A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours

Author:

Singh BenORCID,Ahmed Mavra,Staiano Amanda E.ORCID,Gough Claire,Petersen Jasmine,Vandelanotte Corneel,Kracht Chelsea,Huong ChristopherORCID,Yin Zenong,Vasiloglou Maria F.ORCID,Pan Chen-ChiaORCID,Short Camille E.,Mclaughlin MatthewORCID,von Klinggraeff LaurenORCID,Pfledderer Christopher D.ORCID,Moran Lisa J.,Button Alyssa M.ORCID,Maher Carol A.ORCID

Abstract

AbstractThe 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.

Funder

Australian Research Council (ARC) Future Fellowship

Société des Produits Nestlé SA

Leibniz ScienceCampus Bremen Digital Public Health

Victoria Cancer Agency Mid-Career Fellowship

Research Council's Centre of Excellence for Children and Families over the Life Course

Veski Fellowship

Medical Research Future Fund Emerging Leader Grant

Publisher

Springer Science and Business Media LLC

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