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Childhood Obesity Evidence Base Project: Methods for Taxonomy Development for Application in Taxonomic Meta-Analysis
Heather King1, Mackenzie Magnus1, Larry V Hedges2
1Impact Genome Project, Mission Measurement, Chicago, IL, USA.
Childhood Obesity (Print)
|September 16, 2020
Summary
Taxonomic meta-analysis enhances childhood obesity prevention research by including diverse studies and interventions. This method offers a broader understanding of effective obesity prevention strategies for young children.
Area of Science:
- Public Health
- Epidemiology
- Behavioral Science
Background:
- Traditional meta-analysis has limitations in evaluating childhood obesity prevention, often excluding diverse study designs and narrowly defining intervention components.
- The National Collaborative on Childhood Obesity Research (COEB) project aims to create a comprehensive evidence base for childhood obesity prevention in 2-5 year olds.
Purpose of the Study:
- To describe a novel taxonomic meta-analysis process for childhood obesity prevention studies (2010-2019).
- To demonstrate how taxonomic methods can broaden the scope of included studies and intervention components in meta-analyses.
Main Methods:
- Developed taxonomies based on the Social Ecological Model, cataloging outcomes, intervention components, recipients, and contexts.
- Utilized grounded theory for literature discovery to create these taxonomies.
- Applied a novel taxonomic meta-analytic approach to studies published between 2010 and 2019.
Main Results:
- The taxonomic approach allows for the inclusion of a wider array of intervention types and study designs compared to conventional methods.
- This method facilitates a more granular examination of specific intervention actions within broader strategies.
- The developed taxonomies provide a structured framework for analyzing complex intervention landscapes.
Conclusions:
- Taxonomic meta-analysis offers a more inclusive and detailed approach to evaluating childhood obesity prevention efforts.
- This methodology can be adapted for other research areas and populations facing similar public health challenges.
- Enhancing the scope of meta-analysis improves the understanding of effective obesity prevention strategies.
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