Physical strength and mental health mediate the association between pain and falls (recurrent and/or injurious) among community-dwelling older adults in Singapore.

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2023-04

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Abstract

Objective

This study aims to understand if poor physical strength and depression mediate the association between pain and recurrent and/or injurious falls in a community of older adults.

Methods

Data was obtained from a nationally representative longitudinal cohort study conducted in Singapore, PHASE (Wave I and II), which collected information from community-dwelling older adults above 60 years old. A hurdle negative binomial regression and binomial logistic regression were used to assess the association between pain and recurrent falls, and pain and injurious falls respectively. A subsequent mediation analysis was conducted.

Results

Almost half of the participants (N = 1144, 39.7%) reported having either mild, moderate, or severe pain at baseline, 166 (5.4%) participants experienced injurious falls and 144 (4.7%) participants experienced recurrent falls at Wave II. After adjusting for covariates, the presence of pain significantly influenced recurrent (OR 2.8; 95% CI: 1.8, 4.4) and injurious falls (OR: 1.8; 95% CI: 1.3, 2.5). Mediation analyses demonstrated that poor physical strength and depression had a significant mediation effect between all pain characteristics on recurrent falls. Poor physical strength partially mediates the effects of pain and injurious falls as well. However, the mediating effect of poor physical strength and depression was not observed between other pain characteristics and injurious falls.

Conclusions

The findings highlighted differences in the underlying mechanisms between pain characteristics affecting recurrent and injurious falls. These insights will be useful for identifying patients most at risk for recurrent or injurious falls, and for tailoring future community-based fall intervention programmes.

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Published Version (Please cite this version)

10.1016/j.archger.2023.105015

Publication Info

Koh, Vanessa, David B Matchar and Angelique Chan (2023). Physical strength and mental health mediate the association between pain and falls (recurrent and/or injurious) among community-dwelling older adults in Singapore. Archives of gerontology and geriatrics, 112. p. 105015. 10.1016/j.archger.2023.105015 Retrieved from https://hdl.handle.net/10161/27286.

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Scholars@Duke

Matchar

David Bruce Matchar

Professor of Medicine

My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings. Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention.
Notable features of my work are: (1) reliance on analytic strategies such as meta-analysis, simulation, decision analysis and cost-effectiveness analysis; (2) a balancing of methodological rigor the needs of medical professionals; and (3) dependence on interdisciplinary groups of experts.
This approach is best illustrated by the Stroke Prevention Patient Outcome Research Team (PORT), for which I served as principal investigator. Funded by the AHCPR, the PORT involved 35 investigators at 13 institutions. The Stroke PORT has been highly productive and has led to a stroke prevention project funded as a public/private partnership by the AHCPR and DuPont Pharma, the Managing Anticoagulation Services Trial (MAST). MAST is a practice improvement trial in 6 managed care organizations, focussing on optimizing anticoagulation for individuals with atrial fibrillation.
I serve as consultant in the general area of analytic strategies for clinical policy development, as well as for specific projects related to stroke (e.g., acute stroke treatment, management of atrial fibrillation, and use of carotid endarterectomy.) I have worked with AHCPR (now AHRQ), ACP, AHA, AAN, Robert Wood Johnson Foundation, NSA, WHO, and several pharmaceutical companies.
Key Words: clinical policy, disease management, stroke, decision analysis, clinical guidelines


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