Jesús Martín-Fernández1, Gloria Ariza-Cardiel2, Elena Polentinos-Castro3, Teresa Sanz-Cuesta4, Antonio Sarria-Santamera5, Isabel Del Cura-González6. 1. Consultorio de Villamanta (C.S. Navalcarnero), Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Navalcarnero, Madrid, Spain; Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain; Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, Spain. Electronic address: jmfernandez@salud.madrid.org. 2. Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain; UDM Atención Familiar y Comunitaria Oeste, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain. 3. Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain; UDM Atención Familiar y Comunitaria Norte, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain. 4. Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain; Unidad de Apoyo a la Investigación, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain. 5. Red de Investigación en Servicios de Salud en Enfermedades Crónicas (REDISSEC), Spain; Escuela Nacional de Sanidad, Instituto de Salud Carlos III, Facultad de Medicina, Universidad de Alcalá de Henares, Madrid, Spain. 6. Unidad de Apoyo a la Investigación, Gerencia Asistencial de Atención Primaria, Servicio Madrileño de Salud, Madrid, Spain; Facultad de Ciencias de la Salud, Universidad Rey Juan Carlos, Madrid, Spain.
Abstract
OBJECTIVE: To assess the burden of several determinants on health-related quality of life (HRQOL) and to study its heterogeneity among the different Spanish regions. METHOD: Cross-sectional study. Data were obtained from the Spanish National Health Survey (2012), and HRQOL was measured using the EQ-5D-5L questionnaire (utility and visual analogue scale -VAS- scores). Demographic variables, physical health condition, social variables, mental health status, and lifestyle were also analysed. Tobit regression models were employed to study the relationships between expressed HRQOL and personal characteristics. RESULTS: A total of 20,979 surveys were obtained. Of them, 62.4% expressed a utility score of 1, corresponding to perfect health (95%CI: 61.8%-63.2%), and 54.2% showed VAS scores ≥80 (95%CI: 53.5%-54.9%). HRQOL was mainly described as a function of age, chronic limitation in daily activities, and mental health status. Belonging to a higher-class strata and physical activity were related to better self-perceived HRQOL. Ageing worsened perceived HRQOL, but did not influence its determinants, and differences in HRQOL by regions were also not significant after model adjustment. CONCLUSION: HRQOL perception in the Spanish population varied slightly depending on the measure used (utilities index or VAS). Age, chronic limitations in daily life, and mental health status best explained the variability in perception, and no meaningful differences in HRQOL perception among regions were found after adjustment.
OBJECTIVE: To assess the burden of several determinants on health-related quality of life (HRQOL) and to study its heterogeneity among the different Spanish regions. METHOD: Cross-sectional study. Data were obtained from the Spanish National Health Survey (2012), and HRQOL was measured using the EQ-5D-5L questionnaire (utility and visual analogue scale -VAS- scores). Demographic variables, physical health condition, social variables, mental health status, and lifestyle were also analysed. Tobit regression models were employed to study the relationships between expressed HRQOL and personal characteristics. RESULTS: A total of 20,979 surveys were obtained. Of them, 62.4% expressed a utility score of 1, corresponding to perfect health (95%CI: 61.8%-63.2%), and 54.2% showed VAS scores ≥80 (95%CI: 53.5%-54.9%). HRQOL was mainly described as a function of age, chronic limitation in daily activities, and mental health status. Belonging to a higher-class strata and physical activity were related to better self-perceived HRQOL. Ageing worsened perceived HRQOL, but did not influence its determinants, and differences in HRQOL by regions were also not significant after model adjustment. CONCLUSION: HRQOL perception in the Spanish population varied slightly depending on the measure used (utilities index or VAS). Age, chronic limitations in daily life, and mental health status best explained the variability in perception, and no meaningful differences in HRQOL perception among regions were found after adjustment.
Keywords:
Calidad de vida; Características poblacionales; Estado de salud; Health status; Population characteristics; Public health; Quality of life; Salud pública
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