The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness of e- and m-Health interventions designed to improve physical activity, sedentary behaviour, healthy eating and sleep. Nine electronic databases were searched for eligible studies published from inception to 1 June 2023. Systematic reviews with meta-analyses of RCTs that evaluate e- and m-Health interventions designed to improve physical activity, sedentary behaviour, sleep and healthy eating in any adult population were included. Forty-seven meta-analyses were included, comprising of 507 RCTs and 206,873 participants. Interventions involved mobile apps, web-based and SMS interventions, with 14 focused on physical activity, 3 for diet, 4 for sleep and 26 evaluating multiple behaviours. Meta-meta-analyses showed that e- and m-Health interventions resulted in improvements in steps/day (mean difference, MD = 1329 [95% CI = 593.9, 2065.7] steps/day), moderate-to-vigorous physical activity (MD = 55.1 [95% CI = 13.8, 96.4] min/week), total physical activity (MD = 44.8 [95% CI = 21.6, 67.9] min/week), sedentary behaviour (MD = −426.3 [95% CI = −850.2, −2.3] min/week), fruit and vegetable consumption (MD = 0.57 [95% CI = 0.11, 1.02] servings/day), energy intake (MD = −102.9 kcals/day), saturated fat consumption (MD = −5.5 grams/day), and bodyweight (MD = −1.89 [95% CI = −2.42, −1.36] kg). Analyses based on standardised mean differences (SMD) showed improvements in sleep quality (SMD = 0.56, 95% CI = 0.40, 0.72) and insomnia severity (SMD = −0.90, 95% CI = −1.14, −0.65). Most subgroup analyses were not significant, suggesting that a variety of e- and m-Health interventions are effective across diverse age and health populations. These interventions offer scalable and accessible approaches to help individuals adopt and sustain healthier behaviours, with implications for broader public health and healthcare challenges.

这项荟萃分析的目的是系统地回顾随机对照试验（RCT）证据，以检验旨在改善身体活动、久坐行为、健康饮食和睡眠的电子和移动健康干预措施的有效性。检索了九个电子数据库，查找从开始到 2023 年 6 月 1 日发表的合格研究。对旨在改善任何成年人群的身体活动、久坐行为、睡眠和健康饮食的电子和移动健康干预措施进行系统评价和随机对照试验荟萃分析被包括在内。纳入了 47 项荟萃分析，其中包括 507 项随机对照试验和 206,873 名参与者。干预措施涉及移动应用程序、基于网络的干预措施和短信干预措施，其中 14 项重点关注身体活动，3 项重点关注饮食，4 项重点关注睡眠，26 项重点评估多种行为。荟萃分析显示，电子和移动健康干预措施改善了每日步数（平均差，MD = 1329 [95% CI = 593.9, 2065.7] 步/天）、中度至剧烈体力活动（ MD = 55.1 [95% CI = 13.8, 96.4] 分钟/周），总体力活动（MD = 44.8 [95% CI = 21.6, 67.9] 分钟/周），久坐行为（MD = −426.3 [95% CI = −850.2, −2.3] 分钟/周）、水果和蔬菜消耗量（MD = 0.57 [95% CI = 0.11, 1.02] 份/天）、能量摄入量（MD = −102.9 kcals/天）、饱和脂肪消耗量（MD = −5.5 克/天）和体重（MD = −1.89 [95% CI = −2.42, −1.36] kg）。基于标准化平均差（SMD）的分析显示睡眠质量（SMD = 0.56，95% CI = 0.40，0.72）和失眠严重程度（SMD = -0.90，95% CI = -1.14，-0.65）有所改善。大多数亚组分析并不显着，这表明各种电子和移动医疗干预措施对不同年龄和健康人群都有效。 这些干预措施提供了可扩展且易于使用的方法，帮助个人采取和维持更健康的行为，对更广泛的公共卫生和医疗保健挑战产生影响。