Abstract
In the context of rapid global aging, the importance of age-friendly community environments for promoting healthy aging and “aging in place” continues to increase. Using data from the 2011–2020 China Health and Retirement Longitudinal Study, this study investigated the impact of an age-friendly community environment on the age trajectories of late-life long-term care (LTC) dependency among older Chinese adults aged 60+ years. Age-friendly community environments were defined according to three levels (poor, moderate, or good) based on the World Health Organization's age-friendly city and community framework, and LTC dependency was classified as level 1 (high), level 2 (medium), or level 3 (low) according to activities of daily living and instrumental activities of daily living scores. We classified participants into two age trajectory groups according to their level of LTC dependency: early-onset and late-onset groups. We found that an age-friendly community environment, especially a good housing environment, was consistently associated with the probability of having late-onset LTC dependency at any level. Having moderate and good social and employment environments reduced the likelihood of having early-onset level 2 and level 3 LTC dependency. Our mechanism analysis also revealed that age-friendly community environments affect LTC dependency through social participation. Our results may help elucidate the importance of promoting age-friendly community environments to maintain late-life functional ability and support healthy aging.
| Original language | English |
|---|---|
| Article number | 117614 |
| Journal | Social Science and Medicine |
| Volume | 365 |
| DOIs | |
| State | Published - Jan 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 11 Sustainable Cities and Communities
Keywords
- Age trajectory
- Age-friendly community environments
- Long-term care
- Older adults
Fingerprint
Dive into the research topics of 'Age-friendly community environments and the age trajectories of long-term care dependency among Chinese older adults'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver