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智能手机应用程序促进身体活动的有效性:系统评价与荟萃分析。

Effectiveness of Mobile Applications Running on Smartphones to Promote Physical Activity: A Systematic Review with Meta-Analysis.

机构信息

CINTESIS.UA, School of Health Sciences, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

School of Health Sciences, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

出版信息

Int J Environ Res Public Health. 2020 Mar 27;17(7):2251. doi: 10.3390/ijerph17072251.

Abstract

Mobile applications reach a high number of individuals at low costs. This systematic review investigated the effectiveness of mobile application-based interventions to increase physical activity (PA) and self-efficacy and to decrease sedentarism. Randomized controlled trials (RCTs) and quasi-RCTs investigating the effect of PA interventions using an app compared to no intervention or traditional interventions were included. Pooled effects using the standardized mean difference (SMD) or the weighted mean difference (WMD) were calculated and the overall quality of the evidence was rated using the GRADE. Eleven studies were included. In the short term, pooled estimates showed a small and positive effect in the number of steps favoring interventions using a mobile app when compared with no interventions (WMD = 1579.04, 95%CI 454.04 to 2703.38) and with traditional interventions (WMD = 665.96, 95%CI 167.92 to 1164.00). For self-efficacy and at follow-up, results favoured traditional interventions (WMD = -8.20, 95%CI -14.25 to -2.15). Non-significant results were found for the remaining comparisons. The quality of the evidence ranged from very low to low. There is very low to low quality evidence that interventions using mobile apps running on smartphones, when combined with traditional interventions, are superior to traditional interventions in the short term. Further high-quality studies are required.

摘要

移动应用程序以低成本覆盖大量人群。本系统评价研究了基于移动应用程序的干预措施对增加身体活动(PA)和自我效能以及减少久坐行为的有效性。纳入了使用应用程序进行 PA 干预的随机对照试验(RCT)和准 RCT,与无干预或传统干预进行比较。使用标准化均数差(SMD)或加权均数差(WMD)计算汇总效应,并使用 GRADE 评估证据的总体质量。纳入了 11 项研究。在短期,与无干预(WMD=1579.04,95%CI 454.04 至 2703.38)和传统干预(WMD=665.96,95%CI 167.92 至 1164.00)相比,汇总估计显示,使用移动应用程序的干预措施在步数方面有较小但积极的效果。对于自我效能和随访,结果有利于传统干预(WMD=-8.20,95%CI-14.25 至-2.15)。其余比较的结果无统计学意义。证据质量从极低到低不等。有非常低到低质量的证据表明,智能手机上运行的移动应用程序干预措施与传统干预措施联合使用,在短期内优于传统干预措施。需要进一步进行高质量的研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/425f/7177448/57eea824e5c1/ijerph-17-02251-g001.jpg

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