In this study, the authors examined the relationships between self-rated health and subjective and objective socioeconomic status (as measured by income and education) in relation to middle-aged mortality differences in men and women across 20 counties in Hungary through a cross-sectional, ecological study. The authors interviewed 12,643 people in a Hungarostudy 2002 survey, profiling the Hungarian population according to gender, age, and county. They found that mean self-rated health and self-rated disability at the county level were significantly associated with middle-aged mortality differences among counties, with male mortality more closely associated with self-rated health. The authors also noted that self-rated health and socioeconomic status of the opposite gender were significantly associated with middle-aged mortality, but the strength of the association differed by gender. Finally, male middle-aged mortality was more strongly connected to female subjective and objective social status than female mortality was connected with male social status.
Objectives: Social capital has been linked to self rated health and mortality rates. The authors examined the relations between measures of social capital and male/female mortality rates across counties in Hungary. Design: Cross sectional, ecological study. Setting: 20 counties of Hungary. Participants and methods: 12 640 people were interviewed in 1995 (the "Hungarostudy II" survey), representing the Hungarian population according to sex, age, and county. Social capital was measured by three indicators: lack of social trust, reciprocity between citizens, and help received from civil organisations. Covariates included county GDP, personal income, education, unemployment, smoking, and alcohol spirit consumption. Main outcome measure: Gender specific mortality rates were calculated for the middle aged population (45-64 years) in the 20 counties of Hungary. Results: All of the social capital variables were significantly associated with middle age mortality, but levels of mistrust showed the strongest association. Several gender differences were observed, namely male mortality rates were more closely associated with lack of help from civic organisations, while female mortality rates were more closely connected with perceptions of reciprocity. Conclusion: There are gender differences in the relations of specific social capital indicators to mortality rates. At the same time, perceptions of social capital within each sex were associated with mortality rates in the opposite sex.
The results of this large national representative study indicate that independent of negative affect and hostility, a cluster of stressful work-related psychosocial conditions accounts for a substantial part of variation in self-reported mental and physical health of the economically active population in Hungary.
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