Ben Singh, Mavra Ahmed, Amanda E. Staiano, Claire Gough, Jasmine Petersen, Corneel Vandelanotte, Chelsea Kracht, Christopher Huong, Zenong Yin, Maria F. Vasiloglou, Chen-Chia Pan, Camille E. Short, Matthew Mclaughlin, Lauren von Klinggraeff, Christopher D. Pfledderer, Lisa J. Moran, Alyssa M. Button, Carol A. Maher
{"title":"对用于改善生活方式的电子健康和移动健康干预措施进行系统性总体回顾和荟萃分析。","authors":"Ben Singh, Mavra Ahmed, Amanda E. Staiano, Claire Gough, Jasmine Petersen, Corneel Vandelanotte, Chelsea Kracht, Christopher Huong, Zenong Yin, Maria F. Vasiloglou, Chen-Chia Pan, Camille E. Short, Matthew Mclaughlin, Lauren von Klinggraeff, Christopher D. Pfledderer, Lisa J. Moran, Alyssa M. Button, Carol A. Maher","doi":"10.1038/s41746-024-01172-y","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":19349,"journal":{"name":"NPJ Digital Medicine","volume":null,"pages":null},"PeriodicalIF":12.4000,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226451/pdf/","citationCount":"0","resultStr":"{\"title\":\"A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours\",\"authors\":\"Ben Singh, Mavra Ahmed, Amanda E. Staiano, Claire Gough, Jasmine Petersen, Corneel Vandelanotte, Chelsea Kracht, Christopher Huong, Zenong Yin, Maria F. Vasiloglou, Chen-Chia Pan, Camille E. Short, Matthew Mclaughlin, Lauren von Klinggraeff, Christopher D. Pfledderer, Lisa J. Moran, Alyssa M. Button, Carol A. Maher\",\"doi\":\"10.1038/s41746-024-01172-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":19349,\"journal\":{\"name\":\"NPJ Digital Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":12.4000,\"publicationDate\":\"2024-07-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11226451/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NPJ Digital Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.nature.com/articles/s41746-024-01172-y\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NPJ Digital Medicine","FirstCategoryId":"3","ListUrlMain":"https://www.nature.com/articles/s41746-024-01172-y","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0
摘要
本项荟萃分析旨在系统回顾随机对照试验(RCT)证据,研究旨在改善体育锻炼、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。我们在九个电子数据库中检索了从开始到 2023 年 6 月 1 日发表的符合条件的研究。其中包括系统性综述和荟萃分析,这些系统性综述和荟萃分析对电子健康和移动健康干预措施进行了评估,这些干预措施旨在改善任何成年人群的体育锻炼、久坐行为、睡眠和健康饮食。共纳入 47 项荟萃分析,包括 507 项研究性试验和 206873 名参与者。干预措施包括移动应用程序、网络干预和短信干预,其中 14 项侧重于体育锻炼,3 项侧重于饮食,4 项侧重于睡眠,26 项评估了多种行为。元分析表明,电子健康干预和移动健康干预改善了步数/天(平均差异,MD = 1329 [95% CI = 593.9, 2065.7] 步/天)、中到强度体力活动(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)。9]分钟/周)、久坐行为(MD = -426.3 [95% CI = -850.2, -2.3]分钟/周)、水果和蔬菜摄入量(MD = 0.57 [95% CI = 0.11, 1.02]份/天)、能量摄入量(MD = -102.9 千卡/天)、饱和脂肪摄入量(MD = -5.5 克/天)和体重(MD = -1.89 [95% CI = -2.42, -1.36] 千克)。基于标准化均值差异(SMD)的分析表明,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)均有所改善。大多数亚组分析结果并不显著,这表明各种电子和移动保健干预措施在不同年龄和健康人群中均有效。这些干预措施提供了可扩展和可获得的方法,可帮助个人采取并保持更健康的行为,从而应对更广泛的公共卫生和医疗保健挑战。
A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours
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.
期刊介绍:
npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics.
The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.