Suicide rates and socioeconomic factors in Eastern European countries after the collapse of the Soviet Union: trends between 1990 and 2008. 2013

Kairi Kõlves, and Allison Milner, and Peeter Värnik
Australian Institute for Suicide Research and Prevention, Griffith University, Brisbane, Australia. k.kolves@griffth.edu.au

After the collapse of the Soviet Union the various Eastern European (EE) countries adapted in different ways to the social, political and economic changes. The present study aims to analyse whether the factors related to social integration and regulation are able to explain the changes in the suicide rate in EE. A separate analysis of suicide rates, together with the undetermined intent mortality (UD), was performed. A cross-sectional time-series design and applied a panel data fixed-effects regression technique was used in analyses. The sample included 13 countries from the former Soviet bloc between 1990 and 2008. Dependent variables were gender-specific age-adjusted suicide rates and suicide plus UD rates. Independent variables included unemployment, GDP, divorce rate, birth rate, the Gini index, female labour force participation, alcohol consumption and general practitioners per 100,000 people. Male suicide and suicide or UD rates had similar predictors, which suggest that changes in suicide were related to socioeconomic disruptions experienced during the transition period. However, male suicide rates in EE were not associated with alcohol consumption during the study period. Even so, there might be underestimation of alcohol consumption due to illegal alcohol and differences between methodologies of calculating alcohol consumption. However, predictors of female suicide were related to economic integration and suicide or UD rates with domestic integration.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009026 Mortality All deaths reported in a given population. CFR Case Fatality Rate,Crude Death Rate,Crude Mortality Rate,Death Rate,Age Specific Death Rate,Age-Specific Death Rate,Case Fatality Rate,Decline, Mortality,Determinants, Mortality,Differential Mortality,Excess Mortality,Mortality Decline,Mortality Determinants,Mortality Rate,Mortality, Differential,Mortality, Excess,Age-Specific Death Rates,Case Fatality Rates,Crude Death Rates,Crude Mortality Rates,Death Rate, Age-Specific,Death Rate, Crude,Death Rates,Determinant, Mortality,Differential Mortalities,Excess Mortalities,Mortalities,Mortality Declines,Mortality Determinant,Mortality Rate, Crude,Mortality Rates,Rate, Age-Specific Death,Rate, Case Fatality,Rate, Crude Death,Rate, Crude Mortality,Rate, Death,Rate, Mortality,Rates, Case Fatality
D011056 Political Systems The units based on political theory and chosen by countries under which their governmental power is organized and administered to their citizens. Political System,System, Political,Systems, Political
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D002423 Cause of Death Factors which produce cessation of all vital bodily functions. They can be analyzed from an epidemiologic viewpoint. Causes of Death,Death Cause,Death Causes
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
D005061 Europe, Eastern The region of Europe generally from the area of the Baltic Sea to the Ural Mountains of Russia. Eastern Europe
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man

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