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Published on: February 2, 2017
Childhood Obesity Evidence Base Project: Building Translational Capacity through Meta-Analytic Methods
Deborah Young-Hyman1, Laura Kettel Khan2
1Office of Behavioral and Social Sciences, Office of the Director, National Institutes of Health, Bethesda, MD, USA.
A taxonomic meta-analysis approach enhances evidence aggregation for childhood obesity prevention. This method improves understanding of effective interventions for specific populations and contexts, informing future public health strategies.
Area of Science:
- Public Health
- Epidemiology
- Childhood Obesity Research
Background:
- Childhood obesity prevention requires comprehensive evidence synthesis.
- Heterogeneous research efforts necessitate robust methods for evidence aggregation.
- Understanding intervention effectiveness across diverse populations and contexts is crucial.
Purpose of the Study:
- To demonstrate the utility of a taxonomic approach for evidence aggregation and meta-analysis in childhood obesity prevention.
- To highlight the importance of utilizing all available evidence to identify effective interventions.
- To inform future research and public health initiatives.
Main Methods:
- A taxonomic meta-analysis was conducted as part of the Childhood Obesity Evidence Base (COEB) project.
- Grounded Theory was used to code elements from diverse study designs and initiatives.
- Data were mapped onto the levels of the socio-ecologic model.
Main Results:
- The taxonomic meta-analytic approach broadens the evidence base for childhood obesity interventions.
- It enhances translational capacity by identifying effective intervention components.
- The method evaluates contextual influences on intervention outcomes.
Conclusions:
- Taxonomies improve meta-analytic methods by generating topic-specific questions.
- This approach aids in understanding intervention approaches, outcomes, and context.
- It serves as an adjunctive method to traditional meta-analysis, informing public health strategies.
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