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The contribution of health behaviors to depression risk across birth cohorts

Authors :
Gültzow, Maria
Bijlsma, Maarten J.
van Lenthe, Frank J.
Myrskylä, Mikko
Population Research Unit (PRU)
Faculty Common Matters (Faculty of Social Sciences)
Centre for Social Data Science, CSDS
Center for Population, Health and Society
Publication Year :
2021
Publisher :
Max Planck Institute for Demographic Research, 2021.

Abstract

Background: More recent birth cohorts are at a higher depression risk than cohorts born in the early twentieth century. We aimed to investigate to what extent changes in alcohol consumption, smoking, physical activity and obesity, contribute to these birth cohort variations. Methods: We analyzed panel data from US adults born 1916-1966 enrolled in the Health and Retirement Study (N=163,760 person-years). We performed a counterfactual decomposition analysis by combining age-period-cohort models with g-computation. This allowed us to compare the predicted probability of elevated depressive symptoms (CES-D 8 score ≥3) in the natural course to a counterfactual scenario where all birth cohorts had the health behavior of the 1945 birth cohort. We stratified analyses by sex and race/ethnicity. Results: Depression risk of the 1916-1949 and 1950-1966 birth cohort would be on average 2% (-2.3 to -1.7) and 0.5% (-0.9 to -0.1) higher had they had the alcohol consumption levels of the 1945 cohort. In the counterfactual with the 1945 BMI distribution, depression risk is on average 2.1% (1.8 to 2.4) higher for the 1916-1940 cohorts and 1.8% (-2.2 to -1.5) lower for the 1950-1966 cohorts. We find no cohort variations in depression risk for smoking and physical activity. The contribution of alcohol is more pronounced for Whites than for other race/ethnicity groups, and the contribution of BMI more pronounced for women than for men. Conclusion: Increased obesity levels exacerbated depression risk in recent birth cohorts in the US, while drinking patterns only played a minor role.

Subjects

Subjects :
5141 Sociology

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.od......1593..013a787f1bb13f7937e9467729603ea8