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Tian Y, Zhou X, Jiang Y, Pan Y, Liu X, Gu X. Bidirectional association between falls and multimorbidity in middle-aged and elderly Chinese adults: a national longitudinal study. Sci Rep 2024; 14:9109. [PMID: 38643241 PMCID: PMC11032330 DOI: 10.1038/s41598-024-59865-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Accepted: 04/16/2024] [Indexed: 04/22/2024] Open
Abstract
This study explores the bidirectional association between multimorbidity and falls in Chinese middle-aged and elderly adults. Participants aged 45 and above from the China Health and Retirement Longitudinal Study were included. Binary logistic regression assessed the impact of chronic conditions on fall incidence (stage I), while multinomial logistic regression examined the relationship between baseline falls and multimorbidity (stage II). The fully adjusted odds ratios (ORs) for one, two, or three or more chronic conditions were 1.34, 1.65, and 2.02, respectively. Among participants without baseline falls, 28.61% developed two or more chronic conditions during follow-up, compared to 37.4% of those with a history of falls. Fully adjusted ORs for one, two, or three or more chronic conditions in those with a history of falls were 1.21, 1.38 and 1.70, respectively. The bidirectional relationship held in sensitivity and subgroup analyses. A bidirectional relationship exists between multimorbidity and falls in Chinese middle-aged and elderly adults. Strengthening chronic condition screening and treatment in primary healthcare may reduce falls risk, and prioritizing fall prevention and intervention in daily life is recommended.
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Affiliation(s)
- Ye Tian
- Department of Health Statistics, School of Public Health, Hainan Medical University, No. 3, Xue Yuan Road, Longhua District, Haikou, 571199, People's Republic of China
| | - Xingzhao Zhou
- Department of Health Statistics, School of Public Health, Hainan Medical University, No. 3, Xue Yuan Road, Longhua District, Haikou, 571199, People's Republic of China
| | - Yan Jiang
- Department of Health Statistics, School of Public Health, Hainan Medical University, No. 3, Xue Yuan Road, Longhua District, Haikou, 571199, People's Republic of China
| | - Yidan Pan
- Department of Health Statistics, School of Public Health, Hainan Medical University, No. 3, Xue Yuan Road, Longhua District, Haikou, 571199, People's Republic of China
| | - Xuefeidan Liu
- Department of Marine Pharmacy, School of Pharmacy, Hainan Medical University, No. 3, Xue Yuan Road, Longhua District, Haikou, 571199, People's Republic of China
| | - Xingbo Gu
- Department of Health Statistics, School of Public Health, Hainan Medical University, No. 3, Xue Yuan Road, Longhua District, Haikou, 571199, People's Republic of China.
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