Effectiveness of a Scalable mHealth Intervention for Children With Overweight and Obesity

Child Obes. 2023 Dec;19(8):552-559. doi: 10.1089/chi.2022.0154. Epub 2022 Dec 23.

Abstract

Background: Multicomponent interventions are the first line of treatment for pediatric obesity, but are challenging to access. Mobile health (mHealth) interventions hold promise as they address commonly cited barriers for attending in person programs and have potential for wide scale dissemination. Methods: This retrospective cohort study examined data from youth who enrolled in the Kurbo program, which includes personal health coaching and a mobile app. Hierarchical linear regression was used to examine the impact of baseline percentage of the 95th% percentile for body mass index (%BMIp95), number of coaching sessions, and length of time enrolled in the program on change in %BMIp95, controlling for baseline age and sex. Results: A total of 3500 youth (mean age of 12.79 years, 71.3% female) were included. Youth experienced a 0.70 U decrease in BMI [standard deviation (SD) = 2.19] and a 4.45% decrease (SD = 8.5) in %BMIp95 over a mean of 31.5 weeks. The overall regression model was significant, R2 = 0.066, F(3,3494) = 77.18, and p < 0.001. Predictors of decrease in weight status included being female (b = -1.11, p < 0.001), higher baseline %BMIp95, (b = -0.58, p < 0.001), and greater number of coaching sessions (b = -0.12, p < 0.001), while greater time enrolled in the program (b = 0.02, p < 0.001) was associated with less change. Conclusion: Findings suggest a scalable coaching program with integrated digital tools for monitoring diet and activity can lead to significant reductions in weight status. Findings need to be replicated with more rigorous study designs, including a comparison condition and verified assessment of height and weight.

Keywords: mHealth; obesity; pediatric.

MeSH terms

  • Adolescent
  • Body Mass Index
  • Child
  • Female
  • Humans
  • Male
  • Overweight
  • Pediatric Obesity* / prevention & control
  • Retrospective Studies
  • Telemedicine*