Factors related to sedentary behavior in older adult stroke patients in China: a study based on decision tree and logistic regression model
Our findings indicated that physical activity level, longest consecutive sitting time, sleep quality, and BMI were key factors associated with sedentary behavior. To achieve the purpose of improving rehabilitation effect and quality of life, this study combining decision trees with logistic regression models was of high value in studying factors influencing sedentary behavior in older adult stroke patients.
Authors
- S. Liu (ORCID: https://orcid.org/0009-0008-6838-7965)
- Rong Tang (ORCID: https://orcid.org/0000-0001-9841-6562)
- Xiaowen Jiang (ORCID: https://orcid.org/0000-0001-8246-7058)
- Juan Li (ORCID: https://orcid.org/0000-0003-4841-1186)
- Yumei Lv
- Xi Chen (ORCID: https://orcid.org/0000-0001-8473-7920)
Institutions
- Harbin Medical University (CN)
- Changchun University of Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2024-12-10
- DOI
- https://doi.org/10.3389/fpubh.2024.1457151
- Citations
- 2
- Primary Topic
- Physical Activity and Health
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- National Natural Science Foundation of China