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Research Article
Originally Published 2 March 2016
Free Access

Alcohol and Immediate Risk of Cardiovascular Events: A Systematic Review and Dose–Response Meta-Analysis

Abstract

Background—

Although considerable research describes the cardiovascular effects of habitual moderate and heavy alcohol consumption, the immediate risks following alcohol intake have not been well characterized. Based on its physiological effects, alcohol may have markedly different effects on immediate and long-term risk.

Methods and Results—

We searched CINAHL, Embase, and PubMed from inception to March 12, 2015, supplemented with manual screening for observational studies assessing the association between alcohol intake and cardiovascular events in the following hours and days. We calculated pooled relative risks and 95% confidence intervals for the association between alcohol intake and myocardial infarction, ischemic stroke, and hemorrhagic stroke using DerSimonian and Laird random-effects models to model any alcohol intake or dose–response relationships of alcohol intake and cardiovascular events. Among 1056 citations and 37 full-text articles reviewed, 23 studies (29 457 participants) were included. Moderate alcohol consumption was associated with an immediately higher cardiovascular risk that was attenuated after 24 hours, and even protective for myocardial infarction and hemorrhagic stroke (≈2–4 drinks: relative risk=30% lower risk) and protective against ischemic stroke within 1 week (≈6 drinks: 19% lower risk). In contrast, heavy alcohol drinking was associated with higher cardiovascular risk in the following day (≈6–9 drinks: relative risk=1.3–2.3) and week (≈19–30 drinks: relative risk=2.25–6.2).

Conclusions—

There appears to be a consistent finding of an immediately higher cardiovascular risk following any alcohol consumption, but, by 24 hours, only heavy alcohol intake conferred continued risk.

Introduction

It is well-recognized that moderate alcohol intake has long-term cardiovascular benefits, but even protective exposures can lead to acutely increased risk. Alcohol has biphasic and complex physiological effects that result in both higher and lower cardiovascular risk depending on the amount consumed, drinking frequency, and the outcome under study.1,2 For instance, moderate and high alcohol intake is associated with increased heart rate,3 electromechanical delay,4 and impaired fibrinolysis5 within hours of intake, but there are long-term improvements in blood pressure6 and coagulation.7 In addition, the risk of cardiovascular events triggered by alcohol may be modified by usual drinking patterns.1 There has been no comprehensive study to investigate the acute cardiovascular risk following alcohol intake. Therefore, we conducted a systematic review and dose–response meta-analysis of the evidence on the risk of myocardial infarction (MI), ischemic stroke (IS), and hemorrhagic stroke (HS) in the hours and days after alcohol intake. The primary hypothesis defined before initiation of the literature review was that, in comparison with no alcohol consumption, moderate alcohol consumption is associated with an immediately higher risk of cardiovascular events that becomes protective after 24 hours, whereas heavy alcohol drinking is associated with higher cardiovascular risk both immediately and in the following days.
Clinical Perspective on p 987

Methods

We performed a systematic review, meta-analysis, and dose–response meta-analysis in accordance with the Meta-Analysis of Observational Studies in Epidemiology8 protocol throughout the design, implementation, analysis, and reporting for this study.

Data Sources and Searches

One person (Dr Mostofsky) performed a literature search of the CINAHL, Embase, and PubMed databases from January 1966 through March 2015 by using free-text words and Medical Subject Headings terms without language restrictions. We also reviewed the reference lists of retrieved articles.

Study Selection

Using a standardized form, 2 readers (Dr Mostofsky and Mr Chahal) independently and in duplicate reviewed the list of identified articles and extracted data from selected articles with disagreements adjudicated by consensus. We selected studies with abstracts suggesting they were relevant. Studies were eligible for review if: (1) the design was a cohort, case-control, self-controlled case series or case-crossover study; (2) the investigators reported relative risks (RRs) and 95% confidence intervals (CIs) for the association between alcohol intake and MI, IS, or HS; (3) the investigators retrospectively evaluated alcohol intake directly from the participant or by proxy for the 1-week period before event onset. We excluded studies that evaluated the impact of laboratory-administered alcohol on myocardial ischemia, arrhythmia, atrial fibrillation, or intermediate outcomes such as blood pressure or cardiovascular reactivity.

Data Extraction and Quality Assessment

For each study, we recorded the following details: first author, year of publication, study location, hazard period, referent period or sample, number of cases and noncases at each level of alcohol intake, amount of alcohol consumed before event onset, RRs and corresponding 95% CIs, and covariates included in statistical models. When analyses of the same population were reported more than once, we included the largest study for the appropriate analysis. In case-control studies, cases and noncases were interviewed about recent alcohol consumption, and potential confounding by between-person differences were addressed with matching and statistical adjustment. In case-crossover studies, each case was interviewed about recent alcohol intake and that same individual’s alcohol intake at other times. By comparing the same individual at different times, confounding by fixed characteristics is eliminated. When case-crossover studies reported estimates using either a referent of usual frequency of alcohol intake over several months or a referent of intake at the same time on the previous day, we included the estimates based on usual frequency. When studies reported estimates from several models, we included the estimates from the model with the greatest control for potential confounding. We also recorded information on whether the study was restricted to incident events, whether both fatal and nonfatal events were included, and whether the study was restricted to current drinkers.
We qualitatively assessed study quality by recording the timing between the onset of the cardiovascular event and ascertainment of alcohol intake, whether alcohol intake was assessed with an interview or questionnaire and whether proxy respondents provided information on alcohol intake.

Data Synthesis and Analysis

Details of the meta-analysis methods are provided in the online-only Data Supplement Appendix and are summarized briefly here.

Meta-Analysis of Any Alcohol Intake

For each outcome and hazard period, we included 1 RR and corresponding 95% CI per study reporting the change in cardiovascular risk immediately following any alcohol intake in comparison with no alcohol intake. For studies that did not report an overall RR, we first pooled the RRs across sex and levels of alcohol consumption by using a random-effects model. We used DerSimonian and Laird9 random-effects models to pool the RRs across studies for each outcome and each hazard period.

Dose–Response Meta-Analysis

To examine the impact of the amount of alcohol consumed prior to event onset, we conducted a dose–response meta-analysis for each outcome and the risk in the day and week following intake. For each study, we assigned the median or mean grams of alcohol intake for each exposure level to the corresponding RR. To examine potential nonlinear relationships between alcohol intake and cardiovascular risk, we performed 2-stage random-effects dose–response meta-analyses.10 We estimated the predicted relative risk by comparing specific levels of alcohol intake with no alcohol intake based on the linear or model or spline transformation, as appropriate.
For the analyses of any intake and the dose–response analyses, we evaluated heterogeneity across studies with the Cochrane Q χ2 test11 and we calculated the I2 statistic to quantify the proportion of between-study heterogeneity attributable to variability in the association rather than sampling variation.12
Statistical analyses were conducted with 2-tailed α set at ≤0.05 for statistical significance. We used Stata (version 13.0, StataCorp, College Station, TX) packages to conduct the meta-analyses of any alcohol intake (metan), dose–response analyses (glst), and evaluation of potential publication bias (metabias) and information bias (metainf).

Results

The literature search identified 1056 publications. We excluded 411 duplicates, and 623 articles were excluded after review of the title or abstract. An additional 15 articles were identified from manual searches and review of bibliographies of relevant studies. After reviewing the articles, another 14 articles were excluded, resulting in a meta-analysis of 23 articles (Figure 1). The Table in the online-only Data Supplement summarizes the characteristics of the eligible studies. The meta-analysis included 16 case-control and 7 case-crossover studies published from 1987 to 2015. Combined, there were 29 457 participants including 17 966 cases of MI, 2599 cases of IS, and 1262 cases of HS. Eleven studies were conducted in Europe, 1 in Russia, 4 in the United States, 2 in New Zealand, and 4 in Australia; 1 study included participants from 52 countries worldwide. Two studies included men only, one included women only, and the remaining 20 studies enrolled men and women, but only 6 presented sex-specific estimates, with one reporting an infinite RR for women, so we included the estimate combining all participants. Fourteen studies were restricted to incident events. Alcohol consumption was assessed with a questionnaire in 3 studies and with interviews in all others. In 10 studies, the estimated median alcohol consumption in the highest category was >4 drinks per day for men and women combined or for men but not women.
Figure 1. Selection of studies published from 1966 to 2015 with information on any recent alcohol intake or a specific dose of recent alcohol intake included in a meta-analysis of alcohol consumption and risk of cardiovascular events. *One study included data on myocardial infarction and hemorrhagic stroke, and 1 study included data on ischemic stroke and hemorrhagic stroke. RR indicates relative risk.
Figure 2 presents a forest plot of RRs and 95% CIs and heterogeneity statistics for analyses of any alcohol intake, Figure 3 presents a forest plot of dose-specific data with RRs and 95% CIs in Figure I in the online-only Data Supplement, and Figure 4 presents splines, heterogeneity statistics, and P values for the dose–response analyses.
Figure 2. Forest plot of relative risks (RRs) and 95% confidence intervals (CIs) for the association between any alcohol consumption relative to no drinking. Squares indicate study-specific RR estimates, with the size of the square reflecting the proportion of the DerSimonian and Laird weights under study; horizontal lines indicate the 95% CI; diamonds indicate the pooled RRs with their 95% CI from a random-effects model. The dotted line indicates the value for no association. *Also included in dose–response meta-analysis. MI indicates myocardial infarction.
Figure 3. Forest plot of relative risks (RRs) and 95% confidence intervals (CIs) for the association between alcohol consumption and cardiovascular events in the following day and week by amount of alcohol intake. Squares indicate study-specific RR estimates, with the size of the square reflecting the proportion of the DerSimonian and Laird weights under study; horizontal lines indicate the 95% CI. The dotted line indicates the value for no association. MI indicates myocardial infarction.
Figure 4. Relative risk (solid line) and 95% confidence interval (dashed lines) for the association between grams of alcohol and risk of cardiovascular events within 24 hours. Alcohol consumption was modeled with restricted cubic splines in a random-effects dose–response model. The lowest value of zero (nondrinkers) was used to estimate all relative risks. The vertical axis is on a log scale. The dotted line indicates the value for no association.

Myocardial Infarction

One study13 reported a higher risk of sudden cardiac death within 2 hours after alcohol consumption (RR, 3.00; 95% CI, 1.61–5.68), but we did not include this estimate in our analyses because the cause of death may have been attributable to cardiomyopathy or arrhythmias. Five case-crossover1418 and 4 case-control studies1922 evaluated the association between alcohol intake and the immediate risk of MI or major coronary event.20 There was a higher MI risk in the hour after alcohol intake than at other times and a modestly lower risk after 24 hours. Two studies assessed MI risk within 1 week among men, with one21 reporting a lower MI risk (RR, 0.25; 95% CI, 0.13–0.50) after ≈18 g of alcohol in the past week and the other22 reporting higher risk of death from ischemic heart disease or MI after heavy alcohol intoxication for ≥2 days when the person is withdrawn from normal social life (RR, 3.57; 95% CI, 1.65–7.73).
When accounting for the amount of alcohol consumed in the 24 hours before MI onset, there was a U-shaped association (Pcurve<0.001) between alcohol intake and MI risk, with the greatest benefit following ≈28 g of alcohol (≈2 drinks) in 1 day (RR, 0.67) and a higher risk following ≈108 g (≈9 drinks) in 1 day (RR, 1.59). Within a week following alcohol consumption, there was a lower risk of MI with moderate alcohol intake but a higher risk following heavy alcohol consumption.
There was no indication of small-study effects for studies of MI risk in the day (Egger P=0.18) and week (Egger P=0.86) following alcohol consumption. Results were similar in sensitivity analyses excluding 1 estimate at a time.

Ischemic Stroke

One case-crossover23 and 8 case-control studies2431 examined the association between alcohol intake and the immediate risk of IS. One study27 with RRs by level of alcohol intake could not be included in the dose–response meta-analysis because information on the sample size at each level of consumption was not reported. There was evidence of a higher IS risk within an hour of any alcohol intake, and a suggestion of protective benefits thereafter, although the results were inconsistent.
In the dose–response analysis, there was a higher IS risk with higher alcohol intake in the preceding day, although this linear association was only based on 2 studies with dose information. There was a U-shaped association (Pcurve=0.007) for risk in the following week. In comparison with no alcohol consumption, there was a 19% lower risk of IS in the week following ≈75 g of alcohol (≈6 drinks/wk) but a 2.25-fold higher IS risk in the week following 225 g (≈19 drinks) that continues to climb with higher amounts of alcohol consumption. The dose–response association was apparent for both men and for women. There was no indication of publication bias (Egger P=0.39). In sensitivity analyses excluding 1 study at a time, the RR for IS within 1 day was lower (RR, 0.82; 95% CI, 0.66–1.01) when we removed 1 study’s results29 and higher (RR, 1.08; 95% CI, 0.74–1.60) when we removed the estimate from another study,18 but a similar sensitivity analysis had no impact on the RR for IS risk within a week.
In sensitivity analyses, we included estimates from case-control studies that did not account for confounders.24,32,33 The estimated risk in 24 hours was similar to the preliminary analysis. Five studies26,32,3436 enrolled cases with either IS or HS, but after restricting the analyses to studies that accounted for potential confounders and at least some exposed cases and controls, only 1 study26 with a combined end point was included. Because the study was composed of 81 cases of IS and only 9 cases of HS, the RR was included in the analysis of IS risk; results were similar when this estimate was excluded.

Hemorrhagic Stroke

One case-crossover37 and 6 case-control studies22,27,3841 examined the immediate risk of HS following alcohol intake, with most studies reporting a higher risk within a day or a week after any consumption.
In the dose–response meta-analysis, there was a U-shaped association (Pcurve=0.02) between alcohol consumption and HS risk after 24 hours. In comparison with no intake, consumption of 48 g (≈4 drinks) was associated with a 38% lower HS risk, whereas drinking 81 g (≈7 drinks) was associated with a 1.26-fold higher HS risk in the following day. This association was apparent for both men and women. There was a linear association for HS risk within a week of alcohol consumption, with no evidence of protective benefits.
There was no indication of publication bias for studies of HS risk in the day (Egger P=0.25) and week (Egger’s P=0.19) following any alcohol intake. Results were similar in sensitivity analyses excluding 1 estimate at a time.

Discussion

In this systematic review and meta-analysis, moderate alcohol consumption was associated with an immediately higher risk of cardiovascular events, but, after 24 hours, there was a lower risk of MI and HS and, after 1 week, there was a lower risk of IS, consistent with previous research showing cardiovascular benefits of habitual intake. Heavy alcohol drinking was associated with higher cardiovascular risk in the following hours and days.
Immediately following alcohol intake, there are both harmful and protective physiological responses.7 Within 1 to 3 hours, a single dose of alcohol increases heart rate,3 interarterial electromechanical delay,4 and plasminogen activator inhibitor levels,5 but by 12 to 24 hours, an alcohol dose consistent with 2 alcoholic beverages causes transient improvements in flow-mediated vasodilatation, endothelial function,7 and fibrinolytic factors.5
Within weeks of regular intake, there are improvements in inflammatory markers, lipid profile, and adipokines and insulin sensitivity.7 Habitual moderate alcohol consumption (1–2 drinks per day) is associated with improvements in high-density lipoprotein cholesterol, heart rate variability,42 endothelial function, insulin sensitivity, coagulation and fibrinolytic cascades,7 and a lower risk of cardiovascular disease and IS and HS.43 However, heavy drinking (3 to ≥4 drinks per day) is associated with a higher risk of hypertension,6 diabetes mellitus, cardiovascular disease, IS and HS, and mortality after MI.4345 Usual drinking habits may modify the acute physiological response to alcohol. Therefore, the 2015 Dietary Guidelines Advisory Committee recommended that, if alcohol is consumed, it should be consumed in moderation—up to 1 drink per day for women and 2 drinks per day for men.46 The results of this meta-analysis show that there may also be an immediate risk of cardiovascular events even if moderate habitual consumption yields cardioprotective benefits.
Our dose–response analysis suggests that after 24 hours, moderate drinkers may experience a lower risk of a cardiovascular event in comparison with other times, whereas heavy drinking is associated with a higher risk even after 24 hours. This is supported by previous work showing that the health effects of alcohol intake depend on both the amount and the pattern of consumption. Heavy episodic drinking, defined as ≥4 alcoholic beverages within 1 to 2 hours, has harmful effects, even if individuals who binge only drink 1 or 2 days per week, resulting in the same average alcohol intake per week that is known to yield cardioprotective benefits. Among men, drinking a small amount of alcohol regularly (eg, 1–2 drinks/d, 4 days/wk) lowers cardiovascular risk more than drinking the same total weekly amount but on fewer days per week.1 Therefore, it is possible that over time, individuals who frequently drink small amounts of alcohol may experience a temporarily heightened risk, but this may be offset in part by the subsequent protective benefits in the hours after consumption, whereas consuming large amounts of alcohol at once may result in a sharply higher immediate risk, and consuming large amounts of alcohol in repeated bouts may result in a higher long-term risk, as well. The results of studies examining a 1-week risk period are unclear because most studies did not provide information on the pattern of drinking in the week before the event; it is possible that some people only drank early in the previous week, some only drank immediately before the event, and some drank alcohol on several occasions in the previous week. However, 1 case-control study31 reported that among women who drank alcohol in the past week, those who drank in the past 24 hours had a lower risk of stroke than never drinkers, and the risk was even lower for women who did not drink in the past 24 hours. This supports our hypothesis that there may be protective benefits in the 24 hours after moderate alcohol intake, and perhaps the benefits are even greater in the following days.
The immediate impact of alcohol consumption may be influenced by usual alcohol intake. One study18 noted that the higher MI risk in the hour following alcohol consumption was not apparent for daily drinkers. This may be attributable to alcohol tolerance whereby habitual intake leads to upregulation of enzymes that metabolize alcohol, resulting in a lower physiological response to each drink.47 Although case-crossover studies are restricted to current drinkers by design because only cases reporting alcohol in the past year contribute information, only 2 case-control studies10,11 conducted analyses restricted to current drinkers and 6 studies19,20,28,29,31,39 adjusted for usual intake. In the remaining studies, some of the former drinkers may have stopped drinking alcohol because of illness, previous alcohol abuse, or prescription medications that cannot be taken with alcohol, which would overestimate the health benefits of alcohol intake.48 It is possible that some people abstained from alcohol in response to prodromal symptoms before clinical onset of the cardiovascular event, resulting in an underestimate of recent intake and a biased estimate. However, the results were similar in studies18,23 that used symptom onset rather than hospital admission time to define event onset and when they conducted sensitivity analyses restricted to cases with no preclinical symptoms. In 1 study,49 the results were weaker but still evident after accounting for prodromal symptoms.
Habitual moderate alcohol consumption is associated with lower risk of heart disease in both sexes, but the amount of alcohol associated with cardiovascular benefits is lower among women than among men. Only some of the studies reported results separately for men and for women, so we could not statistically evaluate whether sex modifies the magnitude or timing of heightened acute risk, but higher cardiovascular risk following higher levels of alcohol intake was apparent for both men and women. There were no studies that examined whether the immediate risk following alcohol intake was modified by medical history, but, in studies of habitual alcohol consumption, the benefits of moderate intake were similar for people with existing cardiovascular disease or diabetes mellitus and those in the general population.45
Previous studies have reported racial/ethnic differences in the magnitude of the association between habitual alcohol consumption and risk of cardiovascular events17,50 that may involve ethnic variations in the prevalence of genetic polymorphisms related to alcohol metabolism,51 cultural differences in past drinking, current drinking patterns, and associations between drinking patterns and other health risk factors and health problems.52 Future studies are needed to evaluate whether there is any racial/ethnic variation in the acute effects of alcohol intake on cardiovascular risk, and whether genetic differences may play a role.
Only 5 studies18,23,31,37,40 examined the association by drink type, so we could not evaluate whether the risk differs for wine, beer, or liquor consumption. In case-crossover studies of alcohol types and the acute risk of MI18 and IS,23 there was a suggestion that the acutely elevated risk in the hour after alcohol consumption was stronger for liquor than for beer or wine, and the protective association by 24 hours was apparent for beer and wine but not for liquor. Other studies have reported that within 24 hours of intake, individuals drinking wine were protected from intracerebral hemorrhage (ICH) and there was also a lower risk of ICH for those who recently consumed liquor, but there was little association between either beer or fortified beverages and ICH,40 whereas another study reported similar risk of ICH by beverage type for the risk of ICH.37 However, none of the studies simultaneously evaluated beverage type and drinking patterns. Furthermore, previous studies have shown that all alcohol types have similar effects on high-density lipoprotein cholesterol and other biological markers of cardiovascular risk. Therefore, differences in the magnitude of the association between different alcohol types and cardiovascular outcomes are more likely to result from differences in lifestyle and the frequency and amount of alcohol intake rather than from different physiological effects of a specific beverage type.1,7,31
Some studies did not report enough details to be included in our dose–response meta-analysis, and none of the studies provided information on heavy episodic drinking, defined as 4 drinks for women and 5 drinks for men consumed within about 2 hours.53 However, our results suggest that moderate alcohol consumption is associated with an immediately higher risk of cardiovascular events that is attenuated by 24 hours, whereas heavy alcohol drinking remains harmful.
We evaluated the influence of the timing and amount of alcohol on cardiovascular risk, but we could not address sources of bias in the original studies. However, although residual and unmeasured confounding cannot be ruled out, most of the case-control studies accounted for many confounders and the self-matching in case-crossover studies eliminates confounding by slowly varying characteristics. All the included studies obtained information on alcohol intake after the cardiovascular event occurred, and alcohol intake may have been differentially misreported for cases and controls or in the case-crossover studies, for recent intake in comparison with usual intake. If recent alcohol intake impacted the cases’ ability or willingness to participate in the study, selection bias may have led to incorrect estimates, but many studies used proxy respondents when the case could not provide information. Finally, we did not identify any unpublished studies and we cannot exclude the possibility that publication bias may have affected our results, but we found no evidence of such bias. There was no evidence of small study effects but tests for funnel plot asymmetry are not recommended when there are <10 studies. For some of the analyses, we observed between-study heterogeneity and the results were slightly but not meaningfully altered when removing a single study, although the magnitude of the change was also impacted by the amount of alcohol. Although it may be tempting to infer that the heterogeneity in the magnitude of the association between different cardiovascular events is attributable to different biological mechanisms linking alcohol and the outcome of interest, it may also be at least partially attributable to differences in the baseline risk and drinking patterns of the populations under study. Despite these limitations, this study is the first attempt to understand comprehensively the interplay between dose and timing of alcohol intake and the immediate risks and benefits on both MI and stroke.
In summary, our results suggest that alcohol intake is associated with an immediately higher risk of cardiovascular events, but after 24 hours, there is a lower risk of MI and HS, and, within 1 week, there is a lower risk of IS, whereas heavy drinking continues to confer higher risk even after 24 hours.

CLINICAL PERSPECTIVE

There is consistent evidence that habitual moderate consumption is associated with a lower risk of coronary heart disease, whereas heavy alcohol consumption may be harmful. However, the acute risks following alcohol intake have not been well characterized. Based on its physiological effects, alcohol may have markedly different effects on immediate and long-term risk. Therefore, we conducted a systematic review and meta-analysis of observational studies that evaluated the association between alcohol intake and myocardial infarction, ischemic stroke, and hemorrhagic stroke in the following hours and days. Based on data from 23 full-text articles (29 457 participants), moderate alcohol consumption was associated with an immediately higher cardiovascular risk that was attenuated after 24 hours, and even protective for myocardial infarction and hemorrhagic stroke, and protective against ischemic stroke within 1 week. In contrast, heavy alcohol drinking was associated with higher cardiovascular risk in the following day and week.

Supplemental Material

File (019743_supplemental_material.pdf)
File (mostofsky_979.pdf)

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Circulation
Pages: 979 - 987
PubMed: 26936862

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History

Received: 2 October 2015
Accepted: 19 January 2016
Published online: 2 March 2016
Published in print: 8 March 2016

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Keywords

  1. alcohol drinking
  2. cardiovascular diseases
  3. dose-response relationship, drug
  4. epidemiology
  5. meta-analysis

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Affiliations

Elizabeth Mostofsky, ScD
From Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.M., H.S.C., M.A.M.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (E.M., E.B.R., M.A.M.); Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada (H.S.C.); Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA (K.J.M.); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
Harpreet S. Chahal, BMSc
From Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.M., H.S.C., M.A.M.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (E.M., E.B.R., M.A.M.); Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada (H.S.C.); Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA (K.J.M.); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
Kenneth J. Mukamal, MD, MPH
From Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.M., H.S.C., M.A.M.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (E.M., E.B.R., M.A.M.); Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada (H.S.C.); Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA (K.J.M.); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
Eric B. Rimm, ScD
From Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.M., H.S.C., M.A.M.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (E.M., E.B.R., M.A.M.); Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada (H.S.C.); Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA (K.J.M.); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).
Murray A. Mittleman, MD, DrPH
From Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA (E.M., H.S.C., M.A.M.); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA (E.M., E.B.R., M.A.M.); Department of Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada (H.S.C.); Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, MA (K.J.M.); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA (E.B.R.); and Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA (E.B.R.).

Notes

Guest Editor for this article was Mercedes R. Carnethon, PhD.
The online-only Data Supplement is available with this article at http://circ.ahajournals.org/lookup/suppl/doi:10.1161/CIRCULATIONAHA.115.019743/-/DC1.
Correspondence to Elizabeth Mostofsky, ScD, Harvard T.H. Chan School of Public Health, Kresge Bldg Rm 505B, 677 Huntington Ave, Boston MA 02115. E-mail [email protected]

Disclosures

None.

Sources of Funding

Dr Mostofsky received support from the a National Institutes of Health (grant L30-HL115623-02) and a KL2/Catalyst Medical Research Investigator Training award (an appointed KL2 award) from Harvard Catalyst/The Harvard Clinical and Translational Science Center (National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health Award KL2 TR001100). The content is solely the responsibility of the authors and does not necessarily represent the official views of the European Research Council, Harvard Catalyst, Harvard University and its affiliated academic healthcare centers, or the National Institutes of Health. Mr. Chahal received support from the Frederick Banting and Charles Best Canada Graduate Scholarship and the Michael Smith Foreign Study Supplement from the Canadian Institutes of Health Research. No funding organization had any role in the design and conduct of the study; collection; management, analysis and interpretation of the data; and preparation of the manuscript.

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