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Suggested Readings
- Obesity in Adults: Role of Physical Activity and Exercise
- The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review
- The Multiple Uses of Artificial Intelligence in Exercise Programs: a Narrative Review
- Randomized Trial of Two Artificial Intelligence Coaching Interventions to Increase Physical Activity in Cancer Survivors
Visual Aids
Figure 1. A socioecological model for understanding the dynamic interrelationships
between various personal and environmental factors influencing child and adolescent
obesity. Adapted from the Centers for Disease Control and Prevention social-ecological
model framework for prevention.38 *Defined as being traversable on foot, compact,
physically enticing, and safe. Jebeile, H., Kelly, A. S., O'Malley, G., & Baur, L. A. (2022). Obesity in children and adolescents: epidemiology, causes, assessment, and management. The Lancet. Diabetes & Endocrinology, 10(5), 351–365.
Figure 2. Illustrative uses of artificial intelligence specifically for the management
of patients with obesity. Bays, H. E., Fitch, A., Cuda, S., Gonsahn-Bollie, S., Rickey, E., Hablutzel, J., Coy, R., & Censani, M. (2023). Artificial intelligence and obesity management: An Obesity Medicine Association (OMA) Clinical Practice Statement (CPS) 2023. Obesity pillars, 6, 100065. https://doi.org/10.1016/j.obpill.2023.100065



