Journal article
Childhood obesity evidence base project: Methods for taxonomy development for application in taxonomic meta-analysis
Childhood obesity, v 16(2), pp S2-7-S2-20
01 Sep 2020
PMID: 32936039
Abstract
Meta-analysis has been used to examine the effectiveness of childhood obesity prevention efforts, yet traditional conventional meta-analytic methods restrict the kinds of studies included, and either narrowly define mechanisms and agents of change, or examine the effectiveness of whole interventions as opposed to the specific actions that comprise interventions. Taxonomic meta-analytic methods widen the aperture of what can be included in a meta-analysis data set, allowing for inclusion of many types of interventions and study designs. The National Collaborative on Childhood Obesity Research Childhood Obesity Evidence Base (COEB) project focuses on interventions intended to prevent childhood obesity in children 2–5 years old who have an outcome measure of BMI. The COEB created taxonomies, anchored in the Social Ecological Model, which catalog specific outcomes, intervention components, intended recipients, and contexts of policies, initiatives, and interventions conducted at the individual, interpersonal, organizational, community, and societal level. Taxonomies were created by discovery from the literature itself using grounded theory. This article describes the process used for a novel taxonomic meta-analysis of childhood obesity prevention studies between the years 2010 and 2019. This method can be applied to other areas of research, including obesity prevention in additional populations.
Metrics
Details
- Title
- Childhood obesity evidence base project: Methods for taxonomy development for application in taxonomic meta-analysis
- Creators
- Heather King - Impact Genome Project, Mission Measurement, Chicago, IL, United StatesMacKenzie Magnus - Impact Genome Project, Mission Measurement, Chicago, IL, United StatesLarry V. Hedges - Department of Statistics, Northwestern University, Evanston, IL, United StatesChris Cyr - Impact Genome Project, Mission Measurement, Chicago, IL, United StatesDeborah Young-Hyman - Office of the DirectorLaura Kettel Khan - Centers for Disease Control and PreventionLori A.J. Scott-Sheldon - Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, United StatesJason A. Saul - University of ChicagoSonia Arteaga - National Institutes of HealthJohn Cawley - Department of Economics, Cornell University, Ithaca, NY, United StatesChristina D. Economos - Tufts UniversityDebra Haire-Joshu - Washington University in St. LouisChristine M. Hunter - Office of Behavioral and Social Sciences, National Institutes of Health, Bethesda, MD, United StatesBruce Y. Lee - Johns Hopkins UniversityShiriki K. Kumanyika - Drexel University, Dana and David Dornsife School of Public HealthLorrene D. Ritchie - University of California Division of Agriculture and Natural ResourcesThomas N. Robinson - University of Colorado HealthMarlene B. Schwartz - University of Connecticut
- Publication Details
- Childhood obesity, v 16(2), pp S2-7-S2-20
- Number of pages
- 14
- Grant note
- NCCOR National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002) Office of Behavioral and Social Sciences Research (http://data.elsevier.com/vocabulary/SciValFunders/100000118) GS-00F-0007M / National Institutes of Health (http://data.elsevier.com/vocabulary/SciValFunders/100000002)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Dana and David Dornsife School of Public Health
- Web of Science ID
- WOS:000569712400001
- Scopus ID
- 2-s2.0-85091191412
- Other Identifier
- 991021860772304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Pediatrics