Health and Social Research Center, Universidad de Castilla- La Mancha, Cuenca, Spain.
Universidad Politécnica y artística del Paraguay, Asunción, Paraguay.
Scand J Med Sci Sports. 2021 Apr;31(4):776-789. doi: 10.1111/sms.13903. Epub 2020 Dec 16.
To estimate the effect of eHealth interventions on increasing physical activity (PA) in healthy adults over 55 years, a systematic review and meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. MEDLINE, Cochrane, Web of Science, SPORTDiscus, and Scopus databases were searched, from inception to February 2020, for experimental studies reporting the effect of eHealth interventions on steps/day, daily moderate-to-vigorous physical activity (MVPA min/day), PA min/week, and MVPA min/week among adults over 55 years. The DerSimonian and Laird method was used to compute a pooled effect size (ES) estimate and the respective 95% confidence interval (95% CI). Eighteen studies were included in this meta-analysis with adults whose age ranged from 58 to 74.2 years. The interventions lasted between four and 52 weeks. The ES estimates of eHealth interventions on increasing PA were 0.59 (95% CI: 0.15-1.02) for steps/day, 0.49 (95% CI: 0.17-0.80) for daily MVPA, 0.13 (95% CI: 0.01-0.24) for total weekly PA and 0.31 (95% CI: 0.13-0.48) for weekly MVPA. Considering clinical improvements, the mean change difference estimates were an increase of 1616.28 steps/day (95% CI: 386.25-2846.31), 7.41 minutes of daily MVPA (95% CI: 3.24-11.57), 40.54 minutes of total weekly PA (95% CI: -8.71 to 89.79) and 56.35 minutes of weekly MVPA (95% CI: 17.43-95.27). In conclusion, eHealth interventions are effective in increasing PA levels among adults over 55 years, resulting in increased steps/day, MVPA min/day, PA min/week and MVPA min/week.
为了评估电子健康干预措施对 55 岁以上健康成年人增加身体活动(PA)的影响,我们按照系统评价和荟萃分析的首选报告项目(PRISMA)指南进行了系统评价和荟萃分析。从建库到 2020 年 2 月,我们在 MEDLINE、Cochrane、Web of Science、SPORTDiscus 和 Scopus 数据库中检索了报告电子健康干预措施对 55 岁以上成年人每天步数、每日中到高强度体力活动(MVPA min/天)、每周体力活动时间(PA min/周)和每周中到高强度体力活动时间(MVPA min/周)影响的实验研究。我们采用 DerSimonian 和 Laird 方法计算合并效应量(ES)估计值和相应的 95%置信区间(95%CI)。这项荟萃分析纳入了 18 项研究,参与者年龄在 58 岁至 74.2 岁之间。干预时间为 4 周至 52 周。电子健康干预措施对增加 PA 的 ES 估计值分别为每天步数增加 0.59(95%CI:0.15-1.02)、每日 MVPA 增加 0.49(95%CI:0.17-0.80)、每周总 PA 增加 0.13(95%CI:0.01-0.24)和每周 MVPA 增加 0.31(95%CI:0.13-0.48)。考虑到临床改善,平均变化差异估计值为每天增加 1616.28 步(95%CI:386.25-2846.31)、每日 MVPA 增加 7.41 分钟(95%CI:3.24-11.57)、每周总 PA 增加 40.54 分钟(95%CI:-8.71 至 89.79)和每周 MVPA 增加 56.35 分钟(95%CI:17.43-95.27)。总之,电子健康干预措施在增加 55 岁以上成年人的 PA 水平方面是有效的,导致每天步数、MVPA min/天、PA min/周和 MVPA min/周增加。