Back to Search Start Over

Multisite pain and self-reported falls in older people: systematic review and meta-analysis

Authors :
Victoria K. Welsh
Lorna E. Clarson
Christian D. Mallen
John McBeth
Source :
Arthritis Research & Therapy, Vol 21, Iss 1, Pp 1-8 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

Abstract Background Multisite pain and falls are common in older people, and isolated studies have identified multisite pain as a potential falls risk factor. This study aims to synthesise published literature to further explore the relationship between multisite pain and falls and to quantify associated risks. Methods Bibliographic databases were searched from inception to December 2017. Studies of community-dwelling adults aged 50 years and older with a multisite pain measurement and a falls outcome were included. Two reviewers screened articles, undertook quality assessment and extracted data. Random-effects meta-analysis was used to pool the effect estimate (odds ratio (OR) and 95% confidence interval (95%CI)). Heterogeneity was assessed by I 2; sensitivity analyses used adjusted risk estimates and exclusively longitudinal studies. Results The search identified 49,577 articles, 3145 underwent abstract review, 22 articles were included in the systematic review and 18 were included in the meta-analysis. The unadjusted pooled OR of 1.82 (95%CI 1.55–2.13), demonstrating that those reporting multisite pain are at increased risk of falls, is supported by the adjusted pooled OR of 1.56 (95%CI 1.39–1.74). Multisite pain predicts future falls risk (OR = 1.74 (95%CI 1.57–1.93)). For high-quality studies, those reporting multisite pain have double the odds of a future fall compared to their pain-free counterparts. Conclusion Multisite pain is associated with an increased future falls risk in community-dwelling older people. Increasing public awareness of multisite pain as a falls risk factor and advising health and social care professionals to identify older people with multisite pain to signpost accordingly will enable timely falls prevention strategies to be implemented.

Details

Language :
English
ISSN :
14786362
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Arthritis Research & Therapy
Publication Type :
Academic Journal
Accession number :
edsdoj.f4cf3dfadc6f45aeabd1e49609d9efd0
Document Type :
article
Full Text :
https://doi.org/10.1186/s13075-019-1847-5