Life Sciences & Biomedicine Public, Environmental & Occupational Health Science & Technology
PURPOSE: Education is inversely associated with coronary heart disease (CHD); however whether this is attributable to causal effects of schooling rather than potential confounders existing before school entry (eg, childhood intelligence, childhood economic circumstances, childhood chronic illness, parental mental health) remains unknown. We evaluated whether education is associated with 10-year CHD risk independent of 21 prospectively assessed childhood conditions, in participants ages 38-47 years.
METHODS: Using linear regression analyses, we evaluated associations of education with 10-year CL-ID risk, the latter calculated by use of the validated Framingham risk algorithm incorporating diabetes, blood pressure, total and high-density lipoprotein cholesterol, smoking, age, and sex. Propensity score matching incorporated 21 early-life potential confounders.
RESULTS: Regression analyses demonstrated college graduation was associated with -27.9% lower (95% CI, -36.2, -18.6%) 10-year CHD risk compared with <= high school after matching on propensity score that included age, sex and race (n = 272); addition of 21 early life potential confounders resulted in effect size of -13.1% (95% CI, -33.4, 13.4; mean n = 110).
CONCLUSIONS: Participants with college degree had substantially lower risk of CHD (27.9%) after accounting for demographics; the addition of early life potential confounders resulted in a moderate effect size (13.1%), suggesting potential importance of early life factors in explaining observed associations between education and CHD risk. Ann Epidemiol 2012;22:221-232. (C) 2012 Elsevier Inc. All rights reserved.
Education and Coronary Heart Disease Risk Associations May be Affected by Early-Life Common Prior Causes: A Propensity Matching Analysis
Creators
Eric B. Loucks - Brown University
Stephen L. Buka - Brown University
Michelle L. Rogers - Brown University
Tao Liu - Brown University
Ichiro Kawachi - Harvard University
Laura D. Kubzansky - Harvard University
Laurie T. Martin - RAND Corp, Arlington, VA USA
Stephen E. Gilman - Harvard University
Publication Details
Annals of epidemiology, v 22(4), 221
Publisher
Elsevier
Number of pages
12
Grant note
1R01AG023397; 1RC2AG036666 / NIH/NIA; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
Resource Type
Journal article
Language
English
Academic Unit
Information Science
Web of Science ID
WOS:000302510100001
Scopus ID
2-s2.0-84858995086
Other Identifier
991021786594504721
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