Systematic review and meta-analysis of smart-technology vs. face-to-face physical activity interventions in older adults (Preprint)

Author:

D'Amore CassandraORCID,Reid Julie C,Chan Matthew,Fan Samuel,Huang Amanda,Louie Jonathan,Tran Andy,Chauvin Stephanie,Beauchamp Marla KORCID

Abstract

BACKGROUND

This is a systematic review of randomized controlled trials and a meta-analysis comparing smart-technology to face-to-face physical activity (PA) interventions, in community-dwelling older adults, mean age greater than or equal 60 years.

OBJECTIVE

To determine the effect of smart-technology interventions compared to face-to-face PA interventions on PA and physical function in older adults. Our secondary outcomes were depression, anxiety, and health-related quality of life.

METHODS

We searched four electronic databases from inception to February 2021. Two independent reviewers screened titles/abstracts, full texts, and performed data extraction and risk of bias assessments using the Cochrane risk of bias tool. GRADE was used to evaluate the quality of the evidence. We provided a narrative synthesis on all included studies and, where possible, we performed meta-analyses for similar outcomes.

RESULTS

19 studies with a total of 3455 patients were included. Random-effects meta-analyses showed that smart-technology interventions resulted in improved step count (mean difference 1440 steps, 95% confidence interval (CI) 500, 2390) and total PA (standardized mean difference 0.17, 95% CI 0.02, 0.32) compared to face-face interventions. The quality of the evidence for the effects of smart-technology interventions was very low based on GRADE criteria. There was no difference between groups for measures of physical function.

CONCLUSIONS

Interventions that include smart-technology may improve daily step counts by an average of 1440 steps in community dwelling older adults, however the quality of the evidence was very low. Future studies are needed to improve the certainty of results.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3