ArticleSocial science & medicine (1982)2013
To what extent do biomarkers account for the large social disparities in health in Moscow?
Article in Social science & medicine (1982), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 21 citations in OpenAlex.
- Systemic inflammation mediating the relationship between lifestyle factors and musculoskeletal pain: a systematic review.Frontiers in pain research (Lausanne, Switzerland) · 2026Review
- Socioeconomic inequalities in physiological risk biomarkers and the role of lifestyles among Russians aged 35-69 years.International journal for equity in health · 2022Article
- Glucocorticoid exposure predicts survival in female baboons.Science advances · 2021Article
- 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
- Infant Mortality in Moscow: the Perils of Progress in Russia's World City.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Inflammation in multimorbidity and disability: An integrative review.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2019Review
- Handgrip strength and its prognostic value for mortality in Moscow, Denmark, and England.PloS one · 2017Article
- Why are well-educated Muscovites more likely to survive? Understanding the biological pathways.Social science & medicine (1982) · 2016Article
- Cohort Profile: The Social Environment and Biomarkers of Aging Study (SEBAS) in Taiwan.International journal of epidemiology · 2016Article
- Sex Differences in Biological Markers of Health in the Study of Stress, Aging and Health in Russia.PloS one · 2015Article
- Recalibration of the SCORE risk chart for the Russian population.European journal of epidemiology · 2014Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 3 countries.
Funding
Abstract
The Russian population continues to face political and economic challenges, has experienced poor general health and high mortality for decades, and has exhibited widening health disparities. The physiological factors underlying links between health and socioeconomic position in the Russian population are therefore an important topic to investigate. We used data from a population-based survey of Moscow residents aged 55 and older (n = 1495), fielded between December 2006 and June 2009, to address two questions. First, are social disparities evident across different clusters of biomarkers? Second, does biological risk mediate the link between socioeconomic status and health? Health outcomes included subscales for general health, physical function, and bodily pain. Socioeconomic status was represented by education and an index of material resources. Biological risk was measured by 20 biomarkers including cardiovascular, inflammatory, and neuroendocrine markers as well as heart rate parameters from 24-h ECG monitoring. For both sexes, the age-adjusted educational disparity in standard cardiovascular risk factors was substantial (men: standardized β = -0.16, 95% CI = -0.23 to -0.09; women: β = -0.25, CI = -0.32 to -0.18). Education differences in inflammation were also evident in both men (β = -0.17, CI = -0.25 to -0.09) and women (β = -0.09, CI = -0.17 to -0.01). Heart rate parameters differed by education only in men (β = -0.10, CI = -0.18 to -0.02). The associations between material resources and biological risk scores were generally weaker than those for education. Social disparities in neuroendocrine markers were negligible for men and women. In terms of mediating effects, biological risk accounted for more of the education gap in general health and physical function (19-36%) than in bodily pain (12-18%). Inclusion of inflammatory markers and heart rate parameters-which were important predictors of health outcomes-may explain how we accounted for more of the social disparities than previous studies.
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