ArticleSocial science & medicine (1982)2016
Why are well-educated Muscovites more likely to survive? Understanding the biological pathways.
Article in Social science & medicine (1982), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed, 13 citations in OpenAlex.
- Socioeconomic inequalities in physiological risk biomarkers and the role of lifestyles among Russians aged 35-69 years.International journal for equity in health · 2022Article
- Prevalence, correlates, and mortality impacts of ventricular arrhythmia among older men and women: a population-based cohort study in Moscow.BMC cardiovascular disorders · 2021Article
- Atrial fibrillation among Russian men and women aged 55 years and older: prevalence, mortality, and associations with biomarkers in a population-based study.Journal of geriatric cardiology : JGC · 2020Article
- What are the keys to a longer, happier life? Answers from five decades of health psychology research.Social science & medicine (1982) · 2018Article
- Observational
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Authors and funding
3 authors at 2 institutions in 3 countries.
Funding
Abstract
There are large socioeconomic disparities in adult mortality in Russia, although the biological mechanisms are not well understood. With data from the study of Stress, Aging, and Health in Russia (SAHR), we use Gompertz hazard models to assess the relationship between educational attainment and mortality among older adults in Moscow and to evaluate biomarkers associated with inflammation, neuroendocrine function, heart rate variability, and clinical cardiovascular and metabolic risk as potential mediators of that relationship. We do this by assessing the extent to which the addition of biomarker variables into hazard models of mortality attenuates the association between educational attainment and mortality. We find that an additional year of education is associated with about 5% lower risk of age-specific all-cause and cardiovascular mortality. Inflammation biomarkers are best able to account for this relationship, explaining 25% of the education-all-cause mortality association, and 35% of the education-cardiovascular mortality association. Clinical markers perform next best, accounting for 13% and 23% of the relationship between education and all-cause and cardiovascular mortality, respectively. Although heart rate biomarkers are strongly associated with subsequent mortality, they explain very little of the education-mortality link. Neuroendocrine biomarkers fail to account for any portion of the link. These findings suggest that inflammation may be important for understanding mortality disparities by socioeconomic status.
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Registered trials
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