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

Autor: Singh B; Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia. Ben.Singh@unisa.edu.au., Ahmed M; Department of Nutritional Sciences and Joannah and Brian Lawson Centre for Child Nutrition, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada., Staiano AE; Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA., Gough C; Flinders University, College of Nursing and Health Sciences, Adelaide, SA, Australia., Petersen J; Flinders University: College of Education, Psychology and Social Work, Adelaide, SA, Australia., Vandelanotte C; Physical Activity Research Group, Appleton Institute, Central Queensland University, Rockhampton, QLD, Australia., Kracht C; Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA., Huong C; Department of Public Health, University of Texas at San Antonio, San Antonio, TX, USA., Yin Z; Department of Public Health, University of Texas at San Antonio, San Antonio, TX, USA., Vasiloglou MF; Nestlé Institute of Health Sciences, Nestlé Research, 1000, Lausanne, Switzerland., Pan CC; Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.; Department of Prevention and Health Promotion, Institute for Public Health and Nursing Research, University of Bremen, Bremen, Germany., Short CE; Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences and Melbourne School of Health Sciences (jointly appointed), University of Melbourne, Parkville, VIC, Australia., Mclaughlin M; Telethon Kids Institute, University of Western Australia, Perth, WA, Australia., von Klinggraeff L; Department of Community and Behavioral Health Sciences, Institute of Public and Preventive Health, School of Public Health, Augusta University, Augusta, GA, USA., Pfledderer CD; Department of Health Promotion and Behavorial Sciences, University of Texas Health Science Center Houston, School of Public Health in Austin, Austin, TX, USA., Moran LJ; Monash Centre for Health Research and Implementation, Monash University, Clayton, VIC, Australia., Button AM; Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA., Maher CA; Alliance for Research in Exercise Nutrition and Activity (ARENA), University of South Australia, Adelaide, SA, Australia.
Jazyk: angličtina
Zdroj: NPJ digital medicine [NPJ Digit Med] 2024 Jul 05; Vol. 7 (1), pp. 179. Date of Electronic Publication: 2024 Jul 05.
DOI: 10.1038/s41746-024-01172-y
Abstrakt: 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.
(© 2024. The Author(s).)
Databáze: MEDLINE
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