Helene Nordahl1, Theis Lange, Merete Osler, Finn Diderichsen, Ingelise Andersen, Eva Prescott, Anne Tjønneland, Birgitte Lidegaard Frederiksen, Naja Hulvej Rod. 1. From the aDepartment of Public Health, Section of Social Medicine, University of Copenhagen, Copenhagen, Denmark; bDepartment of Public Health, Section of Biostatistics, University of Copenhagen, Copenhagen, Denmark; cResearch Center for Prevention and Health, Glostrup University Hospital, Glostrup, Denmark; dDepartment of Cardiology and the Copenhagen City Heart Study, Bispebjerg University Hospital, Copenhagen, Denmark; eDanish Cancer Society Research Center, Institute of Cancer Epidemiology, Copenhagen, Denmark; and fDanish Health and Medicines Authority, Medical Public Health Office, Copenhagen, Denmark.
Abstract
BACKGROUND: Differential exposures to behavioral risk factors have been shown to play an important mediating role on the education-mortality relation. However, little is known about the extent to which educational attainment interacts with health behavior, possibly through differential vulnerability. METHODS: In a cohort study of 76,294 participants 30 to 70 years of age, we estimated educational differences in cause-specific mortality from 1980 through 2009 and the mediating role of behavioral risk factors (smoking, alcohol intake, physical activity, and body mass index). With the use of marginal structural models and three-way effect decomposition, we simultaneously regarded the behavioral risk factors as intermediates and clarified the role of their interaction with educational exposure. RESULTS: Rate differences in mortality comparing participants with low to high education were 1,277 (95% confidence interval = 1,062 to 1,492) per 100,000 person-years for men and 746 (598 to 894) per 100,000 person-years for women. Smoking was the strongest mediator for cardiovascular disease, cancer, and respiratory disease mortality when conditioning on sex, age, and cohort. The proportion mediated through smoking was most pronounced in cancer mortality as a combination of the pure indirect effect, owing to differential exposure (men, 42% [25% to 75%]; women, 36% [17% to 74%]) and the mediated interactive effect, owing to differential vulnerability (men, 18% [2% to 35%], women, 26% [8% to 50%]). The mediating effects through body mass index, alcohol intake, or physical activity were partial and varied for the causes of deaths. CONCLUSION: Differential exposure and vulnerability should be addressed simultaneously, as these mechanisms are not mutually exclusive and may operate at the same time.
BACKGROUND: Differential exposures to behavioral risk factors have been shown to play an important mediating role on the education-mortality relation. However, little is known about the extent to which educational attainment interacts with health behavior, possibly through differential vulnerability. METHODS: In a cohort study of 76,294 participants 30 to 70 years of age, we estimated educational differences in cause-specific mortality from 1980 through 2009 and the mediating role of behavioral risk factors (smoking, alcohol intake, physical activity, and body mass index). With the use of marginal structural models and three-way effect decomposition, we simultaneously regarded the behavioral risk factors as intermediates and clarified the role of their interaction with educational exposure. RESULTS: Rate differences in mortality comparing participants with low to high education were 1,277 (95% confidence interval = 1,062 to 1,492) per 100,000 person-years for men and 746 (598 to 894) per 100,000 person-years for women. Smoking was the strongest mediator for cardiovascular disease, cancer, and respiratory disease mortality when conditioning on sex, age, and cohort. The proportion mediated through smoking was most pronounced in cancer mortality as a combination of the pure indirect effect, owing to differential exposure (men, 42% [25% to 75%]; women, 36% [17% to 74%]) and the mediated interactive effect, owing to differential vulnerability (men, 18% [2% to 35%], women, 26% [8% to 50%]). The mediating effects through body mass index, alcohol intake, or physical activity were partial and varied for the causes of deaths. CONCLUSION: Differential exposure and vulnerability should be addressed simultaneously, as these mechanisms are not mutually exclusive and may operate at the same time.
Authors: Mustafa Hussein; Ana V Diez Roux; Mahasin S Mujahid; Theresa A Hastert; Kiarri N Kershaw; Alain G Bertoni; Ana Baylin Journal: Am J Epidemiol Date: 2018-07-01 Impact factor: 4.897
Authors: Riccardo E Marioni; Stuart J Ritchie; Peter K Joshi; Saskia P Hagenaars; Aysu Okbay; Krista Fischer; Mark J Adams; W David Hill; Gail Davies; Reka Nagy; Carmen Amador; Kristi Läll; Andres Metspalu; David C Liewald; Archie Campbell; James F Wilson; Caroline Hayward; Tõnu Esko; David J Porteous; Catharine R Gale; Ian J Deary Journal: Proc Natl Acad Sci U S A Date: 2016-10-31 Impact factor: 11.205
Authors: Priscila Corraini; Victor W Henderson; Anne G Ording; Lars Pedersen; Erzsébet Horváth-Puhó; Henrik T Sørensen Journal: Stroke Date: 2016-11-29 Impact factor: 7.914
Authors: Dan Lewer; Martin McKee; Antonio Gasparrini; Aaron Reeves; Cesar de Oliveira Journal: Eur J Public Health Date: 2017-12-01 Impact factor: 3.367
Authors: Kosuke Inoue; Elizabeth R Mayeda; Kimberly C Paul; I-Fan Shih; Qi Yan; Yu Yu; Mary Haan; Beate R Ritz Journal: Am J Epidemiol Date: 2020-10-01 Impact factor: 4.897