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A systematic review of tailored mHealth interventions for physical activity promotion among adults

Adults who receive tailored physical activity interventions on mobile devices had improvements in physical activity behavior. Abstract The purpose of this systematic review was to critically examine the effectiveness of tailored mHealth interventions for promoting physical activity (PA) in adult pop...

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Bibliographic Details
Published in:Translational behavioral medicine 2020-10, Vol.10 (5), p.1221-1232
Main Authors: Davis, Ashlee, Sweigart, Ryan, Ellis, Rebecca
Format: Article
Language:English
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Summary:Adults who receive tailored physical activity interventions on mobile devices had improvements in physical activity behavior. Abstract The purpose of this systematic review was to critically examine the effectiveness of tailored mHealth interventions for promoting physical activity (PA) in adult populations. Cochrane Library Central Register of Controlled Trials, Medline, SportDiscus, PubMed, PsycINFO, and ProQuest databases were searched systematically in June 2019. Studies were eligible if they were experimentally designed studies, included adult populations (18+ years), and consisted of a tailored intervention that was delivered via a mobile device (i.e., cell phone, tablet). The primary outcome was change in PA. Risk of bias was assessed using the Cochrane Risk of Bias 2 tool. Sixteen articles were reviewed. Ten studies reported significant positive outcomes for the intervention groups compared to the controls. Three studies reported significant improvements in PA for the tailored intervention arms compared to the non-tailored treatment arms. Four of six studies that reported no between group differences used SMS to deliver tailored materials. Differences on tailoring dimension, PA outcomes, and measurement tools were not identified between studies. Tailored mHealth interventions appear to be promising for promoting PA among adults. Most interventions used multiple intervention components. Additional research is needed to identify best practices and to make programs scalable.
ISSN:1869-6716
1613-9860
DOI:10.1093/tbm/ibz190