1. Multimorbidity and falls in middle-aged and elderly people in China: evidence from CHARLS.
- Author
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LU Qiaochu, WANG Kang, and ZHANG Luwen
- Subjects
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MIDDLE-aged persons , *OLDER people , *COMORBIDITY , *LOGISTIC regression analysis , *DESCRIPTIVE statistics - Abstract
Objective To investigate the influencing factors of falls and serious falls among individuals aged 45 years and above in China, as well as explore the association between falls and multimorbidity, thereby providing empirical evidence for the formulation of effective strategies to prevent falls. Methods The study utilized data from the CHARLS 2020 dataset and employed various statistical methods, including descriptive statistics, χ² test, quadratic regression, and logistic regression. Additionally, subgroup analyses were conducted on key variables. Results The prevalence of falls and serious falls among individuals aged 45 and above in China was found to be 17.42% and 6.86%, respectively. Multimorbidity emerged as a significant determinant influencing both falls and serious falls, with a higher number of diseases being associated with an increased prevalence of these events. Conclusion In order to effectively address the issue of falls in middle-aged and elderly individuals, particularly those with multimorbidity, it is imperative to integrate multimorbidity considerations into the comprehensive fall intervention process. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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