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利用移动健康干预措施促进工人的身体活动和减肥：随机对照试验的系统评价和荟萃分析。

Promoting Physical Activity and Weight Loss With mHealth Interventions Among Workers: Systematic Review and Meta-analysis of Randomized Controlled Trials.

机构信息

Department of Nursing, Korea National Open University, Seoul, Republic of Korea.

College of Nursing, Korea University, Seoul, Republic of Korea.

出版信息

JMIR Mhealth Uhealth. 2022 Jan 21;10(1):e30682. doi: 10.2196/30682.

DOI:10.2196/30682
PMID:35060913
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8817216/
Abstract

BACKGROUND: Physical activity (PA) is a vital factor in promoting health in the workforce. Mobile health (mHealth) interventions have recently emerged in workplace health promotion as an effective strategy for inducing changes in health behaviors among workers; however, the effectiveness of mHealth interventions in promoting PA and weight loss for workers is unclear. OBJECTIVE: This study aims to provide a comprehensive analysis of current evidence on the effectiveness of mHealth interventions in promoting PA and weight loss among workers. METHODS: We searched relevant databases, including PubMed, Embase, CINAHL Complete, and the Cochrane Library, for publications on mHealth interventions in the English or Korean language from inception to December 2020. Randomized controlled trials that evaluated the effectiveness of mHealth in improving PA and weight loss were retrieved. A meta-analysis with a random effects model and subgroup analyses was performed on PA types and mHealth intervention characteristics. RESULTS: A total of 8 studies were included in this analysis. More than half of the studies (5/8, 63%) were identified as having a high risk of bias. The mHealth intervention group showed a significant improvement in PA (standardized mean difference [SMD] 0.22, 95% CI 0.03-0.41; P<.001; I=78%). No significant difference in weight loss was observed when comparing the intervention group with the control groups (SMD 0.02, 95% CI -0.07 to 0.10; P=.48; I=0%). A subgroup analysis was also performed; walking activity (SMD 0.70, 95% CI 0.21-1.19; P<.001; I=83.3%), a multicomponent program (SMD 0.19, 95% CI 0.05-0.33; P=.03; I=57.4%), objective measurement (SMD 0.58, 95% CI 0.05-1.10; P<.001; I=87.3%), and 2 or more delivery modes (SMD 0.44, 95% CI 0.01-0.87; P<.001; I=85.1%) were significantly associated with an enhancement in PA. CONCLUSIONS: This study suggests that mHealth interventions are effective for improving PA among workers. Future studies that assess long-term efficacy with a larger population are recommended.

摘要

背景：体力活动（PA）是促进劳动力健康的重要因素。移动健康（mHealth）干预措施最近作为一种在工人中诱导健康行为改变的有效策略出现在工作场所健康促进中；然而，mHealth 干预措施在促进工人的 PA 和减肥方面的效果尚不清楚。

目的：本研究旨在对 mHealth 干预措施在促进工人 PA 和减肥方面的有效性进行全面分析。

方法：我们检索了相关数据库，包括 PubMed、Embase、CINAHL Complete 和 Cochrane Library，以获取自成立以来至 2020 年 12 月有关英语或韩语 mHealth 干预措施的出版物。检索了评估 mHealth 在改善 PA 和减肥方面有效性的随机对照试验。对 PA 类型和 mHealth 干预特征进行了随机效应模型和亚组分析的荟萃分析。

结果：本分析共纳入 8 项研究。超过一半的研究（5/8，63%）被确定为存在高偏倚风险。mHealth 干预组在 PA 方面有显著改善（标准化均数差[SMD]0.22，95%置信区间 0.03-0.41；P<.001；I=78%）。与对照组相比，干预组的体重减轻没有显著差异（SMD 0.02，95%置信区间-0.07 至 0.10；P=.48；I=0%）。还进行了亚组分析；步行活动（SMD 0.70，95%置信区间 0.21-1.19；P<.001；I=83.3%）、多组分方案（SMD 0.19，95%置信区间 0.05-0.33；P=.03；I=57.4%）、客观测量（SMD 0.58，95%置信区间 0.05-1.10；P<.001；I=87.3%）和 2 种或更多种传递模式（SMD 0.44，95%置信区间 0.01-0.87；P<.001；I=85.1%）与 PA 增强显著相关。

结论：本研究表明，mHealth 干预措施可有效提高工人的 PA。建议未来的研究使用更大的人群来评估长期疗效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/39a3db25ee71/mhealth_v10i1e30682_fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/97f942c29dfd/mhealth_v10i1e30682_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/e81e6f93f59d/mhealth_v10i1e30682_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/8a67506a9ff4/mhealth_v10i1e30682_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/a58fa67bd0e2/mhealth_v10i1e30682_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/df37b6e8ae3f/mhealth_v10i1e30682_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/a46e09a15232/mhealth_v10i1e30682_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/ba3753e366af/mhealth_v10i1e30682_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/6bee8154e8e7/mhealth_v10i1e30682_fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/10aa466b84f9/mhealth_v10i1e30682_fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/b051806c9ef0/mhealth_v10i1e30682_fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/39a3db25ee71/mhealth_v10i1e30682_fig11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/97f942c29dfd/mhealth_v10i1e30682_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/e81e6f93f59d/mhealth_v10i1e30682_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/8a67506a9ff4/mhealth_v10i1e30682_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/a58fa67bd0e2/mhealth_v10i1e30682_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/df37b6e8ae3f/mhealth_v10i1e30682_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/a46e09a15232/mhealth_v10i1e30682_fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/ba3753e366af/mhealth_v10i1e30682_fig7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/6bee8154e8e7/mhealth_v10i1e30682_fig8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/10aa466b84f9/mhealth_v10i1e30682_fig9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/b051806c9ef0/mhealth_v10i1e30682_fig10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e53a/8817216/39a3db25ee71/mhealth_v10i1e30682_fig11.jpg

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[1]
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JMIR Mhealth Uhealth. 2019-4-12

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