ArticleFrontiers in public health2022
Factors related to self-rated health of older adults in rural China: A study based on decision tree and logistic regression model.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Unveiling postpartum PTSD: predicting risk factors using decision trees and logistic regression in Chinese women.BMC psychiatry · 2025Article
- Factors Associated With Self-Rated Health Among Older Adults in Japan: A Decision Tree Analysis.Cureus · 2025Article
- Study on the factors influencing the impaired abilities of daily living in middle-aged and older adult arthritis patients based on binary logistic regression and categorical decision tree model.Frontiers in public health · 2025Article
- The knowledge level and influencing factors of sarcopenia among Chinese community-dwelling older adults.PloS one · 2025Article
- Exploring factors associated with self-rated health in individuals with diabetes and its impact on quality of life: Evidence from the Survey of Health, Ageing, and Retirement in Europe.Journal of diabetes · 2024Article
- Risk factors analysis of cognitive frailty among geriatric adults in nursing homes based on logistic regression and decision tree modeling.Frontiers in aging neuroscience · 2024Article
- Understanding parental preference for childcare: a cross-sectional study in Chongqing, China.Frontiers in sociology · 2024Article
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7 authors.
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Abstract
Objective: This study aimed to explore the related factors of self-rated health (SRH) by using decision tree and logistic regression models among older adults in rural China. Methods: Convenience sampling was employed with 1,223 enrolled respondents who met the inclusion criteria from 10 randomly selected villages in M County in China. The content of the questionnaire covered demographic characteristics, physical and mental health, sleep status, and risk of falling. The Pittsburgh Sleep Quality Index (PSQI) and the Morse Falls Risk Scale (MFS) were used to evaluate sleep status and risk of falling, respectively. The decision tree and logistic regression models were employed to analyze the related factors of SRH. Results: Notably, 817 (68.7%) subjects had good SRH. The logistic regression model showed that living standard, alcohol consumption, sleep quality, labor, hospitalization, discomfort, the number of chronic diseases, and mental health were associated with SRH ( Conclusion: Decision tree and logistic regression models complement each other and can describe the factors related to the SRH of the elderly in rural China from different aspects. Our findings indicated that mental health, hospitalization, drinking, and sleep quality were the important associated factors.
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