■尽管身体活动对健康有益,大量的老年人仍然保持久坐不动的生活方式或缺乏运动。该网络荟萃分析(NMA)旨在比较基于可穿戴活动跟踪器的干预(WAT)的有效性。电子和移动健康干预(E&MH),结构化锻炼计划干预(SEP),经济激励干预(FI)促进老年人体力活动和减少久坐时间。
■基于PRISMA指南的系统审查,对PubMed进行系统的文献检索,WebofScience,谷歌学者,EMBase,科克伦图书馆,Scopus从成立到2022年12月10日进行了搜索。纳入随机对照试验(RCT)。两名评审员独立进行研究选择,数据提取,证据评估的偏倚风险和确定性。效果测量为每日步数的标准均差(SMD)和95%置信区间(CI),中等至剧烈的体力活动(MVPA)和久坐时间。
■共有69项研究,14,120名参与者被纳入NMA。在这些研究中,每日步骤的结果,55、25和15项研究报告了MVPA和久坐时间,分别。NMA一致性模型分析表明,以下干预措施的概率最高(累积排名下的表面,SUCRA)与对照组相比最佳:每日步数的FIWAT(SUCRA=96.6%;SMD=1.32,95%CI:0.77,1.86),WAT+E&MH+SEP为MVPA(SUCRA=91.2%;SMD=0.94,95%CI:0.36,1.52),WAT+E&MH+SEP为久坐时间(SUCRA=80.3%;SMD=-0.50,95%CI:-0.87,-0.14)。日常步骤证据的质量,MVPA和久坐时间被评价为很低,非常低,分别。
■在此NMA中,有低质量的证据表明,经济激励与可穿戴活动跟踪器相结合是增加老年人每日步数的最有效干预措施,可穿戴活动跟踪器结合电子和移动健康和结构化锻炼计划是帮助老年人增加MVPA和减少久坐时间的最有效干预措施。
UNASSIGNED: Despite the well-established health benefits of physical activity, a large population of older adults still maintain sedentary life style or physical inactivity. This network meta-analysis (NMA) aimed to compare the effectiveness of wearable activity tracker-based intervention (WAT), electronic and mobile health intervention (E&MH), structured exercise program intervention (SEP), financial incentive intervention (FI) on promoting physical activity and reducing sedentary time in older adults.
UNASSIGNED: The systematic review based on PRISMA guidelines, a systematic literature search of PubMed, Web of Science, Google Scholar, EMbase, Cochrane Library, Scopus were searched from inception to December 10th 2022. The randomized controlled trials (RCT) were included. Two reviewers independently conducted study selection, data extraction, risk of bias and certainty of evidence assessment. The effect measures were standard mean differences (SMD) and 95% confidence interval (CI) in daily steps, moderate-to-vigorous physical activity (MVPA) and sedentary time.
UNASSIGNED: A total of 69 studies with 14,120 participants were included in the NMA. Among these included studies, the results of daily steps, MVPA and sedentary time was reported by 55, 25 and 15 studies, respectively. The NMA consistency model analysis suggested that the following interventions had the highest probability (surface under the cumulative ranking, SUCRA) of being the best when compared with control: FI + WAT for daily steps (SUCRA = 96.6%; SMD = 1.32, 95% CI:0.77, 1.86), WAT + E&MH + SEP for MVPA (SUCRA = 91.2%; SMD = 0.94, 95% CI: 0.36, 1.52) and WAT + E&MH + SEP for sedentary time (SUCRA = 80.3%; SMD = -0.50, 95% CI: -0.87, -0.14). The quality of the evidences of daily steps, MVPA and sedentary time was evaluated by very low, very low and low, respectively.
UNASSIGNED: In this NMA, there\'s low quality evidence that financial incentive combined with wearable activity tracker is the most effective intervention for increasing daily steps of older adults, wearable activity tracker combined with electronic and mobile health and structured exercise program is the most effective intervention to help older adults to increase MVPA and reduce sedentary time.