ABSTRACT
Objetivos. Identificar el efecto del deterioro del estado de salud en las situaciones de dependencia residencial. Material y métodos. Estudio transversal de los microdatos de la Encuesta de Salud de Cataluña (2006), que cuenta con una muestra de 3.566 mayores de 64 años. Mediante regresión logística bivariada y multivariada, se analizan factores sociodemográficos (sexo, edad, estado civil, nivel de estudios y tamaño del municipio) y de salud (salud percibida y grado de dependencia para las ABVD y AIVD) susceptibles de estar asociados a la dependencia residencial de los mayores. Resultados. El análisis multivariado muestra que los factores más discriminantes en las formas de convivencia y que más vulneran la independencia residencial de hombres y mujeres son la edad, el estado civil y el deterioro de la salud. Para los hombres, ser mayor de 79 años (OR>4), soltero o viudo (OR=6,4), y tener alguna dependencia en AIVD (OR>2,8) están asociados con la dependencia residencial. Mientras que para las mujeres, ser mayor de 79 años (OR>4), soltera (OR=6,8) o viuda (OR=11,8), y tener tres o más dependencias en AIVD (OR=2,7) están asociados con la dependencia residencial. Asimismo, el tamaño del municipio y el nivel de estudios (en este último caso sólo para los hombres), presentan valores significativos (p<0,05). Conclusión. A pesar de que el deterioro de la salud, y sobre todo la dependencia en las AIVD, inciden en la dependencia residencial, su influencia es menor que la de otras variables de carácter sociodemográfico, como son el estado civil o la edad. Además su influencia es mucho mayor entre los hombres que entre las mujeres, las cuales viven de manera independiente hasta que tienen muy limitada su vida cotidiana, mientras que ellos recurren más fácilmente a la dependencia residencial(AU)
Objectives. To identify the effect of health deterioration on residential dependency. Material and methods. We performed a cross-sectional analysis of the microdata from the Catalan Survey of Health (2006), which features a sample of 3566 individuals aged 65 and over. A set of socio-demographic (sex, age, marital status, educational level and municipality size), as well as health variables (self-rated health, BADL and IADL dependency) associated with residential dependency are analysed by bivariate and multivariate logistic regression. Results. Multivariate analysis shows that age, marital status and health are the variables that most affect living arrangements and cohabitation. Among men, being aged 80 or over (OR>4), being unmarried or widowed (OR=6.4) and having one or more IADL dependencies (OR>2.8) increases the risk of residential dependency. Whereas for women being aged 80 and over (OR>4), being unmarried (OR=6.8) or widowed (OR=11.8) and having three or more IADL dependencies (OR=2.7) is associated with residential dependency. Municipality size and the level of education (in the latter case only for men) are also significant determining factors (P<0.05). Conclusion. Although health deterioration, and especially IADL dependency, affects residential dependency, its impact is lower than that of socio-demographic variables, such as marital status or age. What is more, health has a greater influence on men than women, who live independently until they experience great difficulty in coping with their activities of daily living. On the other hand, men seem to fall more easily into residential dependency once they experience any IADL dependency(AU)
Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Centers of Connivance and Leisure , Health Services for the Aged/standards , Aged/psychology , Health of the Elderly , Health Services for the Aged/organization & administration , Cross-Sectional Studies , Socioeconomic Survey , Multivariate Analysis , Logistic Models , Indicators of Health Services/methodsABSTRACT
OBJECTIVES: To identify the effect of health deterioration on residential dependency. MATERIAL AND METHODS: We performed a cross-sectional analysis of the microdata from the Catalan Survey of Health (2006), which features a sample of 3566 individuals aged 65 and over. A set of socio-demographic (sex, age, marital status, educational level and municipality size), as well as health variables (self-rated health, BADL and IADL dependency) associated with residential dependency are analysed by bivariate and multivariate logistic regression. RESULTS: Multivariate analysis shows that age, marital status and health are the variables that most affect living arrangements and cohabitation. Among men, being aged 80 or over (OR>4), being unmarried or widowed (OR=6.4) and having one or more IADL dependencies (OR>2.8) increases the risk of residential dependency. Whereas for women being aged 80 and over (OR>4), being unmarried (OR=6.8) or widowed (OR=11.8) and having three or more IADL dependencies (OR=2.7) is associated with residential dependency. Municipality size and the level of education (in the latter case only for men) are also significant determining factors (P<0.05). CONCLUSION: Although health deterioration, and especially IADL dependency, affects residential dependency, its impact is lower than that of socio-demographic variables, such as marital status or age. What is more, health has a greater influence on men than women, who live independently until they experience great difficulty in coping with their activities of daily living. On the other hand, men seem to fall more easily into residential dependency once they experience any IADL dependency.
