ArticleBiodemography and social biology2017
The Contribution of Weight Status to Black-White Differences in Mortality.
Article in Biodemography and social biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Pre-COVID-19 Geographic Inequalities in Non-Hispanic Black US Life Expectancy, 1990 to 2019.Population and development review · 2025Article
- Economic Disadvantage During Childhood, Obesity, and Diabetes Across Three Birth Cohorts of Older Mexicans.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024Article
- Article
- Contributions of obesity and cigarette smoking to incident disability: A longitudinal analysis.Preventive medicine · 2020Article
- Beyond recent BMI: BMI exposure metrics and their relationship to health.SSM - population health · 2020Article
- Excess body weight, cigarette smoking, and type II diabetes incidence in the national FINRISK studies.Annals of epidemiology · 2020Article
- The contribution of differences in adiposity to educational disparities in mortality in the United States.Demographic research · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This article examines the contribution of weight status to black-white (B-W) differences in mortality at ages 40-79 using data from the National Health and Nutrition Examination Survey. We measured body mass index (BMI) based on the highest BMI attained and contrasted the contribution of BMI to that of smoking and educational attainment. We estimated both additive and multiplicative models. In addition to estimating regression coefficients we asked what would happen to B-W differences in mortality if blacks had the BMI distribution of whites, the smoking prevalence of whites, or the educational distribution of whites. B-W differences in BMI account for close to 30 percent of the B-W difference in female mortality but only about 1 percent of the B-W difference in male mortality at ages 40-79. In contrast, smoking makes a much larger contribution to the B-W difference in male (17 percent) than female (6 percent) mortality. Differences in educational attainment in turn explain 19 to 25 percent of the B-W mortality difference among men and women, respectively. Our results underscore the importance of two key risk factors as well as educational attainment in generating B-W differences in mortality.
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Registered trials
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