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Health and happiness: cross-sectional household surveys in Finland, Poland and Spain

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, fo...

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Detalles Bibliográficos
Autores principales: Miret, Marta, Caballero, Francisco Félix, Chatterji, Somnath, Olaya, Beatriz, Tobiasz-Adamczyk, Beata, Koskinen, Seppo, Leonardi, Matilde, Haro, Josep Maria, Ayuso-Mateos, José Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4208476/
https://www.ncbi.nlm.nih.gov/pubmed/25378725
http://dx.doi.org/10.2471/BLT.13.129254
Descripción
Sumario: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.