Comparative effectiveness of exercise interventions for preventing falls in older adults: A secondary analysis of a systematic review with network meta-analysis

荟萃分析 心理干预 医学 老年人跌倒 物理医学与康复 物理疗法 心理学 老年学 伤害预防 毒物控制 环境卫生 内科学 精神科
作者
Kathryn M. Sibley,Sonia M. Thomas,Areti Angeliki Veroniki,Myanca Rodrigues,Jemila S. Hamid,Chantelle C. Lachance,Elise Cogo,Paul A. Khan,John J. Riva,Kednapa Thavorn,H. Robson MacDonald,Jayna Holroyd‐Leduc,Fabio Feldman,Gillian D. Kerr,Susan Jaglal,Sharon E. Straus,Andrea C. Tricco
出处
期刊:Experimental Gerontology [Elsevier BV]
卷期号:143: 111151-111151 被引量:31
标识
DOI:10.1016/j.exger.2020.111151
摘要

Systematic reviews have established that exercise reduces falls in older adults, however the most effective types of exercise are not known. This secondary analysis determined the comparative effectiveness of fall prevention exercise approaches.All fall prevention exercise interventions for older adults were identified from an existing search from inception until April 2017. Interventions were coded using a framework of 25 exercise types. Two reviewers independently screened studies, extracted data, and appraised risk of bias. Pairwise meta-analysis and network meta-analysis (NMA) were conducted. P-scores were used to rank exercise combinations.One hundred and sixty-nine studies were included. NMA was conducted on 73 studies (30,697 participants) for the outcome of number of fallers. The exercise combination ranked with the greatest likelihood of being most effective relative to no exercise was: anticipatory control, dynamic stability, functional stability limits, reactive control and flexibility (p-score = 0.95). This exercise combination also significantly reduced number of fallers compared to 16 other combinations. No exercise combination had a significantly greater effect on reducing number of fallers more than this combination.This analysis identified components of effective fall prevention exercise. The results can inform evidence-informed exercise recommendations and be used to design effective programs.

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