Abstract
This review provides a comprehensive synthesis of longitudinal observational and interventional studies on the cardiometabolic effects of coffee consumption. It explores biological mechanisms, and clinical and policy implications, and highlights gaps in the evidence while suggesting future research directions. It also reviews evidence on the causal relationships between coffee consumption and cardiometabolic outcomes from Mendelian randomization (MR) studies. Findings indicate that while coffee may cause short-term increases in blood pressure, it does not contribute to long-term hypertension risk. There is limited evidence indicating that coffee intake might reduce the risk of metabolic syndrome and non-alcoholic fatty liver disease. Furthermore, coffee consumption is consistently linked with reduced risks of type 2 diabetes (T2D) and chronic kidney disease (CKD), showing dose-response relationships. The relationship between coffee and cardiovascular disease is complex, showing potential stroke prevention benefits but ambiguous effects on coronary heart disease. Moderate coffee consumption, typically ranging from 1 to 5 cups per day, is linked to a reduced risk of heart failure, while its impact on atrial fibrillation remains inconclusive. Furthermore, coffee consumption is associated with a lower risk of all-cause mortality, following a U-shaped pattern, with the largest risk reduction observed at moderate consumption levels. Except for T2D and CKD, MR studies do not robustly support a causal link between coffee consumption and adverse cardiometabolic outcomes. The potential beneficial effects of coffee on cardiometabolic health are consistent across age, sex, geographical regions, and coffee subtypes and are multi-dimensional, involving antioxidative, anti-inflammatory, lipid-modulating, insulin-sensitizing, and thermogenic effects. Based on its beneficial effects on cardiometabolic health and fundamental biological processes involved in aging, moderate coffee consumption has the potential to contribute to extending the healthspan and increasing longevity. The findings underscore the need for future research to understand the underlying mechanisms and refine health recommendations regarding coffee consumption.
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Introduction
Adverse cardiometabolic outcomes, encompassing hypertension, metabolic syndrome (MetS), nonalcoholic fatty liver disease (NAFLD), type 2 diabetes (T2D), chronic kidney disease (CKD), and cardiovascular diseases (CVDs), represent a significant public health burden globally. These diseases significantly impact morbidity, life expectancy, quality of life, and mortality. Hypertension, a leading risk factor for CVD and stroke, affects an estimated 1.28 billion adults globally, with a higher prevalence in low- and middle-income countries [1, 2]. Metabolic syndrome, a complex of interconnected metabolic risk factors that include abdominal obesity, insulin resistance, high blood pressure, and atherogenic dyslipidemia (consists of an aggregation of lipoprotein abnormalities including elevated serum triglyceride and apolipoprotein B (apoB), increased small low-density lipoprotein (LDL) particles, and a reduced level of high-density lipoprotein cholesterol (HDL-C)) [3, 4], is an important contributor to T2D, CVD, and premature death [5,6,7,8]. Nonalcoholic fatty liver disease is a cardiometabolic condition which is characterized by hepatic steatosis with varying degrees of necroinflammation and fibrosis [9]. It is a major cause of cirrhosis and hepatocellular carcinoma [9]. Type 2 diabetes, characterized by elevated blood sugar levels, is a common condition contributing to various health complications, including kidney failure, heart disease, and stroke [10]. Chronic kidney disease reveals a troubling burden, in terms of both morbidity and mortality, as well as substantial economic costs associated with its diagnosis and management [11, 12]. Cardiovascular disease, with its major manifestations being coronary heart disease (CHD) and stroke, is the leading cause of death globally [13]. Together, these diseases pose a substantial burden on healthcare systems and global economies. The rising prevalence of these conditions is linked to aging populations[14] and increased exposure to modifiable lifestyle risk factors such as tobacco use, physical inactivity, unhealthy diet, and harmful alcohol consumption [15,16,17]. These lifestyle choices play a pivotal role in the development and progression of these diseases, highlighting the importance of preventive strategies in public health [18].
The role of dietary factors in mitigating the risk of these cardiometabolic diseases is increasingly recognized. A balanced diet, rich in fruits, vegetables, whole grains, and lean proteins, has been shown to have protective effects against these conditions [19,20,21,22]. Amidst various dietary components, coffee consumption emerges as a topic of growing interest due to its widespread use and potential health implications. Coffee, a beverage with a rich history and cultural significance and the most popular and widely consumed beverage in the world [23], has been a subject of numerous studies examining its impact on health [24].
The history of coffee is as rich and robust as the beverage itself, spanning centuries and cultures, with its roots deeply embedded in both social and medicinal contexts [25, 26]. Coffee is believed to have originated in Ethiopia around the ninth century, where its beans were initially chewed for energy by local tribes. The use of coffee as a drink spread to the Arabian Peninsula, and by the sixteenth century, it was known in Persia, Egypt, Syria, and Turkey. Historically, coffee was not only consumed for pleasure but also valued for its medicinal properties [26]. In Arabian culture, coffee was prescribed as a medicine for a variety of ailments from simple headaches to more complex conditions like depression [26]. By the seventeeth century, coffee had made its way to Europe and was sold by apothecaries as a remedy for digestive disorders, a practice that was particularly common in Germany and France. In the 1600s, detailed medicinal reports began appearing on coffee’s beneficial effects, such as its ability to cure certain diseases, aid in digestion, excite mental prowess, and act as a stimulant [26].
The journey of coffee through medical scrutiny has a colorful past [26], highlighted by what might be considered one of the earliest instances of a controlled clinical trial. This experimental approach to understanding coffee’s health effects dates back to the eighteeth century under the rule of Gustav III of Sweden (1746–1792 AD), who had a complex view on the beverage’s safety [27]. The King’s skepticism towards coffee was inherited from a backdrop of stringent regulations instigated by his father, Adolph Frederick, who enacted the “Misuse and Excesses Tea and Coffee Drinking Edict” [28]. This law not only imposed heavy taxes on coffee but also penalized its consumption. In a bold move to investigate health implications of coffee consumption, Gustav III initiated an experiment involving two identical twins convicted of a crime. Their death sentences were commuted to life imprisonment on the condition that they participate in his study, with one twin consuming three pots of coffee daily and the other the same amount of tea. The results were clear when the coffee-drinking twin outlived his tea-consuming counterpart, dying at a later age [27]. This outcome eventually contributed to the lifting of the coffee ban in Sweden during the 1820s.
In modern times, the majority of health practitioners have recommended avoiding coffee in patients with CVD [29], due to side effects such as increased blood pressure (BP) and cardiac arrhythmias [30, 31], that may adversely impact cardiovascular outcomes. In fact, in the 1960s, coffee consumption was proposed as a cardiovascular risk factor [32]. However, recent evidence suggests that coffee consumption may exert beneficial effects on several cardiometabolic outcomes [33, 34]. Studies have shown associations between coffee intake and reduced risk of outcomes such as T2D, CVD, and mortality.[33, 35, 36] However, the evidence has not always been consistent, with some studies suggesting neutral or even adverse effects [33, 37, 38].
Given the extensive literature and several inconsistencies in findings, there is a pressing need to summarize and appraise the evidence surrounding coffee consumption and cardiometabolic health in one single investigation. This will enable patients, clinicians, researchers, and policy makers to make the appropriate interpretations, which can optimally impact on public health and clinical practice. This review aims to provide a comprehensive overview of the current state of evidence, delve into the biological mechanisms through which coffee may exert its cardiometabolic health effects, and discuss the health, clinical, and policy implications. The following adverse cardiometabolic outcomes are evaluated: hypertension, MetS, NAFLD, T2D, CKD, composite CVD, and specific endpoints such as CHD, stroke, heart failure (HF), and atrial fibrillation (AF), and all-cause mortality. This review also discusses the potential of coffee consumption to contribute to the extension of healthspan and improve longevity, based on its benefits to cardiometabolic health. The review also highlights gaps in the existing evidence and suggests future research directions in this area. Additionally, this study reviews evidence on the causal relationships between coffee consumption and these cardiometabolic outcomes using Mendelian randomization (MR) studies. Such a synthesis is very relevant, considering the substantial public health burden attributed to adverse cardiometabolic outcomes and the widespread consumption of coffee globally.
Methods
A search of MEDLINE and Embase was conducted up to May 2024 for randomized controlled trials (RCTs), non-RCTs, and observational studies, including prospective cohort, nested case-control, case-cohort, or retrospective cohort studies, with a particular focus on systematic reviews and meta-analyses of these study designs, based on the hierarchy of evidence [39]. Search terms or keywords related to coffee consumption (“coffee,” “coffee consumption”) and cardiometabolic outcomes (“hypertension,” “metabolic syndrome,” “NAFLD,” type 2 diabetes,” “chronic kidney disease,” “cardiovascular disease,” “coronary heart disease,” “stroke,” “heart failure,” “atrial fibrillation,” “mortality”) were combined. The review was restricted to studies conducted in human population, reported in English, and in adults. For observational studies, the focus was particularly on longitudinal cohort studies given that they address the issue of temporality. Studies that studied the effect of the combination of coffee and tea/cocoa-based beverages were not evaluated. In a separate search, MR studies on coffee consumption and cardiometabolic outcomes were identified.
Types of coffee
Coffee is a complex beverage composed of over 100 biological and chemical components, including carbohydrates, lipids, nitrogenous compounds, vitamins, minerals, and a variety of bioactive compounds such as diterpenes, magnesium, trigonelline, quinides, lignans, alkaloids, and phenolic compounds [40]. The principal active ingredient in coffee, caffeine, is the most widely consumed psychostimulant in the world [41]. The composition of these components can vary significantly depending on the coffee bean variety, roasting degree, and brewing method.
There are two primary types of coffee beans: Arabica and Robusta. Arabica beans, which constitute about 70% of the world’s coffee production, are prized for their smooth flavor and aromatic qualities. Robusta beans, making up the remaining 30%, are more robust and bitter, often used in blends for added body and crema. They contain higher levels of caffeine compared to Arabica beans [42].
Coffee can be classified into two subtypes: instant coffee and ground coffee, which differ in preparation, taste, and caffeine content [42]. Instant coffee is created from brewed coffee that has been freeze-dried or spray-dried into soluble powder or granules. To prepare, you simply dissolve it in hot water, making it a quick and convenient option. Instant coffee typically contains between 60 and 80 mg of caffeine per 8-oz cup. It is often made from lower-grade coffee beans. Ground coffee is made from coffee beans that have been roasted and then ground. It is used in various brewing methods, such as drip brewing, French press, or espresso machines. The caffeine content in ground coffee can vary widely, depending on the bean type, roast level, and brewing method. Generally, an 8-oz cup of ground coffee can contain anywhere between 70 and 140mg of caffeine.
Globally, coffee is enjoyed in numerous forms, ranging from traditional brews like espresso, Americano, and French press to more contemporary styles such as latte, cappuccino, macchiato, mocha, flat white, iced coffee, and cold brew [43]. Each preparation method influences the composition as well as the flavor and texture of the final product. Espresso coffee traces its origins back to Turin in 1884, with the invention of the machine known as “La Brasiliana,” patented by Angelo Moriondo (patent No. 33/256 dated May 16, 1884, and later patent No. 34/381 dated November 20, 1884). This innovation was internationally patented in Paris on October 23, 1885 [44]. The term “espresso coffee” first emerged at the 1906 Milan Fair, coined by Desiderio Pavoni to describe this new coffee preparation method [45]. In 1936, Antonio Cremonese officially included “espresso coffee” in a patent (patent No. 343230). This patent was subsequently purchased and enhanced by Achille Gaggia, who marketed the machine as a “crema coffee” machine. The name “crema coffee” referred to the distinctive layer of crema that differentiated it from instant coffees. Thus, crema coffee evolved into the espresso coffee we recognize today [46]. In 1938, Gaggia filed patent No. 365726, which marked a significant advancement in coffee extraction technology. His machine employed a piston system to push high-temperature water through the coffee powder, creating the first pressurized espresso extraction method. This innovation resulted in espresso coffee that was free from traditional bitterness and burnt aftertaste, characterized instead by a thick, creamy texture [45]. In 1947, Gaggia registered a second patent, introducing a lever system that replaced the press mechanism. This lever pushed water at a pressure of 9/10 atmospheres into the ground coffee, allowing for the extraction of aromatic compounds and the formation of crema. The result was a coffee that retained its full olfactory and taste characteristics. The intense aroma and rich flavor profile contributed to the rapid popularity of “crema espresso,” solidifying it as a celebrated symbol of Italian coffee culture [44].
Coffee can also be categorized based on its caffeine content into caffeinated and decaffeinated varieties. The caffeine extraction involves various methods that reduce caffeine levels while attempting to maintain the original flavor profile.
Coffee can broadly be classified into three preparation styles based on how it is brewed. Boiled coffee is one of the oldest methods, where ground coffee is boiled in water, typically in a pot or kettle. This method does not use a filter, allowing the grounds to naturally settle at the bottom.
Unfiltered coffee is a brewing method in which coffee grounds are steeped in hot water and then separated from the liquid using a method that allows some fine particles to remain in the final brew. This method encompasses styles such as Turkish coffee and French press. In Turkish coffee, the finely ground coffee is simmered in a pot with water and often sugar, then served into cups where the grounds are allowed to settle. In the French press, coarser grounds are steeped in hot water, and then a plunger is used to press the grounds to the bottom of the pot, allowing the brewed coffee to remain above the mesh filter.
The filtered coffee method involves brewing by pouring hot water over coffee grounds contained within a filter. As the water percolates through the grounds, it extracts flavors and compounds, but leaves behind most of the coffee particles and oils, thanks to the filter. This process produces a coffee that is lighter in body and cleaner in taste compared to unfiltered coffee methods. One significant characteristic of filtered coffee is that it lacks the rich diterpene compounds found in unfiltered coffee, such as cafestol and kahweol, which are known to contribute to the oiliness and robust flavor of coffees like those made from a French press or Turkish brewing method. The absence of these diterpenes makes filtered coffee a healthier choice for those concerned about cholesterol, as diterpenes have been shown to elevate LDL cholesterol levels [47].
Coffee consumption and impact on adverse cardiometabolic outcomes
Blood pressure and hypertension
The relationship between coffee consumption and blood pressure (BP)/hypertension is complex. Coffee consumption has been linked to increases in BP or risk of hypertension, whereas some studies suggest a protective effect of coffee intake. A large number of RCTs and observational cohort studies of the effect of coffee or caffeine consumption on BP or hypertension have been conducted, and there have been several efforts to aggregate the evidence using systematic reviews and meta-analyses. Jee and colleagues [48] in their 1999 meta-analysis of 11 RCTs showed that coffee consumption (median dose of 5 cups/day) was associated with increases in systolic and diastolic blood pressure (SBP and DBP, respectively) (2.4 and 1.2 mmHg, respectively) following a median duration of 56 days. The effect of coffee consumption on SBP and DBP was greater in trials with younger participants [48]. In a meta-analysis of 16 caffeine and coffee consumption RCTs of 42 days median duration published by Noordzij and colleagues [49] in 2005, SBP and DBP were shown to increase by 2.04 and 0.73 mmHg, respectively. When coffee and caffeine trials were analyzed separately, BP elevations appeared to be larger for caffeine (SBP 4.16 mmHg (2.13–6.20) and DBP 2.41 mmHg (0.98–3.84)) than for coffee consumption (SBP 1.22 mmHg (0.52–1.92) and DBP 0.49 mmHg (−0.06–1.04)) [49]. In a 2021 meta-analysis of RCTs to evaluate the effects of coffee consumption on MeTS parameters, Ramli and colleagues [50] showed that green coffee extract supplementation reduced SBP and DBP. Mesas and colleagues [51] in 2011 conducted a meta-analysis of five RCTs to summarize the evidence on the acute and longer-term effects of caffeine and coffee intake on BP in hypertensive individuals. Results showed that the administration of 200–300 mg caffeine produced a mean increase of 8.1 mmHg in SBP and of 5.7 mmHg in DBP. The increase in BP was observed in the first hour after caffeine intake and lasted ≥3 h [51]. In three studies of the longer-term effect (2 weeks) of coffee, no increase in BP was observed after coffee was compared with a caffeine-free diet or was compared with decaffeinated coffee [51].
In a 2017 dose-response meta-analysis of seven observational cohort studies by Grosso and colleagues [52], the nonlinear analysis showed a 9% significant decreased risk of hypertension per 7 cups of coffee a day, while, in the linear dose–response analysis, there was a 1% decreased risk of hypertension for each additional cup of coffee per day. In stratified analysis, significant inverse associations were observed in females, but not in males; however, these analyses need to be interpreted with caution given the limited number of studies for the stratified analysis [52]. In a 2018 dose-response meta-analysis of ten observational cohort studies, Xie and colleagues [53] showed that coffee consumption was weakly and inversely associated with the risk of hypertension in a linear dose-response manner. For the dose-response curve, the relative risks (RRs) of hypertension risk were 0.97 (95% CI, 0.95–0.99), 0.95 (95% CI, 0.91–0.99), 0.92 (95% CI, 0.87–0.98), and 0.90 (95% CI, 0.83–0.97) for 2, 4, 6, and 8 cups/day, respectively, compared with individuals with no coffee intakes [53]. The associations did not vary significantly by age and sex in stratified analyses [53]. In a 2019 meta-analysis by D’Elia and colleagues [54] involving four prospective cohort studies, a nonlinear inverse dose-response relationship was demonstrated between coffee consumption and the risk of hypertension. Compared with no coffee consumption, the RRs of hypertension were 1.00 (95% CI, 0.99–1.01) for 1 cup/day, 0.99 (95% CI, 0.97–1.02) for 2 cups/day, 0.97 (95% CI, 0.94–0.99) for 3–4 cups/day, 0.94 (95% CI, 0.91–0.97) for >4–5 cups/day, 0.90 (95% CI, 0.86–0.93) for >5–6 cups/day, and 0.86 (95% CI, 0.82–0.91) for >6–7 cups/day compared with no coffee consumption [54]. The associations did not vary by age categories [54]. In a 2023 meta-analysis of 12 observational cohort studies by Haghighatdoost and colleagues [55], comparing the highest category of coffee consumption with the lowest intake was associated with a 7% reduction in the risk of hypertension (RR=0.93, 95% CI, 0.88–0.97). The associations did not differ significantly by age and sex [55].
Although the precise nature of the relation between coffee and BP is still unclear, most of evidence suggests that coffee consumption may cause short-term increases in BP, with no effect on long-term BP levels. Furthermore, coffee consumption does not increase the risk of hypertension; a weak association between moderate to high (range 2–8 cups/day) coffee consumption and decreased risk of hypertension cannot be ruled out (Fig. 1), and this does not appear to be modified significantly by age or sex.
Metabolic syndrome
The relationship between coffee consumption and MetS has mostly been investigated using cross-sectional study designs, with relatively few based on observational prospective cohort studies. Among 93,179 individuals from two large general population cohorts in a MR study, Nordestgaard and colleagues [56] in 2015 showed that coffee intake was associated with a lower risk of MetS observationally. Compared with individuals with no coffee intake, odds ratios (ORs) for MetS were 0.91 (95% CI, 0.86–0.97) for 0.1–1 cup/day, 0.89 (95% CI, 0.84–0.94) for 1.1–2 cups/day, 0.88 (95% CI, 0.83–0.93) for 2.1–3 cups/day, 0.83 (95% CI, 0.78–0.89) for 3.1–4 cups/ day, 0.84 (95% CI, 0.79–0.90) for 4.1–5 cups/day, and 0.89 (95% CI, 0.83–0.95) for >5 cups/day [56]. The inverse associations did not vary significantly by age or sex [56]. Among 2554 older Australian adults followed over a 10-year period, Wong and colleagues [57] in 2022 showed that coffee consumption was not associated with the incidence of MetS. In a cohort of 10,253 participants without MetS at baseline, Corbi-Cobo-Losey and colleagues [58] in 2023 investigated the association between coffee consumption and incident MetS and showed that coffee consumption of ≥1 to <4 cups/day (moderate consumption) was associated with a significantly lower odds of developing MetS compared to consumption of <1 cup/month [58]. Compared with <1 cup/month, ORs were 0.79 (95% CI, 0.53–1.16) for ≥1 cup/month to <1 cup/day, 0.71 (95% CI, 0.50–0.99) for ≥1 cup/day to <4 cups/day, and 0.73 (95% CI, 0.42–1.29) for ≥4 cups/day [58]. There was no significant evidence of interactions by age or sex [58]. In a 2021 meta-analysis that pooled data separately on 13 cross-sectional studies and 2 observational cohort studies, none of the summary estimates showed evidence of an association between coffee consumption and the MetS [59]. In a 2021 systematic review and meta-analysis of RCTs to evaluate the effects of coffee consumption on MetS parameters, Ramli and colleagues [50] showed that green coffee extract supplementation reduced waist circumference, triglyceride levels, HDL-C levels, SBP, and DBP, whereas decaffeinated coffee reduced fasting blood glucose levels.
Limited prospective evidence suggests that moderate to high coffee consumption might be associated with a reduced risk of MetS (Fig. 1).
Nonalcoholic fatty liver disease
Only few prospective studies have evaluated the association between coffee consumption and the risk of NAFLD; most of the evidence is based on cross-sectional study designs, which lack temporality.
Zelber-Sagi and colleagues [60] prospectively evaluated the association between coffee consumption and onset of NAFLD in the general population and demonstrated no evidence of an association. In a 2017 prospective analysis of a multiethnic cohort, Setiawan and colleagues [61] showed evidence of an inverse association between coffee consumption and the risk of NAFLD, consistent with a dose-response relationship. Compared with individuals with never drinkers, ORs were 1.00 (95% CI, 0.89–1.12) for <1 cup/day, 0.93 (95% CI, 0.84–1.03) for 1 cup/day, 0.85 (95% CI, 0.75–0.96) for 2–3 cups/day, and 0.66 (95% CI, 0.53–0.83) for ≥4 cups/day. Chung and colleagues [62] in 2020 evaluated the association between coffee consumption and fatty liver disease in a large Korean cohort and demonstrated that the incidence of fatty liver was not associated with the amount of coffee consumption at baseline, but was lowered with an increment in the amount of coffee consumption at the follow-up period overall and in males but not in females [62]. Multiple meta-analyses have demonstrated a protective association of coffee intake with the development of NAFLD, but they mostly combined observational cross-sectional, case-control and cohort studies [63,64,65].
In summary, coffee consumption might be associated with a reduced risk of NAFLD in a dose-response manner, but this is based on limited prospective evidence (Fig. 1).
Type 2 diabetes
Numerous individual studies have shown that long-term coffee consumption is consistently associated with a significantly lower risk of developing T2D. Using the Nurses’ Health Study (NHS) and Health Professionals’ Follow-up Study (HPFS), Salazar-Martinez and colleagues [66] in 2004 evaluated the long-term relationship between coffee consumption and other caffeinated beverages and the incidence of T2D. Coffee consumption was assessed every 2 to 4 years. Compared to no coffee consumption, the RRs of T2D risk in men were 0.98 (95% CI, 0.84–1.15) for <1 cup/day, 0.93 (95% CI, 0.80–1.08) for 1–3 cups/day, 0.71 (95% CI, 0.53–0.94) for 4–5 cups/day, and 0.46 (95% CI, 0.26–0.82) for ≥6 cups/day. The results were similar for women and were not modified by smoking or body mass index [66]. The associations between decaffeinated coffee and T2D risk were inverse and modest [66]. In a 2006 prospective analysis of the Iowa Women’s Health Study, which included 28,812 postmenopausal women who were free of diabetes and CVD, compared with women who reported 0 cups of coffee/day, women who consumed ≥6 cups/day had a 22% lower risk (RR=0.78; 95% CI, 0.61–1.01) of T2D [67]. This association appeared to be largely driven by decaffeinated coffee (RR=0.67; 95% CI, 0.42–1.08) rather than regular coffee (RR=0.79; 95% CI, 0.59–1.05) [67]. In another analysis of the NHS and HPFS cohorts, Bhupathiraju and colleagues [68] in 2014 examined the associations between 4-year changes in coffee consumption and the risk of T2D in the subsequent 4 years. The results showed that participants who increased their coffee consumption by more than 1 cup/day over a 4-year period had an 11% (95% CI 3%, 18%) lower risk of T2D in the subsequent 4 years compared with those who made no changes in consumption. Furthermore, participants who decreased their coffee intake by more than 1 cup/day had a 17% (95% CI 8%, 26%) higher risk for T2D. In the MR study by Nordestgaard and colleagues [56] in 2015, coffee intake was shown to be associated with a lower risk of T2D observationally. Compared with individuals with no coffee intake, hazard ratios (HRs) for T2D were 0.70 (95% CI, 0.54–0.91) for 0.1–1 cup/day, 0.66 (95% CI, 0.51–0.86) for 1.1–2 cups/day, 0.72 (95% CI, 0.56–0.93) for 2.1–3 cups/day, 0.52 (95% CI, 0.38–0.71) for 3.1–4 cups/day, 0.48 (95% CI, 0.35–0.67) for 4.1–5 cups/day, and 0.57 (95% CI, 0.42–0.78) for >5 cups/day [56]. The inverse associations did not vary significantly by age or sex [56].
Systematic reviews and meta-analysis of these individual studies also support the hypothesis that habitual coffee consumption is linked with a substantially lower risk of T2D. In pooled analysis of nine cohort studies to evaluate the association between habitual coffee consumption and risk of T2D, van Dam and Hu [69] in 2005 reported RRs for T2D to be 0.65 (95% CI, 0.54–0.78) for the highest (≥6 or ≥7 cups/day) and 0.72 (95% CI, 0.62–0.83) for the second highest (4–6 cups/day) category of coffee consumption compared with the lowest consumption category (0 or ≤2 cups/day). The associations did not vary substantially by sex, obesity, or region (USA and Europe) [69]. In a 2014 systematic review and dose-response meta-analysis of 28 prospective studies by Ding and colleagues [70], compared with no or rare coffee consumption, the RR for T2D was 0.92 (95% CI, 0.90–0.94), 0.85 (95% CI, 0.82–0.88), 0.79 (95% CI, 0.75–0.83), 0.75 (95% CI, 0.71–0.80), 0.71 (95% CI, 0.65–0.76), and 0.67 (95% CI, 0.61–0.74) for 1–6 cups/day, respectively. The RR of T2D for a 1 cup/day increase was 0.91 (95% CI, 0.89–0.94) for caffeinated coffee consumption and 0.94 (95% CI, 0.91–0.98) for decaffeinated coffee consumption (p-value for interaction = 0.17) [70]. In stratified analyses, the inverse associations between coffee consumption and risk of T2D were similar by geographical region (USA, Europe, and Asia) and sex [70]. In a 2018 meta-analysis involving pooled analysis of 30 prospective studies, the pooled RR was 0.71 (95% CI, 0.67–0.76) for the highest category of coffee consumption (median consumption, 5 cups/day) vs the lowest category (median consumption, 0 cups/day) [36]. The risk of T2D decreased by 6% (RR = 0.94; 95% CI, 0.93–0.95) for each cup/day increase in coffee consumption. Results were similar for caffeinated coffee consumption (per additional cup of coffee per day: RR=0.93; 95% CI, 0.90–0.96) and decaffeinated coffee consumption (RR=0.94; 95% CI, 0.90–0.98) [36]. The data showed no clear differences in the association between coffee consumption and risk of T2D by age, sex, or geographic region [36].
In summary, a significant body of robust research suggests that coffee consumption is inversely associated with the risk of developing T2D in a dose-response manner; with the largest risk reduction observed for high consumption (≥6 cups/day) (Fig. 1).
Chronic kidney disease
Lew and colleagues [71] in 2018 analyzed data from a prospective cohort of 63,257 Chinese men and women and demonstrated evidence of an association between coffee intake and end-stage renal disease (ESRD). Compared with individuals with no coffee intake or <1 cup/day, HRs were 0.91 (95% CI, 0.79–1.05) for 1 cup/day and 0.82 (95% CI, 0.71–0.96) for ≥2 cups/day. When stratified by sex, this association was observed in men but not in women [71]. Jhee and colleagues [72] in analysis of the Korean Genome and Epidemiology Study (KoGES) cohort in 2018 demonstrated that daily coffee intake was associated with a decreased risk of CKD. Compared with no coffee intake, HRs were 0.76 (95% CI, 0.63–0.92) for 1 cup/day and 0.80 (95% CI, 0.65–0.98) for ≥2 cups/day [72]. In a 2018 analysis of the Atherosclerosis Risk in Communities (ARIC) Study, higher coffee consumption was shown to be associated with a lower risk of CKD [73]. Compared with individuals with no coffee intake, HRs were 0.90 (95% CI, 0.82–0.99) for <1 cup/day, 0.90 (95% CI, 0.82–0.99) for 1 to <2 cups/day, 0.87 (95% CI, 0.77–0.97) for 2 to <3 cups/day, and 0.84 (95% CI, 0.75–0.94) for ≥3 cups/day [73]. The associations were similar in males and females [73]. Srithongkul and Ungprasert [74] in 2020 conducted a meta-analysis of four observational cohort studies and reported a decreased risk of incident CKD among coffee-drinkers compared with non-drinkers: pooled RR of 0.87 (95% CI, 0.81–0.95). In a 2021 meta-analysis of seven prospective cohort studies, coffee consumption was associated with a significant decrease in the risk for incident CKD, consistent with a dose-response relationship. Compared with non-drinkers, the RR of CKD for coffee-drinkers was 0.86 (95% CI, 0.76–0.97); furthermore, compared with non-drinkers, the RR was 0.87 (95% CI, 0.77–0.98) for ≤1 cup/day and 0.82 (95% CI, 0.74–0.92) for ≥2 cups/day [75]. There was no significant evidence that sex modified the association (albeit based on limited number of studies) [75]. In analysis of over 350,000 participants from the UK Biobank, Tang and colleagues [76] in 2022 demonstrated coffee consumption to be associated with a reduced risk of CKD in a dose-dependent manner. Compared with individuals with no coffee intake, HRs were 0.94 (95% CI, 0.88–1.00) for ≤1 cup/day, 0.89 (95% CI, 0.83–0.95) for 2–3 cups/day, 0.86 (95% CI, 0.79–0.94) for 4–5 cups/day, and 0.85 (95% CI, 0.75–0.95) for ≥6 cups/day. Subgroup analysis showed that the inverse coffee-CKD relationship existed in females, but not males. The coffee–CKD association did not significantly differ by age and lifestyle factors such as smoking status and alcohol consumption. Furthermore, the associations did not differ by coffee types (instant, ground, and decaffeinated) [76].
A consistent body of evidence suggests a protective effect of coffee consumption on CKD risk, and this is consistent with a dose-response relationship; higher doses are associated with the largest risk reductions (Fig. 1).
Cardiovascular disease including coronary heart disease and stroke
CHD
The link between coffee consumption and CVD, including CHD and stroke, is an area of ongoing research, with studies yielding mixed results. In a prospective evaluation of 20,179 randomly selected eastern Finnish men and women, Kleemola and colleagues [77] in 2000 showed that coffee consumption was not associated with the risk of nonfatal MI. Lopez-Garcia and colleagues [78] in 2006 evaluated the association between long-term habitual coffee consumption and risk of CHD in the HPFS and NHS, with cumulative coffee consumption categorized as <1 cup/month, 1 cup/month to 4 cups/week, 5 to 7 cups/week, 2 to 3 cups/day, 4 to 5 cups/day, and ≥6 cups/day. The results showed no significant evidence of associations between coffee consumption and CHD in men and women. Grioni and colleagues [79] in 2015 investigated 12,800 men and 30,449 women without a history of CVD and showed that consumption of over 2 cups/day of Italian-style coffee was associated with an increased risk of CHD: HRs of 1.37 (95% CI, 1.03–1.82) for >2–4 cups/day and 1.52 (95% CI 1.11–2.07) for over 4 cups/day.
Sofi and colleagues [37] in their 2007 meta-analysis of 13 case-control and 10 cohort studies showed a significant association between high coffee consumption and increased risk of CHD in the case-control studies: ORs of 1.83 (95% CI, 1.49–2.24) for >4 cups/day and 1.33 (95% CI, 1.04 to 1.71) for 3 to 4 cups/day, with no significant evidence of associations in the long-term follow-up cohort studies. In a 2009 meta-analysis of 21 prospective cohort studies, coffee consumption was not associated with the risk of CHD. Compared to light coffee consumption (<1 cup/day in US or ≤2 cups/day in Europe), the pooled RRs for CHD were 0.96 (95% CI, 0.87–1.06) for moderate (1–3 or 3–4 cups/day), 1.04 (95% CI, 0.92–1.17) for heavy (4–5 or 5–6 cups/day), and 1.07 (95% CI, 0.87–1.32) for very heavy (≥6 or ≥7 cups/day) categories of coffee consumption [80]. However, in subgroup analysis, moderate coffee consumption was associated with reduced risk of CHD in women, but not in men: RRs of 0.82 (95% CI, 0.73–0.92) and 1.01 (95% CI, 0.89–1.14), respectively [80]. In a 2018 meta-analysis of 6 cohort studies and 11 case-control studies, Mo and colleagues [81] showed that compared with <1 cup, daily consumption of 3–4 cups and >4 cups of coffee were significantly associated with an increased risk of MI: pooled ORs were 1.40 (95% CI, 1.11–1.77) and 1.48 (95% CI, 1.22–1.79), respectively. The dose–response relationship was consistent with a “J–shaped” curve; the increased risk of MI was observed in men but not women [81]. However, the associations did not vary by geographical location (Europe and North America) and coffee subtype (caffeinated and decaffeinated) [81]. In a 2023 meta-analysis of 32 prospective cohort studies, comparing the highest category of coffee consumption in comparison with the lowest intake was not associated with the risk of CHD (RR=1.05, 95% CI, 0.97–1.14) [38]. In a subgroup analysis by gender, coffee consumption was associated with an increased risk of CHD in men (RR = 1.19, 95% CI 1.05–1.35), but not in women (RR = 0.91, 95% CI 0.77–1.08) [38].
Stroke
In the 24-year follow-up of the NHS, Lopez-Garcia and colleagues [82] in 2009 showed that habitual coffee consumption may modestly reduce risk of stroke: RRs of 0.98 (95% CI, 0.84–1.15) for 1 cup/month to 4 cups/week, 0.88 (95% CI, 0.77–1.02) for 5 to 7 cups/week, 0.81 (95% CI, 0.70–0.95) for 2 to 3 cups/day, and 0.80 (95% CI, 0.64–0.98) for ≥4 cups/day compared to <1 cup/month. These results applied to both ischemic and hemorrhagic stroke and the association was stronger among never and past smokers than among current smokers [82]. The results were qualitatively similar for caffeinated and decaffeinated coffee [82]. In a 2021 analysis of the UK Biobank cohort, Zhang and colleagues [83] demonstrated nonlinear associations of coffee consumption with the risk of stroke; coffee consumption of 2–3 cups/day was associated with the highest risk reduction. Compared to no coffee consumption, the HRs for stroke were 0.90 (95% CI, 0.85–0.95) for 0.5–1 cup/day, 0.88 (95% CI, 0.84–0.94) for 2–3 cups/day, and 0.92 (0.86–0.98) for ≥4 cups/day. The results were qualitatively similar for ischemic and hemorrhagic stroke [83].
In a 2011 dose-response meta-analysis of 11 prospective cohort studies, there was some evidence of a nonlinear association between coffee consumption and risk of stroke [84]. Compared with no coffee consumption, the RRs of stroke were 0.86 (95% CI, 0.78–0.94) for 2 cups/day, 0.83 (95% CI, 0.74–0.92) for 3–4 cups/day, 0.87 (95% CI, 0.77–0.97) for 6 cups/day, and 0.93 (95% CI, 0.79–1.08) for 8 cups/day [84]. The associations were similar for males and females and across geographical regions [84]. In a 2021 meta-analysis of seven long-term cohort studies, comparing the highest versus lowest category of coffee consumption was associated with a reduced risk of overall, hemorrhagic, and ischemic stroke: HRs of 0.92 (95% CI, 0.86–0.99), 0.90 (95% CI, 0.82–0.97), and 0.83 (95% CI, 0.74–0.88), respectively [85]. The results were similar in females [85]. In another 2021 meta-analysis which involved 21 studies including 30 independent cohorts comprising more than 2.4 million participants, findings showed evidence of a significant inverse association between coffee consumption and risk of stroke [86]. The pooled RR for the highest versus the lowest categories of coffee consumption was 0.87 (95% CI, 0.80–0.94). A dose-response analysis was consistent with a nonlinear relationship (U-shape). The strongest association for stroke (21% lower risk) was found for coffee consumption of 3–4 cups/day, with no further reduction in stroke risk observed with increasing levels of coffee consumption beyond this amount [86]. Similar associations were observed for males and females [86].
CVD
In 2016, Nordestgaard and Nordestgaard [87] investigated observational and causal associations between coffee intake and CVD mortality among 95,000–223,000 individuals. In observational analyses, CVD mortality appeared to be lower with higher coffee intake [87]. Compared with individuals with no coffee intake, HRs were 0.99 (95% CI, 0.76–1.29) for 0–1 cup/day, 1.04 (95% CI, 0.80–1.36) for 1–2 cups/day, 0.92 (95% CI, 0.70–1.21) for 2–3 cups/day, 0.93 (95% CI, 0.68–1.27) for 3–4 cups/day, 0.71 (95% CI, 0.50–1.00) for 4–5 cups/day, and 0.81 (95% CI, 0.59–1.12) for >5 cups/day. The associations were less prominent in never smokers compared with former and current smokers [87]. In analysis of 347,077 individuals in the UK Biobank, including 8368 incident CVD cases, Zhou and Hyppönen [88] in 2019 showed the association between habitual coffee intake and CVD risk to be nonlinear, and, compared with participants drinking 1–2 cups/day, the risk of CVD was increased for non-drinkers, drinkers of decaffeinated coffee, and those who reported drinking >6 cups/day: ORs of 1.11 (95% CI, 1.04–1.18), 1.07 (95% CI, 1.00–1.15), and 1.22 (95% CI, 1.07–1.40), respectively. There was no evidence of associations for <1 cup/day, 3–4 cups/day, and 5–6 cups/day [88]. In a 2014 meta-analysis of 36 prospective cohort studies comprising 1.2 million participants and over 36,000 CVD cases, a nonlinear relationship between coffee consumption and CVD risk was demonstrated. Moderate coffee consumption was associated with a reduced CVD risk, with the lowest CVD risk at 3 to 5 cups/day, and heavy coffee consumption was not associated with an increased CVD risk [89]. Compared with the lowest category of coffee consumption (median 0 cups/day), the pooled RR for incident CVD was 0.89 (95% CI, 0.84–0.94) for the third highest category (median 1.5 cups/day), 0.85 (95% CI, 0.80–0.90) for the second highest category (median 3.5 cups/day), and 0.95 (95% CI, 0.87–1.03) for the highest category (median 5 cups/day) of coffee consumption. The results were qualitatively similar for CHD and stroke outcomes [89]. In stratified analyses, the results were similar across age, sex, smoking status, geographical location, and coffee subtype (caffeinated and decaffeinated) [89]. In a 2016 dose-response meta-analysis of 31 prospective cohort studies on the association between coffee consumption and CVD mortality risk, with stratified analyses by smoking status and other potential confounders, Grosso and colleagues [90] demonstrated decreased CVD mortality risk (RR=0.85, 95% CI, 0.77–0.93) for consumption of up to 4 cups/day of coffee, with no further decrease in risk for higher consumption. The dose-response relationship was J-shaped for smokers, but linear for non-smokers. The coffee–CVD mortality association did not significantly differ by gender, geographical area, year of publication, and type of coffee [90]. In an updated dose-response meta-analysis of 40 prospective cohort studies, Kim and colleagues [91] in 2019 showed a non-linear inverse association between coffee consumption and CVD mortality. The lowest RR was at 2.5 cups/day for CVD mortality (RR=0.83, 95% CI, 0.80–0.87), with no further increase in risk with additional consumption [91]. In a 2022 analysis of the UK Biobank cohort comprising approximately half a million participants, Chieng and colleagues [35] showed that habitual coffee intake of up to 5 cups/day was associated with significant reductions in the risk of incident CVD and CVD mortality, when compared with non-drinkers. The lowest risk for CHD and ischemic stroke was observed in those who consumed 2–3 cups/day: HRs of 0.89 (95% CI, 0.86–0.91) and 0.84 (95% CI, 0.78–0.90), respectively. All coffee subtypes were associated with a reduction in incident CVD, the lowest risk was 2–3 cups/day for decaffeinated, ground, and instant coffee vs. non-drinkers [35].
Given that coffee consumption may produce short-term increases in blood pressure [51], the impact of coffee consumption on CVD in individuals with hypertension is of interest. Teramoto and colleagues [92] evaluated the impact of coffee consumption on CVD mortality among people with and without hypertension. Coffee consumption was associated with an increased risk of CVD mortality among people with grade 2–3 hypertension; HRs of 0.98 (95% CI, 0.67–1.43) for <1 cup/day, 0.74 (95% CI, 0.37–1.46) for 1 cup/day, and 2.05 (95% CI, 1.17–3.59) for ≥2 cups/day, compared with non–coffee drinkers [92]. There were no significant evidence of associations among people with optimal and normal, high-normal BP, and grade 1 hypertension [92]. In pooled analysis of seven observational cohort studies, there was no evidence of an association between habitual coffee consumption and a higher risk of CVD in individuals with hypertension [51].
In summary, the impact of coffee consumption on heart health remains a subject of debate. Evidence on the association between coffee consumption and CVD is mixed, but a U-shape relationship cannot be ruled out. The overall evidence suggests that coffee consumption is not associated or may be associated with an increased risk of CHD, whereas coffee consumption may be associated with a reduced risk of stroke, with the largest risk reductions observed for moderate consumption (Fig. 1).
Other cardiovascular outcomes
Heart failure
In a 2012 dose-response meta-analysis of five prospective cohort studies of coffee consumption and HF risk, a J-shaped relationship was observed between coffee consumption and HF [93]. Compared with no consumption, the pooled RR for HF was 0.96 (95% CI, 0.90–0.99) for 1–2 servings/day, 0.93 (95% CI, 0.86 to 0.99) for 2–3 servings/day, 0.90 (95% CI, 0.82–0.99) for 3–4 servings/day, 0.89 (95% CI, 0.81–0.99) for 4–5 servings/day, 0.91 (95% CI, 0.83–1.01) for 5–6 servings/day, 0.93 (95% CI, 0.85–1.02) for 6–7 servings/day, 0.95 (95% CI, 0.87–1.05) for 7–8 servings/day, 0.97 (95% CI, 0.89–1.07) for 8–9 servings per day, 0.99 (95% CI, 0.90–1.10) for 9–10 servings/day, 1.01 (95% CI, 0.90–1.14) for 10–11 servings/day, and 1.03 (95% CI, 0.89–1.19) for 11 servings/day. There was no evidence that the relationship between coffee consumption and HF risk varied by sex [93]. In a machine learning analysis of the Framingham Heart Study (FHS), Cardiovascular Heart Study (CHS), and the ARIC study, Stevens and colleagues [94] in 2021 showed that higher coffee intake was associated with reduced risk of HF in all three studies. Compared with no coffee consumption, the HR for HF was 0.69 (95% CI, 0.55–0.87) for 2 cups/day and 0.71 (95% CI, 0.58-0.89) for ≥3 cups/day [94]. In a 2022 analysis of the UK Biobank cohort comprising approximately half a million participants, Chieng and colleagues [35] showed that coffee consumption at all levels was associated with significant reduction in the risk of congestive cardiac failure (CCF). The lowest risk was observed in those who consumed 2–3 cups/day, with HR of 0.83 (95% CI, 0.79–0.87) [35]. All coffee subtypes (decaffeinated, instant, and ground) were associated with a reduction in the risk of CCF [35]. In a 2023 evaluation of the UK Biobank cohort comprising approximately half a million adult men and women, Han and colleagues [95] demonstrated a nonlinear J-shaped association between coffee consumption and HF risk. Compared with drinking coffee <1 cup/day, the HRs for HF were 0.88 (95% CI, 0.84–0.92) for 1–2 cups/day, 0.92 (95% CI, 0.87–0.97) for 3–4 cups/day, and 1.21 (95% CI, 1.06–1.39) for >6 cups/day [95]. Stratified analyses by gender and smoking status yielded similar results, except that >6 cups/day did not significantly increase the risk of HF [95]. The associations were similar for coffee subtypes (decaffeinated, instant and ground) [95].
The overall evidence suggests that coffee consumption is associated with a reduced risk of HF, consistent with a J-shaped relationship. Moderate consumption (range 2–5 cups/day) is associated with the largest risk reduction. Higher consumption may be associated with an increased risk of HF (Fig. 1).
Atrial fibrillation and arrhythmias
The link between coffee consumption and AF has been investigated in numerous individual studies as well as pooled analyses of these studies. In a 2014 meta-analysis of six observational cohort studies, coffee/caffeine intake was weakly associated with a reduced risk of AF (RR=0.90; 95% CI, 0.81–1.01) [96]. In subgroup analyses, there was an 11% reduction for low doses (RR=0.89; 95% CI, 0.80–0.99) and 16% for high doses (RR=0.84; 95% CI, 0.75–0.94). Dose-response analysis showed the incidence of AF decreased by 6% (RR=0.94; 95% CI, 0.90–0.99) for every 300 mg/day increment in habitual caffeine intake [96]. In a 2021 meta-analysis of 12 observational cohort studies, caffeine/coffee consumption was not associated with an increased or decreased risk of new-onset AF compared with no caffeine/coffee consumption (pooled RR=0.98; 95% CI, 0.88–1.09) [97]. The highest category of caffeine/coffee consumption (≥5 cups/day) was not associated with an increased or decreased risk of new-onset AF compared with the lowest category (1–2 cups/day) (pooled RR=0.95; 95% CI, 0.84–1.06) [97]. These findings were consistent with previous meta-analyses on the same topic [98,99,100]. In a 2022 analysis of the UK Biobank cohort comprising approximately half a million participants, Chieng and colleagues [35] demonstrated a U-shaped relationship between increasing levels of coffee consumption and incidence of any arrhythmia (defined as ectopy, AF/flutter, supraventricular tachycardia (SVT), or ventricular tachycardia (VT)/ventricular fibrillation (VF)). The lowest risk for arrhythmias was seen in those who consumed 2–3 coffee cups/day, with a HR of 0.91 (95% CI, 0.88–0.94). For AF/flutter, significant risk reductions were seen in those who consumed between 1 and 5 cups/day, with the peak risk reduction seen in 4–5 cups/day (HR=0.88, 95% CI, 0.83–0.94). For VT/VF, increasing coffee consumption was associated with lower risk of incident arrhythmia, with the lowest risk seen in 4–5 cups/day (HR=0.83, 95% CI 0.70–0.97). In specific evaluation of coffee subtypes, ground and instant coffee consumption was associated with a significant reduction in arrhythmia at 1–5 cups/day but not for decaffeinated coffee. The lowest risk was 4–5 cups/day for ground coffee (HR=0.83, 95% CI, 0.76–0.91) and 2–3 cups/day for instant coffee (HR=0.88, 95% CI, 0.85–0.92) [35]. In a 2022 updated meta-analysis of 10 observational cohort studies, coffee consumption was not associated with the risk of AF: compared with the lowest coffee intake level, the pooled RR for AF was 0.96 (95% CI, 0.88–1.03) for the highest intake (median ≥ 4 cups/day) and 0.93 (95% CI, 0.88–1.03) for the second-highest (median 2.5 cups/day) intake of coffee [101]. In dose-response analysis, the RRs of AF risk estimated directly from the dose–response curve were 1.01 (95% CI, 0.98–1.03), 1.00 (95% CI, 0.97–1.04), 0.99 (95% CI, 0.92–1.02), 0.95 (95% CI, 0.89–1.01), 0.94 (95% CI, 0.87–1.01), 0.89 (95% CI, 0.79–1.02), and 0.87 (95% CI, 0.76–1.02) for 1–7 cups of coffee per day, respectively [101]. There was no significant evidence that sex modified the associations between coffee consumption and AF risk [101]. In a 2023 prospective, randomized, case-crossover trial to examine the effects of caffeinated coffee on cardiac ectopy, arrhythmias, and other outcomes, Marcus and colleagues [102] demonstrated that the consumption of caffeinated coffee did not result in significantly more daily premature atrial contractions than the avoidance of caffeine.
The overall evidence remains mixed, with most of the evidence showing no significant evidence of an association between coffee consumption and risk of AF. However, a weak association between moderate coffee consumption and reduced risk of AF cannot be ruled out (Fig. 1).
All-cause mortality
The relationship between coffee consumption and all-cause mortality has been extensively studied, with most research indicating a beneficial link. Malerba and colleagues [103] in their 2013 meta-analysis which was based on 23 prospective cohort studies showed that coffee intake was inversely associated with all-cause mortality. The pooled RR of all-cause mortality comparing the highest versus lowest (≤1 cup/day) coffee drinking categories was 0.88 (95 % CI, 0.84–0.93) [103]. Similar associations were observed in males and females [103]. In a 2014 meta-analysis of 20 prospective cohort studies, coffee consumption was shown to be associated with a reduced risk of all-cause mortality, consistent with a nonlinear dose-response relationship [104]. The RR of all-cause mortality comparing high (≥5–9 or ≥2–4 cups/day) vs low/no coffee consumption was 0.86 (95% CI, 0.80–0.92). The pooled RR comparing moderate (1–2 cups/day) vs low/no coffee consumption was 0.92 (95% CI, 0.87–0.98). The inverse association was similar for men and women [104]. In another 2014 meta-analysis which was based on 21 prospective cohort studies, Crippa and colleagues [105] demonstrated strong evidence of nonlinear associations between coffee consumption and all-cause mortality. The largest risk reduction was observed for 4 cups/day: RR of 0.84 (95% CI, 0.82–0.87) [105]. The associations were similar for males and females [105]. In a 2015 analysis of three large ongoing cohort studies (NHS, NHS II, and HPFS), Ding and colleagues [106] demonstrated a nonlinear association between coffee consumption and risk of all-cause mortality, with moderate coffee consumption being associated with lower mortality risk, and high coffee consumption not being associated with mortality risk. Relative to no coffee consumption, the pooled HR was 0.95 (95% CI, 0.91–0.99) for ≤ 1cup/day, 0.91 (95% CI, 0.88–0.95) for 1.1–3 cups/day, 0.93 (95% CI, 0.89–0.97) for 3.1–5 cups/day, and 1.02 (95% CI, 0.96–1.07) for >5 cups per day. Similar results were found for caffeinated and decaffeinated coffee. The association became linear and inverse when analysis was restricted to never smokers [106]. Zhao and colleagues in a 2015 meta-analysis of 17 prospective cohort studies demonstrated a U-shaped dose-response relationship between coffee consumption and all-cause mortality [107]. Compared with non/occasional coffee drinkers, the RRs for all-cause mortality were 0.89 (95% CI, 0.85, 0.93) for 1 to <3 cups/day, 0.87 (95% CI, 0.83, 0.91) for 3 to <5 cups/day, and 0.90 (95% CI 0.87, 0.94) for ≥5 cups/day, and the relationship was more marked in females than in males [107]. Nordestgaard and Nordestgaard [87] in 2016 investigated observational and causal associations between coffee intake and all-cause mortality among 95,000–223,000 individuals. Their observational analyses showed U-shaped associations between coffee intake and all-cause mortality; the lowest risk was observed in individuals with moderate coffee intake (2–5 cups/day) [87]. Compared with individuals with no coffee intake, HRs were 0.87 (95% CI, 0.78–0.96) for 0–1 cup/day, 0.89 (95% CI, 0.79–0.99) for 1–2 cups/day, 0.79 (95% CI, 0.70–0.88) for 2–3 cups/day, 0.87 (95% CI, 0.77–0.99) for 3–4 cups/day, 0.78 (95% CI, 0.68–0.89) for 4–5 cups/day, and 0.81 (95% CI, 0.72-0.93 ) for >5 cups/day [87]. In a 2016 dose-response meta-analysis of 31 prospective cohort studies on the association between coffee consumption and all-cause mortality risk, Grosso and colleagues [90] demonstrated decreased all-cause mortality risk (RR=0.86, 95% CI, 0.82–0.89) for consumption of up to 4 cups/day of coffee, with no further decrease in risk for additional consumption. The dose-response relationship was J-shaped for smokers, but linear for non-smokers. The coffee–CVD mortality association did not significantly differ by gender, geographical area, year of publication, and type of coffee [90]. In an updated dose-response meta-analysis of 40 prospective cohort studies, Kim and colleagues [91] in 2019 showed a non-linear inverse association between coffee consumption and all-cause mortality. The lowest RR was at 3.5 cups/day for all-cause mortality (RR=0.85, 95% CI, 0.82–0.89), with no further increase in risk with additional consumption [91]. The inverse association between coffee consumption and all-cause mortality did not vary by age, overweight status, alcohol drinking, smoking status, and caffeine content of coffee [91]. In another 2019 dose-response meta-analysis of 21 observational cohort studies, a nonlinear association between coffee consumption and all-cause mortality was observed [108]. Compared with no or rare coffee consumption, the RR for all-cause mortality for consumption of 3 cups/day was 0.87 (95% CI, 0.84–0.89). Similar inverse associations were observed for males and females and for caffeinated and decaffeinated coffee [108]. In pooled analysis of 12 prospective cohort studies including 248,050 men and 280,454 women from the Asia Cohort Consortium conducted in China, Japan, Korea, and Singapore, Shin and colleagues [109] in 2022 reported an association between coffee consumption and lower risk of all-cause mortality in men and women. Compared to non-coffee drinkers, the pooled RR of all-cause mortality for men were 0.83 (95% CI, 0.79–0.87) for <1 cup/day, 0.78 (95% CI, 0.73–0.83) for 1 to <3 cups/day, 0.76 (0.67–0.85) for 3 to <5 cups/day, and 0.76 (95% CI, 0.71–0.83) for ≥5 cups/day [109]. The corresponding RRs in women were 0.86 (95% CI, 0.82–0.90) for <1 cup/day, 0.80 (95% CI, 0.72–0.89) for 1 to <3 cups/day, 0.65 (0.54–0.78) for 3 to <5 cups/day, and 0.72 (95% CI, 0.63–0.81) for ≥5 cups/day [109]. In a 2022 analysis of the UK Biobank cohort comprising approximately half a million participants, a significant reduction in all-cause mortality was associated with coffee consumption up to 5 cups/day, with the greatest effect seen with 2–3 cups/day (HR=0.86, 95% CI, 0.83–0.89) [35]. All-cause mortality was significantly reduced for all coffee subtypes, with the greatest risk reduction seen with 2–3 cups/day [35].
In summary, coffee consumption is generally associated with a lower risk of all-cause mortality consistent with a nonlinear U-shape, with the largest risk reduction being observed for moderate consumption (range 1–5 cups/day) (Fig. 1).
Enhancing the healthspan and increasing longevity
Healthspan refers to the period of one’s life that is spent in good health, free from the chronic diseases and disabilities typically associated with aging [110]. The objective of extending the healthspan is to maximize the years of active, healthy living, rather than merely prolonging life. Common strategies to enhance the healthspan include maintaining a balanced diet, engaging in regular physical activity, managing stress, and avoiding harmful substances. Longevity, on the other hand, is defined as the length of an individual’s life. Increasing longevity means extending the number of years lived, ideally while also enhancing the quality of life in those additional years. The evidence suggests that moderate coffee consumption (typically 1–5 cups per day) may play a protective role against several major cardiometabolic diseases, including T2D and CKD, which are prominent contributors to morbidity and mortality. Additionally, coffee’s potential to prevent stroke and its association with reduced all-cause mortality further supports its role in enhancing healthspan and potentially increasing longevity.
Evidence from Mendelian randomization studies
Mendelian randomization studies provide valuable insights into the causal relationships between exposures and outcomes. Several MR studies have been conducted to assess the causal effects of coffee consumption on adverse cardiometabolic outcomes (Table 1). These studies have mostly utilized genetic variants demonstrated to be associated with coffee and total caffeine consumption in several Genome Wide Association Studies (GWAS) of European, North American, and South American Populations. These include four variants near the CYP1A1/2 genes (rs2492297, rs2470893) on chromosome 15 and the AHR gene (rs4410790, rs6968865) on chromosome 7 [111, 112]. Evidence on the causal relevance of coffee consumption to T2D risk is mixed. While some MR studies have found evidence of a causal association [113], others have found no evidence [56, 114]. Results from recent MR studies have shown evidence of a causal beneficial effect of coffee consumption on kidney function using outcomes such as CKD and albuminuria [115, 116]. Mendelian randomization studies have not conclusively demonstrated a strong causal link between coffee consumption and the risk of hypertension [117], MetS [56], NAFLD [118, 119], CVD [87], specific cardiovascular outcomes such as stroke and its subtypes [87, 120, 121], HF [121, 122], and AF[121, 123] and all-cause mortality [87]. Mendelian randomization studies of coffee consumption and CHD (ischemic heart disease and coronary artery disease (CAD)) have shown no strong evidence of causal associations [87, 114, 121], except for one recent study which showed that genetically predicted coffee consumption was associated with an increased risk of CAD [124].
In summary, whiles some MR studies indicate that coffee consumption may have a protective effect against certain cardiometabolic diseases such as T2D and CKD, the evidence is less clear for other adverse cardiometabolic conditions. The overall impact of coffee on cardiometabolic health appears to be complex and influenced by various factors.
Potential pathways underlying the cardiometabolic effects of coffee consumption and its bioactive components
The beneficial effects of coffee on cardiometabolic health are multifaceted, involving a complex interplay of antioxidative, anti-inflammatory, lipid-modulating, insulin-sensitizing, and thermogenic effects (Fig. 2). These mechanisms collectively contribute to reducing the risk of a spectrum of adverse cardiometabolic outcomes, including hypertension, MetS, NAFLD, T2D, CKD, CVDs, and all-cause mortality.
Coffee is rich in numerous bioactive components that are proposed to exert these favorable cardiometabolic effects [125, 126]. Caffeine and its methylxanthine metabolites are known to modulate oxidative stress and inflammation [127], which are pathways involved in the genesis of many cardiometabolic disorders. Polyphenols such as chlorogenic acid and phytic acid also combat oxidative stress and inflammation [128], key factors in the development of CVDs and T2D.
Several polyphenols found in coffee or as metabolites of coffee compounds play significant roles in glucose homeostasis and the health complications associated with glucose dysregulation. These polyphenols include enterodiol, enterolactone, matairesinol, secoisolariciresinol, kaempferol, quercetin, and chlorogenic acid [129]. Enterodiol and enterolactone are lignans metabolized from precursors in coffee by intestinal bacteria and have been studied for their potential in modulating blood glucose levels and improving insulin sensitivity [130, 131]. Similarly, matairesinol and secoisolariciresinol contribute to these lignans’ profiles [131,132,133,134,135], enhancing their effects on metabolic health. Kaempferol and quercetin, both flavonoids, are known for their antioxidant properties, which can mitigate oxidative stress, a key contributor to the pathogenesis of diabetes and its complications [136,137,138,139,140]. These compounds can influence glucose metabolism by modulating signaling pathways involved in insulin signaling and glucose uptake in cells, thereby helping to stabilize blood glucose levels. Chlorogenic acid, one of the most abundant polyphenols in coffee, has a direct impact on glucose metabolism. It inhibits the activity of glucose-6-phosphatase [141,142,143], an enzyme involved in the release of glucose into the bloodstream, and enhances the performance of insulin, thereby improving glucose uptake in tissues. Chlorogenic acid also modulates gut hormones that regulate glucose and satiety, further aiding in glucose management [144, 145]. In particular, chlorogenic acid and trigonelline have been shown to enhance insulin sensitivity, reduce intestinal absorption of glucose, improve glucose tolerance and metabolism, inhibit gut incretin hormones, and enhance lipid metabolism [146,147,148,149,150,151,152,153,154], thereby reducing levels of glucose and lipids, consequently lowering the risk or delaying the onset of T2D, MetS, NAFLD, and CVD. The collective impact of these polyphenols on glucose homeostasis makes coffee a significant dietary component in managing and potentially preventing complications associated with glucose dysregulation such as T2D. Their mechanisms of action include anti-inflammatory effects, enhancement of insulin action, modulation of glucose transport, and overall antioxidant protection, all of which are relevant for maintaining cardiometabolic health.
Caffeine promotes lipolysis through phosphodiesterase inhibition, which increases cyclic adenosine monophosphate (cAMP) levels and activates β-adrenergic receptors, stimulating the breakdown of fats [155, 156]. Caffeine regulates fat metabolism via the sympathetic nervous system, promoting the secretion of catecholamines that activates β-adrenergic receptors and downstream pathways for lipid metabolism [156, 157]. Glycochenodeoxycholate, a metabolite of coffee consumption and a lipid involved in primary bile acid metabolism, may contribute to the favorable kidney health outcomes associated with coffee consumption [158]. Coffee is a risk source of minerals and trace elements—it has been reported that 5 cups of coffee/day contribute to approximately 26% of the daily intake of potassium, 12% of the daily intake of magnesium, 10% of the daily intake of manganese, and 15% of the daily intake of niacin [159]. Magnesium for instance may explain some of the beneficial effects of coffee intake on T2D via its positive effects on carbohydrate metabolism [160, 161]. It has been suggested that coffee consumption might reduce the risk of metabolic conditions such as T2D via stimulation of thermogenesis and induction of weight loss [162].
The evidence also suggests that caffeine is likely to be the main ingredient that contributes to the thermogenic effects of coffee, but there is limited evidence from human studies [162]; caffeine has been shown to increase thermogenesis of brown adipose tissue partly by upregulating the expression of an uncoupling protein in rodents [163]. While the acute effects of coffee can temporarily increase BP [51], long-term consumption has been linked to a neutral or beneficial effect on BP [51], potentially producing no adverse impact on hypertension and CVD. A number of proposed mechanisms for the acute BP raising effect of coffee include sympathetic overactivation, antagonism of adenosine receptors, increased norepinephrine release via direct effects on the adrenal medulla, renal effects, and activation of the renin–angiotensin system [164, 165]. Coffee consumption via caffeine potentially lowers BP through enhanced endothelium-dependent vasodilation [166]. Coffee consumption may also exert its favorable cardiometabolic effects via improvement in endothelial function and arterial stiffness [167, 168]. The consistent reduction in the risk of all-cause mortality could be due to the comprehensive effects of coffee on various aspects of cardiometabolic health, including reduced inflammation and oxidation, improved insulin sensitivity, and better lipid profiles [146]. Conversely, phenotypic and genetic evidence suggests that long-term heavy coffee consumption is associated with increased levels of lipids—LDL-C, ApoB, and total-C, with the highest lipid levels seen among participants reported drinking >6 cups/day [169]. In a meta-analysis of 14 RCTs of the effects of coffee consumption on serum lipids, drinking 6 cups/day was significantly associated with an increase in levels of total cholesterol, LDL-C, and triglycerides, but not HDL-C [170]. These results appear to be driven by trials of unfiltered or boiled coffee; furthermore, the increases in levels of serum lipids were greater in individuals with hyperlipidemia [170]. These findings were replicated in another meta-analysis of 12 RCTs [171].
Exosomes are small extracellular vesicles that play a crucial role in intercellular communication. They are involved in various physiological processes, including inflammation, immune response, and tissue repair [172]. Recent studies have highlighted their significance in cardioprotection, demonstrating that exosomes can convey protective signals to cardiac cells, thereby mitigating damage and promoting repair [173,174,175,176]. Bioactive compounds found in coffee, such as caffeine and chlorogenic acids, which have been shown to have anti-inflammatory, antioxidant, and cardioprotective effects, can influence the release and composition of exosomes [177, 178], enhancing their adaptive functions. The adaptive exosomes released in response to coffee’s bioactive compounds can carry a variety of protective molecules, including microRNAs (miRNAs), proteins, and lipids [179], which may play a critical role in mediating the protective effects of coffee on cardiovascular health and potentially other organs.
Boiled or unfiltered coffee has a rich diterpene content (namely cafestol and kahweol), which inhibits bile acid synthesis and negatively affects lipid metabolism, making it atherogenic [33, 171, 180]. On the contrary, filtered coffee does not contain diterpene and may exert antiatherogenic effects via increase in HDL-mediated cholesterol efflux from macrophages through the influence of plasma phenolic acid [33]. This unfavourable lipid profile may potentially increase the risk of cardiovascular outcomes, as observed in some studies [88, 181]. However, it has been reported that variations in CYP1A2 activity among coffee consumers rather determines the risk of CVD and not the diterpene content. The caffeine in coffee is metabolized by the polymorphic cytochrome P450 1A2 (CYP1A2) enzyme; CYP1A2 accounts for approximately 95% of caffeine metabolism. Individuals who are homozygous for the CYP1A2*1A allele are “rapid” caffeine metabolizers, whereas carriers of the variant CYP1A2*1F are “slow” caffeine metabolizers [181]. Cornelis and colleagues [181] in their study which sought to determine whether the CYP1A2 genotype modifies the association between coffee consumption and risk of acute nonfatal MI showed that coffee consumption was associated with an increased risk of nonfatal MI only among individuals with slow caffeine metabolism. When that analysis was limited to only individuals who consumed filtered coffee, the association between coffee consumption and increased risk of acute nonfatal MI remained consistent. The findings by Cornelis and colleagues [181] were, however, not replicated by Zhou and Hyppönen [88]. It has also been suggested that the conflicting associations between coffee consumption and CVD may be due to the confounding or effect-modifying effects of smoking as well as the fact that smokers metabolize caffeine more rapidly than nonsmokers due to the well-known CYP1A2-inducing effect of smoking [182]. Some studies have shown that the associations are less prominent in never smokers compared with former and current smokers, others have shown stronger associations among never and past smokers than among current smokers, and still others have shown similar associations among never, former and current smokers [82, 87, 89, 181]. These observations suggest that the pathways underlying the effects of coffee consumption on cardiovascular outcomes are more complex than originally thought. It has been reported the CYP1A2 genotype may modify the association between coffee intake and kidney disease; caffeinated coffee intake has been shown to be associated with an increase in the risk of kidney disease in slow metabolizers but not fast metabolizers [183].
Bioactive compounds in coffee, such as polyphenols, flavonoids, and alkaloids, have been shown to exert significant epigenetic effects that can contribute to cardioprotection. These compounds can influence gene expression through several mechanisms, including DNA methylation, histone modifications, and non-coding RNA (ncRNA) expression [184]. Bioactive compounds, such as chlorogenic acid and caffeic acid, have been shown to modulate DNA methylation patterns [184,185,186]. These modifications can influence the expression of genes involved in inflammatory pathways, lipid metabolism, and oxidative stress response, which are critical for maintaining cardiovascular health. Coffee components like trigonelline and kahweol have been found to induce histone modifications such as acetylation and methylation [184]. These histone modifications can activate or repress the transcription of genes involved in cellular processes that protect against cardiometabolic diseases. Compounds in coffee can alter the expression of specific ncRNAs, including miRNAs and long non-coding RNAs (lncRNAs) [187] that regulate pathways linked to inflammation, oxidative stress, endothelial function, cell proliferation, and apoptosis. The epigenetic modifications induced by coffee consumption have the potential to exert long-lasting impacts on the epigenome of vital organs, contributing to the maintenance of cardiovascular health.
While most studies have demonstrated similar associations between coffee consumption and adverse cardiometabolic outcomes in males and females, others have shown disparities, especially for the outcome of CKD [71, 76]. This potentially reflects the sex disparity in the pathogenesis of CKD. It has been suggested that sex hormones such as testosterone and sex hormone-binding globulin (SHBG) may partly account for the sex disparities in the associations; the reno-protective effect of coffee appears to be more evident in individuals with higher SHBG and lower testosterone concentrations [76].
Acrylamide is a chemical compound that forms in some foods during high-temperature cooking processes, such as roasting, frying, and baking [188]. In coffee, acrylamide is primarily formed during the roasting process. Different coffee types, such as instant coffee, espresso, and filter coffee, contain varying levels of acrylamide, with instant coffee generally having higher levels compared to espresso and filter coffee due to the differences in roasting and processing methods [189]. Acrylamide has been shown to be both neurotoxic and carcinogenic in animal studies. It has been linked to an increased risk of cancer and damage to the nervous system [190, 191]. However, human epidemiological studies have revealed a general lack of association between dietary acrylamide exposure and the incidence of cancer [188, 192]. The World Health Organization (WHO) and the Food and Agriculture Organization (FAO) have acknowledged the potential risks but also highlight the need for more research to fully understand the implications for human health [193]. From a cardiometabolic perspective, acrylamide’s effects are less clear. While there is evidence that acrylamide exposure can influence metabolic pathways and potentially contribute to adverse cardiovascular outcomes [194], the overall impact of dietary acrylamide, particularly from coffee consumption, remains inconclusive. Some studies suggest that the beneficial compounds in coffee, such as antioxidants, may counteract the potential harmful effects of acrylamide [188], but further research is needed to clarify these interactions.
Coffee consumption and its bioactive components: impacts on cellular and molecular mechanisms of aging
Coffee consumption may support longevity and healthspan through its effects on fundamental biological processes involved in aging. These include mitigating oxidative stress and inflammation, improving mitochondrial function, enhancing DNA repair, stimulating autophagy, modulating epigenetic regulation, and regulating cellular metabolic pathways. Each of these mechanisms plays a critical role in decelerating the aging process and reducing the incidence of age-related diseases [195].
Research using invertebrate models, such as Caenorhabditis elegans [196,197,198] and Drosophila melanogaster [199, 200], provided valuable insights into the potential anti-aging and lifespan-extending effects of coffee and its components. These studies highlighted fundamental biological mechanisms that might also be relevant in higher organisms, including humans. Importantly, there are studies showing that caffeine can extend lifespan in C. elegans by influencing cellular stress pathways and metabolism [201,202,203,204,205,206,207,208,209]. Of note, there are also studies showing no extension of lifespan in fruit flies reared on food containing caffeine [210]. Research also has been conducted on various coffee polyphenols like chlorogenic acid and their impact on aging in invertebrates. These studies predominantly focused on antioxidant and anti-inflammatory properties that could contribute to lifespan extension. For example, chlorogenic acid has been shown to improve stress resistance and extend lifespan in C. elegans [196,197,198] and D. melanogaster [199, 200]. Additionally, recent studies provided evidence that coffee compounds, particularly flavonoids, also promote longevity in Saccharomyces cerevisiae likely by attenuating oxidative stress [211].
Oxidative stress is also a major contributor to cellular aging and the development of age-related diseases such as cardiometabolic diseases in vertebrates including humans [212,213,214,215,216,217,218,219]. Antioxidants, such as chlorogenic acids, present in coffee can help reduce oxidative stress in the body [128, 220], thereby attenuating cellular aging processes and interfering with the pathogenesis of age-related diseases [221,222,223,224,225,226].
Nuclear factor erythroid 2–related factor 2 (Nrf2) is a critical transcription factor that plays a central role in cellular defense against oxidative stress and is an essential regulator of the cellular aging process [212, 216, 227,228,229,230,231,232]. Nrf2 regulates the expression of antioxidant proteins that protect against oxidative damage triggered by injury and inflammation, which are common contributors to the aging process. As organisms age, the efficiency of this protective response can diminish, leading to an increased buildup of oxidative damage and cellular senescence [212, 216, 228]. Importantly, chlorogenic acid, a polyphenol abundant in coffee, has been shown to positively influence the Nrf2 pathway. Research indicates that chlorogenic acid can activate Nrf2 [225], leading to an enhanced transcriptional activity of antioxidant response element (ARE)–driven genes. This activation increases the production of endogenous antioxidant enzymes such as heme oxygenase-1 (HO-1), NAD(P)H quinone oxidoreductase 1 (NQO1), and glutathione S-transferase (GST). These enzymes play pivotal roles in detoxifying reactive oxidants and thus maintaining cellular redox balance. By stimulating the Nrf2 pathway, chlorogenic acid helps fortify cellular homeostatic defense mechanisms against oxidative stressors, potentially mitigating the effects of aging and reducing the risk of age-related diseases. This mechanism underscores the therapeutic potential of dietary components like chlorogenic acid in promoting longevity and enhancing healthspan through modulation of critical aging-related biochemical pathways.
In addition to its antioxidative capabilities, caffeine and its methylxanthine metabolites possess anti-inflammatory effects [127]. Chronic inflammation is a hallmark of aging and is closely associated with the progression of many age-related diseases [195, 213, 233,234,235,236,237,238,239]. By reducing inflammation, coffee can help maintain cellular health and improve overall longevity.
Coffee has been shown to boost cellular DNA repair mechanisms [240,241,242,243,244]. Caffeine, in particular, supports the preservation of genomic integrity by enhancing the repair of DNA damage [245], which accumulates with age and contributes significantly to the aging process and the onset of age-related diseases [246]. Telomeres are protective caps on the ends of chromosomes that shorten with each cell division, and their length is an indicator of cellular aging [247] and linked to a variety of aging-related disorders, such as T2D and CVD [248, 249]. Some studies have indicated that higher coffee consumption could be associated with longer telomeres [250], suggesting a potential protective effect against accelerated aging.
Coffee contains various bioactive compounds that influence the expression and activity of sirtuin-1 (SIRT1) [251], a protein that plays a crucial role in cellular regulation, aging, and cardiometabolic health. SIRT1 is a NAD+-dependent deacetylase involved in numerous cellular processes, including DNA repair, inflammation regulation, and mitochondrial function [252]. Polyphenols such as chlorogenic acid have been shown to enhance SIRT1 expression and activity [253]. SIRT1 activation by coffee compounds contributes to longevity by improving mitochondrial function, reducing oxidative stress, maintaining cellular homeostasis, and delaying the onset of age-related diseases [254,255,256,257,258,259,260,261]. Enhanced SIRT1 activity can lower blood lipids, glucose levels, and inflammation [262, 263], thus reducing the risk of CVDs and T2D. SIRT1’s role in deacetylating key transcription factors and enzymes involved in metabolic regulation underscores its importance in maintaining cardiometabolic health.
Coffee and its constituents can stimulate autophagy [264], a process essential for removing damaged cellular components. By enhancing autophagy, coffee helps in maintaining cellular function and longevity. This process is necessary for preventing the buildup of cellular waste that can contribute to aging and related disorders [265]. Coffee influences several metabolic pathways that are linked to aging and metabolic health. It affects lipid metabolism, glucose metabolism, and insulin sensitivity [146,147,148,149,150,151], which are vital for preventing metabolic diseases, common age-related conditions. The caffeine in coffee has been shown to improve energy metabolism and increase caloric expenditure [163], which can delay the onset of metabolic decline associated with aging.
Adverse effects of coffee consumption
While coffee consumption is associated with numerous cardiometabolic health benefits, excessive intake can lead to several adverse effects. The most commonly reported negative effects are linked to its main active ingredient, caffeine, which can affect various aspects of health and well-being. Individuals vary greatly in their sensitivity to caffeine. Caffeine stimulates the nervous system causing the release of adrenaline, leading to rapid or irregular heartbeat and temporary spikes in blood pressure [266]. Some may experience jitteriness or palpitations even with small amounts of coffee. High levels of caffeine in coffee can exacerbate feelings of anxiety. Coffee can also significantly disrupt sleep patterns, leading to insomnia, particularly if consumed in the afternoon or evening. Caffeine’s stimulatory effect can delay the onset of sleep and reduce sleep quality [267,268,269,270]. Excessive coffee consumption can lead to digestive discomfort in some individuals. Coffee stimulates gastric acid production, which can exacerbate gastrointestinal conditions such as gastroesophageal reflux disease (GERD) and ulcers. It may also cause symptoms like stomach upset and exacerbate irritable bowel syndrome [271]. Rarely, excessive coffee intake can lead to rhabdomyolysis [272], a serious condition in which muscle fibers break down and enter the bloodstream, potentially leading to kidney damage.
High caffeine intake has been linked to reduced calcium absorption, which could potentially lead to bone thinning and osteoporosis. However, the evidence surrounding this association remains controversial [273, 274]. Many studies actually suggest that consumption of coffee is beneficial for bone health [275,276,277].
Regular, heavy use of caffeine can lead to physical dependence [278]. Caffeine withdrawal can trigger symptoms like headache, fatigue, irritability, and difficulty concentrating. Caffeine can cross the placental barrier during pregnancy and may cause spontaneous abortion and impaired fetal growth [279]. It is recommended that caffeine intake for women who plan to become pregnant and or who are pregnant should not exceed 300mg/day [280].
Clinical and public health implications
The findings from various studies on coffee consumption and its impact on cardiometabolic outcomes have significant clinical and public health implications. The evidence indicates that while coffee may cause short-term increases in BP, it does not adversely affect long-term BP levels or increase hypertension risk. The weak association with decreased hypertension risk suggests that coffee consumption should not be a primary concern in hypertension management. The suggestion of a reduced risk of MetS with moderate to high coffee consumption, despite limited evidence, highlights a potential area for public health intervention. Further research may validate coffee as a simple dietary intervention to mitigate MetS risk. The strong inverse association between coffee consumption and T2D risk, especially with higher consumption levels, is highly relevant for diabetes prevention strategies. Public health initiatives might consider incorporating coffee consumption as part of lifestyle modification recommendations. The protective effect of coffee against CKD, particularly at higher doses, indicates potential renal benefits of coffee consumption. This could influence dietary advice given to individuals at risk of or managing CKD. The mixed evidence regarding coffee’s impact on heart health, particularly its association with reduced stroke risk but uncertain effects on CHD, highlights the need for individualized dietary recommendations based on personal CVD risk profiles. The J-shaped relationship between coffee consumption and HF risk, with moderate intake offering the most benefit, suggests that moderate coffee consumption could be a simple, accessible measure to reduce HF risk. The mixed evidence on coffee’s impact on AF risk indicates that moderate coffee consumption is unlikely to significantly affect AF risk. This information can reassure patients and clinicians regarding coffee consumption in the context of heart rhythm disorders. The findings on cardiovascular outcomes appear to reflect recommendations in the 2021 European Society of Cardiology guidelines which indicate that coffee consumption of 3–4 cups/day may be moderately beneficial in the prevention of CVD [281]. The general association of coffee consumption with lower all-cause mortality, particularly at moderate levels, supports the inclusion of coffee in a healthy diet. This could be an important consideration in public health guidelines and dietary recommendations. The findings that inverse associations between coffee consumption and adverse cardiometabolic outcomes are generally consistent across different age groups, sexes, geographical regions, and coffee types (instant, ground, decaffeinated) carry relevant implications. These suggest that the health benefits of coffee could be broadly applicable, making coffee a universally beneficial component in dietary guidelines aimed at preventing cardiometabolic conditions. This broad applicability across demographic groups can simplify public health messages and dietary recommendations. The consistency of these health benefits across various coffee types, including decaffeinated coffee, opens the door for a wider population to benefit from coffee consumption, including individuals who are sensitive to caffeine or have specific health concerns like hypertension or anxiety disorders. Clinicians may recommend moderate coffee consumption as part of a healthy lifestyle for most individuals, regardless of their age or sex, knowing that the potential benefits are not significantly influenced by these demographic factors. Given the lack of significant variation in benefits between coffee types, the focus shifts to the quantity of consumption. The importance of considering the method of coffee preparation also needs to be taken into consideration. Boiled or unfiltered coffee, due to its high diterpene content, may pose a risk for cardiovascular health by increasing atherogenic lipids. This suggests that individuals with or at risk for CVD particularly those with dyslipidemia might need to be cautious about their choice of coffee preparation method. Filtered coffee, which lacks diterpenes, could be a healthier alternative. Its potential antiatherogenic effects may make it a more suitable option for those concerned about cardiovascular health, including individuals with a history of heart diseases or elevated lipid levels. Findings from MR studies reinforce the potential protective effects of coffee consumption against specific diseases such as T2D and CKD, highlighting the importance of inclusion of coffee consumption in these disease specific guidelines. The overall evidence suggests that moderate coffee consumption (range of 1–5 cups/day) is generally beneficial or neutral for various cardiometabolic outcomes. By potentially mitigating the risk factors associated with common age-related diseases such as cardiometabolic diseases, regular, moderate coffee consumption could be a valuable component of strategies aimed at extending the healthspan and increasing longevity. This aligns with the broader goal of not only living longer but also living healthier.
Gaps and future directions
Future research directions in the context of coffee consumption and cardiometabolic outcomes should address several critical areas. Though a number of studies incorporated repeated assessments of coffee consumption over time in their analysis, rather than relying solely on baseline data, more studies adopting this approach are needed. This approach will help minimize regression dilution bias and provide a more accurate picture of coffee consumption patterns and their long-term health impacts. However, it should be acknowledged that coffee consumption is one of the most reproducible dietary items and therefore barely changes over time [282]. For outcomes like hypertension, MetS, NAFLD, CVD, CHD, and AF, where evidence remains limited, inconsistent, and sometimes weak, further large-scale longitudinal studies are required. These studies should aim to clarify the extent of the beneficial associations of coffee consumption with these conditions. Given the variability in defining moderate coffee consumption across studies (ranging from 1 to 5 cups/day), future research should focus on establishing a more precise definition and optimal levels of coffee consumption. This involves investigating the detailed dose-response relationships to determine the optimal amount and frequency of coffee intake for maximum health benefits. Though studies generally suggest that the inverse associations of coffee consumption with adverse cardiometabolic outcomes do not vary substantially across different age groups, sexes, and coffee subtypes, the evidence is still limited and inconsistent in some instances. Future studies should explore these specific associations to understand how coffee consumption impacts diverse populations and to identify any unique effects of different types of coffee. Given the potential influence of the method of coffee preparation (boiled or unfiltered vs filtered) on lipid levels and subsequently on cardiovascular outcomes, additional research is warranted to understand the extent of the impact of diterpenes in boiled/unfiltered coffee on long-term cardiovascular health. This could also include investigating whether certain populations may be more affected by the lipid-raising effects of these coffee types. Apart from T2D and CKD, it appears observational studies showing evidence of inverse associations between coffee consumption and other adverse cardiometabolic outcomes may be confounded by diet and lifestyle factors associated with coffee consumption. These include factors such as smoking, excessive alcohol consumption, poor diet, and a sedentary lifestyle. However, it has been argued that the confounding effects of these variables would tend to bias the results toward positive and not inverse associations [66]. Larger-scale studies are needed to investigate in more detail the confounding and effect-modifying effects (restricting analysis to smokers or never smokers alone) of smoking and other lifestyle factors, which are major risk factors for these adverse cardiometabolic outcomes. A recent MR study indicated evidence that coffee consumption might be causally associated with an increased risk of CAD (CHD) [124], findings which are consistent with some observational studies [37, 79]. Given the inconsistencies and likely limitations of observational studies, additional and adequately powered MR studies are warranted to help determine if coffee consumption is a causal therapeutic target for these cardiometabolic conditions, providing a genetic perspective to the observed associations. It should be acknowledged that MR studies on coffee consumption and outcomes have major shortcomings of relying on gene loci (CYP1A1/2 and AHR gene regions) with major pleiotropic effects [283, 284]. Therefore, all MR assumptions may not hold, which may potentially yield biased causal estimates. Large-scale GWAS are needed to uncover specific genetic determinants of caffeine and coffee consumption. Understanding the biological mechanisms through which coffee exerts its effects is essential. Mechanistic studies should explore the pathways and processes by which coffee consumption influences various cardiometabolic outcomes. Such studies will not only provide scientific insights but may also lead to the development of targeted therapies and interventions. These future directions will not only deepen our understanding of the impact of coffee consumption on health but also inform public health guidelines and clinical practice, ensuring that recommendations regarding coffee consumption are grounded in robust scientific evidence.
Conclusions
The current body of evidence on coffee consumption and its relationship with various cardiometabolic outcomes presents a complex but largely positive picture. While coffee may cause short-term increases in BP, its long-term consumption does not seem to adversely affect BP and may weakly reduce hypertension risk. There is limited evidence suggesting a potential protective effect of moderate to high coffee consumption against MetS. However, these findings are not conclusive and warrant further investigation. Preliminary evidence indicates a potential dose-response relationship between coffee consumption and a reduced risk of NAFLD, though this is based on limited data. Consistent evidence suggests a dose-response protective effect of coffee consumption against T2D and CKD, with higher intake linked to greater risk reductions; these associations are also consistent with causal relationships. The impact of coffee on heart health remains a topic of ongoing research. While the evidence is mixed, especially for CHD, coffee consumption may be associated with a reduced risk of stroke. A U-shaped relationship with CVD outcomes is possible but not definitively established. Coffee consumption is generally associated with a reduced risk of HF, particularly with moderate intake (range 2–5 cups/day). However, higher consumption levels might increase this risk. The majority of evidence does not show a significant association between coffee consumption and AF risk, although a slight protective effect of moderate coffee intake cannot be entirely dismissed. Coffee consumption is generally associated with a lower risk of all-cause mortality, with a nonlinear U-shaped relationship and the largest risk reduction observed with moderate consumption (range 1–5 cups/day). The inverse associations between coffee consumption and adverse outcomes seem consistent across age, sex, geographical regions, and coffee subtypes, underscoring the broad applicability of these findings. Overall, these findings suggest that moderate coffee consumption (potentially filtered coffee) is generally safe and may offer protective benefits against several adverse cardiometabolic outcomes; it also has the potential to contribute to extending the healthspan and increasing longevity. Future research, particularly large-scale longitudinal observational, interventional, and MR studies and mechanistic investigations, are needed to further clarify these associations and understand the underlying biological mechanisms. This will aid in developing more targeted dietary recommendations regarding coffee consumption.
Data availability
This is a narrative review; no new scientific data was generated, and all data are within the paper.
References
Mills KT, Stefanescu A, He J. The global epidemiology of hypertension. Nat Rev Nephrol. 2020;16(4):223–37.
World Health Organization. Hypertension: Key Facts (2023). https://www.who.int/news-room/fact-sheets/detail/hypertension. Accessed 22 Dec 2023.
Cornier MA, Dabelea D, Hernandez TL, Lindstrom RC, Steig AJ, Stob NR, et al. The metabolic syndrome. Endocr Rev. 2008;29(7):777–822.
Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, et al. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735–52.
Sattar N, Gaw A, Scherbakova O, Ford I, O'Reilly DS, Haffner SM, et al. Metabolic syndrome with and without C-reactive protein as a predictor of coronary heart disease and diabetes in the West of Scotland Coronary Prevention Study. Circulation. 2003;108(4):414–9.
Laaksonen DE, Lakka HM, Niskanen LK, Kaplan GA, Salonen JT, Lakka TA. Metabolic syndrome and development of diabetes mellitus: application and validation of recently suggested definitions of the metabolic syndrome in a prospective cohort study. Am J Epidemiol. 2002;156(11):1070–7.
Isomaa B, Almgren P, Tuomi T, Forsen B, Lahti K, Nissen M, et al. Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care. 2001;24(4):683–9.
Lakka HM, Laaksonen DE, Lakka TA, Niskanen LK, Kumpusalo E, Tuomilehto J, et al. The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men. JAMA. 2002;288(21):2709–16.
Lidofsky SD. Nonalcoholic fatty liver disease: diagnosis and relation to metabolic syndrome and approach to treatment. Curr Diab Rep. 2008;8(1):25–30.
Zheng Y, Ley SH, Hu FB. Global aetiology and epidemiology of type 2 diabetes mellitus and its complications. Nat Rev Endocrinol. 2018;14(2):88–98.
World Health Organization. Fact sheets. The top 10 causes of death. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Retrieved on 10 Sep 2021.
Couser WG, Remuzzi G, Mendis S, Tonelli M. The contribution of chronic kidney disease to the global burden of major noncommunicable diseases. Kidney Int. 2011;80(12):1258–70.
WHO. World Health Organization. Fact sheets. The top 10 causes of death. 2020. https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death. Retrieved on 10 Sep 2021.
Lunenfeld B, Stratton P. The clinical consequences of an ageing world and preventive strategies. Best Pract Res Clin Obstet Gynaecol. 2013;27(5):643–59.
American DA. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020. Diabetes Care. 2020;43(Suppl 1):S14–31.
Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, et al. Heart Disease and Stroke Statistics-2021 Update: a report From the American Heart Association. Circulation. 2021;143(8):e254–743.
Mallamaci F, Tripepi G. Risk factors of chronic kidney disease progression: between old and new concepts. J Clin Med. 2024;13(3)
Zhou YF, Song XY, Pan XF, Feng L, Luo N, Yuan JM, et al. Association between combined lifestyle factors and healthy ageing in Chinese adults: the Singapore Chinese Health Study. J Gerontol A Biol Sci Med Sci. 2021;76(10):1796–805.
Akbar Z, Fituri S, Ouagueni A, Alalwani J, Sukik A, Al-Jayyousi GF, et al. Associations of the MIND diet with cardiometabolic diseases and their risk factors: a systematic review. Diabetes Metab Syndr Obes. 2023;16:3353–71.
Petersen KS, Flock MR, Richter CK, Mukherjea R, Slavin JL, Kris-Etherton PM. Healthy dietary patterns for preventing cardiometabolic disease: the role of plant-based foods and animal products. Curr Dev Nutr. 2017;1(12)
Widmer RJ, Flammer AJ, Lerman LO, Lerman A. The Mediterranean diet, its components, and cardiovascular disease. Am J Med. 2015;128(3):229–38.
Filippou CD, Tsioufis CP, Thomopoulos CG, Mihas CC, Dimitriadis KS, Sotiropoulou LI, et al. Dietary approaches to stop hypertension (DASH) diet and blood pressure reduction in adults with and without hypertension: a systematic review and meta-analysis of randomized controlled trials. Adv Nutr. 2020;11(5):1150–60.
Storey ML, Forshee RA, Anderson PA. Beverage consumption in the US population. J Am Diet Assoc. 2006;106(12):1992–2000.
van Dam RM, Hu FB, Willett WC. Coffee, caffeine, and health. N Engl J Med. 2020;383(4):369–78.
National Coffee Association: the history of coffee. https://www.ncausa.org/About-Coffee/History-of-Coffee Accessed 16 May 2024.
Fischer EF, Victor B, Robinson D, Farah A, Martin PR. Coffee: consumption and health implication; CHAPTER 1: Coffee Consumption and Health Impacts: A Brief History of Changing Conceptions; https://doi.org/10.1039/9781788015028;https://books.rsc.org/books/edited-volume/814/chapter/557358/Coffee-Consumption-and-Health-Impacts-A-Brief, Accessed 16 May 2024. 2019.
Afshari R. Gustav III's risk assessment on coffee consumption; a medical history report. Avicenna J Phytomed. 2017;7(2):99–100.
Weinberg BA, Bealer BK. The world of caffeine: the science and culture of the world's most popular drug. Psychology Press; 2001. p. 92.
Hughes JR, Amori G, Hatsukami DK. A survey of physician advice about caffeine. J Subst Abuse. 1988;1(1):67–70.
Robertson D, Frolich JC, Carr RK, Watson JT, Hollifield JW, Shand DG, et al. Effects of caffeine on plasma renin activity, catecholamines and blood pressure. N Engl J Med. 1978;298(4):181–6.
Dobmeyer DJ, Stine RA, Leier CV, Greenberg R, Schaal SF. The arrhythmogenic effects of caffeine in human beings. N Engl J Med. 1983;308(14):814–6.
Paul O, Lepper MH, Phelan WH, Dupertuis GW, Macmillan A, Mc KH, et al. A longitudinal study of coronary heart disease. Circulation. 1963;28:20–31.
Mendoza MF, Sulague RM, Posas-Mendoza T, Lavie CJ. Impact of coffee consumption on cardiovascular health. Ochsner J. 2023;23(2):152–8.
O'Keefe JH, DiNicolantonio JJ, Lavie CJ. Coffee for cardioprotection and longevity. Prog Cardiovasc Dis. 2018;61(1):38–42.
Chieng D, Canovas R, Segan L, Sugumar H, Voskoboinik A, Prabhu S, et al. The impact of coffee subtypes on incident cardiovascular disease, arrhythmias, and mortality: long-term outcomes from the UK Biobank. Eur J Prev Cardiol. 2022;29(17):2240–9.
Carlstrom M, Larsson SC. Coffee consumption and reduced risk of developing type 2 diabetes: a systematic review with meta-analysis. Nutr Rev. 2018;76(6):395–417.
Sofi F, Conti AA, Gori AM, Eliana Luisi ML, Casini A, Abbate R, et al. Coffee consumption and risk of coronary heart disease: a meta-analysis. Nutr Metab Cardiovasc Dis. 2007;17(3):209–23.
Park Y, Cho H, Myung SK. Effect of coffee consumption on risk of coronary heart disease in a systematic review and meta-analysis of prospective cohort studies. Am J Cardiol. 2023;186:17–29.
OCEBM Levels of Evidence Working Group. The Oxford 2011 levels of evidence. Oxford Centre for Evidence-Based Medicine. https://www.cebm.ox.ac.uk/resources/levels-of-evidence/ocebm-levels-of-evidence. Accessed 8 Oct 2020
Spiller MA. The chemical components of coffee. Prog Clin Biol Res. 1984;158:91–147.
Voskoboinik A, Koh Y, Kistler PM. Cardiovascular effects of caffeinated beverages. Trends Cardiovasc Med. 2019;29(6):345–50.
Olechno E, Puscion-Jakubik A, Zujko ME, Socha K. Influence of various factors on caffeine content in coffee brews. Foods. 2021;27:10(6).
List of coffee drinks. https://en.wikipedia.org/wiki/List_of_coffee_drinks. Accessed 2 Jan 2024.
History of the Espresso Coffee machine: from its origins to the present day. https://cellinicaffe.com/en/blogs/coffee-vibes/history-of-the-espresso-coffee-machine#:~:text=Bezzera%2C%20perhaps%20inspired%20by%20Moriondo's,granted%20on%205%20June%201902. Accessed 6 June 2024.
Expresso. https://en.wikipedia.org/wiki/Espresso. Accessed 6 Jun 2024.
Coffee Review. https://www.coffeereview.com/coffee-reference/espresso/espresso-basics/history/. Accessed 6 Jun 6 2024.
van Tol A, Urgert R, de Jong-Caesar R, van Gent T, Scheek LM, de Roos B, et al. The cholesterol-raising diterpenes from coffee beans increase serum lipid transfer protein activity levels in humans. Atherosclerosis. 1997;132(2):251–4.
Jee SH, He J, Whelton PK, Suh I, Klag MJ. The effect of chronic coffee drinking on blood pressure: a meta-analysis of controlled clinical trials. Hypertension. 1999;33(2):647–52.
Noordzij M, Uiterwaal CS, Arends LR, Kok FJ, Grobbee DE, Geleijnse JM. Blood pressure response to chronic intake of coffee and caffeine: a meta-analysis of randomized controlled trials. J Hypertens. 2005;23(5):921–8.
Ramli NNS, Alkhaldy AA, Mhd Jalil AM. Effects of caffeinated and decaffeinated coffee consumption on metabolic syndrome parameters: a systematic review and meta-analysis of data from randomised controlled trials. Medicina (Kaunas). 2021;57(9)
Mesas AE, Leon-Munoz LM, Rodriguez-Artalejo F, Lopez-Garcia E. The effect of coffee on blood pressure and cardiovascular disease in hypertensive individuals: a systematic review and meta-analysis. Am J Clin Nutr. 2011;94(4):1113–26.
Grosso G, Micek A, Godos J, Pajak A, Sciacca S, Bes-Rastrollo M, et al. Long-term coffee consumption is associated with decreased incidence of new-onset hypertension: a dose-response meta-analysis. Nutrients. 2017;9(8)
Xie C, Cui L, Zhu J, Wang K, Sun N, Sun C. Coffee consumption and risk of hypertension: a systematic review and dose-response meta-analysis of cohort studies. J Hum Hypertens. 2018;32(2):83–93.
D'Elia L, La Fata E, Galletti F, Scalfi L, Strazzullo P. Coffee consumption and risk of hypertension: a dose-response meta-analysis of prospective studies. Eur J Nutr. 2019;58(1):271–80.
Haghighatdoost F, Hajihashemi P, de Sousa Romeiro AM, Mohammadifard N, Sarrafzadegan N, de Oliveira C, et al. Coffee consumption and risk of hypertension in adults: systematic review and meta-analysis. Nutrients. 2023;15(13)
Nordestgaard AT, Thomsen M, Nordestgaard BG. Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes: a Mendelian randomization study. Int J Epidemiol. 2015;44(2):551–65.
Wong THT, Burlutsky G, Gopinath B, Flood VM, Mitchell P, Louie JCY. The longitudinal association between coffee and tea consumption and the risk of metabolic syndrome and its component conditions in an older adult population. J Nutr Sci. 2022;11:e79.
Corbi-Cobo-Losey MJ, Martinez-Gonzalez MA, Gribble AK, Fernandez-Montero A, Navarro AM, Dominguez LJ, et al. Coffee consumption and the risk of metabolic syndrome in the ‘Seguimiento Universidad de Navarra’ project. Antioxidants (Basel). 2023;12(3)
Wong THT, Wong CH, Zhang X, Zhou Y, Xu J, Yuen KC, et al. The association between coffee consumption and metabolic syndrome in adults: a systematic review and meta-analysis. Adv Nutr. 2021;12(3):708–21.
Zelber-Sagi S, Salomone F, Webb M, Lotan R, Yeshua H, Halpern Z, et al. Coffee consumption and nonalcoholic fatty liver onset: a prospective study in the general population. Transl Res. 2015;165(3):428–36.
Setiawan VW, Porcel J, Wei P, Stram DO, Noureddin N, Lu SC, et al. Coffee drinking and alcoholic and nonalcoholic fatty liver diseases and viral hepatitis in the multiethnic cohort. Clin Gastroenterol Hepatol. 2017;15(8):1305–7.
Chung HK, Nam JS, Lee MY, Kim YB, Won YS, Song WJ, et al. The increased amount of coffee consumption lowers the incidence of fatty liver disease in Korean men. Nutr Metab Cardiovasc Dis. 2020;30(10):1653–61.
Wijarnpreecha K, Thongprayoon C, Ungprasert P. Coffee consumption and risk of nonalcoholic fatty liver disease: a systematic review and meta-analysis. Eur J Gastroenterol Hepatol. 2017;29(2):e8–e12.
Chen YP, Lu FB, Hu YB, Xu LM, Zheng MH, Hu ED. A systematic review and a dose-response meta-analysis of coffee dose and nonalcoholic fatty liver disease. Clin Nutr. 2019;38(6):2552–7.
Kositamongkol C, Kanchanasurakit S, Auttamalang C, Inchai N, Kabkaew T, Kitpark S, et al. Coffee consumption and non-alcoholic fatty liver disease: an umbrella review and a systematic review and meta-analysis. Front Pharmacol. 2021;12:786596.
Salazar-Martinez E, Willett WC, Ascherio A, Manson JE, Leitzmann MF, Stampfer MJ, et al. Coffee consumption and risk for type 2 diabetes mellitus. Ann Intern Med. 2004;140(1):1–8.
Pereira MA, Parker ED, Folsom AR. Coffee consumption and risk of type 2 diabetes mellitus: an 11-year prospective study of 28 812 postmenopausal women. Arch Intern Med. 2006;166(12):1311–6.
Bhupathiraju SN, Pan A, Manson JE, Willett WC, van Dam RM, Hu FB. Changes in coffee intake and subsequent risk of type 2 diabetes: three large cohorts of US men and women. Diabetologia. 2014;57(7):1346–54.
van Dam RM, Hu FB. Coffee consumption and risk of type 2 diabetes: a systematic review. JAMA. 2005;294(1):97–104.
Ding M, Bhupathiraju SN, Chen M, van Dam RM, Hu FB. Caffeinated and decaffeinated coffee consumption and risk of type 2 diabetes: a systematic review and a dose-response meta-analysis. Diabetes Care. 2014;37(2):569–86.
Lew QJ, Jafar TH, Jin A, Yuan JM, Koh WP. Consumption of coffee but not of other caffeine-containing beverages reduces the risk of end-stage renal disease in the Singapore Chinese Health Study. J Nutr. 2018;148(8):1315–22.
Jhee JH, Nam KH, An SY, Cha MU, Lee M, Park S, et al. Effects of coffee intake on incident chronic kidney disease: a community-based prospective cohort study. Am J Med. 2018;131(12):1482–90. e3
Hu EA, Selvin E, Grams ME, Steffen LM, Coresh J, Rebholz CM. Coffee consumption and incident kidney disease: results from the Atherosclerosis Risk in Communities (ARIC) study. Am J Kidney Dis. 2018;72(2):214–22.
Srithongkul T, Ungprasert P. Coffee consumption is associated with a decreased risk of incident chronic kidney disease: a systematic review and meta-analysis of cohort studies. Eur J Intern Med. 2020;77:111–6.
Kanbay M, Siriopol D, Copur S, Tapoi L, Benchea L, Kuwabara M, et al. Effect of coffee consumption on renal outcome: a systematic review and meta-analysis of clinical studies. J Ren Nutr. 2021;31(1):5–20.
Tang L, Yang L, Chen W, Li C, Zeng Y, Yang H, et al. Sex-specific association between coffee consumption and incident chronic kidney disease: a population-based analysis of 359,906 participants from the UK Biobank. Chin Med J (Engl). 2022;135(12):1414–24.
Kleemola P, Jousilahti P, Pietinen P, Vartiainen E, Tuomilehto J. Coffee consumption and the risk of coronary heart disease and death. Arch Intern Med. 2000;160(22):3393–400.
Lopez-Garcia E, van Dam RM, Willett WC, Rimm EB, Manson JE, Stampfer MJ, et al. Coffee consumption and coronary heart disease in men and women: a prospective cohort study. Circulation. 2006;113(17):2045–53.
Grioni S, Agnoli C, Sieri S, Pala V, Ricceri F, Masala G, et al. Espresso coffee consumption and risk of coronary heart disease in a large Italian cohort. PLoS One. 2015;10(5):e0126550.
Wu JN, Ho SC, Zhou C, Ling WH, Chen WQ, Wang CL, et al. Coffee consumption and risk of coronary heart diseases: a meta-analysis of 21 prospective cohort studies. Int J Cardiol. 2009;137(3):216–25.
Mo L, Xie W, Pu X, Ouyang D. Coffee consumption and risk of myocardial infarction: a dose-response meta-analysis of observational studies. Oncotarget. 2018;9(30):21530–40.
Lopez-Garcia E, Rodriguez-Artalejo F, Rexrode KM, Logroscino G, Hu FB, van Dam RM. Coffee consumption and risk of stroke in women. Circulation. 2009;119(8):1116–23.
Zhang Y, Yang H, Li S, Li WD, Wang Y. Consumption of coffee and tea and risk of developing stroke, dementia, and poststroke dementia: a cohort study in the UK Biobank. PLoS Med. 2021;18(11):e1003830.
Larsson SC, Orsini N. Coffee consumption and risk of stroke: a dose-response meta-analysis of prospective studies. Am J Epidemiol. 2011;174(9):993–1001.
Chan L, Hong CT, Bai CH. Coffee consumption and the risk of cerebrovascular disease: a meta-analysis of prospective cohort studies. BMC Neurol. 2021;21(1):380.
Shao C, Tang H, Wang X, He J. Coffee consumption and stroke risk: evidence from a systematic review and meta-analysis of more than 2.4 million men and women. J Stroke Cerebrovasc Dis. 2021;30(1):105452.
Nordestgaard AT, Nordestgaard BG. Coffee intake, cardiovascular disease and all-cause mortality: observational and Mendelian randomization analyses in 95 000-223 000 individuals. Int J Epidemiol. 2016;45(6):1938–52.
Zhou A, Hypponen E. Long-term coffee consumption, caffeine metabolism genetics, and risk of cardiovascular disease: a prospective analysis of up to 347,077 individuals and 8368 cases. Am J Clin Nutr. 2019;109(3):509–16.
Ding M, Bhupathiraju SN, Satija A, van Dam RM, Hu FB. Long-term coffee consumption and risk of cardiovascular disease: a systematic review and a dose-response meta-analysis of prospective cohort studies. Circulation. 2014;129(6):643–59.
Grosso G, Micek A, Godos J, Sciacca S, Pajak A, Martinez-Gonzalez MA, et al. Coffee consumption and risk of all-cause, cardiovascular, and cancer mortality in smokers and non-smokers: a dose-response meta-analysis. Eur J Epidemiol. 2016;31(12):1191–205.
Kim Y, Je Y, Giovannucci E. Coffee consumption and all-cause and cause-specific mortality: a meta-analysis by potential modifiers. Eur J Epidemiol. 2019;34(8):731–52.
Teramoto M, Yamagishi K, Muraki I, Tamakoshi A, Iso H. Coffee and green tea consumption and cardiovascular disease mortality among people with and without hypertension. J Am Heart Assoc. 2023;12(2):e026477.
Mostofsky E, Rice MS, Levitan EB, Mittleman MA. Habitual coffee consumption and risk of heart failure: a dose-response meta-analysis. Circ Heart Fail. 2012;5(4):401–5.
Stevens LM, Linstead E, Hall JL, Kao DP. Association between coffee intake and incident heart failure risk: a machine learning analysis of the FHS, the ARIC study, and the CHS. Circ Heart Fail. 2021;14(2):e006799.
Han Q, Chu J, Hu W, Liu S, Sun N, Chen X, et al. Association between coffee and incident heart failure: a prospective cohort study from the UK Biobank. Nutr Metab Cardiovasc Dis. 2023;33(11):2119–27.
Cheng M, Hu Z, Lu X, Huang J, Gu D. Caffeine intake and atrial fibrillation incidence: dose response meta-analysis of prospective cohort studies. Can J Cardiol. 2014;30(4):448–54.
Krittanawong C, Tunhasiriwet A, Wang Z, Farrell AM, Chirapongsathorn S, Zhang H, et al. Is caffeine or coffee consumption a risk for new-onset atrial fibrillation? A systematic review and meta-analysis. Eur J Prev Cardiol. 2021;28(12):e13–e5.
Caldeira D, Martins C, Alves LB, Pereira H, Ferreira JJ, Costa J. Caffeine does not increase the risk of atrial fibrillation: a systematic review and meta-analysis of observational studies. Heart. 2013;99(19):1383–9.
Abdelfattah R, Kamran H, Lazar J, Kassotis J. Does caffeine consumption increase the risk of new-onset atrial fibrillation? Cardiology. 2018;140(2):106–14.
Larsson SC, Drca N, Jensen-Urstad M, Wolk A. Coffee consumption is not associated with increased risk of atrial fibrillation: results from two prospective cohorts and a meta-analysis. BMC Med. 2015;13:207.
Cao Y, Liu X, Xue Z, Yin K, Ma J, Zhu W, et al. Association of coffee consumption with atrial fibrillation risk: an updated dose-response meta-analysis of prospective studies. Front Cardiovasc Med. 2022;9:894664.
Marcus GM, Rosenthal DG, Nah G, Vittinghoff E, Fang C, Ogomori K, et al. Acute effects of coffee consumption on health among ambulatory adults. N Engl J Med. 2023;388(12):1092–100.
Malerba S, Turati F, Galeone C, Pelucchi C, Verga F, La Vecchia C, et al. A meta-analysis of prospective studies of coffee consumption and mortality for all causes, cancers and cardiovascular diseases. Eur J Epidemiol. 2013;28(7):527–39.
Je Y, Giovannucci E. Coffee consumption and total mortality: a meta-analysis of twenty prospective cohort studies. Br J Nutr. 2014;111(7):1162–73.
Crippa A, Discacciati A, Larsson SC, Wolk A, Orsini N. Coffee consumption and mortality from all causes, cardiovascular disease, and cancer: a dose-response meta-analysis. Am J Epidemiol. 2014;180(8):763–75.
Ding M, Satija A, Bhupathiraju SN, Hu Y, Sun Q, Han J, et al. Association of coffee consumption with total and cause-specific mortality in 3 large prospective cohorts. Circulation. 2015;132(24):2305–15.
Zhao Y, Wu K, Zheng J, Zuo R, Li D. Association of coffee drinking with all-cause mortality: a systematic review and meta-analysis. Public Health Nutr. 2015;18(7):1282–91.
Li Q, Liu Y, Sun X, Yin Z, Li H, Cheng C, et al. Caffeinated and decaffeinated coffee consumption and risk of all-cause mortality: a dose-response meta-analysis of cohort studies. J Hum Nutr Diet. 2019;32(3):279–87.
Shin S, Lee JE, Loftfield E, Shu XO, Abe SK, Rahman MS, et al. Coffee and tea consumption and mortality from all causes, cardiovascular disease and cancer: a pooled analysis of prospective studies from the Asia Cohort Consortium. Int J Epidemiol. 2022;51(2):626–40.
Kaeberlein M. How healthy is the healthspan concept? Geroscience. 2018;40(4):361–4.
Sulem P, Gudbjartsson DF, Geller F, Prokopenko I, Feenstra B, Aben KK, et al. Sequence variants at CYP1A1-CYP1A2 and AHR associate with coffee consumption. Hum Mol Genet. 2011;20(10):2071–7.
McMahon G, Taylor AE, Davey Smith G, Munafo MR. Phenotype refinement strengthens the association of AHR and CYP1A1 genotype with caffeine consumption. PLoS One. 2014;9(7):e103448.
Lu J, Wang Z. C-reactive protein partially mediates the inverse effect of coffee consumption on risk of type 2 diabetes: evidence from two-stage Mendelian randomization analysis. Clin Nutr. 2023;42(9):1747–8.
Kwok MK, Leung GM, Schooling CM. Habitual coffee consumption and risk of type 2 diabetes, ischemic heart disease, depression and Alzheimer's disease: a Mendelian randomization study. Sci Rep. 2016;6:36500.
Kennedy OJ, Pirastu N, Poole R, Fallowfield JA, Hayes PC, Grzeszkowiak EJ, et al. Coffee consumption and kidney function: a Mendelian randomization study. Am J Kidney Dis. 2020;75(5):753–61.
Giontella A, de La Harpe R, Cronje HT, Zagkos L, Woolf B, Larsson SC, et al. Caffeine intake, plasma caffeine level, and kidney function: a Mendelian randomization study. Nutrients. 2023;15(20)
van Oort S, Beulens JWJ, van Ballegooijen AJ, Grobbee DE, Larsson SC. Association of cardiovascular risk factors and lifestyle behaviors with hypertension: a Mendelian randomization study. Hypertension. 2020;76(6):1971–9.
Zhang Y, Liu Z, Choudhury T, Cornelis MC, Liu W. Habitual coffee intake and risk for nonalcoholic fatty liver disease: a two-sample Mendelian randomization study. Eur J Nutr. 2021;60(4):1761–7.
Yuan S, Chen J, Li X, Fan R, Arsenault B, Gill D, et al. Lifestyle and metabolic factors for nonalcoholic fatty liver disease: Mendelian randomization study. Eur J Epidemiol. 2022;37(7):723–33.
Qian Y, Ye D, Huang H, Wu DJH, Zhuang Y, Jiang X, et al. Coffee consumption and risk of stroke: a Mendelian randomization study. Ann Neurol. 2020;87(4):525–32.
Yuan S, Carter P, Mason AM, Burgess S, Larsson SC. Coffee consumption and cardiovascular diseases: a Mendelian randomization study. Nutrients. 2021;13(7)
van Oort S, Beulens JWJ, van Ballegooijen AJ, Handoko ML, Larsson SC. Modifiable lifestyle factors and heart failure: a Mendelian randomization study. Am Heart J. 2020;227:64–73.
Yuan S, Larsson SC. No association between coffee consumption and risk of atrial fibrillation: a Mendelian randomization study. Nutr Metab Cardiovasc Dis. 2019;29(11):1185–8.
Zhang Z, Wang M, Yuan S, Liu X. Coffee consumption and risk of coronary artery disease. Eur J Prev Cardiol. 2022;29(1):e29–31.
van Dam RM. Coffee and type 2 diabetes: from beans to beta-cells. Nutr Metab Cardiovasc Dis. 2006;16(1):69–77.
Natella F, Scaccini C. Role of coffee in modulation of diabetes risk. Nutr Rev. 2012;70(4):207–17.
Barcelos RP, Lima FD, Carvalho NR, Bresciani G, Royes LF. Caffeine effects on systemic metabolism, oxidative-inflammatory pathways, and exercise performance. Nutr Res. 2020;80:1–17.
Murai T, Matsuda S. The chemopreventive effects of chlorogenic acids, phenolic compounds in coffee, against inflammation, cancer, and neurological diseases. Molecules. 2023;28:–5.
Chapple B, Woodfin S, Moore W. The perfect cup? Coffee-derived polyphenols and their roles in mitigating factors affecting type 2 diabetes pathogenesis. Molecules. 2024;29(4)
Baldi S, Tristan Asensi M, Pallecchi M, Sofi F, Bartolucci G, Amedei A. Interplay between lignans and gut microbiota: nutritional, functional and methodological aspects. Molecules. 2023;28(1)
Mazur WM, Wahala K, Rasku S, Salakka A, Hase T, Adlercreutz H. Lignan and isoflavonoid concentrations in tea and coffee. Br J Nutr. 1998;79(1):37–45.
Nurmi T, Mursu J, Penalvo JL, Poulsen HE, Voutilainen S. Dietary intake and urinary excretion of lignans in Finnish men. Br J Nutr. 2010;103(5):677–85.
Angeloni S, Navarini L, Sagratini G, Torregiani E, Vittori S, Caprioli G. Development of an extraction method for the quantification of lignans in espresso coffee by using HPLC-MS/MS triple quadrupole. J Mass Spectrom. 2018;53(9):842–8.
Angeloni S, Navarini L, Khamitova G, Sagratini G, Vittori S, Caprioli G. Quantification of lignans in 30 ground coffee samples and evaluation of theirs extraction yield in espresso coffee by HPLC-MS/MS triple quadrupole. Int J Food Sci Nutr. 2020;71(2):193–200.
Angeloni S, Navarini L, Khamitova G, Maggi F, Sagratini G, Vittori S, et al. A new analytical method for the simultaneous quantification of isoflavones and lignans in 25 green coffee samples by HPLC-MS/MS. Food Chem. 2020;325:126924.
Shabir I, Kumar Pandey V, Shams R, Dar AH, Dash KK, Khan SA, et al. Promising bioactive properties of quercetin for potential food applications and health benefits: a review. Front Nutr. 2022;9:999752.
Mori N, Murphy N, Sawada N, Achaintre D, Yamaji T, Scalbert A, et al. Reproducibility and dietary correlates of plasma polyphenols in the JPHC-NEXT Protocol Area study. Eur J Clin Nutr. 2024;78(1):34–42.
Mannino G, Kunz R, Maffei ME. Discrimination of green coffee (Coffea arabica and Coffea canephora) of different geographical origin based on antioxidant activity, high-throughput metabolomics, and DNA RFLP fingerprinting. Antioxidants (Basel). 2023;12(5)
Lestari W, Hasballah K, Listiawan MY, Sofia S. Antioxidant and phytometabolite profiles of ethanolic extract from the cascara pulp of Coffea arabica collected from Gayo Highland: a study for potential anti-photoaging agent. F1000Res. 2023;12:12.
Gil-Lespinard M, Castaneda J, Almanza-Aguilera E, Gomez JH, Tjonneland A, Kyro C, et al. Dietary intake of 91 individual polyphenols and 5-year body weight change in the EPIC-PANACEA cohort. Antioxidants (Basel). 2022;11(12)
Henry-Vitrac C, Ibarra A, Roller M, Merillon JM, Vitrac X. Contribution of chlorogenic acids to the inhibition of human hepatic glucose-6-phosphatase activity in vitro by Svetol, a standardized decaffeinated green coffee extract. J Agric Food Chem. 2010;58(7):4141–4.
Bassoli BK, Cassolla P, Borba-Murad GR, Constantin J, Salgueiro-Pagadigorria CL, Bazotte RB, et al. Instant coffee extract with high chlorogenic acids content inhibits hepatic G-6-Pase in vitro, but does not reduce the glycaemia. Cell Biochem Funct. 2015;33(4):183–7.
Akash MS, Rehman K, Chen S. Effects of coffee on type 2 diabetes mellitus. Nutrition. 2014;30(7-8):755–63.
Williamson G. Protection against developing type 2 diabetes by coffee consumption: assessment of the role of chlorogenic acid and metabolites on glycaemic responses. Food Funct. 2020;11(6):4826–33.
Tunnicliffe JM, Shearer J. Coffee, glucose homeostasis, and insulin resistance: physiological mechanisms and mediators. Appl Physiol Nutr Metab. 2008;33(6):1290–300.
Rebello SA, van Dam RM. Coffee consumption and cardiovascular health: getting to the heart of the matter. Curr Cardiol Rep. 2013;15(10):403.
Sinha RA, Farah BL, Singh BK, Siddique MM, Li Y, Wu Y, et al. Caffeine stimulates hepatic lipid metabolism by the autophagy-lysosomal pathway in mice. Hepatology. 2014;59(4):1366–80.
Yeo SE, Jentjens RL, Wallis GA, Jeukendrup AE. Caffeine increases exogenous carbohydrate oxidation during exercise. J Appl Physiol (1985). 2005;99(3):844–50.
Kobayashi Y, Suzuki M, Satsu H, Arai S, Hara Y, Suzuki K, et al. Green tea polyphenols inhibit the sodium-dependent glucose transporter of intestinal epithelial cells by a competitive mechanism. J Agric Food Chem. 2000;48(11):5618–23.
Meier JJ, Hucking K, Holst JJ, Deacon CF, Schmiegel WH, Nauck MA. Reduced insulinotropic effect of gastric inhibitory polypeptide in first-degree relatives of patients with type 2 diabetes. Diabetes. 2001;50(11):2497–504.
Nauck MA, Heimesaat MM, Orskov C, Holst JJ, Ebert R, Creutzfeldt W. Preserved incretin activity of glucagon-like peptide 1 [7-36 amide] but not of synthetic human gastric inhibitory polypeptide in patients with type-2 diabetes mellitus. J Clin Invest. 1993;91(1):301–7.
Johnston KL, Clifford MN, Morgan LM. Coffee acutely modifies gastrointestinal hormone secretion and glucose tolerance in humans: glycemic effects of chlorogenic acid and caffeine. Am J Clin Nutr. 2003;78(4):728–33.
van Dijk AE, Olthof MR, Meeuse JC, Seebus E, Heine RJ, van Dam RM. Acute effects of decaffeinated coffee and the major coffee components chlorogenic acid and trigonelline on glucose tolerance. Diabetes Care. 2009;32(6):1023–5.
Yanagimoto A, Matsui Y, Yamaguchi T, Hibi M, Kobayashi S, Osaki N. Effects of ingesting both catechins and chlorogenic acids on glucose, incretin, and insulin sensitivity in healthy men: a randomized, double-blinded, placebo-controlled crossover trial. Nutrients. 2022;14(23)
Meeusen R, Roelands B, Spriet LL. Caffeine, exercise and the brain. Nestle Nutr Inst Workshop Ser. 2013;76:1–12.
Graham TE. Caffeine and exercise: metabolism, endurance and performance. Sports Med. 2001;31(11):785–807.
Acheson KJ, Gremaud G, Meirim I, Montigon F, Krebs Y, Fay LB, et al. Metabolic effects of caffeine in humans: lipid oxidation or futile cycling? Am J Clin Nutr. 2004;79(1):40–6.
He WJ, Chen J, Razavi AC, Hu EA, Grams ME, Yu B, et al. Metabolites associated with coffee consumption and incident chronic kidney disease. Clin J Am Soc Nephrol. 2021;16(11):1620–9.
Geleijnse JM. Habitual coffee consumption and blood pressure: an epidemiological perspective. Vasc Health Risk Manag. 2008;4(5):963–70.
Barbagallo M, Dominguez LJ, Galioto A, Ferlisi A, Cani C, Malfa L, et al. Role of magnesium in insulin action, diabetes and cardio-metabolic syndrome X. Mol Aspects Med. 2003;24(1-3):39–52.
Song Y, Manson JE, Buring JE, Liu S. Dietary magnesium intake in relation to plasma insulin levels and risk of type 2 diabetes in women. Diabetes Care. 2004;27(1):59–65.
Greenberg JA, Boozer CN, Geliebter A. Coffee, diabetes, and weight control. Am J Clin Nutr. 2006;84(4):682–93.
Kogure A, Sakane N, Takakura Y, Umekawa T, Yoshioka K, Nishino H, et al. Effects of caffeine on the uncoupling protein family in obese yellow KK mice. Clin Exp Pharmacol Physiol. 2002;29(5-6):391–4.
Myers MG. Effects of caffeine on blood pressure. Arch Intern Med. 1988;148(5):1189–93.
Nurminen ML, Niittynen L, Korpela R, Vapaatalo H. Coffee, caffeine and blood pressure: a critical review. Eur J Clin Nutr. 1999;53(11):831–9.
Umemura T, Ueda K, Nishioka K, Hidaka T, Takemoto H, Nakamura S, et al. Effects of acute administration of caffeine on vascular function. Am J Cardiol. 2006;98(11):1538–41.
Higashi Y. Coffee and endothelial function: a coffee paradox? Nutrients. 2019;11(9)
Del Giorno R, Scanzio S, De Napoli E, Stefanelli K, Gabutti S, Troiani C, et al. Habitual coffee and caffeinated beverages consumption is inversely associated with arterial stiffness and central and peripheral blood pressure. Int J Food Sci Nutr. 2022;73(1):106–15.
Zhou A, Hypponen E. Habitual coffee intake and plasma lipid profile: evidence from UK Biobank. Clin Nutr. 2021;40(6):4404–13.
Jee SH, He J, Appel LJ, Whelton PK, Suh I, Klag MJ. Coffee consumption and serum lipids: a meta-analysis of randomized controlled clinical trials. Am J Epidemiol. 2001;153(4):353–62.
Cai L, Ma D, Zhang Y, Liu Z, Wang P. The effect of coffee consumption on serum lipids: a meta-analysis of randomized controlled trials. Eur J Clin Nutr. 2012;66(8):872–7.
Hannafon BN, Ding WQ. Intercellular communication by exosome-derived microRNAs in cancer. Int J Mol Sci. 2013;14(7):14240–69.
Barile L, Cervio E, Lionetti V, Milano G, Ciullo A, Biemmi V, et al. Cardioprotection by cardiac progenitor cell-secreted exosomes: role of pregnancy-associated plasma protein-A. Cardiovasc Res. 2018;114(7):992–1005.
Casieri V, Matteucci M, Pasanisi EM, Papa A, Barile L, Fritsche-Danielson R, et al. Ticagrelor enhances release of anti-hypoxic cardiac progenitor cell-derived exosomes through increasing cell proliferation in vitro. Sci Rep. 2020;10(1):2494.
Carrozzo A, Casieri V, Di Silvestre D, Brambilla F, De Nitto E, Sardaro N, et al. Plasma exosomes characterization reveals a perioperative protein signature in older patients undergoing different types of on-pump cardiac surgery. Geroscience. 2021;43(2):773–89.
Pizzino F, Furini G, Casieri V, Mariani M, Bianchi G, Storti S, et al. Late plasma exosome microRNA-21-5p depicts magnitude of reverse ventricular remodeling after early surgical repair of primary mitral valve regurgitation. Front Cardiovasc Med. 2022;9:943068.
Soleti R, Andriantsitohaina R, Martinez MC. Impact of polyphenols on extracellular vesicle levels and effects and their properties as tools for drug delivery for nutrition and health. Arch Biochem Biophys. 2018;644:57–63.
Garcia-Seisdedos D, Babiy B, Lerma M, Casado ME, Martinez-Botas J, Lasuncion MA, et al. Curcumin stimulates exosome/microvesicle release in an in vitro model of intracellular lipid accumulation by increasing ceramide synthesis. Biochim Biophys Acta Mol Cell Biol Lipids. 2020;1865(5):158638.
Jahromi FNA, Dowran R, Jafari R. Recent advances in the roles of exosomal microRNAs (exomiRs) in hematologic neoplasms: pathogenesis, diagnosis, and treatment. Cell Commun Signal. 2023;21(1):88.
Svatun AL, Lochen ML, Thelle DS, Wilsgaard T. Association between espresso coffee and serum total cholesterol: the Tromso Study 2015-2016. Open Heart. 2022;9(1)
Cornelis MC, El-Sohemy A, Kabagambe EK, Campos H. Coffee, CYP1A2 genotype, and risk of myocardial infarction. JAMA. 2006;295(10):1135–41.
Kalow W, Tang BK. Caffeine as a metabolic probe: exploration of the enzyme-inducing effect of cigarette smoking. Clin Pharmacol Ther. 1991;49(1):44–8.
Mahdavi S, Palatini P, El-Sohemy A. CYP1A2 genetic variation, coffee intake, and kidney dysfunction. JAMA Netw Open. 2023;6(1):e2247868.
Ding Q, Xu YM, Lau ATY. The epigenetic effects of coffee. Molecules. 2023;28(4)
Lionetti V, Tuana BS, Casieri V, Parikh M, Pierce GN. Importance of functional food compounds in cardioprotection through action on the epigenome. Eur Heart J. 2019;40(7):575–82.
Stefanska B, Karlic H, Varga F, Fabianowska-Majewska K, Haslberger A. Epigenetic mechanisms in anti-cancer actions of bioactive food components--the implications in cancer prevention. Br J Pharmacol. 2012;167(2):279–97.
Hayakawa S, Ohishi T, Oishi Y, Isemura M, Miyoshi N. Contribution of non-coding RNAs to anticancer effects of dietary polyphenols: chlorogenic acid, curcumin, epigallocatechin-3-gallate, genistein, quercetin and resveratrol. Antioxidants (Basel). 2022;11(12)
Nehlig A, Cunha RA. The coffee-acrylamide apparent paradox: an example of why the health impact of a specific compound in a complex mixture should not be evaluated in isolation. Nutrients. 2020;12:–10.
Mojska H, Gielecinska I. Studies of acrylamide level in coffee and coffee substitutes: influence of raw material and manufacturing conditions. Rocz Panstw Zakl Hig. 2013;64(3):173–81.
Johnson KA, Gorzinski SJ, Bodner KM, Campbell RA, Wolf CH, Friedman MA, et al. Chronic toxicity and oncogenicity study on acrylamide incorporated in the drinking water of Fischer 344 rats. Toxicol Appl Pharmacol. 1986;85(2):154–68.
Friedman MA, Dulak LH, Stedham MA. A lifetime oncogenicity study in rats with acrylamide. Fundam Appl Toxicol. 1995;27(1):95–105.
Adani G, Filippini T, Wise LA, Halldorsson TI, Blaha L, Vinceti M. Dietary intake of acrylamide and risk of breast, endometrial, and ovarian cancers: a systematic review and dose-response meta-analysis. Cancer Epidemiol Biomarkers Prev. 2020;29(6):1095–106.
Health implications of acrylamide in food : report of a joint FAO/WHO consultation, WHO Headquarters, Geneva, Switzerland, 25-27 June 2002. https://hero.epa.gov/hero/index.cfm/reference/details/reference_id/324865. Accessed 6 June 2024.
Wang B, Wang X, Yu L, Liu W, Song J, Fan L, et al. Acrylamide exposure increases cardiovascular risk of general adult population probably by inducing oxidative stress, inflammation, and TGF-beta1: a prospective cohort study. Environ Int. 2022;164:107261.
Fekete M, Major D, Feher A, Fazekas-Pongor V, Lehoczki A. Geroscience and pathology: a new frontier in understanding age-related diseases. Pathol Oncol Res. 2024; https://doi.org/10.3389/pore.2024.1611623.
Zheng SQ, Huang XB, Xing TK, Ding AJ, Wu GS, Luo HR. Chlorogenic acid extends the lifespan of caenorhabditis elegans via insulin/IGF-1 signaling pathway. J Gerontol A Biol Sci Med Sci. 2017;72(4):464–72.
Siswanto FM, Sakuma R, Oguro A, Imaoka S. Chlorogenic acid activates Nrf2/SKN-1 and prolongs the lifespan of Caenorhabditis elegans via the Akt-FOXO3/DAF16a-DDB1 pathway and activation of DAF16f. J Gerontol A Biol Sci Med Sci. 2022;77(8):1503–16.
Carranza ADV, Saragusti A, Chiabrando GA, Carrari F, Asis R. Effects of chlorogenic acid on thermal stress tolerance in C. elegans via HIF-1, HSF-1 and autophagy. Phytomedicine. 2020;66:153132.
Sotibran AN, Ordaz-Tellez MG, Rodriguez-Arnaiz R. Flavonoids and oxidative stress in Drosophila melanogaster. Mutat Res. 2011;726(1):60–5.
Holvoet H, Long DM, Yang L, Choi J, Marney L, Poeck B, et al. Chlorogenic acids, acting via calcineurin, are the main compounds in centella asiatica extracts that mediate resilience to chronic stress in Drosophila melanogaster. Nutrients. 2023;15(18)
Wang Y, Xiang YF, Liu AL. Comparative and combined effects of epigallocatechin-3-gallate and caffeine in reducing lipid accumulation in Caenorhabditis elegans. Plant Foods Hum Nutr. 2022;77(2):279–85.
Sutphin GL, Bishop E, Yanos ME, Moller RM, Kaeberlein M. Caffeine extends life span, improves healthspan, and delays age-associated pathology in Caenorhabditis elegans. Longev Healthspan. 2012;1:9.
Min H, Youn E, Shim YH. Long-Term Caffeine Intake Exerts Protective Effects on Intestinal Aging by Regulating Vitellogenesis and Mitochondrial Function in an Aged Caenorhabditis Elegans Model. Nutrients. 2021;13(8)
Min H, Youn E, Kim J, Son SY, Lee CH, Shim YH. Effects of phosphoethanolamine supplementation on mitochondrial activity and lipogenesis in a caffeine ingestion Caenorhabditis elegans model. Nutrients. 2020;12(11)
Guo C, Shen W, Jin W, Jia X, Ji Z, Jinling L, et al. Effects of epigallocatechin gallate, caffeine, and their combination on fat accumulation in high-glucose diet-fed Caenorhabditis elegans. Biosci Biotechnol Biochem. 2023;87(8):898–906.
Du X, Guan Y, Huang Q, Lv M, He X, Yan L, et al. Low concentrations of caffeine and its analogs extend the lifespan of Caenorhabditis elegans by modulating IGF-1-like pathway. Front Aging Neurosci. 2018;10:211.
Brunquell J, Morris S, Snyder A, Westerheide SD. Coffee extract and caffeine enhance the heat shock response and promote proteostasis in an HSF-1-dependent manner in Caenorhabditis elegans. Cell Stress Chaperones. 2018;23(1):65–75.
Bridi JC, Barros AG, Sampaio LR, Ferreira JC, Antunes Soares FA, Romano-Silva MA. Lifespan extension induced by caffeine in Caenorhabditis elegans is partially dependent on adenosine signaling. Front Aging Neurosci. 2015;7:220.
Al-Amin M, Kawasaki I, Gong J, Shim YH. Caffeine induces the stress response and up-regulates heat shock proteins in Caenorhabditis elegans. Mol Cells. 2016;39(2):163–8.
Nikitin AG, Navitskas S, Gordon LA. Effect of varying doses of caffeine on life span of Drosophila melanogaster. J Gerontol A Biol Sci Med Sci. 2008;63(2):149–50.
Czachor J, Milek M, Galiniak S, Stepien K, Dzugan M, Molon M. Coffee extends yeast chronological lifespan through antioxidant properties. Int J Mol Sci. 2020;21(24)
Ungvari Z, Tarantini S, Nyul-Toth A, Kiss T, Yabluchanskiy A, Csipo T, et al. Nrf2 dysfunction and impaired cellular resilience to oxidative stressors in the aged vasculature: from increased cellular senescence to the pathogenesis of age-related vascular diseases. Geroscience. 2019;41(6):727–38.
Ungvari Z, Tarantini S, Donato AJ, Galvan V, Csiszar A. Mechanisms of vascular aging. Circ Res. 2018;123(7):849–67.
Tarantini S, Valcarcel-Ares NM, Yabluchanskiy A, Fulop GA, Hertelendy P, Gautam T, et al. Treatment with the mitochondrial-targeted antioxidant peptide SS-31 rescues neurovascular coupling responses and cerebrovascular endothelial function and improves cognition in aged mice. Aging Cell. 2018;17(2)
Tucsek Z, Toth P, Sosnowsk D, Gautam T, Mitschelen M, Koller A, et al. Obesity in aging exacerbates blood brain barrier disruption, neuroinflammation and oxidative stress in the mouse hippocampus: effects on expression of genes involved in beta-amyloid generation and Alzheimer’s disease. J Gerontol A Biol Sci Med Sci. 2014;69(10):1212–26.
Ungvari Z, Bailey-Downs L, Sosnowska D, Gautam T, Koncz P, Losonczy G, et al. Vascular oxidative stress in aging: a homeostatic failure due to dysregulation of Nrf2-mediated antioxidant response. Am J Physiol Heart Circ Physiol. 2011;301(2):H363–72.
Csiszar A, Labinskyy N, Jimenez R, Pinto JT, Ballabh P, Losonczy G, et al. Anti-oxidative and anti-inflammatory vasoprotective effects of caloric restriction in aging: role of circulating factors and SIRT1. Mech Ageing Dev. 2009;130(8):518–27.
Ungvari Z, Orosz Z, Labinskyy N, Rivera A, Xiangmin Z, Smith K, et al. Increased mitochondrial H2O2 production promotes endothelial NF-kappaB activation in aged rat arteries. Am J Physiol Heart Circ Physiol. 2007;293(1):H37–47.
Csiszar A, Ungvari Z, Edwards JG, Kaminski PM, Wolin MS, Koller A, et al. Aging-induced phenotypic changes and oxidative stress impair coronary arteriolar function. Circ Res. 2002;90(11):1159–66.
Kobayashi T, Maruyama T, Yoneda T, Miyai H, Azuma T, Tomofuji T, et al. Effects of coffee intake on oxidative stress during aging-related alterations in periodontal tissue. In Vivo. 2020;34(2):615–22.
Wang D, Hou J, Wan J, Yang Y, Liu S, Li X, et al. Dietary chlorogenic acid ameliorates oxidative stress and improves endothelial function in diabetic mice via Nrf2 activation. J Int Med Res. 2021;49(1):300060520985363.
Tang Y, Fang C, Shi J, Chen H, Chen X, Yao X. Antioxidant potential of chlorogenic acid in age-related eye diseases. Pharmacol Res Perspect. 2024;12(1):e1162.
Shi D, Hao Z, Qi W, Jiang F, Liu K, Shi X. Aerobic exercise combined with chlorogenic acid exerts neuroprotective effects and reverses cognitive decline in Alzheimer's disease model mice (APP/PS1) via the SIRT1/ /PGC-1alpha/PPARgamma signaling pathway. Front Aging Neurosci. 2023;15:1269952.
Li Y, Ren X, Lio C, Sun W, Lai K, Liu Y, et al. A chlorogenic acid-phospholipid complex ameliorates post-myocardial infarction inflammatory response mediated by mitochondrial reactive oxygen species in SAMP8 mice. Pharmacol Res. 2018;130:110–22.
Hada Y, Uchida HA, Otaka N, Onishi Y, Okamoto S, Nishiwaki M, et al. The protective effect of chlorogenic acid on vascular senescence via the Nrf2/HO-1 pathway. Int J Mol Sci. 2020;21(12)
Girsang E, Ginting CN, Lister INE, Gunawan KY, Widowati W. Anti-inflammatory and antiaging properties of chlorogenic acid on UV-induced fibroblast cell. PeerJ. 2021;9:e11419.
Valcarcel-Ares MN, Gautam T, Warrington JP, Bailey-Downs L, Sosnowska D, de Cabo R, et al. Disruption of Nrf2 signaling impairs angiogenic capacity of endothelial cells: implications for microvascular aging. J Gerontol A Biol Sci Med Sci. 2012;67(8):821–9.
Ungvari Z, Bailey-Downs L, Gautam T, Sosnowska D, Wang M, Monticone RE, et al. Age-associated vascular oxidative stress, Nrf2 dysfunction and NF-kB activation in the non-human primate Macaca mulatta. J Gerontol A Biol Sci Med Sci. 2011;66(8):866–75.
Tarantini S, Valcarcel-Ares MN, Yabluchanskiy A, Tucsek Z, Hertelendy P, Kiss T, et al. Nrf2 deficiency exacerbates obesity-induced oxidative stress, neurovascular dysfunction, blood brain barrier disruption, neuroinflammation, amyloidogenic gene expression and cognitive decline in mice, mimicking the aging phenotype. J Gerontol A Biol Sci Med Sci. 2018; in press
Pearson KJ, Lewis KN, Price NL, Chang JW, Perez E, Cascajo MV, et al. Nrf2 mediates cancer protection but not prolongevity induced by caloric restriction. Proc Natl Acad Sci U S A. 2008;105(7):2325–30.
Fulop GA, Kiss T, Tarantini S, Balasubramanian P, Yabluchanskiy A, Farkas E, et al. Nrf2 deficiency in aged mice exacerbates cellular senescence promoting cerebrovascular inflammation. Geroscience. 2018;40(5-6):513–21.
Ahn B, Pharaoh G, Premkumar P, Huseman K, Ranjit R, Kinter M, et al. Nrf2 deficiency exacerbates age-related contractile dysfunction and loss of skeletal muscle mass. Redox Biol. 2018;17:47–58.
Ungvari Z, Tarantini S, Sorond F, Merkely B, Csiszar A. Mechanisms of vascular aging, a geroscience perspective: JACC Focus Seminar. J Am Coll Cardiol. 2020;75(8):931–41.
Ungvari Z, Csiszar A, Kaley G. Vascular inflammation in aging. Herz. 2004;29(8):733–40.
Csiszar A, Wang M, Lakatta EG, Ungvari ZI. Inflammation and endothelial dysfunction during aging: role of NF-{kappa}B. J Appl Physiol. 2008;105(4):1333–41.
Rebelo-Marques A, De Sousa LA, Andrade R, Ribeiro CF, Mota-Pinto A, Carrilho F, et al. Aging hallmarks: the benefits of physical exercise. Front Endocrinol (Lausanne). 2018;9:258.
Garatachea N, Pareja-Galeano H, Sanchis-Gomar F, Santos-Lozano A, Fiuza-Luces C, Moran M, et al. Exercise attenuates the major hallmarks of aging. Rejuvenation Res. 2015;18(1):57–89.
Wilson DM 3rd, Cookson MR, Van Den Bosch L, Zetterberg H, Holtzman DM, Dewachter I. Hallmarks of neurodegenerative diseases. Cell. 2023;186(4):693–714.
Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153(6):1194–217.
Unno K, Taguchi K, Hase T, Meguro S, Nakamura Y. DNA mutagenicity of hydroxyhydroquinone in roasted coffee products and its suppression by chlorogenic acid, a coffee polyphenol, in oxidative-damage-sensitive SAMP8 mice. Int J Mol Sci. 2024;25(2)
Obana H, Nakamura S, Tanaka R. Suppressive effects of coffee on the SOS responses induced by UV and chemical mutagens. Mutat Res. 1986;175(2):47–50.
Majer BJ, Hofer E, Cavin C, Lhoste E, Uhl M, Glatt HR, et al. Coffee diterpenes prevent the genotoxic effects of 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP) and N-nitrosodimethylamine in a human derived liver cell line (HepG2). Food Chem Toxicol. 2005;43(3):433–41.
Huber WW, Scharf G, Nagel G, Prustomersky S, Schulte-Hermann R, Kaina B. Coffee and its chemopreventive components kahweol and cafestol increase the activity of O6-methylguanine-DNA methyltransferase in rat liver--comparison with phase II xenobiotic metabolism. Mutat Res. 2003;522(1-2):57–68.
Hori A, Kasai H, Kawai K, Nanri A, Sato M, Ohta M, et al. Coffee intake is associated with lower levels of oxidative DNA damage and decreasing body iron storage in healthy women. Nutr Cancer. 2014;66(6):964–9.
Nikitina D, Chen Z, Vallis K, Poll A, Ainsworth P, Narod SA, et al. Relationship between caffeine and levels of DNA repair and oxidative stress in women with and without a BRCA1 mutation. J Nutrigenet Nutrigenomics. 2015;8(4-6):174–84.
Schumacher B, Pothof J, Vijg J, Hoeijmakers JHJ. The central role of DNA damage in the ageing process. Nature. 2021;592(7856):695–703.
Rizvi S, Raza ST, Mahdi F. Telomere length variations in aging and age-related diseases. Curr Aging Sci. 2014;7(3):161–7.
Zhao J, Miao K, Wang H, Ding H, Wang DW. Association between telomere length and type 2 diabetes mellitus: a meta-analysis. PLoS One. 2013;8(11):e79993.
Schneider CV, Schneider KM, Teumer A, Rudolph KL, Hartmann D, Rader DJ, et al. Association of telomere length with risk of disease and mortality. JAMA Intern Med. 2022;182(3):291–300.
Tucker LA. Caffeine consumption and telomere length in men and women of the National Health and Nutrition Examination Survey (NHANES). Nutr Metab (Lond). 2017;14:10.
Goncalinho GHF, Nascimento JRO, Mioto BM, Amato RV, Moretti MA, Strunz CMC, et al. Effects of coffee on sirtuin-1, homocysteine, and cholesterol of healthy adults: does the coffee powder matter? J Clin Med. 2022;11(11)
Lee SH, Lee JH, Lee HY, Min KJ. Sirtuin signaling in cellular senescence and aging. BMB Rep. 2019;52(1):24–34.
JJ DN, MF MC, O'Keefe JH. Nutraceutical activation of Sirt1: a review. Open Heart. 2022;9(2)
Cohen HY, Miller C, Bitterman KJ, Wall NR, Hekking B, Kessler B, et al. Calorie restriction promotes mammalian cell survival by inducing the SIRT1 deacetylase. Science. 2004;305(5682):390–2.
Moroz N, Carmona JJ, Anderson E, Hart AC, Sinclair DA, Blackwell TK. Dietary restriction involves NAD(+) -dependent mechanisms and a shift toward oxidative metabolism. Aging Cell. 2014;13(6):1075–85.
Benigni A, Cassis P, Conti S, Perico L, Corna D, Cerullo D, et al. Sirt3 deficiency shortens life span and impairs cardiac mitochondrial function rescued by Opa1 gene transfer. Antioxid Redox Signal. 2019;31(17):1255–71.
Mitchell SJ, Bernier M, Aon MA, Cortassa S, Kim EY, Fang EF, et al. Nicotinamide improves aspects of healthspan, but not lifespan, in mice. Cell Metab. 2018;27(3):667–76 e4.
Bause AS, Haigis MC. SIRT3 regulation of mitochondrial oxidative stress. Exp Gerontol. 2013;48(7):634–9.
Zhou L, Pinho R, Gu Y, Radak Z. The role of SIRT3 in exercise and aging. Cells. 2022;11(16)
Kiss T, Nyul-Toth A, Balasubramanian P, Tarantini S, Ahire C, Yabluchanskiy A, et al. Nicotinamide mononucleotide (NMN) supplementation promotes neurovascular rejuvenation in aged mice: transcriptional footprint of SIRT1 activation, mitochondrial protection, anti-inflammatory, and anti-apoptotic effects. Geroscience. 2020;42(2):527–46.
Baur JA, Ungvari Z, Minor RK, Le Couteur DG, de Cabo R. Are sirtuins viable targets for improving healthspan and lifespan? Nat Rev Drug Discov. 2012;11(6):443–61.
Majeed Y, Halabi N, Madani AY, Engelke R, Bhagwat AM, Abdesselem H, et al. SIRT1 promotes lipid metabolism and mitochondrial biogenesis in adipocytes and coordinates adipogenesis by targeting key enzymatic pathways. Sci Rep. 2021;11(1):8177.
Pacifici F, Di Cola D, Pastore D, Abete P, Guadagni F, Donadel G, et al. Proposed tandem effect of physical activity and sirtuin 1 and 3 activation in regulating glucose homeostasis. Int J Mol Sci. 2019;20(19)
Li YF, Ouyang SH, Tu LF, Wang X, Yuan WL, Wang GE, et al. Caffeine protects skin from oxidative stress-induced senescence through the activation of autophagy. Theranostics. 2018;8(20):5713–30.
Madeo F, Zimmermann A, Maiuri MC, Kroemer G. Essential role for autophagy in life span extension. J Clin Invest. 2015;125(1):85–93.
Wikoff D, Welsh BT, Henderson R, Brorby GP, Britt J, Myers E, et al. Systematic review of the potential adverse effects of caffeine consumption in healthy adults, pregnant women, adolescents, and children. Food Chem Toxicol. 2017;109(Pt 1):585–648.
Roehrs T, Roth T. Caffeine: sleep and daytime sleepiness. Sleep Med Rev. 2008;12(2):153–62.
Bonnet MH, Arand DL. Caffeine use as a model of acute and chronic insomnia. Sleep. 1992;15(6):526–36.
Karacan I, Thornby JI, Anch M, Booth GH, Williams RL, Salis PJ. Dose-related sleep disturbances induced by coffee and caffeine. Clin Pharmacol Ther. 1976;20(6):682–9.
Lasagna L. Dose-related sleep disturbances induced by coffee and caffeine. Clin Pharmacol Ther. 1977;21(2):244.
Nehlig A. Effects of coffee on the gastro-intestinal tract: a narrative review and literature update. Nutrients. 2022;14(2)
Chiang WF, Liao MT, Cheng CJ, Lin SH. Rhabdomyolysis induced by excessive coffee drinking. Hum Exp Toxicol. 2014;33(8):878–81.
Ye Y, Zhong R, Xiong XM, Wang CE. Association of coffee intake with bone mineral density: a Mendelian randomization study. Front Endocrinol (Lausanne). 2024;15:1328748.
Chen CC, Shen YM, Li SB, Huang SW, Kuo YJ, Chen YP. Association of coffee and tea intake with bone mineral density and hip fracture: a meta-analysis. Medicina (Kaunas). 2023;59(6)
Xu J, Zhai T. Coffee drinking and the odds of osteopenia and osteoporosis in middle-aged and older Americans: a cross-sectional study in NHANES 2005-2014. Calcif Tissue Int. 2024;114(4):348–59.
Zeng X, Su Y, Tan A, Zou L, Zha W, Yi S, et al. The association of coffee consumption with the risk of osteoporosis and fractures: a systematic review and meta-analysis. Osteoporos Int. 2022;33(9):1871–93.
Chau YP, Au PCM, Li GHY, Sing CW, Cheng VKF, Tan KCB, et al. Serum Metabolome of coffee consumption and its association with bone mineral density: the Hong Kong Osteoporosis Study. J Clin Endocrinol Metab. 2020;105(3)
Meredith SE, Juliano LM, Hughes JR, Griffiths RR. Caffeine use disorder: a comprehensive review and research agenda. J Caffeine Res. 2013;3(3):114–30.
Higdon JV, Frei B. Coffee and health: a review of recent human research. Crit Rev Food Sci Nutr. 2006;46(2):101–23.
Bae JH, Park JH, Im SS, Song DK. Coffee and health. Integr Med Res. 2014;3(4):189–91.
Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, et al. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2021;42(34):3227–337.
Feskanich D, Rimm EB, Giovannucci EL, Colditz GA, Stampfer MJ, Litin LB, et al. Reproducibility and validity of food intake measurements from a semiquantitative food frequency questionnaire. J Am Diet Assoc. 1993;93(7):790–6.
Rodenburg EM, Eijgelsheim M, Geleijnse JM, Amin N, van Duijn CM, Hofman A, et al. CYP1A2 and coffee intake and the modifying effect of sex, age, and smoking. Am J Clin Nutr. 2012;96(1):182–7.
Gkouskou KG, Georgiopoulos G, Vlastos I, Lazou E, Chaniotis D, Papaioannou TG, et al. CYP1A2 polymorphisms modify the association of habitual coffee consumption with appetite, macronutrient intake, and body mass index: results from an observational cohort and a cross-over randomized study. Int J Obes (Lond). 2022;46(1):162–8.
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Setor K. Kunutsor: conceptualization, methodology, data curation, formal analysis, investigation, original draft, writing—review and editing. Zoltan Ungvari: methodology, data curation, formal analysis, investigation, original draft, writing—review and editing.
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Ungvari, Z., Kunutsor, S.K. Coffee consumption and cardiometabolic health: a comprehensive review of the evidence. GeroScience (2024). https://doi.org/10.1007/s11357-024-01262-5
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DOI: https://doi.org/10.1007/s11357-024-01262-5