Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis

• Published in: American journal of preventive medicine Vol. 66; no. 6; pp. 1060 - 1070
• Main Authors: Jahan, Esrat, Almansour, Rawan, Ijaz, Kiran, Baptista, Shaira, Giordan, Leticia Bezerra, Ronto, Rimante, Zaman, Sarah, O'Hagan, Edel, Laranjo, Liliana
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01-06-2024
• Subjects: meta-analysis; smartphone app; type 2 diabetes; systematic review; prediabetes
• ISSN: 0749-3797; 1873-2607; 1873-2607
• DOI: 10.1016/j.amepre.2024.01.008

Evidence supporting the use of apps for lifestyle behavior change and diabetes prevention in people at high risk of diabetes is lacking. The aim of this systematic review was to determine the acceptability and effectiveness of smartphone applications (apps) for the prevention of type 2 diabetes.
PubMed, Embase, CINAHL and PsychInfo were searched from 2008 to 2023. Included studies involved adults at high risk of developing diabetes evaluating an app intervention with the aim of preventing type 2 diabetes. Random-effects meta-analyses were conducted for weight loss, body mass index (BMI), glycated hemoglobin, and waist circumference. Narrative synthesis was conducted for all studies, including qualitative studies exploring user perspectives.
Twenty-four studies (n=2,378) were included in this systematic review, including 9 randomized controlled trials (RCTs) with an average duration of 6 months, 10 quasi-experimental and 7 qualitative studies. Socially disadvantaged groups were poorly represented. Six RCTs were combined in meta-analyses. Apps were effective at promoting weight loss [mean difference (MD) −1.85; 95% CI −2.90 to −0.80] and decreasing BMI [MD −0.90, 95% CI −1.53 to −0.27], with no effect on glycated hemoglobin and waist circumference. No studies reported on diabetes incidence. Qualitative studies highlighted the need for app personalization.
Smartphone apps have a promising effect on preventing type 2 diabetes by supporting weight loss. Future robust trials should include diverse populations in co-design and evaluation of apps and explore the role of artificial intelligence in further personalizing interventions for higher engagement and effectiveness.