Multivariable Prediction Model Development and Validation for Dropout in Community-Based Going-Out Program for Older Adults
The predictive model reliably indicates whether a participant will drop out when classified as negative but not when classified as positive. Physical and cognitive functions and willingness to engage in physical activity may be primary predictors.
Authors
- Chiharu Nishijima
- Kazuya Fujii (ORCID: https://orcid.org/0000-0003-3273-145X)
- Satoshi Kurita (ORCID: https://orcid.org/0000-0001-5467-3268)
- Daisuke Kakita (ORCID: https://orcid.org/0000-0002-9912-207X)
- Yukari Yamashiro (ORCID: https://orcid.org/0009-0000-8155-3333)
- Hiroyuki Shimada (ORCID: https://orcid.org/0000-0001-8111-6440)
- Motoki Sudo (ORCID: https://orcid.org/0000-0001-5882-086X)
- Kenji Harada (ORCID: https://orcid.org/0000-0002-8920-1997)
- Naoto Takayanagi (ORCID: https://orcid.org/0000-0002-6849-7901)
- Masanori Morikawa (ORCID: https://orcid.org/0000-0001-5762-5552)
Institutions
- Japan Society for the Promotion of Science (JP)
- Kao Corporation (Japan) (JP)
- UNSW Sydney (AU)
- National Center for Geriatrics and Gerontology (JP)
Publication Details
- Journal
- Journal of Physical Activity and Health
- Published
- 2025-04-08
- DOI
- https://doi.org/10.1123/jpah.2024-0723
- Citations
- 1
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 1.16