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Health-related quality of life and self-reported long-term conditions: a population-based survey

OBJECTIVE: To estimate and compare the effect of self-reported long-term health conditions and sociodemographic factors on perceived health-related quality of life (HRQoL). METHODS: A population-based survey of adults (18 to 65 years) living in Brasilia, Brazil, was conducted in 2012. Descriptive an...

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Detalles Bibliográficos
Autores principales: Zimmermann, Ivan R., Silva, Marcus T., Galvao, Tais F., Pereira, Mauricio G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Psiquiatria 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112737/
https://www.ncbi.nlm.nih.gov/pubmed/27533021
http://dx.doi.org/10.1590/1516-4446-2015-1853
Descripción
Sumario:OBJECTIVE: To estimate and compare the effect of self-reported long-term health conditions and sociodemographic factors on perceived health-related quality of life (HRQoL). METHODS: A population-based survey of adults (18 to 65 years) living in Brasilia, Brazil, was conducted in 2012. Descriptive and multivariate analyses using a Tobit model were performed with data on sociodemographic variables, self-reported conditions, and the European Quality of Life-5 Dimensions (EQ-5D) health states, providing utility scores (preferred health state) between 0 and 1 for HRQoL estimates. RESULTS: The mean utility of 1,820 adults interviewed (mean age: 38.4±12.6 years) was 0.883 (95%CI 0.874-0.892), with 76.2% in the highest utility range (0.8 to 1.0). EQ-5D dimensions with moderate problems were pain/discomfort (33.8%) and anxiety/depression (20.5%). Serious problems were reported by only 0.3% of the sample in the mobility and self-care domain and by 3.1% in the pain/discomfort domain. Multivariate analysis revealed reduced HRQoL in individuals with depression, diabetes, and hypertension. Living in satellite towns (outside the city core), belonging to a lower economic class, or not being formally employed were also associated with decreased HRQoL. Beta coefficients for these impacts ranged from -0.033 (not formally employed) to -0.141 (depression), reflecting the strongest impact. CONCLUSION: Of the long-term health conditions studied, depression had the greatest impact on HRQoL. Social class, employment status, and place of residence also affected HRQoL.