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Exploratory Decision Trees to Predict Obesity Intervention Response among Hispanic American Youth
Katherine R Arlinghaus1, Daniel P O'Connor2, Tracey A Ledoux2
1Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Childhood Obesity (Print)
|June 13, 2022
Summary
Individual responses to obesity interventions vary significantly. Physical activity levels and early response predict later outcomes, highlighting the need for personalized strategies in pediatric obesity management.
Area of Science:
- Pediatric obesity intervention research
- Behavioral science in public health
- Health disparities in minority populations
Background:
- Individual variability in response to obesity interventions is common but understudied.
- Understanding predictors of response is crucial for tailoring interventions.
- Low-income Hispanic American youth face significant obesity-related health challenges.
Purpose of the Study:
- To identify characteristics differentiating responsive from unresponsive individuals in a school-based obesity intervention.
- To explore predictors of weight-related outcomes at 3 and 6 months.
- To analyze individual variability in intervention effectiveness.
Main Methods:
- Classification Regression Tree (CRT) analysis applied to 185 Hispanic American middle school students.
- Predictors included baseline BMI, physical activity (MVPA), quality of life (PedsQL), and dietary intake.
- Intervention response defined by American Academy of Pediatrics (AAP) guidelines.
Main Results:
- 57.3% and 35.1% of participants met AAP response criteria at 3 and 6 months, respectively.
- Minutes of moderate-to-vigorous physical activity (MVPA) was a key predictor at 3 months.
- Early intervention response at 3 months strongly predicted 6-month outcomes.
Conclusions:
- Complex, interactive factors influence obesity intervention response in youth.
- Individuals unresponsive early on are unlikely to respond later.
- Personalized modeling is needed to optimize prediction of intervention responsiveness.
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