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Health and happiness: cross-sectional household surveys in Finland, Poland and Spain.
- Source :
-
Bulletin of the World Health Organization . Oct2014, Vol. 92 Issue 10, p716-725. 10p. 2 Diagrams, 4 Charts. - Publication Year :
- 2014
-
Abstract
- Objective To explore the associations between health and how people evaluate and experience their lives. Methods We analysed data from nationally-representative household surveys originally conducted in 2011-2012 in Finland, Poland and Spain. These surveys provided information on 10 800 adults, for whom experienced well-being was measured using the Day Reconstruction Method and evaluative well-being was measured with the Cantril Self-Anchoring Striving Scale. Health status was assessed by questions in eight domains including mobility and self-care. We used multiple linear regression, structural equation models and multiple indicators/ multiple causes models to explore factors associated with experienced and evaluative well-being. Findings The multiple indicator/multiple causes model conducted over the pooled sample showed that respondents with younger age (effect size, β = 0.19), with higher levels of education (β = −0.12), a history of depression (β = −0.17), poor health status (β = 0.29) or poor cognitive functioning (β = 0.09) reported worse experienced well-being. Additional factors associated with worse evaluative well-being were male sex (β = −0.03), not living with a partner (β = 0.07), and lower occupational (β = −0.07) or income levels (β = 0.08). Health status was the factor most strongly correlated with both experienced and evaluative well-being, even after controlling for a history of depression, age, income and other sociodemographic variables. Conclusion Health status is an important correlate of well-being. Therefore, strategies to improve population health would also improve people’s well-being. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ANALYSIS of variance
*CHI-squared test
*COGNITIVE testing
*CONFIDENCE intervals
*MENTAL depression
*FIELDWORK (Educational method)
*HAPPINESS
*HEALTH status indicators
*INTERVIEWING
*RESEARCH methodology
*PROBABILITY theory
*QUESTIONNAIRES
*REGRESSION analysis
*RESEARCH funding
*STATISTICAL sampling
*STATISTICS
*SURVEYS
*DATA analysis
*WELL-being
*STRUCTURAL equation modeling
*CROSS-sectional method
*DATA analysis software
*DESCRIPTIVE statistics
Subjects
Details
- Language :
- English
- ISSN :
- 00429686
- Volume :
- 92
- Issue :
- 10
- Database :
- Academic Search Index
- Journal :
- Bulletin of the World Health Organization
- Publication Type :
- Academic Journal
- Accession number :
- 98701652
- Full Text :
- https://doi.org/10.2471/BLT.13.129254