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智能手机应用程序能否增加身体活动?系统评价与荟萃分析。

Can Smartphone Apps Increase Physical Activity? Systematic Review and Meta-Analysis.

作者信息

Romeo Amelia, Edney Sarah, Plotnikoff Ronald, Curtis Rachel, Ryan Jillian, Sanders Ilea, Crozier Alyson, Maher Carol

机构信息

School of Health Sciences, University of South Australia, Adelaide, Australia.

Alliance for Research in Exercise, Nutrition and Activity, School of Health Sciences, University of South Australia, Adelaide, Australia.

出版信息

J Med Internet Res. 2019 Mar 19;21(3):e12053. doi: 10.2196/12053.

Abstract

BACKGROUND

Smartphone apps are a promising tool for delivering accessible and appealing physical activity interventions. Given the large growth of research in this field, there are now enough studies using the "gold standard" of experimental design-the randomized controlled trial design-and employing objective measurements of physical activity, to support a meta-analysis of these scientifically rigorous studies.

OBJECTIVE

This systematic review and meta-analysis aimed to determine the effectiveness of smartphone apps for increasing objectively measured physical activity in adults.

METHODS

A total of 7 electronic databases (EMBASE, EmCare, MEDLINE, Scopus, Sport Discus, The Cochrane Library, and Web of Science) were searched from 2007 to January 2018. Following the Population, Intervention, Comparator, Outcome and Study Design format, studies were eligible if they were randomized controlled trials involving adults, used a smartphone app as the primary or sole component of the physical activity intervention, used a no- or minimal-intervention control condition, and measured objective physical activity either in the form of moderate-to-vigorous physical activity minutes or steps. Study quality was assessed using a 25-item tool based on the Consolidated Standards of Reporting Trials checklist. A meta-analysis of study effects was conducted using a random effects model approach. Sensitivity analyses were conducted to examine whether intervention effectiveness differed on the basis of intervention length, target behavior (physical activity alone vs physical activity in combination with other health behaviors), or target population (general adult population vs specific health populations).

RESULTS

Following removal of duplicates, a total of 6170 studies were identified from the original database searches. Of these, 9 studies, involving a total of 1740 participants, met eligibility criteria. Of these, 6 studies could be included in a meta-analysis of the effects of physical activity apps on steps per day. In comparison with the control conditions, smartphone apps produced a nonsignificant (P=.19) increase in participants' average steps per day, with a mean difference of 476.75 steps per day (95% CI -229.57 to 1183.07) between groups. Sensitivity analyses suggested that physical activity programs with a duration of less than 3 months were more effective than apps evaluated across more than 3 months (P=.01), and that physical activity apps that targeted physical activity in isolation were more effective than apps that targeted physical activity in combination with diet (P=.04). Physical activity app effectiveness did not appear to differ on the basis of target population.

CONCLUSIONS

This meta-analysis provides modest evidence supporting the effectiveness of smartphone apps to increase physical activity. To date, apps have been most effective in the short term (eg, up to 3 months). Future research is needed to understand the time course of intervention effects and to investigate strategies to sustain intervention effects over time.

摘要

背景

智能手机应用程序是一种很有前景的工具,可用于提供便捷且有吸引力的体育活动干预措施。鉴于该领域研究的大量增长,现在有足够多的研究采用实验设计的“金标准”——随机对照试验设计,并采用体育活动的客观测量方法,以支持对这些科学严谨的研究进行荟萃分析。

目的

本系统评价和荟萃分析旨在确定智能手机应用程序对增加成年人客观测量的体育活动的有效性。

方法

从2007年至2018年1月,共检索了7个电子数据库(EMBASE、EmCare、MEDLINE、Scopus、Sport Discus、Cochrane图书馆和Web of Science)。按照人群、干预措施、对照、结局和研究设计的格式,符合以下条件的研究为合格研究:它们是涉及成年人的随机对照试验,使用智能手机应用程序作为体育活动干预的主要或唯一组成部分,使用无干预或最小干预的对照条件,并以中度至剧烈体育活动分钟数或步数的形式测量客观体育活动。使用基于《报告试验的统一标准》清单的25项工具评估研究质量。使用随机效应模型方法对研究效应进行荟萃分析。进行敏感性分析以检查干预效果是否因干预时长、目标行为(仅体育活动与体育活动与其他健康行为相结合)或目标人群(一般成年人群与特定健康人群)而有所不同。

结果

在去除重复项后,从原始数据库搜索中总共识别出6170项研究。其中,9项研究共涉及1740名参与者,符合纳入标准。其中,6项研究可纳入体育活动应用程序对每日步数影响的荟萃分析。与对照条件相比,智能手机应用程序使参与者的每日平均步数有不显著的增加(P = 0.19),两组之间的平均差异为每日476.75步(95% CI -229.57至1183.07)。敏感性分析表明,持续时间少于3个月的体育活动计划比评估时间超过3个月的应用程序更有效(P = 0.01),并且单独针对体育活动的应用程序比与饮食相结合来针对体育活动的应用程序更有效(P = 0.04)。体育活动应用程序的有效性似乎不因目标人群而有所不同。

结论

这项荟萃分析提供了适度的证据,支持智能手机应用程序在增加体育活动方面的有效性。迄今为止,应用程序在短期内(例如长达3个月)最为有效。需要进一步的研究来了解干预效果的时间进程,并研究如何随着时间的推移维持干预效果的策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0cfb/6444212/c7758f8bda1f/jmir_v21i3e12053_fig1.jpg

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