Predictors of active ageing among older adults in age-friendly communities in Yanji City, China: A cross-sectional study
Jiawei Jiang, Ai Theng Cheong, Shariff Ghazali Sazlina, Zarina Haron, Shanyu Wu, Chenli Liang, Qi Jiang, Elise Rivera, Elise Rivera, Elise Rivera

TL;DR
This study identifies factors that help older adults age actively in age-friendly communities in China, such as education, income, social support, and physical activity.
Contribution
The study provides new insights into community-level predictors of active ageing in a Chinese context.
Findings
Higher education, income, and physical activity levels are linked to better active ageing outcomes.
Strong family support and social connectedness significantly promote active ageing.
Depression negatively affects active ageing scores, highlighting the importance of mental health care.
Abstract
With the global population ageing rapidly, especially in China, promoting active ageing is crucial for ensuring healthy longevity. However, limited studies have examined the levels and predictors of active ageing at the community level in provincially designated age-friendly communities. A cross-sectional study was conducted from August to November 2024 in two age-friendly communities in Yanji City, China. We invited 553 older adults aged 60 years and above using simple random sampling methods. We collected data through structured face-to-face interviews using validated instruments that measured socio-demographic and physical, environmental, health-related, and social variables. We used multiple linear regression to identify significant predictors of active ageing. A total of 513 older adults participated 56.9% were female, and 90.4% were aged 60−79. The mean active ageing score was…
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Taxonomy
TopicsHealth disparities and outcomes · Aging and Gerontology Research · Technology Use by Older Adults
