Gordeev, Vladimir S; Goryakin, Yevgeniy; McKee, Martin; Stuckler, David; Roberts, Bayard; (2016) Economic shocks and health resilience: lessons from the Russian Federation. Journal of public health (Oxford, England), 38 (4). e409-e418. ISSN 1741-3842 DOI: https://doi.org/10.1093/pubmed/fdv166
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Abstract
BACKGROUND: Despite extensive research on determinants of health, there is much less information on factors protecting health among those exposed to economic shocks. Using longitudinal data from the Russian Federation in the post-Soviet period, we examined individual-level factors that enhance resilience of health to economic shocks. METHODS: Logistic regression analysed factors associated with good self-assessed health (SAH) and health resilience, using pooled samples from the Russia Longitudinal Monitoring Survey-Higher School of Economics (1994–2012). RESULTS: The general population consistently reported ‘average’ SAH, indicating almost invariant trends over the years. Male gender was the strongest predictor of good SAH and health resilience. Other factors positively associated with good SAH were age, higher education, employment, residing in rural areas, living in a larger and/or non-poor household. Among unemployed and those remaining unemployed, residing in rural areas, living in a larger and/or non-poor household remained the strongest predictors of good SAH and health resilience. These same factors were also important for males with recent job loss. CONCLUSIONS: Several factors predicting good SAH in the general population also influence health resilience factors among those remaining unemployed and experiencing a job loss. Such factors help to identify those most vulnerable and aid targeting assistance during economic crises.
Item Type | Article |
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Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology (-2023) Faculty of Public Health and Policy > Dept of Health Services Research and Policy |
Research Centre | Centre for Global Chronic Conditions |
PubMed ID | 28158731 |
ISI | 395817000002 |
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