Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/27316

Title: Biological and Socio-Demographic Predictors of Elderly Quality of Life Living in the Community in Baixo-Alentejo
Authors: Goes, MARGARIDA
Lopes, Manuel
Fonseca C, CÉSAR
Keywords: Aging
Nursing
Issue Date: 1-Mar-2019
Citation: Goes M., Lopes M.J., Oliveira H., Fonseca C., Mendes D. (2019) Biological and Socio-Demographic Predictors of Elderly Quality of Life Living in the Community in Baixo-Alentejo, Portugal. In: García-Alonso J., Fonseca C. (eds) Gerontechnology. IWoG 2018. Communications in Computer and Information Science, vol 1016. (SCImago Journal Rank SJR: 40 H Index. Quartiles: Q3. SCOPUS INDEX). Springer, Cham. DOIhttps://doi.org/10.1007/978-3-030-16028-9_28
Abstract: Abstract Objectives: To identify the biological and socio-demographic factors considered as predictors of the Quality of Life of elderly people residing in an aged and predominantly rural community in Portugal, namely the Baixo-Alentejo. Methods: Cross-sectional and descriptive study, with a random sample of 351 elderly residing in the community, stratified by gender and age group, with data collection performed by health professionals in people’s homes, using the WHOQOL-BREF instrument. In addition to a brief description of the general characteristics of the sample, a linear regression model by blocks was performed, in order to investigate about the biological and sociodemographic factors considered as predictors of Quality of life. Results: Highest percentage of women in the sample. Decreased Quality of Life in all domains as well as in the General Health Facet as age progresses. Higher average Quality of Life score obtained for the Social Relationships domain and smaller to the Physical Health one. Higher Quality of Life scores obtained for males compared to females. Education considered as one of the most significant predictors of Quality of Life, whose score increases with higher education levels. Discussion: Regarding the biological factors, age appears to be a significant predictor in the Physical Health and Environment domains, while the gender seems to be a significant predictor in the Physical Health and Psychological ones. In respect to the sociodemographic factors, the marital status appeared to be a significant predictor in Psychological and Social Relationships domains, but education was the only factor identified as a statistically significant predictor in all domains of Quality of Life.
URI: https://link.springer.com/chapter/10.1007/978-3-030-16028-9_28
http://hdl.handle.net/10174/27316
Type: article
Appears in Collections:ENF - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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