Abstract
Although neurobiologic and genetic factors figure prominently in the development of attention deficit/hyperactivity disorder (ADHD), adverse physical health experiences and conditions encountered during childhood may also play a role. Poor health is known to impact the developing brain with potential lifelong implications for behavioral issues. In attempt to better understand the relationship between childhood physical health and the onset and presence of ADHD symptoms, we summarized international peer-reviewed articles documenting relationships between a select group of childhood diseases or health events (e.g., illnesses, injuries, syndromes) and subsequent ADHD outcomes among children ages 0–17 years. Drawing on a larger two-phase systematic review, 57 longitudinal or retrospective observational studies (1978–2021) of childhood allergies, asthma, eczema, head injury, infection, or sleep problems and later ADHD diagnosis or symptomatology were identified and subjected to meta-analysis. Significant associations were documented between childhood head injuries, infections, and sleep problems with both dichotomous and continuous measures of ADHD, and between allergies with dichotomous measures of ADHD. We did not observe significant associations between asthma or eczema with ADHD outcomes. Heterogeneity detected for multiple associations, primarily among continuously measured outcomes, underscores the potential value of future subgroup analyses and individual studies. Collectively, these findings shed light on the importance of physical health in understanding childhood ADHD. Possible etiologic links between physical health factors and ADHD are discussed, as are implications for prevention efforts by providers, systems, and communities.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Attention deficit/hyperactivity disorder (ADHD) is the most prevalent neurodevelopmental condition of childhood, with 8% of all US children ages 3–17 years estimated to have a current diagnosis (Bitsko et al., 2022). This represents a substantial portion of the population with a chronic condition characterized by impulsivity, hyperactivity, and inattentiveness often requiring specific support services and medications for comprehensive care (Wolraich et al., 2019), amounting to significant economic impact (Doshi et al., 2012). Although many individuals with ADHD can function adaptively, particularly with appropriate therapies and supports, the condition’s symptoms can present considerable challenges addressable through prevention, treatment, and support (Sonuga-Barke & Halperin, 2010; Wolraich et al., 2019).
Treatment for child and adolescent ADHD typically includes supporting positive behaviors and addressing co-morbid medical and psychological conditions, such as adolescent substance use (Wolraich et al., 2019). From a clinical standpoint, screening and management of ADHD can be both time and resource intensive, requiring familiarity with known risk factors and treatment guidelines. This is further complicated by the fact that, although children possess remarkable resilience, they are vulnerable to developmental disruptions. Attentional abilities are honed throughout childhood and are key for managing the neural processes that allow for the acquisition of skills, knowledge, and appropriate social, academic, and adaptive functions (Claussen et al., 2021; Hanania & Smith, 2010). Children with delays or deficits in these areas may experience adverse outcomes, including rejection by peers, academic challenges, and behavioral issues (Faraone et al., 2021).
The development of ADHD is likely to involve a combination of multiple environmental and genetic factors that individually may have small effects (Faraone et al., 2021), Although the heritability of ADHD is established, factors at multiple ecological levels can also affect neurodevelopmental outcomes and are likely more amenable through medical and public health intervention (Jensen, 2000; Nigg, 2018). Thus, calls have been made to better characterize plausible risk factors in order to better apportion resources that might enhance the condition’s diagnosis, prevention, and treatment (Narad et al., 2018; Quach et al., 2018; Sonuga-Barke & Halperin, 2010). One set of factors that may be relevant are health experiences and conditions during childhood, particularly as efforts to identify and manage ADHD symptoms often involve healthcare providers and systems (Wolraich et al., 2019). Certain early-life experiences that typically come to the attention of healthcare providers could be opportune for intervention to prevent direct morbidity and mortality, as well as for possible auxiliary benefits for ADHD.
The literature points to several childhood physical health factors shown to be associated with ADHD symptom onset and severity, such as injuries (Adeyemo et al., 2014; Narad et al., 2018), infectious disease (Mora et al., 2020), nutritional status (Curtis & Patel, 2008), atopic conditions such as allergies, eczema, and asthma (Cortese et al., 2018; Miyazaki et al., 2017; van der Schans et al., 2017), sleep problems (Mehta et al., 2019; Weiss et al., 2015), and healthcare-related exposures, such as corticosteroid use (Crowther et al., 2016). A firm understanding of the etiology explaining these associations remains elusive (Faraone & Larsson, 2019), with evidence to date positing that the pathogenesis of ADHD reflects the range of mechanisms through which blood oxygen, blood flow, and injury or inflammation can impact the systemic immune and neuroendocrine systems (Allred et al., 2017; Verlaet et al., 2014). Effectively, such insults could impact the central nervous system, possibly in regions governing executive function (Buske-Kirschbaum et al., 2013), motor activity (Teicher et al., 2000), or temporal information processing (Toplak et al., 2006). Individual factors are unlikely to trigger ADHD symptom onset alone, and ADHD subtypes do not necessarily correlate with consistent pathophysiologic profiles (Poelmans et al., 2011; Wallis et al., 2008).
In the absence of obvious genetic or pathophysiologic mechanisms to serve as intervention targets, focusing on potentially modifiable child health experiences with reliable associations to ADHD could represent more proximal levers for improving population health (Fagan et al., 2019; Halperin et al., 2012). Thus, the present paper provides meta-analytic results to determine whether certain child physical health factors are associated with subsequent ADHD symptoms and diagnosis.
Methods
This paper leverages a larger set of meta-analyses of potential risk factors for ADHD in childhood. The review protocol of the full set of meta-analyses, which was not previously registered, is described in Bitsko et al. (2022). The same literature search and analytic methods were followed in each paper, to allow for comparisons of results across as well as within papers. We positioned the present paper to target physical health conditions or experiences that can be encountered in utero or during childhood. Other papers report on experiences specific to pregnancy or childbirth Bitsko et al. (2022), chemical or environmental exposures Dimitrov et al. (under review), or caregiver characteristics and behaviors Claussen et al. (2022), Maher et al. (under review), Robinson et al. (2022). Here we highlight methodological details pertinent to “childhood physical health factors,” defined as health conditions, experiences, or healthcare-related exposures that occur in individuals aged 0 to 17 years. We specifically focused on factors for which literature suggests a potential association with ADHD, ultimately including the eight child physical health factors for which there was a sufficient body of published studies that met eligibility criteria: allergies, asthma, corticosteroid use, eczema, head injuries, infections, malnutrition, and sleep problems.
Our systematic review focused on non-experimental studies in which the risk factor of interest took place at least 6 months prior to assessing the ADHD outcome (i.e., longitudinal or retrospective studies). The systematic review was first conducted in 2014, using a bottom-up search approach covering terms for ADHD symptomatology or diagnosis and known or suspected risk factors, and a top-down approach including terms for ADHD symptomatology or diagnosis and terms identifying studies of risk. Search strings used in the initial bottom-up approach included terms for infection, bacteria, virus, fungus, protozoa, malnutrition, sleep, and injury; terms for allergies, asthma, eczema, and corticosteroids were identified in the top-down phase (see Bitsko et al., 2022 and Appendix 1). This process yielded 208 potentially eligible childhood physical health articles garnered from directed searches and iterative reference mining. A secondary review of titles and abstracts was then completed, excluding 144 articles. Articles were excluded if they had overlapping populations, no relevant exposure or outcome measurements, no control group, adult study sample, or reporting concurrent measurements of exposure and outcome. The remaining 64 articles then underwent full text review, further excluding 18 articles that did not contain the necessary data for the analyses. In 2021, to account for papers that had been published in the interim, we conducted a secondary follow-up search applying identical terms and criteria from the 2014 review. Papers published from 2014 to January 2021 were reviewed using the same criteria, yielding 11 additional articles for a total of 57 (Fig. 1). Several articles contained multiple eligible outcomes or study populations, resulting in 69 total effect sizes.
Only factors with at least three effect sizes from individual studies for a given ADHD outcome were included in reported analyses see Bitsko et al. (2022). Corticosteroids and malnutrition were excluded due to an insufficient number of eligible studies. Random-effects models were used to estimate weighted, pooled effect sizes accounting for the variation in effect size between studies. These calculations were conducted and presented separately for studies in which the results were reported using continuous (e.g., means and standard deviations, correlations) vs. dichotomous (e.g., raw counts, odds ratios) outcomes. Correlation coefficients (CC) were calculated for continuous statistics, and odds ratios (OR) were calculated for dichotomous statistics. Details on how articles with multiple study populations, effect sizes, or measures of the outcome were handled to ensure independence of observations in each analysis are described in Bitsko et al. (2022). Heterogeneity of effect sizes across studies was assessed using Cochran’s Q statistic (DerSimonian & Laird, 1986).
For the current meta-analysis, articles on allergies (i.e., type I hypersensitivity reactions) could have included different clinical presentations such as allergic rhinitis, conjunctivitis, or sinusitis (Mahr & Sheth, 2005). Studies on eczema also included investigations in which the alternate term, atopic dermatitis, was used. Studies on childhood infection included pediatric exposures to infectious agents in utero or postnatally. For studies on childhood head injuries, we examined two separate subsets: studies that investigated head injury experiences relative to other bodily injuries (e.g., burns) and studies that examined head injuries relative to normal, healthy controls. Head injuries refer to any mechanical or traumatic injury to a child’s head and could have included events ranging from concussions (i.e., mild traumatic brain injury) to more severe traumatic brain injuries (Haarbauer-Krupa et al., 2018). Sleep problems included any descriptions of childhood challenges with sleep duration, quality, or consistency.
Results
The 57 included studies were published from 1978 to 2021, with nearly half (47%) published since 2010. Studies represented 253,423 distinct children across 20 countries spanning Asia, Australia, Europe, and the Americas. The USA was the most commonly represented country (n = 16). The identified risk factors were allergies (n = 4), asthma (n = 6), eczema (n = 4), infections (n = 11), head injuries (n = 20), and sleep problems (n = 18). Notably, three studies contained effect sizes for multiple factors; these investigations assessed allergy and eczema with either asthma or childhood infections. We depict study characteristics in Table 1, and forest plots with effect sizes and 95% confidence intervals (CIs) in Appendix 2.
Effect sizes (ORs and CCs) from random-effects models with heterogeneity findings are described below and in Table 2. For six risk factors, we had sufficient studies to calculate weighted effect sizes when examining any ADHD outcomes (i.e., across studies that used diagnosis, inattention, or hyperactivity/impulsivity, from here on referred to as ADHD overall). There were fewer factors with the requisite number of studies to examine risk based on ADHD diagnosis (two factors), inattention (two factors), or hyperactivity/impulsivity (four factors) as a separate set. The strength of association between factors and continuous ADHD outcomes ranged from 0.12 (95% CI: 0.06, 0.18; sleep with ADHD overall) to 0.36 (95% CI: 0.25, 0.47; head injuries relative to normal controls with ADHD overall). For dichotomous outcomes, significant effect sizes ranged from 1.67 (95% CI: 1.23, 2.27; head injuries relative to other injuries with ADHD diagnosis) to 3.25 (95% CI: 1.61, 6.53; infections with ADHD overall).
Results by Factor
Several factors typically described as atopic conditions were examined in the current analysis, specifically allergies, eczema, and asthma. Drawing on four eligible studies with dichotomously reported results, childhood allergies were associated with greater odds for subsequent ADHD overall (capturing both symptoms and diagnoses; OR: 1.71, 95% CI: 1.24, 2.37), with no significant heterogeneity detected. We did not observe a statistically significant pooled measure of association between asthma and ADHD within the seven studies with sufficient data, whether defined by dichotomous effect sizes of ADHD overall (k = 4), continuous effect sizes of ADHD overall (k = 3), or continuous effect sizes for hyperactivity/impulsivity symptoms (k = 3). However, for asthma, significant heterogeneity was observed among continuously reported effect sizes in the ADHD overall and hyperactivity/impulsivity analyses. There was no statistically significant association between eczema or atopic dermatitis and dichotomous ADHD overall (k = 4), nor was there significant heterogeneity. Forest plots of effect sizes are found in the supplemental materials.
Among investigations on childhood infections, eligible studies demonstrated that infection was associated with greater odds for ADHD overall measured dichotomously (k = 9; OR: 3.25, 95% CI: 1.61, 6.53). The association of infections and dichotomous effect sizes for ADHD diagnosis (k = 4) and hyperactivity/impulsivity symptoms (k = 3) did not reach statistical significance. Studies reporting continuous effect sizes evidenced positive associations between childhood infections and later ADHD overall (k = 4; CC: 0.16, 95% CI: 0.06, 0.26). Of note, all infection and ADHD risk factor analyses demonstrated significant heterogeneity except for the dichotomous ADHD diagnosis effect size analysis.
For head injuries, 20 studies were assessed, the most studies for any of the risk factors we evaluated. Studies comparing head injuries to other injuries evidenced significantly higher odds for ADHD, whether defined based on ADHD overall (k = 10; OR: 1.89, 95% CI: 1.35, 2.67) or diagnosis (k = 7; OR: 1.67, 95% CI: 1.23, 2.27). Head injuries were also positively associated with continuous effect sizes for ADHD, for ADHD overall (k = 13; CC: 0.27, 95% CI: 0.13, 0.41), inattention symptoms (k = 9; CC: 0.31, 95% CI: 0.11, 0.51), and hyperactive/impulsive symptoms (k = 5; CC: 0.21, 95% CI: 0.11, 0.31). Similarly, for the studies comparing head injuries to normal controls, head injury was significantly associated with all dichotomous and continuous effect sizes we were able to examine. Greater summary odd ratios for ADHD overall (k = 8; OR: 2.13, 95% CI: 1.40, 3.25) and ADHD diagnosis (k = 5; OR: 1.96, 95% CI: 1.26, 3.05) were estimated for children with head injuries in comparison to healthy counterparts. Statistically significant unit increases in continuous effect sizes for ADHD overall (k = 10; CC: 0.36, 95% CI: 0.25, 0.47), inattentive symptoms (k = 7; CC: 0.32, 95% CI: 0.11, 0.53), and hyperactive/impulsive symptoms (k = 4; CC: 0.29, 95% CI: 0.13, 0.45) were also observed. For both sets of head injury studies, we detected significant heterogeneity for the studies on dichotomous and continuous ADHD overall and inattentive symptoms. For this risk factor, there were four studies that used cognitive tests of attentional abilities as the outcome, rather than more conventional indicators of ADHD symptomology. As a test of robustness of our results, we also calculated effects sizes for the continuous overall and continuous inattention symptoms analyses without those four studies (Anderson et al., 1998, 2005; Babikian et al., 2011; Catroppa et al., 2007). The pattern of results did not change. Absent those four studies, head injuries were positively associated with continuous effect sizes for ADHD overall and for inattention symptoms (data not shown).
Sleep problems were associated significantly with ADHD overall, inclusive of dichotomous (k = 12; OR: 2.50, 95% CI: 1.67, 3.75) and continuous (k = 7; CC: 0.12, 95% CI: 0.06, 0.18) effect sizes. Experiencing issues with sleep duration or quality was associated with greater odds for later inattentive (k = 5; OR: 2.92, 95% CI: 1.40, 6.09) and hyperactive/impulsive (k = 5; OR: 2.50, 95% CI: 1.41, 4.42) symptoms. Among these studies on sleep, only the subset of continuous effect sizes of ADHD overall was found to have significant heterogeneity.
Discussion
This meta-analytic review provides a systematic assessment of select child physical health factors and their longitudinal association with ADHD, reflecting international, primary evidence across 43 years. Statistically significant pooled estimates with at least one measure of ADHD were observed for allergies, infections, head injuries, and sleep problems, suggesting that these health experiences may be ADHD risk factors. The findings address gaps in the literature by focusing only on studies where risk factors precede diagnosis or symptom onset, although this paper does not address, nor disprove, the possibility that risk factor-ADHD relationships also operate in the opposite direction. Possible mechanisms, discussed further below, include factors that are causal contributors to ADHD, are coincident outcomes with ADHD from a separate underlying factor, increase the likelihood of symptom or diagnosis identification, or lead to other exposures or experiences that increase ADHD risk. This review points to varied opportunities for tailored environmental or medical intervention and prevention efforts that can address these risks.
We found that when aggregating across available ADHD outcomes (i.e., ADHD overall), allergies, infections, head injuries (examined against both other injuries and healthy controls), and sleep problems were significantly associated with later ADHD. For risk factors with sufficient studies to examine more narrowly defined ADHD outcomes, head injury (both subsets) was the only factor significantly correlated with subsequent ADHD diagnosis. For inattentive and hyperactive/impulsive symptoms, head injury (both subsets) and sleep problems emerged as significantly and positively associated. Notably, effect sizes of larger magnitude were observed for head injuries, infections, and sleep problems compared to other factors. For example, sleep problems were associated with almost 3 times the odds of later inattention symptoms. For head injuries and sleep problems, significant effect sizes held for outcomes irrespective of the way ADHD was measured (diagnosis, by inattentive or hyperactive/impulsive symptom, or overall; Table 2). These patterns may imply that particular attention could be accorded to these risk factors by researchers, clinicians, and systems. On balance, this finding may reflect greater quantity of study invested in these areas, potentially yielding larger samples factoring into effect size calculations.
Overall, findings exhibit consistency with research showing that ADHD is associated with a range of child health experiences (Cortese et al., 2018; Mehta et al., 2019; Miyazaki et al., 2017). Twin studies make clear that the development of ADHD has substantial genetic roots, but its etiology likely reflects a multifactorial interaction between genetic and environmental factors that impact the condition’s ultimate expression (Demontis et al., 2019; Faraone & Larsson, 2019). Although researchers have proposed that advances in epigenetics will pave new insights for primary and secondary prevention (Faraone & Larsson, 2019; Nigg, 2018; Wallis et al., 2008), efforts to identify common genetic markers for ADHD remain nascent (Demontis et al., 2019). While we await progress in that area, our findings support the general notion in previous literature that injuries, insults, and inflammation affecting the developing brain can result in lasting functional consequences for behavior and attention (Dutil et al., 2018; Faraone et al., 2021; Leffa et al., 2019). Whether such impacts represent moderators between intrinsic neurophysiologic or genetic susceptibility and ADHD severity, or direct influences on the brain’s development, requires further inspection and may vary by risk factor (Halperin et al., 2012; Nigg, 2018). Below we explore findings by factor along with plausible mechanisms, sources of heterogeneity, and linkages to intervention.
Interpretation by Factor
Allergies, Asthma, and Eczema
We identified studies focusing individually on allergies, asthma, and eczema, as well as several that examined these factors in tandem (Suwan et al., 2011; Tsai et al., 2013b), in line with these conditions often being classified together as atopic diseases. Childhood allergies were associated with higher odds for ADHD overall, based on studies that varied in methodology such as binary determinations of allergy presence via medical record or diagnostic code documentation (Hak et al., 2013; Tsai et al., 2013b), positive skin prick tests for particular allergens (Suwan et al., 2011), or parent report of child diagnosis (Tsai et al., 2013a). In contrast, studies on eczema and asthma did not reveal significant associations with later ADHD outcomes. Generally, these findings partially echo previous hypotheses that pro-inflammatory mechanisms, particularly histamine-driven pathways at play in atopic diseases, could play a role in the etiology of ADHD (Miyazaki et al., 2017; Pelsser et al., 2009). Inflammatory processes may contribute to excess oxidative stress that supersedes individuals’ ability to mount antioxidant defenses (Joseph et al., 2015).
Our findings contrast some prior research on allergic rhinitis (Schmitt et al., 2010), asthma (Chen et al., 2014; Cortese et al., 2018; Joseph et al., 2015; Mogensen et al., 2011; Schmitt et al., 2010), and eczema (Schmitt et al., 2010), which may reflect study design and measurement characteristics or the complex gene-environment interactions of atopic conditions (Nieto et al., 2014). Specifically, some of the previous studies focused on associations rather than focusing analyses on the direction of the association with atopic diseases as risk factors for ADHD (Cortese et al., 2018; Schmitt et al., 2010), whereas Chen et al. (2014) examined atopic disease as a single outcome rather than for specific conditions. As such, a classic public health approach to risk factor avoidance can be difficult to apply for atopic diseases. Children who have insufficient exposure to allergenic stimuli as well as those with excessive exposures both bear risk for atopic disease (Hamelmann et al., 2008; Tulic et al., 2011), and atopy often waxes and wanes over the developmental course. It may be that an epidemiologic nadir exists between over- and under-exposure to allergens for optimal population health, inclusive of ADHD (Hamelmann et al., 2008). Modification of indoor environmental agents, such as tobacco smoke, may help limit allergic sensitization and asthma, although the strength of evidence on how particular exposures correlate with atopic manifestations has been heterogeneous (Kanchongkittiphon et al., 2015; Nieto et al., 2014). Similarly, dietary modification has been proposed as an approach to influence behavioral issues in some children through limiting potential hypersensitivity mechanisms, though evidence is mixed (Verlaet et al., 2014), and there is more evidence for a negative impact of generally unhealthy diets than specific foods (Faraone et al., 2021). Additional research would help clarify when, for whom, and at what level atopic disease prevention could benefit ADHD-related processes.
Infections
Findings on childhood infections were mixed, and significant heterogeneity was found for multiple analyses. Although we opted to combine studies into this broad category in order to inform public health actions, we recognize that bacterial, viral, and other microbial agents exert their effects through a range of molecular or pathophysiologic pathways (see Jensen, 2000; Mora et al., 2020; Verlaet et al., 2014). In the current review, definitions for infection ranged from reports of symptoms or syndromes (viral exanthems, otitis media, dental caries) to speciated bacterial or viral infections (streptococcus, pneumococcus, enterovirus). Aggregating studies with diverse means of classifying infection (e.g., caregiver report, infectious processes determined based on laboratory data) may have contributed to mixed findings.
Another possible explanation is that the mechanisms linking microbial infection to ADHD symptoms may primarily be driven by insults to the developing brain, particularly dopaminergic and neurotransmitter systems (Akaltun et al., 2019; Millichap, 2008); thus, infections that do not interact with the nervous system may not be expected to evidence these associations. Further, we could not systematically evaluate the extent (i.e., local vs. systemic), developmental phase, nor length of the infection which would have implications for the likelihood of nervous system involvement and impairment. Because infections represent one of the most common experiences of childhood (Weintraub, 2015), future research can delineate this further with attention to the timing, course, and pathogenic/immunologic profile of particular infections. Early prevention and treatment of infections, particularly those with established neurophysiologic mechanisms (e.g., group A streptococcal infection; Mora et al., 2020), could improve child health outcomes, but subgroup effects on ADHD remain to be fully understood.
Head Injuries
Across all outcomes examined and regardless of control group used, our meta-analysis revealed that earlier head injury was associated with later markers of ADHD. Coupled with research that has helped elucidate temporality of the association (Adeyemo et al., 2014; Asarnow et al., 2021; Biederman et al., 2015), our findings lend support to the hypothesis that such traumas lead to subsequent ADHD. Given that longitudinal studies have helped establish that children who have ADHD are prone to accidents or injuries (Biederman et al., 2015; Liou et al., 2018), as well as experience more severe impairment when they do sustain head injuries (Bonfield et al., 2013; Levin et al., 2007), head injuries and ADHD may operate in a bidirectional manner. We also address the concern raised in previous work that comparing children’s head injuries to those with other injuries may over-estimate the true relationship strength (Biederman et al., 2015), as we observed a significant association even among the subset of studies relying on normal controls.
Head injury studies employed a range of means for operationalizing the presence of traumatic head injuries, including medical diagnoses (e.g., Catroppa et al., 2007), parent report (e.g., Hawley et al., 2004), and medical record documentation (e.g., Max et al., 2004). However, further details such as injury severity (e.g., concussion vs. severe TBI), determination methods (e.g., clinical diagnosis vs. brain imaging), or anatomic location were typically not available. Such features may explain heterogeneity observed, particularly among continuous effect sizes, and their inclusion in future work could add insights to research and practice. For example, impairments to the brain’s prefrontal cortex have been implicated in both ADHD and traumatic brain injuries (Levin et al., 2007), and prevention efforts might benefit from enhanced understanding of the circumstances surrounding these traumas. For now, interventions at multiple socio-ecological levels including concussion education, school return-to-play policies, and state car seat laws are being implemented and tested (Yang et al., 2017), and may be reasonable actions to address the immediate and long-term neurodevelopmental morbidity related to such events.
Sleep Problems
We found consistent associations between sleep difficulties and all outcomes examined, building upon a body of correlational and experimental studies showing how sleep affects executive function. This research highlights the complex interplay between sleep and ADHD, suggesting that sleep issues and ADHD may emerge jointly from common neurobiological pathways (e.g., melatonin and dopamine metabolism), influence one another bidirectionally, or a combination thereof (Mehta et al., 2019; Weiss et al., 2015). For example, poor arousal regulation due to ADHD may lead both to daytime inattention and hyperactivity and also present difficulties for sleep–wake cycles (Touchette et al., 2007; Weiss et al., 2015).
There is some difficulty in inferring directionality or mechanisms of the relationship, as the 18 studies in this category examined sleep irregularities in varying ways (e.g., sleep disordered breathing, disruptive sleep patterns, daytime sleepiness). These problems may reflect anatomic, psychosocial (e.g., irregular bedtime), or neurologic differences between children and yield behavioral difficulties through mechanisms such as hypoxemia (Bonuck et al., 2012; Mehta et al., 2019). As above, they may also contribute to the heterogeneity observed in this category for continuous ADHD overall. Future analyses could pinpoint the effect of different types of sleep issues, the influence of which may also vary over the course of development (Huhdanpää et al., 2019). Interventions could target specific problems, such as surgical approaches for sleep disordered breathing (Chervin et al., 2005), as well as behavioral approaches for disruptive sleep patterns or short sleep durations (Rigney et al., 2018). These approaches are part of evidenced-based behavior therapy for ADHD including parent training (Wolraich et al., 2019) and providing access may address sleep as well as overall functioning.
Implications for Providers and Systems
This paper provides insight into the importance of children’s physical health for later ADHD symptoms, with distinct relevance for healthcare providers and systems. Clinicians serving children who have experienced allergies, head injuries, infections, or sleep problems can consider monitoring for inattentive, impulsive, or hyperactive symptoms (Claussen et al., 2021; Cortese et al., 2018; Millichap, 2008). Providers could help distinguish whether behavioral symptoms reflect the emergence of primary ADHD or possible reactions to underlying chronic disease or stress (Meldrum et al., 2012; Pliszka and American Academy of Child and Adolescent Psychiatry [AACAP] Workgroup on Quality Issues, 2007). Such an approach may promote more timely ADHD evaluation, diagnosis, and intervention for a subset of children who may otherwise be missed. It may also be reasonable for families of children with ADHD or who exhibit its core symptoms to be advised about the conditions identified herein, particularly in light of other studies documenting bidirectional risk factor-ADHD associations (Liou et al., 2018; Quach et al., 2018). Providers can consider evaluating for and addressing co-occurring conditions that might elicit or aggravate difficulties with attention or self-regulation as part of their ADHD management and counseling (Wolraich et al., 2019). Pediatric integrated behavioral health models represent one path for attending to both the medical and psychological service needs of affected children (Brundage et al., 2021; So et al., 2019).
At the public health level, findings suggest that efforts by health, education, and social service systems to assess for, and support children with, ADHD could benefit from knowledge about their health history (Pliszka and AACAP Work Group on Quality Issues, 2007; Claussen et al., 2021). Public health stakeholders might improve ADHD morbidity through deploying prevention strategies targeting risk factors, such as concussion prevention policies (Yang et al., 2017), or their social and structural determinants. Focusing on children disproportionately impacted by both physical health conditions and ADHD, such as those in low-income families (Brown, 2010; Danielson et al., 2018), may help advance health equity. Further, universal public health actions can be considered to improve population outcomes, even though contributing processes for each risk factor may vary. For example, delayed school start times (Weiss et al., 2015) can improve children’s sleep at the population level, even if individual children have issues rooted in neurological, psychosocial, anatomical, or multifactorial etiologies (Rigney et al., 2018). For some factors, additional study would help inform the design of optimal and equitable prevention approaches. Meaningful population-wide impact for any of these risk factors will likely benefit from incorporating both universal and targeted prevention (Dodge, 2020; Fagan et al., 2019).
Finally, in addition to mitigating risks, systems could consider promoting protective factors that might buffer children—particularly those already affected by health conditions—from developing or exacerbating ADHD symptoms. For example, strategies to support children’s cognitive enrichment or physical activity may promote structural and functional neurodevelopment to affect the trajectory of behavioral symptoms (Halperin et al., 2012). This approach may be particularly salient for those factors where a linear relationship between exposure and health status is less clear, in which case universal primary prevention may not be advisable (e.g., allergies; Hamelmann et al., 2008). Ultimately, preventing the developmental processes leading to ADHD may be more resource efficient, as long-term medication and behavioral treatments, once indicated, can be difficult for families to access and maintain (So et al., 2019; Wolraich et al., 2019). As knowledge about ADHD prevention strategies grows, concurrent system efforts to expand access to ADHD treatment and supports remain nonetheless vital.
Limitations
Despite numerous strengths similar to those described in Robinson et al. (2022), this meta-analytic review has limitations. First, child health factors can be related to other variables, such as perinatal Bitsko et al. (2022) or chemical factors Dimitrov et al. (under review), that might mediate or moderate relationships observed. For example, adverse prenatal experiences can contribute to stress-related neuroendocrine immune activation in children with genetic predisposition to ADHD, thereby creating a window of vulnerability for children exposed to additional insults such as head injury (Allred et al., 2017). Second, we were able to examine only a select group of child health risks for which there were adequate data. Future research could examine other factors we initially considered, such as malnutrition and corticosteroids (Tsai et al., 2018; Verlaet et al., 2014), or other insults to the developing nervous system (e.g., brain tumors; Hardy et al., 2018). Furthermore, for factors with relatively fewer included studies (e.g., allergies, asthma, eczema) and with large variations in sample size, additional research may identify significant associations. Relatedly, as with all studies based on published literature, these results cannot be assumed to generalize beyond the populations in the included studies. Third, the absence of significant findings for certain factors may reflect methodological limits rather than lack of an empirical relationship. Fourth, we could not evaluate the timing (e.g., early vs. middle childhood infections) or severity (e.g., frequency of head injuries) of risk factor exposures, nor time-to-event outcomes. This is a notable challenge, as both child health experiences and ADHD are developmentally sensitive (Rice & Barone, 2000; Sonuga-Barke & Halperin, 2010). We cannot exclude the possibility that child health experiences and ADHD symptoms occurred contemporaneously, even if assessment or formal diagnosis of ADHD took place at a later timepoint than exposure assessment (Asarnow et al., 2021). Additionally, recent research has shown shared genetic risk for ADHD and somatic conditions, suggesting that these disorders may be different manifestations of similar genotypes rather than causal risk factors (Brikell et al., 2021; Garcia-Argibay et al., 2022); additional research is needed to further understand these relationships. Further complicating matters, certain conditions like allergies can emerge and recede over time precluding straightforward temporal inferences. Additional investigation into the role of chronicity, timing, and severity can guide more precise prevention and diagnostic efforts.
Finally, we observed significant heterogeneity for several risk factors examined, especially with continuous outcomes, suggesting variability in the magnitude or direction of estimates from individual studies (see Table 2). This result may be unsurprising, as we did not limit our meta-analyses based on key elements that may lead to heterogeneity, such as differences in measures of risk, severity of exposures, or other study design characteristics. For instance, although factors were grouped together conceptually, exposures within individual studies may confer risk for ADHD via distinct mechanisms (e.g., different pathways of microbial pathogenesis under “childhood infections”) or might operate only above a certain threshold. Relatedly, exposures we conceived of as separate factors (e.g., “allergies” and “asthma”) may in reality share a common etiologic pathway toward ADHD, such as oxidative stress (Joseph et al., 2015). Heterogeneity seen across multiple factors suggests that these effect sizes should be interpreted cautiously and explored for possible subgroup or outlier effects. Undertaking these additional analyses herein was considered, but such efforts could have rendered several factors with insufficient effect sizes to produce pooled estimates. Overall, study decisions were guided by a public health approach to child development, recognizing that identification of ADHD correlates can help inform key focal areas for intervention (Fagan et al., 2019). In using random-effects models, our meta-analysis offers a statistically conservative initial profile of select risk factors’ associations, laying the groundwork for future study.
Conclusion
Drawing upon data from a quarter-million children over four decades, we identified childhood physical health risk factors associated with increased likelihood of later ADHD symptoms or diagnosis. This work expands the scope of previous evidence syntheses by focusing on antecedent health experiences, considering both ADHD diagnosis and constituent symptoms, and applying identical methods to examine multiple plausible risk factors simultaneously. Systems and healthcare providers may be well positioned to influence ADHD outcomes by considering these preventable, and sometimes treatable, health issues, such as childhood head injuries and sleep problems. Available clinical and public health strategies (e.g., screening tools, educational programs, policies) that identify or ameliorate physical health risk factors may foster neurodevelopmental health for children and their families.
References
* indicates study that was included for meta-analysis
Adeyemo, B. O., Biederman, J., Zafonte, R., Kagan, E., Spencer, T. J., Uchida, M., Kenworthy, T., Spencer, A. E., & Faraone, S. V. (2014). Mild traumatic brain injury and ADHD: A systematic review of the literature and meta-analysis. Journal of Attention Disorders, 18, 576–584. https://doi.org/10.1177/1087054714543371
Akaltun, İ, Kara, T., Ayaydın, H., Alyanak, B., Beka, H., & Ağaçfidan, A. (2019). The relation between serum Toxoplasma gondii IgG antibody in children and ADHD and its severity. Psychiatry and Clinical Psychopharmacology, 29, 326–331. https://doi.org/10.1080/24750573.2018.1449184
Allred, E. N., Dammann, O., Fichorova, R. N., Hooper, S. R., Hunter, S. J., Joseph, R. M., Kuban, K., Leviton, A., O’Shea, T. M., & Scott, M. N. (2017). Systemic Inflammation during the first postnatal month and the risk of attention deficit hyperactivity disorder characteristics among 10 year-old children born extremely preterm. Journal of Neuroimmune Pharmacology, 12, 531–543. https://doi.org/10.1007/s11481-017-9742-9
*Anderson, V., Catroppa, C., Morse, S., Haritou, F., & Rosenfeld, J. (2005). Attentional and processing skills following traumatic brain injury in early childhood. Brain Injury, 19, 699–710. https://doi.org/10.1080/02699050400025281
*Anderson, V., Fenwick, T., Manly, T., & Robertson, I. (1998). Attentional skills following traumatic brain injury in childhood: A componential analysis. Brain Injury, 12, 937–949. https://doi.org/10.1080/026990598121990
Asarnow, R. F., Newman, N., Weiss, R. E., & Su, E. (2021). Association of attention-deficit/hyperactivity disorder diagnoses with pediatric traumatic brain injury: A meta-analysis. JAMA Pediatrics, 175, 1009–1016. https://doi.org/10.1001/jamapediatrics.2021.2033
*Babikian, T., Satz, P., Zaucha, K., Light, R., Lewis, R. S., & Asarnow, R. F. (2011). The UCLA longitudinal study of neurocognitive outcomes following mild pediatric traumatic brain injury. Journal of the International Neuropsychological Society, 17, 886–895. https://doi.org/10.1017/S1355617711000907
*Bennett, K. E., & Haggard, M. P. (1999). Behaviour and cognitive outcomes from middle ear disease. Archives of Disease in Childhood, 80, 28–35. https://doi.org/10.1136/adc.80.1.28
*Biederman, J., Feinberg, L., Chan, J., Adeyemo, B. O., Woodworth, K. Y., Panis, W., McGrath, N., Bhatnagar, S., Spencer, T. J., Uchida, M., Kenworthy, T., Grossman, R., Zafonte, R., & Faraone, S. V. (2015). Mild traumatic brain injury and attention-deficit hyperactivity disorder in young student athletes. Journal of Nervous and Mental Disease, 203, 813–819. https://doi.org/10.1097/NMD.0000000000000375
Bilenberg, N., Hougaard, D., Norgaard-Pedersen, B., Nordenbæk, C. M., & Olsen, J. (2011). Twin study on transplacental-acquired antibodies and attention deficit/hyperactivity disorder - A pilot study. Journal of Neuroimmunology, 236, 72–75. https://doi.org/10.1016/j.jneuroim.2011.04.012
Bitsko, R. H., Holbrook, J. R., O’Masta, B., Maher, B., Cerles, A., Saadeh, K., Mahmooth, Z., MacMillan, L. M., Rush, M., & Kaminski, J. W. (2022). A Systematic Review and Meta-analysis of Prenatal, Birth, and Postnatal Factors Associated with Attention-Deficit/Hyperactivity Disorder in Children. Prevention Science.
Bonfield, C. M., Lam, S., Lin, Y., & Greene, S. (2013). The impact of attention deficit hyperactivity disorder on recovery from mild traumatic brain injury: Clinical article. Journal of Neurosurgery: Pediatrics, 12, 97–102. https://doi.org/10.3171/2013.5.PEDS12424
*Bonuck, K., Freeman, K., Chervin, R. D., & Xu, L. (2012). Sleep-disordered breathing in a population-based cohort: Behavioral outcomes at 4 and 7 years. Pediatrics. https://doi.org/10.1542/peds.2011-1402
Brikell, I., Burton, C., Mota, N. R., & Martin, J. (2021). Insights into attention-deficit/hyperactivity disorder from recent genetic studies. Psychological Medicine, 51, 2274–2286. https://doi.org/10.1017/S0033291721000982
Brown, R. L. (2010). Epidemiology of injury and the impact of health disparities. Current Opinion in Pediatrics, 22, 321–325. https://doi.org/10.1097/MOP.0b013e3283395f13
Brundage, S., Shearer, C., Scaffidi, S., & Partridge, L. (2021). Profiles in integrated family care. https://uhfnyc.org/publications/publication/profiles-integrated-family-care/. Accessed 18 November 2021.
Buske-Kirschbaum, A., Schmitt, J., Plessow, F., Romanos, M., Weidinger, S., & Roessner, V. (2013). Psychoendocrine and psychoneuroimmunological mechanisms in the comorbidity of atopic eczema and attention deficit/hyperactivity disorder. Psychoneuroendocrinology, 38, 12–23. https://doi.org/10.1016/j.psyneuen.2012.09.017
*Bussing, R., Halfon, N., Benjamin, B., & Wells, K. B. (1995). Prevalence of behavior problems in US children with asthma. Archives of Pediatrics & Adolescent Medicine, 149, 565–572. https://doi.org/10.1001/archpedi.1995.02170180095018
*Calam, R., Gregg, L., & Goodman, R. (2005). Psychological adjustment and asthma in children and adolescents: The UK nationwide mental health survey. Psychosomatic Medicine, 67, 105–110. https://doi.org/10.1097/01.psy.0000151490.77622.37
*Campbell, S. B., Schleifer, M., & Weiss, G. (1978). Continuities in maternal reports and child behaviors over time in hyperactive and comparison groups. Journal of Abnormal Child Psychology, 6, 33–45. https://doi.org/10.1007/BF00915780
*Carpena, M. X., Munhoz, T. N., Xavier, M. O., Rohde, L. A., Santos, I. S., Del-Ponte, B., Barros, F. C., Matijasevich, A., & Tovo-Rodrigues, L. (2020). The role of sleep duration and sleep problems during childhood in the development of ADHD in adolescence: Findings from a population-based birth cohort. Journal of Attention Disorders, 24, 590–600. https://doi.org/10.1177/1087054719879500
*Catroppa, C., Anderson, V. A., Morse, S. A., Haritou, F., & Rosenfeld, J. V. (2007). Children’s attentional skills 5 years post-TBI. Journal of Pediatric Psychology, 32, 354–369. https://doi.org/10.1093/jpepsy/jsl019
Chen, M. H., Su, T. P., Chen, Y. S., Hsu, J. W., Huang, K. L., Chang, W. H., Chen, T. J., Pan, T. L., & Bai, Y. M. (2014). Is atopy in early childhood a risk factor for ADHD and ASD? A longitudinal study. Journal of Psychosomatic Research, 77, 316–321. https://doi.org/10.1016/j.jpsychores.2014.06.006
*Chervin, R. D., Ruzicka, D. L., Archbold, K. H., & Dillon, J. E. (2005). Snoring predicts hyperactivity four years later. Sleep, 28, 885–890. https://doi.org/10.1093/sleep/28.7.885
Claussen, A. H., Holbrook, J. R., Hutchins, H. J., Robinson, L. R., Bloomfield, J., Meng, L., Bitsko, R. H., O’Masta, B., Cerles, A., Maher, B., Rush, M., & Kaminski, J. W. (2022). All in the family? A systematic review and meta-analysis of parenting and family environment as risk factors for attention-deficit/hyperactivity disorder (ADHD) in children. Prevention Science.
Claussen, A. H., Robinson, L. R., Kaminski, J. W., Charania, S., Holbrook, J. R., So, M., Ghandour, R., Smith, C., Satterfield-Nash, A., Peacock, G., & Boyle, C. (2021). Factors associated with self-regulation in a nationally representative sample of children ages 3–5 years: United States, 2016. Maternal and Child Health Journal, 25, 27–37. https://doi.org/10.1007/s10995-020-03039-6
Cortese, S., Sun, S., Zhang, J., Sharma, E., Chang, Z., Kuja-Halkola, R., Almqvist, C., Larsson, H., & Faraone, S. V. (2018). Association between attention deficit hyperactivity disorder and asthma: A systematic review and meta-analysis and a Swedish population-based study. The Lancet Psychiatry, 5, 717–726. https://doi.org/10.1016/S2215-0366(18)30224-4
Crowther, C. A., Anderson, P. J., McKinlay, C. J. D., Harding, J. E., Ashwood, P. J., Haslam, R. R., Robinson, J. S., & Doyle, L. W. (2016). Mid-childhood outcomes of repeat antenatal corticosteroids: A randomized controlled trial. Pediatrics. https://doi.org/10.1542/peds.2016-0947
Curtis, L. T., & Patel, K. (2008). Nutritional and environmental approaches to preventing and treating autism and attention deficit hyperactivity disorder (ADHD): A review. Journal of Alternative and Complementary Medicine, 14, 79–85. https://doi.org/10.1089/acm.2007.0610
Danielson, M. L., Bitsko, R. H., Ghandour, R. M., Holbrook, J. R., Kogan, M. D., & Blumberg, S. J. (2018). Prevalence of parent-reported ADHD diagnosis and associated treatment among U.S. children and adolescents, 2016. Journal of Clinical Child and Adolescent Psychology, 47, 199–212. https://doi.org/10.1080/15374416.2017.1417860
Demontis, D., Walters, R. K., Martin, J., Mattheisen, M., Als, T. D., Agerbo, E., Baldursson, G., Belliveau, R., Bybjerg-Grauholm, J., Bækvad-Hansen, M., Cerrato, F., Chambert, K., Churchhouse, C., Dumont, A., Eriksson, N., Gandal, M., Goldstein, J. I., Grasby, K. L., Grove, J., & Neale, B. M. (2019). Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder. Nature Genetics, 51, 63–75. https://doi.org/10.1038/s41588-018-0269-7
DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7, 177–188. https://doi.org/10.1016/0197-2456(86)90046-2
Dimitrov, L. V., Kaminski, J. W., Holbrook, J. R., Bitsko, R. H., Yeh, M., O'Masta, B., Cerles, A., Rush, M., & Maher, B. (under review). A systematic review and meta-analysis of chemical exposures and attention-deficit, hyperactivity disorder. Prevention Science.
Dodge, K. A. (2020). Annual research review: Universal and targeted strategies for assigning interventions to achieve population impact. Journal of Child Psychology and Psychiatry and Allied Disciplines, 61, 255–267. https://doi.org/10.1111/jcpp.13141
Doshi, J. A., Hodgkins, P., Kahle, J., Sikirica, V., Cangelosi, M. J., Setyawan, J., Erder, M. H., & Neumann, P. J. (2012). Economic impact of childhood and adult attention-deficit/hyperactivity disorder in the United States. Journal of the American Academy of Child and Adolescent Psychiatry, 51, 990-1002.e2. https://doi.org/10.1016/j.jaac.2012.07.008
Dutil, C., Walsh, J. J., Featherstone, R. B., Gunnell, K. E., Tremblay, M. S., Gruber, R., Weiss, S. K., Cote, K. A., Sampson, M., & Chaput, J. P. (2018). Influence of sleep on developing brain functions and structures in children and adolescents: A systematic review. Sleep Medicine Reviews, 42, 184–201. https://doi.org/10.1016/j.smrv.2018.08.003
Fagan, A. A., Bumbarger, B. K., Barth, R. P., Bradshaw, C. P., Cooper, B. R., Supplee, L. H., & Walker, D. K. (2019). Scaling up evidence-based interventions in US public systems to prevent behavioral health problems: Challenges and opportunities. Prevention Science, 20, 1147–1168. https://doi.org/10.1007/s11121-019-01048-8
Faraone, S. V., Banaschewski, T., Coghill, D., Zheng, Y., Biederman, J., Bellgrove, M. A., Newcorn, J. H., Gignac, M., Al Saud, N. M., Manor, I., Rohde, L. A., Yang, L., Cortese, S., Almagor, D., Stein, M. A., Albatti, T. H., Aljoudi, H. F., Alqahtani, M. M. J., Asherson, P., & Wang, Y. (2021). The world federation of ADHD international consensus statement: 208 evidence-based conclusions about the disorder. Neuroscience & Biobehavioral Reviews, 128, 789–818. https://doi.org/10.1016/J.NEUBIOREV.2021.01.022
Faraone, S. V., & Larsson, H. (2019). Genetics of attention deficit hyperactivity disorder. Molecular Psychiatry, 24, 562–575. https://doi.org/10.1038/s41380-018-0070-0
*Fay, G. C., Jaffe, K. M., Polissar, N. L., Liao, S., Rivara, J. B., & Martin, K. M. (1994). Outcome of pediatric traumatic brain injury at three years: A cohort study. Archives of Physical Medicine and Rehabilitation, 75, 733–741. https://doi.org/10.5555/uri:pii:0003999394901279
*Ganesalingam, K., Sanson, A., Anderson, V., & Yeates, K. O. (2006). Self-regulation and social and behavioral functioning following childhood traumatic brain injury. Journal of the International Neuropsychological Society, 12, 609–621. https://doi.org/10.1017/S1355617706060796
Garcia-Argibay, M., du Rietz, E., Lu, Y., Martin, J., Haan, E., Letho, K., Bergen, S. E., Lichtenstein, P., Larsson, H., & Brikell, I. (2022). The role of ADHD genetic risk in mid-to-late life somatic health conditions. Translational Psychiatry, 12, 1–9. https://doi.org/10.1038/s41398-022-01919-9
*Gau, S. S. F., Chang, L. Y., Huang, L. M., Fan, T. Y., Wu, Y. Y., & Lin, T. Y. (2008). Attention-deficit/hyperactivity-related symptoms among children with enterovirus 71 infection of the central nervous system. Pediatrics. https://doi.org/10.1542/peds.2007-3799
*Genuneit, J., Braig, S., Brandt, S., Wabitsch, M., Florath, I., Brenner, H., & Rothenbacher, D. (2014). Infant atopic eczema and subsequent attention-deficit/hyperactivity disorder - A prospective birth cohort study. Pediatric Allergy and Immunology, 25, 51–56. https://doi.org/10.1111/pai.12152
*Gregory, A. M., Eley, T. C., O’Connor, T. G., & Plomin, R. (2004). Etiologies of associations between childhood sleep and behavioral problems in a large twin sample. Journal of the American Academy of Child and Adolescent Psychiatry, 43, 744–751.
*Gurevitz, M., Geva, R., Varon, M., & Leitner, Y. (2014). Early markers in infants and toddlers for development of ADHD. Journal of Attention Disorders, 18, 14–22. https://doi.org/10.1177/1087054712447858
Haarbauer-Krupa, J., Lee, A. H., Bitsko, R. H., Zhang, X., & Kresnow-Sedacca, M. J. (2018). Prevalence of parent-reported traumatic brain injury in children and associated health conditions. JAMA Pediatrics, 172, 1078–1086. https://doi.org/10.1001/jamapediatrics.2018.2740
*Hadzic, E., Sinanovic, O., & Memisevic, H. (2017). Is bacterial meningitis a risk factor for developing attention deficit hyperactivity disorder. Israel Journal of Psychiatry, 54(2), 54–58. https://europepmc.org/article/med/29248907. Accessed 18 November 2021.
*Hagerman, R. J., & Falkenstein, A. R. (1987). An association between recurrent otitis media in infancy and later hyperactivity. Clinical Pediatrics, 26, 253–257. https://doi.org/10.1177/000992288702600508
*Hak, E., De Vries, T. W., Hoekstra, P. J., & Jick, S. S. (2013). Association of childhood attention-deficit/hyperactivity disorder with atopic diseases and skin infections? A matched case-control study using the General Practice Research Database. Annals of Allergy, Asthma and Immunology, 111, 102-106.e2. https://doi.org/10.1016/j.anai.2013.05.023
Halperin, J. M., Bédard, A. C. V., & Curchack-Lichtin, J. T. (2012). Preventive interventions for ADHD: A neurodevelopmental perspective. Neurotherapeutics, 9, 531–541. https://doi.org/10.1007/s13311-012-0123-z
Hamelmann, E., Beyer, K., Gruber, C., Lau, S., Matricardi, P. M., Nickel, R., Niggemann, B., & Wahn, U. (2008). Primary prevention of allergy: Avoiding risk or providing protection? Clinical and Experimental Allergy, 38, 233–245. https://doi.org/10.1111/j.1365-2222.2007.02901.x
Hanania, R., & Smith, L. B. (2010). Selective attention and attention switching: Towards a unified developmental approach. Developmental Science, 13, 622–635. https://doi.org/10.1111/j.1467-7687.2009.00921.x
Hardy, K. K., Willard, V. W., Gioia, A., Sharkey, C., & Walsh, K. S. (2018). Attention-mediated neurocognitive profiles in survivors of pediatric brain tumors: Comparison to children with neurodevelopmental ADHD. Neuro-Oncology, 20, 705–715. https://doi.org/10.1093/neuonc/nox174
*Hawley, C. A., Ward, A. B., Magnay, A. R., & Long, J. (2004). Outcomes following childhood head injury: A population study. Journal of Neurology, Neurosurgery and Psychiatry, 75, 737–742. https://doi.org/10.1136/jnnp.2003.020651
*Hersher, L. (1978). Minimal brain dysfunction and otitis media. Perceptual and Motor Skills, 47, 723–726. https://doi.org/10.2466/pms.1978.47.3.723
*Huhdanpää, H., Morales-Muñoz, I., Aronen, E. T., Pölkki, P., Saarenpää-Heikkilä, O., Paunio, T., Kylliäinen, A., & Paavonen, E. J. (2019). Sleep difficulties in infancy are associated with symptoms of inattention and hyperactivity at the age of 5 years. Journal of Developmental & Behavioral Pediatrics, 40, 432–440. https://doi.org/10.1097/DBP.0000000000000684
*Jaspers, M., De Winter, A. F., Buitelaar, J. K., Verhulst, F. C., Reijneveld, S. A., & Hartman, C. A. (2013). Early childhood assessments of community pediatric professionals predict autism spectrum and attention deficit hyperactivity problems. Journal of Abnormal Child Psychology, 41, 71–80. https://doi.org/10.1007/s10802-012-9653-4
Jensen, P. S. (2000). ADHD: Current concepts on etiology, pathophysiology, and neurobiology. Child and Adolescent Psychiatric Clinics of North America, 9, 557–572. https://doi.org/10.1016/s1056-4993(18)30107-x
Joseph, N., Zhang-James, Y., Perl, A., & Faraone, S. V. (2015). Oxidative stress and ADHD: A meta-analysis. Journal of Attention Disorders, 19, 915–924. https://doi.org/10.1177/1087054713510354
Kanchongkittiphon, W., Mendell, M. J., Gaffin, J. M., Wang, G., & Phipatanakul, W. (2015). Indoor environmental exposures and exacerbation of asthma: An update to the 2000 review by the institute of medicine. Environmental Health Perspectives, 123, 6–20. https://doi.org/10.1289/ehp.1307922
*Keenan, H. T., Clark, A. E., Holubkov, R., Cox, C. S., & Ewing-Cobbs, L. (2018). Psychosocial and executive function recovery trajectories one year after pediatric traumatic brain injury: The influence of age and injury severity. Journal of Neurotrauma, 35, 286–296. https://doi.org/10.1089/neu.2017.5265
*Keenan, H. T., Hall, G. C., & Marshall, S. W. (2008). Early head injury and attention-deficit/hyperactivity disorder: Retrospective cohort study. BMJ, 337, 1208–1210. https://doi.org/10.1136/bmj.a1984
*Kortesoja, L., Vainikainen, M. P., Hotulainen, R., Rimpelä, A., Dobewall, H., Lindfors, P., Karvonen, S., & Merikanto, I. (2020). Bidirectional relationship of sleep with emotional and behavioral difficulties: A five-year follow-up of Finnish adolescents. Journal of Youth and Adolescence, 49, 1277–1291. https://doi.org/10.1007/s10964-020-01203-3
*Kramer, M. E., Chiu, C. Y. P., Walz, N. C., Holland, S. K., Yuan, W., Karunanayaka, P., & Wade, S. L. (2008). Long-term neural processing of attention following early childhood traumatic brain injury: FMRI and neurobehavioral outcomes. Journal of the International Neuropsychological Society, 14, 424–435. https://doi.org/10.1017/S1355617708080545
Leffa, D. T., Torres, I. L. S., & Rohde, L. A. (2019). A review on the role of inflammation in attention-deficit/hyperactivity disorder. NeuroImmunoModulation, 25, 328–333. https://doi.org/10.1159/000489635
Levin, H., Hanten, G., Max, J., Li, X., Swank, P., Ewing-Cobbs, L., Dennis, M., Menefee, D. S., & Schachar, R. (2007). Symptoms of attention-deficit/hyperactivity disorder following traumatic brain injury in children. Journal of Developmental and Behavioral Pediatrics, 28, 108–118. https://doi.org/10.1097/01.DBP.0000267559.26576.cd
Liou, Y. J., Wei, H. T., Chen, M. H., Hsu, J. W., Huang, K. L., Bai, Y. M., Su, T. P., Li, C. T., Yang, A. C., Tsai, S. J., Lin, W. C., & Chen, T. J. (2018). Risk of traumatic brain injury among children, adolescents, and young adults with attention-deficit hyperactivity disorder in Taiwan. Journal of Adolescent Health, 63, 233–238. https://doi.org/10.1016/j.jadohealth.2018.02.012
*Maher, B., Kaminski, J. W., O’Masta, B., Cerles, A., Holbrook, J. R., & Mahmooth, Z. (under review). A systematic meta-analysis of the relationship between exposure to parental substance use and attention- deficit/hyperactivity disorder. Prevention Science.
Mahr, T. A., & Sheth, K. (2005). Update on allergic rhinitis. Pediatrics in Review, 26, 284–289. https://doi.org/10.1542/pir.26-8-284
*Massagli, T. L., Fann, J. R., Burington, B. E., Jaffe, K. M., Katon, W. J., & Thompson, R. S. (2004). Psychiatric illness after mild traumatic brain injury in children. Archives of Physical Medicine and Rehabilitation, 85, 1428–1434. https://doi.org/10.1016/j.apmr.2003.12.036
*Max, J. E., Lansing, A. E., Koele, S. L., Castillo, C. S., Bokura, H., Schachar, R., Collings, N., & Williams, K. E. (2004). Attention deficit hyperactivity disorder in children and adolescents following traumatic brain injury. Developmental Neuropsychology, 25, 159–177. https://doi.org/10.1080/87565641.2004.9651926
*Max, J. E., Sharma, A., & Qurashi, M. I. (1997). Traumatic brain injury in a child psychiatry inpatient population: A controlled study. Journal of the American Academy of Child & Adolescent Psychiatry, 36, 1595–1601. https://doi.org/10.1016/S0890-8567(09)66570-9
*McKinlay, A., Dalrymple-Alford, J. C., Horwood, L. J., & Fergusson, D. M. (2002). Long term psychosocial outcomes after mild head injury in early childhood. Journal of Neurology Neurosurgery and Psychiatry, 73, 281–288. https://doi.org/10.1136/jnnp.73.3.281
Mehta, T. R., Gurung, P., Nene, Y., Fayyaz, M., & Bollu, P. C. (2019). Sleep and ADHD: A review article. Current Developmental Disorders Reports, 6, 228–234. https://doi.org/10.1007/s40474-019-00178-6
Meldrum, S. J., D’Vaz, N., Dunstan, J. A., Mori, T. A., Hird, K., Simmer, K., & Prescott, S. L. (2012). Allergic disease in the first year of life is associated with differences in subsequent neurodevelopment and behaviour. Early Human Development, 88, 567–573. https://doi.org/10.1016/j.earlhumdev.2011.12.032
Millichap, J. G. (2008). Etiologic classification of attention-deficit/hyperactivity disorder. Pediatrics. https://doi.org/10.1542/peds.2007-1332
Miyazaki, C., Koyama, M., Ota, E., Swa, T., Mlunde, L. B., Amiya, R. M., Tachibana, Y., Yamamoto-Hanada, K., & Mori, R. (2017). Allergic diseases in children with attention deficit hyperactivity disorder: A systematic review and meta-analysis. BMC Psychiatry, 17, 120. https://doi.org/10.1186/s12888-017-1281-7
*Mogensen, N., Larsson, H., Lundholm, C., & Almqvist, C. (2011). Association between childhood asthma and ADHD symptoms in adolescence - A prospective population-based twin study. Allergy: European Journal of Allergy and Clinical Immunology, 66, 1224–1230. https://doi.org/10.1111/j.1398-9995.2011.02648.x
Mora, S., Martín-González, E., Flores, P., & Moreno, M. (2020). Neuropsychiatric consequences of childhood group A streptococcal infection: A systematic review of preclinical models. Brain, Behavior, and Immunity, 86, 53–62. https://doi.org/10.1016/j.bbi.2019.02.027
Narad, M. E., Kennelly, M., Zhang, N., Wade, S. L., Yeates, K. O., Taylor, H. G., Epstein, J. N., & Kurowski, B. G. (2018). Secondary attention-deficit/hyperactivity disorder in children and adolescents 5 to 10 years after traumatic brain injury. JAMA Pediatrics, 172, 437–443. https://doi.org/10.1001/jamapediatrics.2017.5746
Nieto, A., Wahn, U., Bufe, A., Eigenmann, P., Halken, S., Hedlin, G., Høst, A., Hourihane, J., Just, J., Lack, G., Lau, S., Matricardi, P. M., Muraro, A., Papadopoulos, N., Roberts, G., Simpson, A., Valovirta, E., Weidinger, S., Wickman, M., & Mazon, A. (2014). Allergy and asthma prevention 2014. Pediatric Allergy and Immunology, 25, 516–533. https://doi.org/10.1111/pai.12272
Nigg, J. T. (2018). Toward an emerging paradigm for understanding attention-deficit/hyperactivity disorder and other neurodevelopmental, mental, and behavioral disorders: Environmental risks and epigenetic associations. JAMA Pediatrics, 172, 619–621. https://doi.org/10.1001/jamapediatrics.2018.0920
*O’Callaghan, F. V., Al Mamun, A., O’Callaghan, M., Clavarino, A., Williams, G. M., Bor, W., Heussler, H., & Najman, J. M. (2010). The link between sleep problems in infancy and early childhood and attention problems at 5 and 14years: Evidence from a birth cohort study. Early Human Development, 86, 419–424. https://doi.org/10.1016/j.earlhumdev.2010.05.020
Pelsser, L. M. J., Buitelaar, J. K., & Savelkoul, H. F. J. (2009). ADHD as a (non) allergic hypersensitivity disorder: A hypothesis. Pediatric Allergy and Immunology, 20, 107–112. https://doi.org/10.1111/j.1399-3038.2008.00749.x
*Perfect, M. M., Archbold, K., Goodwin, J. L., Levine-Donnerstein, D., & Quan, S. F. (2013). Risk of behavioral and adaptive functioning difficulties in youth with previous and current sleep disordered breathing. Sleep, 36, 517–525. https://doi.org/10.5665/sleep.2536
Pliszka, S. R., AACAP Workgroup on Quality Issues. (2007). Practice parameter for the assessment and treatment of children and adolescents with attention-deficit/hyperactivity disorder. Journal of the American Academy of Child and Adolescent Psychiatry, 46, 894–921. https://doi.org/10.1097/chi.0b013e318054e724
*Plourde, V., Boivin, M., Brendgen, M., Vitaro, F., Robaey, P., Tremblay, R. E., & Dionne, G. (2018). Cognitive mechanisms underlying the associations between inattention and reading abilities. Developmental Neuropsychology, 43, 92–105. https://doi.org/10.1080/87565641.2017.1422508
Poelmans, G., Pauls, D. L., Buitelaar, J. K., & Franke, B. (2011). Integrated genome-wide association study findings: Identification of a neurodevelopmental network for attention deficit hyperactivity disorder. American Journal of Psychiatry, 168, 365–377. https://doi.org/10.1176/appi.ajp.2010.10070948
*Pohlabeln, H., Rach, S., De Henauw, S., Eiben, G., Gwozdz, W., Hadjigeorgiou, C., Molnár, D., Moreno, L. A., Russo, P., Veidebaum, T., & Pigeot, I. (2017). Further evidence for the role of pregnancy-induced hypertension and other early life influences in the development of ADHD: Results from the IDEFICS study. European Child and Adolescent Psychiatry, 26, 957–967. https://doi.org/10.1007/s00787-017-0966-2
Quach, J. L., Nguyen, C. D., Williams, K. E., & Sciberras, E. (2018). Bidirectional associations between child sleep problems and internalizing and externalizing difficulties from preschool to early adolescence. JAMA Pediatrics, 172, e174363. https://doi.org/10.1001/jamapediatrics.2017.4363
Rice, D., & Barone, S. (2000). Critical periods of vulnerability for the developing nervous system: Evidence from humans and animal models. Environmental Health Perspectives, 108, 511–533. https://doi.org/10.1289/ehp.00108s3511
Rigney, G., Ali, N. S., Corkum, P. V., Brown, C. A., Constantin, E., Godbout, R., Hanlon-Dearman, A., Ipsiroglu, O., Reid, G. J., Shea, S., Smith, I. M., Van der Loos, H. F. M., & Weiss, S. K. (2018). A systematic review to explore the feasibility of a behavioural sleep intervention for insomnia in children with neurodevelopmental disorders: A transdiagnostic approach. Sleep Medicine Reviews, 41, 244–254. https://doi.org/10.1016/j.smrv.2018.03.008
*Robinson, L. R., Bitsko, R. H., O’Masta, B., Holbrook, J. R., Ko, J., Barry, C. M., Maher, B., Cerles, A., Saadeh, K., MacMillan, L. M., Mahmooth, Z., Bloomfield, J., Rush, M., & Kaminski, J. W. (2022). A Systematic Review and Meta-analysis of Parental Depression, Antidepressant Usage, Antisocial Personality Disorder, and Stress and Anxiety as Risk Factors for Attention-Deficit/Hyperactivity Disorder (ADHD) in Children. Prevention Science.
*Sasaluxnanon, C., & Kaewpornsawan, T. (2005). Risk factor of birth weight below 2,500 grams and attention deficit hyperactivity disorder in Thai children. Journal of the Medical Association of Thailand, 88, 1514–1518.
*Schachar, R., Levin, H. S., Max, J. E., Purvis, K., & Chen, S. (2004). Attention deficit hyperactivity disorder symptoms and response inhibition after closed head injury in children: Do preinjury behavior and injury severity predict outcome? Developmental Neuropsychology, 25, 179–198. https://doi.org/10.1207/s15326942dn2501&2_10
Schmitt, J., Buske-Kirschbaum, A., & Roessner, V. (2010). Is atopic disease a risk factor for attention-deficit/hyperactivity disorder? A systematic review. Allergy, 65, 1506–1524. https://doi.org/10.1111/j.1398-9995.2010.02449.x
*Segalowitz, S. J., & Lawson, S. (1995). Subtle symptoms associated with self-reported mild head injury. Journal of Learning Disabilities, 28, 309–319. https://doi.org/10.1177/002221949502800507
*Simola, P., Liukkonen, K., Pitkäranta, A., Pirinen, T., & Aronen, E. T. (2014). Psychosocial and somatic outcomes of sleep problems in children: A 4-year follow-up study. Child: Care, Health and Development, 40, 60–67. https://doi.org/10.1111/j.1365-2214.2012.01412.x
*Smedje, H., Broman, J. E., & Hetta, J. (2001). Associations between disturbed sleep and behavioural difficulties in 635 children aged six to eight years: A study based on parents’ perceptions. European Child and Adolescent Psychiatry, 10, 1–9. https://doi.org/10.1007/s007870170041
So, M., McCord, R. F., & Kaminski, J. W. (2019). Policy levers to promote access to and utilization of children’s mental health services: A systematic review. Administration and Policy in Mental Health and Mental Health Services Research, 46, 334–351. https://doi.org/10.1007/s10488-018-00916-9
Sonuga-Barke, E. J. S., & Halperin, J. M. (2010). Developmental phenotypes and causal pathways in attention deficit/hyperactivity disorder: Potential targets for early intervention? Journal of Child Psychology and Psychiatry, 51, 368–389. https://doi.org/10.1111/j.1469-7610.2009.02195.x
*Suwan, P., Akaramethathip, D., & Noipayak, P. (2011). Association between allergic sensitization and attention deficit hyperactivity disorder (ADHD). Asian Pacific Journal of Allergy and Immunology, 29, 57–65.
Teicher, M. H., Anderson, C. M., Polcari, A., Glod, C. A., Maas, L. C., & Renshaw, P. F. (2000). Functional deficits in basal ganglia of children with attention-deficit/hyperactivity disorder shown with functional magnetic resonance imaging relaxometry. Nature Medicine, 6, 470–473. https://doi.org/10.1038/74737
*Thaler, N. S., Mayfield, J., Reynolds, C. R., Hadland, C., & Allen, D. N. (2012). Teacher-reported behavioral disturbances in children with traumatic brain injury: An examination of the BASC-2. Applied Neuropsychology: Child, 1, 30–37. https://doi.org/10.1080/21622965.2012.665776
*Thunström, M. (2007). Severe sleep problems in infancy associated with subsequent development of attention-deficit/hyperactivity disorder at 5.5 years of age. Acta Paediatrica, 91, 584–592. https://doi.org/10.1111/j.1651-2227.2002.tb03281.x
Toplak, M. E., Dockstader, C., & Tannock, R. (2006). Temporal information processing in ADHD: Findings to date and new methods. Journal of Neuroscience Methods, 151, 15–29. https://doi.org/10.1016/j.jneumeth.2005.09.018
*Touchette, É., Petit, D., Séguin, J. R., Boivin, M., Tremblay, R. E., & Montplaisir, J. Y. (2007). Associations between sleep duration patterns and behavioral/cognitive functioning at school entry. Sleep, 30, 1213–1219. https://doi.org/10.1093/sleep/30.9.1213
Tsai, C. -J., Lee, C. T. -C., Liang, S. H. -Y., Tsai, P. -J., Chen, V. C. -H., & Gossop, M. (2018). Risk of ADHD after multiple exposures to general anesthesia: A nationwide retrospective cohort study. Journal of Attention Disorders, 22, 229–239. https://doi.org/10.1177/1087054715587094
*Tsai, F. J., Liu, S. T., Lee, C. M., Lee, W. T., Fan, P. C., Lin, W. S., Chiu, Y. N., & Gau, S. S. F. (2013a). ADHD-related symptoms, emotional/behavioral problems, and physical conditions in Taiwanese children with epilepsy. Journal of the Formosan Medical Association, 112, 396–405. https://doi.org/10.1016/j.jfma.2011.08.022
*Tsai, J. D., Chang, S. N., Mou, C. H., Sung, F. C., & Lue, K. H. (2013b). Association between atopic diseases and attention-deficit/hyperactivity disorder in childhood: A population-based case-control study. Annals of Epidemiology, 23, 185–188. https://doi.org/10.1016/j.annepidem.2012.12.015
Tulic, M. K., Hodder, M., Forsberg, A., McCarthy, S., Richman, T., D’Vaz, N., Van Den Biggelaar, A. H. J., Thornton, C. A., & Prescott, S. L. (2011). Differences in innate immune function between allergic and nonallergic children: New insights into immune ontogeny. Journal of Allergy and Clinical Immunology. https://doi.org/10.1016/j.jaci.2010.09.020
van der Schans, J., Çiçek, R., de Vries, T. W., Hak, E., & Hoekstra, P. J. (2017). Association of atopic diseases and attention-deficit/hyperactivity disorder: A systematic review and meta-analyses. Neuroscience and Biobehavioral Reviews, 74, 139–148. https://doi.org/10.1016/j.neubiorev.2017.01.011
Verlaet, A. A. J., Noriega, D. B., Hermans, N., & Savelkoul, H. F. J. (2014). Nutrition, immunological mechanisms and dietary immunomodulation in ADHD. European Child and Adolescent Psychiatry, 23, 519–529. https://doi.org/10.1007/s00787-014-0522-2
Wallis, D., Russell, H. F., & Muenke, M. (2008). Review: Genetics of attention deficit/hyperactivity disorder. Journal of Pediatric Psychology, 33, 1085–1099. https://doi.org/10.1093/jpepsy/jsn049
*Wang, B., Eastwood, P. R., Becker, A., Isensee, C., Wong, J. W. Y., Huang, R. C., Runions, K. C., Stewart, R. M., Meyer, T., Brüni, L. G., Rothenberger, A., & Zepf, F. D. (2019). Concurrent developmental course of sleep problems and emotional/behavioral problems in childhood and adolescence as reflected by the dysregulation profile. Sleep, 42, 1–12. https://doi.org/10.1093/sleep/zsy243
*Wang, H. -C., Lau, C. -I., Lin, C. -C., Chang, A., & Kao, C. -H. (2016). Group A Streptococcal infections are associated with increased risk of pediatric neuropsychiatric disorders. The Journal of Clinical Psychiatry, 77, e848–e854. https://doi.org/10.4088/JCP.14m09728
Weintraub, B. (2015). Upper respiratory tract infections. Pediatrics in Review, 36, 554–556. https://doi.org/10.1542/pir.36-12-554
Weiss, M. D., Craig, S. G., Davies, G., Schibuk, L., & Stein, M. (2015). New research on the complex interaction of sleep and ADHD. Current Sleep Medicine Reports, 1, 114–121. https://doi.org/10.1007/s40675-015-0018-8
*Wetherington, C. E., Hooper, S. R., Keenan, H. T., Nocera, M., & Runyan, D. (2010). Parent ratings of behavioral functioning after traumatic brain injury in very young children. Journal of Pediatric Psychology, 35, 662–671. https://doi.org/10.1093/jpepsy/jsp081
*Williams, K. E., & Sciberras, E. (2016). Sleep and self-regulation from birth to 7 years: A retrospective study of children with and without attention-deficit hyperactivity disorder at 8 to 9 years. Journal of Developmental and Behavioral Pediatrics, 37, 385–394. https://doi.org/10.1097/DBP.0000000000000281
*Williamson, R., Oueis, H., Casamassimo, P. S., & Thikkurissy, S. (2008). Association between early childhood caries and behavior as measured by the child behavior checklist. Pediatric Dentistry, 30, 505–509.
Wolraich, M. L., Hagan, J. F., Allan, C., Chan, E., Davison, D., Earls, M., Evans, S. W., Flinn, S. K., Froehlich, T., Frost, J., Holbrook, J. R., Lehmann, C. U., Lessin, H. R., Okechukwu, K., Pierce, K. L., Winner, J. D., & Zurhellen, W. (2019). Clinical practice guideline for the diagnosis, evaluation, and treatment of attention-deficit/hyperactivity disorder in children and adolescents. Pediatrics. https://doi.org/10.1542/peds.2019-2528
Yang, J., Comstock, R. D., Yi, H., Harvey, H. H., & Xun, P. (2017). New and recurrent concussions in high-school athletes before and after traumatic brain injury laws, 2005–2016. American Journal of Public Health, 107, 1916–1922. https://doi.org/10.2105/AJPH.2017.304056
*Yang, L. Y., Huang, C. C., Chiu, W. T., Huang, L. T., Lo, W. C., & Wang, J. Y. (2016). Association of traumatic brain injury in childhood and attention-deficit/hyperactivity disorder: A population-based study. Pediatric Research, 80, 356–362. https://doi.org/10.1038/pr.2016.85
*Yuksel, H., Sogut, A., & Yilmaz, O. (2008). Attention deficit and hyperactivity symptoms in children with asthma. Journal of Asthma, 45, 545–547. https://doi.org/10.1080/02770900801990016
*Zuckerman, B., Stevenson, J., & Bailey, V. (1987). Sleep problems in early childhood: Continuities, predictive factors, and behavioral correlates. Pediatrics, 80, 664–671.
Acknowledgements
We thank Lu (Mary) Meng, PhD, and Jaleal Sanjak, PhD, for support creating forest plots; and Katherine McGowan, BA, and Kayla Saadeh, MPH for support conducting literature searches. The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention (CDC).
Funding
The work presented here was completed through an Interagency agreement between the CDC and the General Service Administration (13-FED-1303304). The work was completed under GSA Order Number ID04130157 to Gryphon Scientific, LLC, titled “Identifying Public Health Strategies with Potential for Reducing Risk for Attention Deficit/Hyperactivity Disorder.” This project was also supported in part by an appointment to the Research Participation Program at the CDC, administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the U.S. Department of Energy and CDC.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethics Approval
Not applicable. This study includes analyses of data previously published in the literature.
Consent to Participate
Not applicable. This study includes analyses of data previously published in the literature.
Conflict of Interest
All authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Appendix 1
Appendix 1
Search terms used for meta-analytic review of childhood physical health risk factors for attention deficit/hyperactivity disorder (ADHD).
Component | Search terms |
---|---|
Attention deficit/hyperactivity disorder (ADHD) related terms | (((“attention deficit”) OR (“hyperactivity disorder*”) OR (“deficit hyperactiv*”) OR (“ADHD”) OR (“deficit disorder*”) OR (“minimal brain dysfunction”) OR (“minimal brain damage”) OR (“MBD”) OR (“brain injured child syndrome*”) OR (“hyperactive child syndrome*”) OR (“hyperactive syndrome*”) OR (“impulse disorder*”) OR (“hyperkinetic disease”) OR (“hyperkinetic syndrome*”) OR (“hyperkinetic reaction of childhood”)) OR ((“ADD” AND (disorder OR attention OR hyperactiv*))) OR ((“attention problem*”) OR (“inattenti*”) OR (“hyperactiv*”) OR (“hyperkines*”))) |
Child health terms | AND (((“nutrition*”) OR (“deficienc*”) OR (“iron”) OR (“ferritin”) OR (“transferrin”) OR (“anemia”) OR (“copper”) OR (“zinc”) OR (“magnesium”) OR (“polyunsaturated fatty acids”) OR (“fatty acid*”) OR (“folate”) OR (“nutritional surplus*”) OR (“fat”) OR (“sugar*”) OR (“sodium”) OR (“food additive*”) OR (“food color additive*”) OR (“food color*”) OR (“FD&C Yellow”) OR (“FD&C Red”) OR (“preservatives”) OR (“sodium benzoate”) OR (“diet”) OR (“IgG”) OR (“western diet”) OR (“malnutrition”) OR (“electronic*”) OR (“television”) OR (“TV”) OR (“video game*”) OR (“screen time”) OR (“sleep”) OR (“built environment”) OR (“nature”) OR (“green space”) OR (“physical activity”) OR (“exercise”) OR (“injury”) OR (“infection*”) OR (“bacteria*”) OR (“viral”) OR (“virus”) OR (“fungus”) OR (“fungal”) OR (“protozoa*”))) |
Rights and permissions
Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
So, M., Dziuban, E.J., Pedati, C.S. et al. Childhood Physical Health and Attention Deficit/Hyperactivity Disorder: A Systematic Review and Meta-Analysis of Modifiable Factors. Prev Sci 25 (Suppl 2), 316–336 (2024). https://doi.org/10.1007/s11121-022-01398-w
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11121-022-01398-w