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The ENDORSE Feasibility Study: Exploring the Use of M-Health, Artificial Intelligence and Serious Games for the

Konstantia Zarkogianni1, Evi Chatzidaki2, Nektaria Polychronaki2

  • 1School of Electrical and Computer Engineering, National Technical University of Athens, 15780 Athens, Greece.

Nutrients
|March 29, 2023
PubMed

Insights

The ENDORSE platform, using AI and mobile games, effectively reduced childhood obesity. Increased activity tracker use correlated with better BMI z-score improvements in a 3-month trial.

Area of Science:

  • Pediatrics
  • Public Health
  • Digital Health

Background:

  • Childhood obesity is a significant risk factor for long-term health issues.
  • Multicomponent parent-child interventions show promise in weight management.
  • Existing interventions can be enhanced with technology for better engagement and outcomes.

Purpose of the Study:

  • To evaluate the feasibility and effectiveness of the ENDORSE platform in combating childhood obesity.
  • To assess the impact of an mHealth, AI, and serious game intervention on BMI z-scores in children.
  • To explore the correlation between platform usage and health outcomes.

Main Methods:

  • A 3-month feasibility pilot trial involving 50 overweight/obese children.
  • Utilized the ENDORSE platform: activity trackers, a mobile serious game (SG) for children, and mobile apps for parents/professionals.
  • Measured adherence via usage frequency; analyzed BMI z-score changes and correlations with activity tracker use.

Main Results:

  • Achieved a clinically and statistically significant reduction in mean BMI z-score (-0.21 ± 0.26, p < 0.001).
  • Found a significant correlation between activity tracker usage and BMI z-score improvement (r=-0.355, p=0.017).
  • Demonstrated high adherence potential through platform interaction data.

Conclusions:

  • The ENDORSE platform is a feasible and effective tool for childhood obesity intervention.
  • Integrating mHealth, AI, and serious games can significantly improve pediatric weight management.
  • Activity tracker engagement is a key factor in the success of digital health interventions for obesity.

Keywords:
BMIchildhood obesityfamily-based interventiongenetic algorithmmachine learningmulticomponentself-monitoringtechnologywearables

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