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Exposure to a multi-level multi-component childhood obesity prevention community-randomized controlled trial:
Angela Cristina Bizzotto Trude1, Anna Yevgenyevna Kharmats2, Jessica C Jones-Smith3
1Global Obesity Prevention Center and Center for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA. atrude1@jhu.edu.
Community obesity interventions show low exposure, especially in older youth. Measuring exposure is key for accurate impact analysis in multi-level trials.
Area of Science:
- Public Health
- Community-Based Interventions
- Obesity Prevention
Background:
- Effective community interventions require adequate participant exposure.
- Understanding exposure dose and intensity in low-income areas is crucial.
- This study examines exposure patterns in a multi-component obesity prevention program.
Purpose of the Study:
- To assess exposure levels to different components of the B'more Healthy Communities for Kids (BHCK) program.
- To identify factors associated with varying levels of intervention exposure among youth and caregivers.
- To inform future impact analyses by understanding exposure patterns.
Main Methods:
- A community-randomized controlled trial (BHCK) in 28 low-income Baltimore zones.
- Post-intervention interviews with 385 low-income urban youths and caregivers to assess exposure.
- Exposure scores calculated based on self-reported material viewing and activity participation; analyzed using ordered logit regression.
Main Results:
- Mean exposure scores were significantly higher in the intervention group than the comparison group for both youths and caregivers.
- Overall exposure scores were low in both groups; 10% of the comparison group showed moderate exposure.
- Older age was associated with lower odds of high exposure (OR 0.77).
Conclusions:
- Differential exposure and comparison group exposure can attenuate treatment effects in community trials.
- Measuring exposure is essential for contextualizing impact evaluations in multi-level studies.
- Future analyses should control for confounders using a treatment-on-the-treated approach, acknowledging potential biases.
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