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Dataset Information

Predictors of active ageing among older adults in age-friendly communities in Yanji City, China: A cross-sectional study.


ABSTRACT:

Background

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.

Methods

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 activ

SUBMITTER: Jiang J 

PROVIDER: S-EPMC12617904 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature