A Systematic Review of Application and Effectiveness of mHealth Interventions for Obesity and Diabetes Treatment and Self-Management
Open accessAbstract
The use of mobile and wireless technologies and wearable devices for improving health care processes and outcomes (mHealth) is promising for health promotion among patients with chronic diseases such as obesity and diabetes. This study comprehensively examined published mHealth intervention studies for obesity and diabetes treatment and management to assess their effectiveness and provide recommendations for future research. We systematically searched PubMed for mHealth-related studies on diabetes and obesity treatment and management published during 2000-2016. Relevant information was extracted and analyzed. Twenty-four studies met inclusion criteria and varied in terms of sample size, ethnicity, gender, and age of the participating patients and length of follow-up. The mHealth interventions were categorized into 3 types: mobile phone text messaging, wearable or portable monitoring devices, and applications running on smartphones. Primary outcomes included weight loss (an average loss ranging from -1.97 kg in 16 wk to -7.1 kg in 5 wk) or maintenance and blood glucose reduction (an average decrease of glycated hemoglobin ranging from -0.4% in 10 mo to -1.9% in 12 mo); main secondary outcomes included behavior changes and patient perceptions such as self-efficacy and acceptability of the intervention programs. More than 50% of studies reported positive effects of interventions based on primary outcomes. The duration or length of intervention ranged from 1 wk to 24 mo. However, most studies included small samples and short intervention periods and did not use rigorous data collection or analytic approaches. Although some studies suggest that mHealth interventions are effective and promising, most are pilot studies or have limitations in their study designs. There is an essential need for future studies that use larger study samples, longer intervention (≥ 6 mo) and follow-up periods (≥ 6 mo), and integrative and personalized innovative mobile technologies to provide comprehensive and sustainable support for patients and health service providers.
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Designing incentives/motivations for primary healthcare providers and patients to use digital health facilitates the uptake, while lack of that could be a barrier.
“Designing incentives/motivations for primary healthcare providers and patients to use digital health facilitates the uptake, while lack of that could be a barrier.”
From Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries (2023) · cites this paper as [51]
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- Authors
- Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D.
- Affiliations
- Johns Hopkins University (US)
- Ball State University (US)
- Jilin University (CN)
- North University of China (CN)
- Corresponding author
- Wang, Youfa
- Zhang, Dongsong
- Venue
- Advances in Nutrition
- Publisher
- Elsevier BV
- Published
- 2017-05
- Volume
- 8
- Issue
- 3
- Pages
- 449-462
- ISSN
- 2156-5376 (ISSN-L)
- 2161-8313
- PMC
- PMC5421120
- OpenAlex
- W2615354466
- Cited by
- 310
- References
- 63
- Citations by year
- 2026: 12 · 2025: 25 · 2024: 32 · 2023: 37 · 2022: 66 · 2021: 52 · 2020: 39 · 2019: 23 · 2018: 18 · 2017: 6
- FWCI
- 4.14
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Advances in Nutrition (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (HD070725)
- NIH Office of the Director (U54HD070725, 1R01HD064685-01A1)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK081335)
- National Institute of Child Health and Human Development
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD064685, U54HD070725)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Keywords
- mobile health intervention, obesity, diabetes mellitus, self-management, text messaging, wearable devices, mobile application, weight loss, HbA1c, glycemic control, self-efficacy, treatment acceptability, chronic disease management
- MeSH terms
- Self-Management, Blood Glucose, Diabetes Mellitus, Health Promotion, Humans, Obesity, Weight Loss, Telemedicine, Monitoring, Ambulatory, Cell Phone, Text Messaging, Mobile Applications
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