活动追踪器
社会心理的
系统回顾
科克伦图书馆
荟萃分析
梅德林
医学
心理干预
BitTorrent跟踪器
物理疗法
体力活动
生活质量(医疗保健)
内科学
生物
计算机科学
精神科
生物化学
眼动
护理部
计算机视觉
作者
Ty Ferguson,Tim Olds,Rachel Curtis,Henry Blake,Alyson Crozier,Kylie A. Dankiw,Dorothea Dumuid,Daiki Kasai,Edward J. O’Connor,Rosa Virgara,Carol Maher
标识
DOI:10.1016/s2589-7500(22)00111-x
摘要
Wearable activity trackers offer an appealing, low-cost tool to address physical inactivity. This systematic review of systematic reviews and meta-analyses (umbrella review) aimed to examine the effectiveness of activity trackers for improving physical activity and related physiological and psychosocial outcomes in clinical and non-clinical populations. Seven databases (Embase, MEDLINE, Ovid Emcare, Scopus, SPORTDiscus, the Cochrane Library, and Web of Science) were searched from database inception to April 8, 2021. Systematic reviews of primary studies using activity trackers as interventions and reporting physical activity, physiological, or psychosocial outcomes were eligible for inclusion. In total, 39 systematic reviews and meta-analyses were identified, reporting results from 163 992 participants spanning all age groups, from both healthy and clinical populations. Taken together, the meta-analyses suggested activity trackers improved physical activity (standardised mean difference [SMD] 0·3–0·6), body composition (SMD 0·7–2·0), and fitness (SMD 0·3), equating to approximately 1800 extra steps per day, 40 min per day more walking, and reductions of approximately 1 kg in bodyweight. Effects for other physiological (blood pressure, cholesterol, and glycosylated haemoglobin) and psychosocial (quality of life and pain) outcomes were typically small and often non-significant. Activity trackers appear to be effective at increasing physical activity in a variety of age groups and clinical and non-clinical populations. The benefit is clinically important and is sustained over time. Based on the studies evaluated, there is sufficient evidence to recommend the use of activity trackers.
科研通智能强力驱动
Strongly Powered by AbleSci AI