Abstract
Aims
This subanalysis of a cross-sectional, nationwide study was undertaken to assess the relationship between healthy lifestyle behaviors and multiple cardiovascular risk factors among people with type 2 diabetes mellitus (T2DM).
Methods
Data collected from 25,454 participants, including demographics, lifestyle behaviors and cardiovascular risk profiles, were analyzed. Blood pressure control as well as blood glucose and blood lipid (3Bs) levels were measured as multi-risk factors for cardiovascular disease. Healthy lifestyle behaviors included regular exercise, nonsmoking status and no alcohol consumption. The relationship between the healthy lifestyle behavior(s) and control of 3B(s) was calculated.
Results
Of the 25,454 eligible participants, 4171 (16.4%) were current smokers, 2011 (7.9%) currently consumed alcohol, and 11,174 (43.9%) did not exercise. In total, 654 (2.6%) reported all three unhealthy lifestyle behaviors. Most participants (71.1%) had received at least a high school education and were more likely to smoke and drink as compared to those with lower education. Unhealthy lifestyle behaviors were commonly found in participants with low atherosclerosis risk, such as non-elderly people and those with an above-college education level. Unhealthy lifestyle is associated with poor 3B control and worse medication adherence.
Conclusions
Unhealthy lifestyles are common in Chinese people with T2DM, especially in people who are non-elderly and above-college educated. Interventions aimed at changing risky lifestyle behaviors are required for improved outcomes for Chinese patients with T2DM.
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Introduction
Type 2 diabetes mellitus (T2DM) is prevalent and rapidly rising in China as the population increasingly adopts a Western diet. The total number of people in China with diabetes is expected to increase to 42.3 million by 2030 [1]. The rapid growth rate in the incidence of T2DM comes at a high economic cost (loss of $448 billion from 2006 to 2015) and with many social issues, especially given the link between diabetes, hypertension and dyslipidemia with atherosclerosis and cardiovascular disease [1]. Moreover, individuals with T2DM and uncontrolled hyperglycemia, hypertension and dyslipidemia are at even a higher risk for the development of cardiovascular disease. Thus, control of blood glucose, blood pressure and blood lipids (3Bs) will have a significant impact on long-term health outcomes for T2DM patients. In the cross-sectional, nationwide 3B STUDY conducted in China, cardiovascular risk factors were evaluated in patients with T2DM. This study confirmed that achieving adequate control of cardiovascular disease risk factors in people with T2DM remains a critical challenge in China [2].
Lifestyle changes, including dietary intake and physical exercise, remain important for the management of prediabetes as well as T2DM [3]. In the Da Qing Diabetes Prevention Study that included 577 patients with impaired glucose tolerance, lifestyle interventions, such as reducing alcohol consumption, regular exercise and consuming a vegetable-rich diet, could delay the incidence of T2DM in individuals with prediabetes [4]. In addition, regular exercise was associated with greater improvements in hemoglobin A1c (HbA1c) control in people with T2DM [5]. The beneficial impact of self-directed exercise in improving HbA1c and other outcomes was confirmed in systemic review of 28 studies of T2DM patients [6]. Another study in smokers with newly diagnosed T2DM demonstrated that smoking cessation was associated with amelioration of metabolic parameters and reduced blood pressure and albuminuria [7]. Thus, lifestyle modifications are a cornerstone strategy for successful long-term outcomes in people with T2DM.
Although the impact of lifestyle behaviors on cardiovascular disease risk is well documented, there is a paucity of data on lifestyle patterns and their consequences for people with T2DM in China. The Nationwide Assessment of Cardiovascular Risk Factors: blood glucose, blood pressure and blood lipid in Chinese patients with type 2 diabetes (3B STUDY) was designed and conducted under the guidance of the China Cardiometabolic Registries (CCMR) advisory board as a cohort study series with the aim to more fully describe the epidemiology and real-world clinical outcomes of cardiovascular and metabolic diseases in China [2]. The CCMR-3B STUDY revealed that blood glucose, blood pressure and blood lipid control were associated with lower body mass index (BMI), no current smoking or drinker, and higher education in T2DM patients in China [2]. Subsequent analysis revealed that poorer metabolic control was associated with low socioeconomic status [8] and obesity [9], as well as the underuse of the ACEI/ARB in those with hypertension in albuminuria [10]. However, to the best of our knowledge, robust evidence is lacking to support the relationship between healthy lifestyle behaviors and the control of multiple risk factors in Chinese people with T2DM. Thus, in this subanalysis of the 3B STUDY, we assessed the proportion of T2DM patients in China that adopted healthy lifestyle factors and evaluated the relationship between these behaviors and multiple cardiovascular risk factors. These results may help us to draft new public health policy and generate new research hypotheses for improving the care of T2DM patients in China.
Materials and methods
Study design
This is a subanalysis of the observational, cross-sectional, multicenter, multispecialty CCMR-3B STUDY of outpatients with established T2DM according to World Health Organization (WHO) criteria [11]. A total number of 25,454 participants with T2DM aged ≥18 years were enrolled between August 2010 and March 2011 from 104 hospitals across all major geographical regions in China. The protocol of this study was approved by the Ethics Committee of Peking University People’s Hospital (Ethics Number: [2010]024). All procedures were performed in accordance with the ethical standards of the institutional research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Informed consent was obtained from all participants included in this study.
Definition of lifestyle behaviors
Smoking status was defined as follows: (1) nonsmoker, never smoked; (2) current smoker, average of at least one cigarette daily for >1 year; (3) passive smoker, exposed to smoke for >1 year through a family member colleague, or work environment; and (4) previous smoker, quit smoking for >1 year. Alcohol consumption was defined as follows: (1) no alcohol consumption, average daily alcohol consumption <25 g alcohol; (2) current alcoholic, the average daily alcohol consumption of ≥25 g alcohol for >1 year; and (3) previous alcoholic, an alcoholic who has abstained from alcohol for >1 year. Exercise was defined as follows: (1) no exercise, the absence of exercise; (2) frequent exercise, >30 min of exercise training >3 times a week; (3) pro re nata (PRN; i.e., as needed), >30 min of exercise training >1 to ≤3 times a week; (4) few exercise, >30 min of exercise training ≤1 time per week; and (5) no or less exercise, no exercise + PRN exercise + few exercise. For this study, >30 min of exercise training was the equivalent of brisk walking.
T2DM patients that were considered to have healthy lifestyle behaviors had all of the following criteria: (1) current nonsmoking status, including nonsmokers, previous smoker and passive smokers; (2) current nondrinkers, including those without alcohol consumption and previous alcoholics; and (3) frequently exercise. T2DM patients were considered to have unhealthy lifestyle behaviors if they met all of the following criteria: (1) current smoker, (2) current alcoholic, and (3) no or less exercise.
Target goals of 3Bs were defined as follows: HbA1c <77 mmol/mol (7%), blood pressure <140/80 mmHg and total cholesterol <4.5 mmol/L. These target goals are consistent with the 2013 Chinese guidelines for prediabetes prevention and treatment [12].
Data collection
Patient data were collected from medical charts and clinical examinations (i.e., anthropometry, blood pressure, blood glucose and blood lipid measurements) conducted at one outpatient visit. Face-to-face interviews were also conducted to obtain the following information: health behavior status (i.e., smoking status, alcohol consumption and exercise intensity), current medication use and personal history of hypertension and major cardiovascular diseases. Fasting serum glucose, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TG) were measured at each study site with an automated analyzer. HbA1c data were obtained within 3 months prior to the enrollment visit or at enrollment.
Statistical analysis
Continuous variables are expressed as the mean ± SD and were analyzed using Student’s t test for normally distributed data. Categorical variables were expressed as numbers (%) and analyzed using the Chi-squared and Fisher’s exact tests. HbA1c measurements were reported in IFCC units (mmol/mol) and followed by NGSP units (%). Multivariate logistic regression analysis was conducted to identify associations between dependent and independent variables. Variables with P < 0.2 in univariate analyses were included in the multivariate phase. Only variables with P < 0.1 remained in the final model after the application of a backward elimination variable selection procedure. Adjusted odds ratios with 95% confidence intervals (CIs) were reported. Statistical analyses were conducted using SAS version 9.2 (SAS Institute Inc., Cary, NC, USA). All enrolled people were identified by participant numbers in the database to ensure anonymity. All artwork was created by GraphPad Prism 5 (San Diego, CA, USA).
Results
Patient characteristics
As shown in Table 1, the mean age of the 25,454 participants with T2DM was 62.6 ± 11.9 years with a mean BMI of 24.8 ± 3.6 and waist circumference of 83.5 cm. Patients had T2DM for a mean of 8.1 ± 6.83 years, and most had good medication adherence.
Analysis of the patient characteristics by smoking, alcohol consumption or exercise status was next undertaken. As shown in Table 2, 4171 (16.4%) participants were current smokers, 2011 (7.9%) were current drinkers, and 11,174 (43.9%) did not exercise. In addition, 654 (0.3%) participants smoke, drank and did not exercise; 11,697 (45.9%) participants adopted a healthy lifestyle (i.e., no smoking/drinking and regular exercise). People currently smoking or consuming alcohol tended to be younger than the other subgroups (smoking, 56.6 ± 11.8 years vs. 63.8 ± 11.6 years, P = 0.0001; drinking, 56.2 ± 11.6 years vs. 63.1 ± 11.7 years, P < 0.001). Moreover, most of the participants currently smoking (93.2%) or consuming alcohol (96. 7%) were male. People who smoked, consumed alcohol or did not exercise tended to have a greater BMI than those who had a healthy lifestyle (all, P < 0.001; Table 2). Furthermore, participants who had received at least a high school education were more likely to smoke and drink than those with less education (smoking, 83.2% vs. 16.8%, P < 0.001; drinking, 84% vs. 16%, P < 0.001). Finally, 30.6% of people with unhealthy lifestyles had poor medication adherence as compared to only 10.1% of those with healthy lifestyles (P < 0.001).
Pharmaceutical treatment by healthy lifestyle behaviors
The pharmaceutical treatment patterns of the participants are described in Table 3. Slightly more than half of the participants (55.0%) were treated with oral hypoglycemic drugs (OHD) alone. Another 18.2% were treated with OHD in combination with insulin; and 17.5% were treated with insulin alone. Calcium channel blockers were the most commonly reported antihypertensive drugs used (24.4%), following by Ang II receptor antagonists (16.0%) and angiotensin-converting enzyme inhibitors (8.33%). In addition, 19.9% of participants received treatment with statins, and 18.44% of participants were being treated with aspirin. A greater proportion of current smokers and drinkers and those with no/less exercise used as compared to those with healthy lifestyle behaviors (all, P ≤ 0.019; Table 3).
3B control
Achievement of 3B targets (i.e., blood glucose, blood lipids and blood pressure) is shown in Fig. 1. The mean HbA1c was 83 mmol/mol (7.6%), and nearly half (44.9%) of the participants reached the recommended target goal for adequate glycemic control (HbA1c < 77 mmol/mol, or 7.0%; Supplemental Table 1). Only 35.6, 35.0 and 41.7% of participants classified as current smokers, current drinkers and those participating in no or less exercise reached this therapeutic goal, respectively, which was significantly less than those with healthy behaviors (all, P < 0.001).
The mean systolic and diastolic blood pressure (SBP and DBP, respectively) was 133 and 78.8 mmHg, respectively (Supplemental Table 1). Overall, 40.7% of participants reached the recommended target goal for adequate blood pressure control (SBP < 140 and DBP < 80 mmHg); however, only 38, 35.1 and 39.5% of current smokers, current drinkers and those participating in no or less exercise reached this therapeutic goal, respectively, which was lower than that observed in patients with healthy behaviors (all, P ≤ 0.001).
The mean total serum cholesterol was 5.0 mmol/L with 36.1% of participants reaching the recommended target goal (total cholesterol <4.5 mmol/L; Supplemental Table 1). Only 7.84% of the participants achieved the recommended target goal for adequate HbA1c, blood pressure and total cholesterol control. Moreover, a greater proportion of those with only healthy behaviors achieved the 3B(s) goals as compared to those with no healthy behaviors (42.4 vs. 33.9%, respectively, for blood pressure, P < 0.001; 49.2 vs. 30.0%, respectively, for blood glucose, P < 0.001; and 8.5 vs. 3.5%, respectively, for all 3B targets, P < 0.001).
Factors related to 3B achievement
Multivariate logistic regression analysis was next undertaken to analyze the relationship between lifestyle behaviors and reaching 3B targets after adjustment for age, gender, BMI, smoking, alcohol consumption, exercise and the diabetes duration (Fig. 2). As shown in Supplementary Table 2, current smoking, current drinking and frequent exercise were strongly negatively correlated with both achievement of the HbA1c target (current smoking, OR = 0.71, P < 0.001; current drinking, OR = 0.83, P < 0.001; and frequent exercise, OR = 1.51, P < 0.001) and achievement of all 3Bs goals (current smoking, OR = 0.72, P < 0.001; current drinking, OR = 0.73, P < 0.001; and frequent exercise, OR = 1.44, P < 0.001).
Discussion
Because few studies have analyzed lifestyle patterns and their outcomes for people with T2DM in China, this subanalysis of the 3B STUDY was performed to evaluate the proportion of T2DM patients in China that adopted healthy lifestyle factors and assess the relationship between these behaviors and multiple cardiovascular risk factors. We demonstrated that unhealthy lifestyles are common in Chinese people with T2DM. Unexpectedly, unhealthy lifestyle behaviors were commonly found in participants with low atherosclerosis risk, such as younger and middle-aged people and those with an above-college education level. Furthermore, an unhealthy lifestyle was associated with poor 3B control, and this population tended to have worse medication adherence. To the best of our knowledge, this is the first study focusing on healthy lifestyle behaviors and their impact on cardiovascular risk control in Chinese T2DM patients.
According to the WHO, worldwide the prevalence of tobacco smoking and alcohol consumption among adults is 22 and 62%, respectively, and about 23% of adults are insufficiently physically active [13]. Another study showed that the prevalence of alcohol consumption was 30.4% in people with T2DM [14]. In the USA, the smoking prevalence among people with diabetes and impaired fasting glucose was 25.7 and 24.2%, respectively, which was comparable with those without diabetes [15]. In the present study, 16.4% of participants with T2DM were current smokers, 7.9% were current drinkers, and 43.9% participants did not regularly exercise. Thus, unhealthy lifestyles are still common in Chinese people with T2DM. Our data also found that people who were non-elderly and above-college educated tended to adopt more unhealthy lifestyles, which is consistent with a previous study reporting that smoking is most prevalent among the highly educated in Mexico [16]. Furthermore, younger age, male sex and full-time work were independent factors for smoking in Taiwan [17]. The authors suggested that link between socioeconomic status and smoking was related to increases in tobacco taxes [17]. In the present study, 31.5% of current smokers and 36% of current drinkers had a college education or higher. This is particularly alarming as previous epidemiological studies and diabetes education programs have often ignored this population as poor education has been identified as a risk factor of T2DM in rural Chinese [18]. Taken together, education level may not always equate with diabetes education level.
In 2013, the Chinese guidelines for the prevention and treatment of T2DM were updated to include a change in the target SBP level from 130 to 140 mmHg, similar to the American Diabetes Association (ADA) guidelines [12, 19]. According to this guideline, all people with T2DM should be advised not to smoke or use tobacco products and should be encouraged to perform at least 150 min/week of moderate-intensity aerobic physical activity. Alcohol consumption is not recommended; and if adults with diabetes choose to drink alcohol, they should be advised to do so in moderation. Our data revealed gaps between real-world disease control patterns and clinical guidelines, especially in non-elderly and above-college-educated individuals. Youth and middle-aged people are the major targets in strategies to prevent atherosclerosis and cardiovascular events in people with T2DM. Our data strongly argue for more focus on lifestyle interventions in these populations.
As expected, our study also found that an unhealthy lifestyle (i.e., current smoking, alcohol consumption and lack or exercise) is associated with poor 3B control. Smoking is a well-known risk factor for atherosclerosis and cardiovascular disease. Smoking was also one of the strongest predictors of glycemic control in T2DM people [20]. A cross-sectional study demonstrated that the prevalence of T2DM was significantly increased after age 35 years in smokers [21]. Similarly, smoking was associated with increased T2DM risk in middle-age and elderly Chinese men [22]. Furthermore, smoking cessation predicts amelioration of microalbuminuria in people newly diagnosed with T2DM [7]. In the present study, current smoking was strongly negatively correlated with both the achievement of the HbA1c and 3B control, while passive smoking showed no correlation with 3B control.
Unlike smoking, it is generally believed that drinking alcohol is less harmful to people with T2DM, and moderate alcohol consumption is permitted in this population [23]. Light to moderate alcoholic consumption may be associated with a lower risk of T2DM [22, 24, 25]. In fact, drinking alcohol has a U-shaped relationship with metabolic syndrome and diabetes [26]. Nevertheless, a study in Japan demonstrated that excessive alcohol intake is associated with a higher risk of contracting metabolic syndrome through an increase of blood pressure and triglycerides in people with diabetes mellitus [27]. Furthermore, alcohol consumption can impair glucose counter regulation during acute insulin-induced hypoglycemia [28]. In our study, fewer people who drank excessively reached HbA1c and blood pressure goals as compared to nondrinkers, and excessive drinking was strongly negatively correlated with achievement of blood glucose, blood pressure and blood lipids goals.
Physical activity is extremely important in the management of diabetes and prediabetes. According to previous study, regular physical exercise can prevent T2DM in a high-risk population [29,30,31] and improve blood glucose control in people with T2DM [5]. Regular physical exercise was also associated with lower HbA1c in children and adolescents with T2DM [32]. Physical activity can also improve blood pressure control, lipid profiles and fitness as well as slow the decline in mobility [33,34,35]. Physically active T2DM patients also have lower cardiovascular risk and vascular health [36]. In our study, people who regularly exercised showed better achievement of HbA1c and blood pressure goals than those who infrequently exercised.
In the present study, we also found that people with unhealthy lifestyles tended to have worse medication adherence than those who adopted a healthy lifestyle. Although non-adherence is a major factor that can lead to morbidity and mortality in people with T2DM, the level of adherence to anti-diabetic medication and physical activity is not satisfactory as shown in previous studies [37,38,39]. These findings, to a certain extent, may explain why there is a relationship between unhealthy lifestyle behaviors and poor 3B control. Moreover, in our study, a higher proportion of people with unhealthy lifestyles were treated with insulin than those with healthy lifestyles. It is well known that adherence to insulin therapy is generally poor [40]. Increased provision of health education may improve medication adherence and 3B control in this population.
We also found that 98% of those with unhealthy lifestyles were male, which may be due to gender gaps between the lifestyle metrics, particularly in alcohol consumption and smoking status. Epidemiological analysis of the prevalence of alcohol consumption in China found that 16.1% of male and 2.5% of female drinkers drank at least once per day [41]. In a study conducted by the World Health Organization, 61% of men in China were reported to be current smokers compared to 4.2% of women [42]. The gender gap in smokers has been attributed to social disapproval, socioeconomic gender gaps [42], as well as influence of family and friends who smoked [43]. Given that Chinese male adults that smoke are also less likely to engage in healthy lifestyle behaviors, including a consuming healthy diet and exercise, and more likely to engage in binge drinking [44], it is possible that the engaging in one unhealthy lifestyle behavior leads to adoption of others.
Although the patient population included in the present subanalysis study was a nationally representative sample of 25,454 people from 104 hospitals across all major geographical regions in China, it is limited by its observational, cross-sectional and retrospective design. Thus, the long-term influence of health behaviors on cardiovascular outcomes could not be assessed. Furthermore, the impact of a more gender-neutral metric, including diet control, was not determined, and data related to the occupations of the participants were not collected. Thus, further longitudinal, prospective analysis will be required.
Conclusion
Unhealthy lifestyle behaviors were found to be common in Chinese people with T2DM in the CCMR-3B STUDY, especially in people who are non-elderly and highly educated. Health behaviors, such as abstaining from cigarettes and alcohol and regular exercise, improve the factors related to 3B achievement. Thus, interventions to change risky lifestyle behaviors are crucial for optimization of outcomes for Chinese patients with T2DM.
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Acknowledgements
We thank all CCMR-3B STUDY investigators for their contribution to the successful completion of the 3B STUDY.
Funding
This study was supported by an unrestricted grant offered by Merck Sharp & Dohme (China).
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The protocol of this study was approved by the Ethics Committee of Peking University People’s Hospital (Ethics Number: [2010]024). All procedures were performed in accordance with the ethical standards of the institutional research committee and with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.
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Huang, Y., Li, J., Zhu, X. et al. Relationship between healthy lifestyle behaviors and cardiovascular risk factors in Chinese patients with type 2 diabetes mellitus: a subanalysis of the CCMR-3B STUDY. Acta Diabetol 54, 569–579 (2017). https://doi.org/10.1007/s00592-017-0981-2
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Issue Date:
DOI: https://doi.org/10.1007/s00592-017-0981-2