Int J Environ Res Public Health
October 2021
Self-assessed health (SAH) is a widely used tool to estimate population health. However, the debate continues as to what exactly this ubiquitous measure of social science research means for policy conclusions. This study is aimed at understanding the tenability of the construct of SAH by simultaneously modelling SAH and clinical morbidity.
View Article and Find Full Text PDFStunting undermines economic growth by perpetuating the vicious cycle of poverty and labour market performance. Studies have captured the trend in stunting and present distributional evidence of policy effects in the country contexts. We identify the determinants of U5 (under 5 years of age) malnutrition for the poor and the Nonpoor and compare the distribution of stunting at four time points (2000, 2005, 2010 and 2015) over a 15-year period between different groups of population.
View Article and Find Full Text PDFInt J Health Econ Manag
March 2020
This article examines the effects of socioeconomic position and urban-rural settlement on the distribution of out-of-pocket expenditure (OPE) for health in the Russian Federation. Data comes from 2005 to 2016 waves of the Russian Longitudinal Monitoring Survey. Concentration index reflects changes in the distribution of OPE between the worse-off and the better-off Russians over a 12-year period.
View Article and Find Full Text PDFThe relationship between socioeconomic position (SEP) and population health is contextual. This study identifies the determinants of SEP producing health inequalities in the Latvian population. We also estimate the proportional contribution of different socioeconomic strata- (SES-) related determinants in Latvian health inequalities and measure the changes in the relative contributions of such determinants over the period 2005-2015.
View Article and Find Full Text PDFBackground: To assess and quantify the magnitude of health inequalities ascribed to socioeconomic strata from 1994 to 2013 in the Russian Federation.
Methods: A balanced sample of 1,496 adult individuals extracted from the 1994 wave of the Russian Longitudinal Monitoring Survey (RLMS) is followed for stated self-perceived health status until 2013. The socioeconomic strata (SES) index is constructed with a set of variables (adult equivalent household income, ownership of assets and living conditions) by applying principal component analysis (PCA).
Background: Armenians very rarely seek healthcare services and, consequently experience more serious health conditions. With its ongoing reforms, Armenia is focusing on linking health system financing to the quality and volume of care provided. We examine the relationship between the perceived health status of the population and the satisfaction with healthcare services.
View Article and Find Full Text PDFBMC Public Health
February 2016
Background: Individual characteristics and socioeconomic strata (SES) are important determinants of health differences. We examine health inequalities in Russia and estimate the association of demography (gender and age) and SES (working status, income, geography of residence, living standard, wealth possession, and durable asset-holding) with perceived health over the period 1994-2012.
Methods: This study uses nationally representative datasets from the Russian Longitudinal Monitoring Survey (RLMS: 1994-2012).