Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Cad Saude Publica. 2013 Jul;29(7):1437-48. doi: 10.1590/s0102-311x2013000700017.
The objectives of this study were to investigate: (a) multiple relations between socio-demographic, psychosocial, and health variables and quality of life in the elderly and (b) the model's validity through correlation with depressive symptoms. The sample included 339 elderly individuals from 60 to 98 years of age (M = 73.4; SD = 8.3), who answered a socio-demographic questionnaire, WHOQOL-100, and BDI. Cluster analysis of the sample distributed the elders into two groups according to self-perceived quality of life (better versus worse), and logistic regression analysis identified variables that explained better quality of life. Social class, self-rated health status, volunteer work, use of medication, and data collection setting were associated with quality of life (predictive capacity for correct classification 72.3%, specificity 73.6%, and sensitivity 71.1%). The inverse correlation between the model's variables and BDI scores provided evidence of the model's validity. The model can help support public policies aimed at promoting quality of life in the elderly.
(a) 社会人口统计学、心理社会和健康变量与老年人生活质量之间的多重关系；(b) 通过与抑郁症状的相关性来验证模型的有效性。样本包括 339 名年龄在 60 至 98 岁之间的老年人（M=73.4；SD=8.3），他们回答了社会人口统计学问卷、WHOQOL-100 和 BDI。根据自我感知的生活质量（更好与更差），对样本进行聚类分析，将老年人分为两组，逻辑回归分析确定了能更好地解释生活质量的变量。社会阶层、自我评估的健康状况、志愿者工作、用药情况和数据收集环境与生活质量相关（正确分类的预测能力为 72.3%，特异性为 73.6%，敏感性为 71.1%）。模型变量与 BDI 评分之间的负相关为模型的有效性提供了证据。该模型有助于支持旨在提高老年人生活质量的公共政策。
