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Do smartphone applications and activity trackers increase physical activity in adults? Systematic review, meta-analysis and metaregression

机译:智能手机应用程序和活动跟踪器会增加成人的身体活动吗? 系统审查,荟萃分析和迈运

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To determine the effectiveness of physical activity interventions involving mobile applications (apps) or trackers with automated and continuous self-monitoring and feedback.Systematic review and meta-analysis.PubMed and seven additional databases, from 2007 to 2020.Randomised controlled trials in adults (18–65 years old) without chronic illness, testing a mobile app or an activity tracker, with any comparison, where the main outcome was a physical activity measure. Independent screening was conducted.We conducted random effects meta-analysis and all effect sizes were transformed into standardised difference in means (SDM). We conducted exploratory metaregression with continuous and discrete moderators identified as statistically significant in subgroup analyses.Physical activity: daily step counts, min/week of moderate-to-vigorous physical activity, weekly days exercised, min/week of total physical activity, metabolic equivalents.Thirty-five studies met inclusion criteria and 28 were included in the meta-analysis (n=7454 participants, 28% women). The meta-analysis showed a small-to-moderate positive effect on physical activity measures (SDM 0.350, 95%?CI 0.236 to 0.465, I2=69%, 2=0.051) corresponding to 1850 steps per day (95%?CI 1247 to 2457). Interventions including text-messaging and personalisation features were significantly more effective in subgroup analyses and metaregression.Interventions using apps or trackers seem to be effective in promoting physical activity. Longer studies are needed to assess the impact of different intervention components on long-term engagement and effectiveness.
机译:确定涉及移动应用程序(应用程序)或跟踪器的身体活动干预的有效性,具有自动化和持续的自我监控和反馈。系统性评论和META分析.PubMed和七个额外数据库,从2007年到2020年。成人的治疗对照试验( 18-65岁)没有慢性疾病,测试移动应用程序或活动跟踪器,任何比较,主要结果是体育活动措施。进行独立的筛选。我们进行随机效应Meta分析,并且所有效果大小都转化为平均值(SDM)的标准化差异。我们用连续和离散的主持人进行了探索性型路,鉴定在亚组分析中具有统计学意义。物理活动:每日步骤计数,中度至剧烈的身体活动的每周/周,每周锻炼,总体身体活动的最小/周,代谢等同物.Thirty-五项研究符合纳入标准和28次包括在荟萃分析中(N = 7454名参与者,28%妇女)。 Meta分析表明,对应于每天1850步(95%ΔCI1247的1850步(95%ΔCI1247到2457)。包括文本消息和个性化功能的干预措施在子组分析和MOTAREGRONION中显着更有效。使用应用程序或跟踪器的INTERVENTIONS似乎有效地促进身体活动。需要更长的研究来评估不同干预组分对长期参与和有效性的影响。

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