Oliveira Nayara Gomes Nunes, Tavares Darlene Mara Dos Santos
Universidade Federal do Triângulo Mineiro. Uberaba, Minas Gerais, Brazil.
Rev Bras Enferm. 2020 Oct 23;73(suppl 3):e20200110. doi: 10.1590/0034-7167-2020-0110. eCollection 2020.
to propose a structural model of active ageing among elderly community members based on the World Health Organization's theoretical framework and to identify the most relevant determinants of active ageing to the proposed model.
a cross-sectional and analytical study conducted with 957 elderly community members. Confirmatory factor analysis and structural equation modeling were performed.
the final measurement model was composed of the six determinants of active ageing: behavioral (R²=0.66); personal (R²=0.74); physical environment (R²=0.70); social (R²=0.77); economic (R²=0.44); and social and health services (R²=0.95). The last one showed good quality of adjustment: χ2/gl=3.50; GFI=0.94; CFI=0.92; TLI=0.90; RMSEA=0.05. By analyzing the trajectories between determinants and active ageing, the most representative was social and health services active ageing (λ=0.97; p<0.001).
satisfaction with access to health services and positive self-assessment of health status were the factors that most contributed to active ageing in this population.
基于世界卫生组织的理论框架，提出老年社区成员积极老龄化的结构模型，并确定与该模型最相关的积极老龄化决定因素。
对957名老年社区成员进行横断面分析研究。进行验证性因素分析和结构方程建模。
最终测量模型由积极老龄化的六个决定因素组成：行为（R² = 0.66）；个人（R² = 0.74）；物理环境（R² = 0.70）；社会（R² = 0.77）；经济（R² = 0.44）；社会和卫生服务（R² = 0.95）。最后一个显示出良好的拟合质量：χ2/gl = 3.50；GFI = 0.94；CFI = 0.92；TLI = 0.90；RMSEA = 0.05。通过分析决定因素与积极老龄化之间的轨迹，最具代表性的是社会和卫生服务→积极老龄化（λ = 0.97；p < 0.001）。
对获得卫生服务的满意度和对健康状况的积极自我评估是该人群中对积极老龄化贡献最大的因素。
