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dc.contributor.authorTrias-Llimós, Sergi
dc.contributor.authorCook, Sarah
dc.contributor.authorEggen, Anne Elise
dc.contributor.authorKudryavtsev, Alexander V
dc.contributor.authorMalyutina, Sofia
dc.contributor.authorShkolnikov, Vladimir M.
dc.contributor.authorLeon, David A.
dc.date.accessioned2022-08-25T11:55:23Z
dc.date.available2022-08-25T11:55:23Z
dc.date.issued2022-04-15
dc.description.abstractBackground: Socioeconomic inequalities in cardiovascular (CVD) health outcomes are well documented. While Russia has one of the highest levels of CVD mortality in the world, the literature on contemporary socio-economic inequalities in biomarker CVD risk factors is sparse. This paper aims to assess the extent and the direction of SEP inequalities in established physiological CVD risk biomarkers, and to explore the role of lifestyle factors in explaining SEP inequalities in physiological CVD risk biomarkers.<p> <p>Methods: We used cross-sectional data from a general population-based survey of Russians aged 35-69 years liv‑ ing in two cities (n=4540, Know Your Heart study 2015-18). Logistic models were used to assess the associations between raised physiological risk biomarkers levels (blood pressure levels, cholesterol levels, triglycerides, HbA1C, and C-reactive protein) and socioeconomic position (SEP) (education and household fnancial constraints) adjusting for age, obesity, smoking, alcohol and health-care seeking behavior. <p>Results: High education was negatively associated with a raised risk of blood pressure (systolic and diastolic) and C-reactive protein for both men and women. High education was positively associated with total cholesterol, with higher HDL levels among women, and with low triglycerides and HbA1c levels among men. For the remaining risk biomarkers, we found little statistical support for SEP inequalities. Adjustment for lifestyle factors, and particularly BMI and waist-hip ratio, led to a reduction in the observed SEP inequalities in raised biomarkers risk levels, especially among women. High financial constraints were weakly associated with high risk biomarkers levels, except for strong evidence for an association with C-reactive protein (men). <p>Conclusions: Notable differences in risk biomarkers inequalities were observed according to the SEP measure employed. Clear educational inequalities in raised physiological risk biomarkers levels, particularly in blood pressure and C-reactive protein were seen in Russia and are partly explained by lifestyle factors, particularly obesity among women. These findings provide evidence-based information on the need for tackling health inequalities in the Rus‑ sian population, which may help to further contribute to CVD mortality decline.en_US
dc.identifier.citationTrias-Llimós, S., Cook, S., Eggen, A.E. et al. Socioeconomic inequalities in physiological risk biomarkers and the role of lifestyles among Russians aged 35-69 years. Int J Equity Health 21, 51 (2022)en_US
dc.identifier.cristinIDFRIDAID 2030611
dc.identifier.doi10.1186/s12939-022-01650-3
dc.identifier.issn1475-9276
dc.identifier.urihttps://hdl.handle.net/10037/26422
dc.language.isoengen_US
dc.publisherBMCen_US
dc.relation.journalInternational Journal for Equity in Health
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleSocioeconomic inequalities in physiological risk biomarkers and the role of lifestyles among Russians aged 35-69 yearsen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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