Health status of Russian minorities in former Soviet Republics. 2011

W G F Groenewold, and J K van Ginneken
Netherlands Interdisciplinary Demographic Institute, Lange Houtstraat 19, 2511 CV, The Hague, The Netherlands. Groenewold@nidi.nl

OBJECTIVE To examine if, and to what extent, disparities in health status exist between ethnic Russians and the native majority populations of four former Soviet Republics; and to determine to what extent indicators of socio-economic status and lifestyle behaviours explain variations in health status. METHODS Data from the World Health Organization's World Health Surveys of former Soviet Republics that include information on ethnicity (i.e. Estonia, Latvia, Ukraine, Kazakhstan and Russia) were used. Russia was included as the benchmark population as it is the country of origin of ethnic Russians. Data were collected from respondents aged ≥25 years in 2001-2003. METHODS Principal component analysis was used to derive the Health Status Index and Household Wealth Index. Multiple classification analysis was applied to examine the effects of the determinants on health status, including ethnic group membership. RESULTS In Estonia and Kazakhstan, ethnic Russians have, on average, a lower health status than members of the majority population, while their health status is higher in Ukraine. Higher levels of material wealth, educational attainment and physical activity were associated with a higher health status. The association of these variables with health status was often stronger than the association between ethnic group membership and health status. CONCLUSIONS Differences in health status between Russian ethnic minorities and the majority populations were found in Estonia and Kazakhstan, but were non-existent in Latvia and were the opposite of what was expected in Ukraine. Use of the Health Status Index in combination with multiple classification analysis proved to be a useful approach to examine health status differentials, and to identify and profile vulnerable groups in a society.

UI MeSH Term Description Entries
D008019 Life Style Typical way of life or manner of living characteristic of an individual or group. (From APA, Thesaurus of Psychological Index Terms, 8th ed) Lifestyle Factors,Life Style Induced Illness,Lifestyle,Factor, Lifestyle,Life Styles,Lifestyle Factor,Lifestyles
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D008913 Minority Groups A subgroup having special characteristics within a larger group, often bound together by special ties which distinguish it from the larger group. Group, Minority,Groups, Minority,Minority Group
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D003625 Data Collection Systematic gathering of data for a particular purpose from various sources, including questionnaires, interviews, observation, existing records, and electronic devices. The process is usually preliminary to statistical analysis of the data. Data Collection Methods,Dual Data Collection,Collection Method, Data,Collection Methods, Data,Collection, Data,Collection, Dual Data,Data Collection Method,Method, Data Collection,Methods, Data Collection
D005260 Female Females
D006305 Health Status Indicators The measurement of the health status for a given population using a variety of indices, including morbidity, mortality, and available health resources. Health Risk Appraisal,Health Status Index,Health Status Indexes,Appraisal, Health Risk,Appraisals, Health Risk,Health Risk Appraisals,Health Status Indicator,Health Status Indices,Index, Health Status,Indexes, Health Status,Indicator, Health Status,Indicators, Health Status,Indices, Health Status,Risk Appraisal, Health,Risk Appraisals, Health
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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