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Beyond BMI: A Systematic Review and Meta-Analysis of mHealth Interventions for Pediatric Obesity Management
Ema Burlacu1, Samuel-Andrei Dunăreanu2, Cristina Oana Mărginean3
1Doctoral School, "George Emil Palade" University of Medicine, Pharmacy, Science and Technology of Targu Mures, Georghe Marinescu Street No 38, 540136 Mures, Romania.
Insights
Mobile health (mHealth) interventions significantly reduce BMI z-scores in pediatric obesity (PO) management. Hybrid models combining digital tools with human support improve engagement and sustained effects for better PO outcomes.
Area of Science:
- Public Health
- Digital Health
- Pediatric Medicine
Background:
- Pediatric obesity (PO) is a chronic condition necessitating multidisciplinary care.
- mHealth interventions are increasingly recognized as essential tools for PO management.
- Guidelines advocate for patient-centered, accessible solutions in PO care.
Conclusions:
- mHealth interventions are effective in managing pediatric obesity when part of a multidisciplinary approach.
- Future mHealth protocols should focus on developmental tailoring for sustained engagement, empowering parents and adolescents.
- A clinical focus beyond BMI, incorporating behavioral changes and body composition, is crucial for comprehensive PO management.
Abstract:
Background: Pediatric obesity (PO) is a chronic disease requiring multidisciplinary management. Recent clinical guidelines emphasize the need for accessible, patient-centered solutions, positioning mHealth interventions as vital "clinical extenders" in modern practice. Objective: This systematic review and meta-analysis evaluate the efficacy and evolution of mHealth interventions for PO management between 2020 and 2026. Methods: A systematic search of electronic databases identified randomized controlled trials (RCTs) investigating mHealth for PO. Quality was assessed using the Cochrane RoB 2 tool, and a meta-analysis was performed on a subset of studies reporting zBMI data. Results: Twenty-three RCTs met the inclusion criteria, of which six were included in the quantitative synthesis. The meta-analysis demonstrated a statistically significant reduction in BMI z-score (MD = -0.20; 95% CI: -0.36 to -0.04; p = 0.02), with moderate heterogeneity (I2 = 60%; Q = 13.5, p = 0.019). Beyond anthropometric outcomes, mHealth interventions consistently improved behavioral parameters, including dietary quality and sedentary time. However, engagement declined over time in standalone digital interventions ("mHealth fade-out"), whereas hybrid models integrating human support demonstrated improved retention and sustained effects. Anthropometric and behavioral outcomes showed partially divergent trajectories, with behavioral improvements often preceding measurable changes in BMI, and data on body composition were rarely reported, limiting a more precise understanding of changes in adiposity beyond BMI. Conclusions: mHealth is an effective catalyst for obesity management when integrated into a multidisciplinary framework. Future protocols must prioritize developmental tailoring-targeting parental empowerment in early childhood and encouraging adolescent autonomy-to ensure sustained engagement and a clinical focus that looks beyond BMI.
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