Physical health and cognitive ability factors in predicting retirement adjustment based on machine learning approach: results from the China Health and Retirement Longitudinal Study
The present research extends current understanding of factors that promote adjustment to retirement and provides essential insights for preventing poor adjustment and intervening in retirement adjustment.
Authors
- Bruna da Silva Nascimento (ORCID: https://orcid.org/0000-0003-2696-9250)
- Lin Gao (ORCID: https://orcid.org/0000-0002-6763-9875)
- Angela C. Rowe (ORCID: https://orcid.org/0000-0003-2865-5247)
- Dahua Wang (ORCID: https://orcid.org/0000-0003-2828-2532)
- Hao Zhang (ORCID: https://orcid.org/0000-0002-1639-4089)
- Xiancai Cao (ORCID: https://orcid.org/0000-0003-4478-628X)
- Bolin Zhou (ORCID: https://orcid.org/0009-0002-6015-1743)
- Chenhong Cui
Institutions
- Tianjin Normal University (CN)
- Beijing Normal University (CN)
- University of Bristol (GB)
Publication Details
- Journal
- Frontiers in Psychology
- Published
- 2025-08-20
- DOI
- https://doi.org/10.3389/fpsyg.2025.1601723
- Primary Topic
- Retirement, Disability, and Employment
- Type
- article
- Field-Weighted Citation Impact
- 0.00