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Multimorbidity patterns and the risk of falls among older adults: a community-based study in China

Authors :
Xin-Yi Nie
Xing-Xuan Dong
Heng Lu
Dan-Lin Li
Chun-Hua Zhao
Yueqing Huang
Chen-Wei Pan
Source :
BMC Geriatrics, Vol 24, Iss 1, Pp 1-8 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background Due to the high prevalence of multimorbidity and realistic health service demands for fall prevention, there is growing interest in the association between multimorbidity and falls. Our study aimed to identify multimorbidity patterns among Chinese older adults and explore the association between multimorbidity patterns and falls. Methods Data from 4,579 Chinese community-dwelling older adults was included in this analysis. Information regarding falls and 10 chronic conditions was collected. An exploratory factor analysis was performed to determine multimorbidity patterns. Regression models were fitted to explore the associations of individual chronic disease or multimorbidity patterns with falls. Results Among 4,579 participants, 368 (8.0%) were defined as fallers, including 92 (2.0%) frequent fallers, and multimorbidity affected 2,503 (54.7%) participants. Older adults with multimorbidity were more likely to be fallers [odds ratio (OR) = 1.3, P = 0.02] and frequent fallers (OR = 1.7, P = 0.04). Three multimorbidity patterns were identified (i.e., cardiovascular-metabolic diseases, psycho-cognitive diseases and organic diseases), and the associations between psycho-cognitive diseases/organic diseases and prevalent falls or frequent falls were found to be significant. Conclusions The psycho-cognitive disease pattern and organic disease pattern are significantly associated with falls. Therefore, more attention should be paid to patients with psycho-cognitive diseases and timely, targeted diagnostic and treatment services should be provided in fall prevention.

Details

Language :
English
ISSN :
14712318
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Geriatrics
Publication Type :
Academic Journal
Accession number :
edsdoj.0bdf52a251444192aa380dd4f16c8851
Document Type :
article
Full Text :
https://doi.org/10.1186/s12877-024-05245-1