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Active ageing among elderly community members: structural equation modeling analysis
Nayara Gomes Nunes Oliveira1, Darlene Mara Dos Santos Tavares1
1Universidade Federal do Triângulo Mineiro. Uberaba, Minas Gerais, Brazil.
Active ageing in the elderly is significantly influenced by social and health services, alongside personal and behavioral factors. Satisfaction with healthcare access and self-rated health are key drivers for healthy aging.
Area of Science:
- Gerontology
- Public Health
- Sociology
Background:
- The World Health Organization (WHO) provides a framework for active ageing.
- Understanding the determinants of active ageing is crucial for community-dwelling elderly populations.
Purpose of the Study:
- To propose a structural model for active ageing among community-dwelling elderly.
- To identify key determinants influencing active ageing within this population.
Main Methods:
- A cross-sectional, analytical study involving 957 elderly participants.
- Confirmatory factor analysis and structural equation modeling were employed.
Main Results:
- The final model included six determinants: 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).
- Social and health services demonstrated the strongest association with active ageing (λ=0.97; p<0.001).
- The measurement model exhibited good adjustment quality.
Conclusions:
- Satisfaction with access to health services is a primary contributor to active ageing.
- Positive self-assessment of health status significantly enhances active ageing in the elderly.
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