Evidence mapPaperPMID 32936039Full record

SynthesisChildhood obesity (Print)2020

Childhood Obesity Evidence Base Project: Methods for Taxonomy Development for Application in Taxonomic Meta-Analysis.

Heather King, Mackenzie Magnus, Larry V Hedges, Chris Cyr, Deborah Young-Hyman, Laura Kettel Khan, Lori A J Scott-Sheldon, Jason A Saul, Sonia Arteaga, John Cawley and 8 more

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Childhood obesity (Print), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 3 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 15 institutions in 1 country.

Heather KingImpact Genome Project, Mission Measurement, Chicago, IL, USA.
Mackenzie MagnusImpact Genome Project, Mission Measurement, Chicago, IL, USA.
Larry V HedgesDepartment of Statistics, Northwestern University, Evanston, IL, USA.
Chris CyrImpact Genome Project, Mission Measurement, Chicago, IL, USA.
Deborah Young-HymanOffice of Behavioral and Social Sciences, Office of the Director, National Institutes of Health, Bethesda, MD, USA.
Laura Kettel KhanDivision of Nutrition, Physical Activity, and Obesity, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Lori A J Scott-SheldonCenters for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, USA.
Jason A SaulCenter for Impact Sciences, Harris School of Public Policy, University of Chicago, Chicago, IL, USA.
Sonia ArteagaOffice of the Director, National Institutes of Health, Bethesda, MD, USA.
John CawleyDepartment of Policy Analysis and Management and Cornell University, Ithaca, NY, USA.
Christina D EconomosFriedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Debra Haire-JoshuCenter for Obesity Prevention and Policy Research, Brown School Washington University, Saint Louis, MO, USA.
Christine M HunterOffice of Behavioral and Social Sciences, Office of the Director, National Institutes of Health, Bethesda, MD, USA.
Bruce Y LeeCUNY Graduate School of Public Health and Policy, New York, NY, USA.
Shiriki K KumanyikaDepartment of Community Health and Prevention, Dornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Lorrene D RitchieNutrition Policy Institute, University of California Agriculture and Natural Resources, Berkeley, CA, USA.
Thomas N RobinsonStanford Solutions Science Lab, Stanford University, Stanford, CA, USA.
Marlene B SchwartzDepartment of Human Development and Family Studies, University of Connecticut, Hartford, CT, USA.
Mission Health · USOffice of the Director · USCenters for Disease Control and Prevention · USDrexel University · USMiriam Hospital · USNational Institutes of Health · USNorthwestern University · USPolicy Analysis (United States) · USStanford University · USThe Graduate Center, CUNY · USTufts University · USUniversity of California Division of Agriculture and Natural Resources · USUniversity of Chicago · USUniversity of Hartford · USWashington University in St. Louis · US

Funding

Washington University Nutrition Obesity Research CenterP30DK056341 · WASHINGTON UNIVERSITY · 1999 to 2025
$5.7M
NIDDK NIH HHS P30 DK056341
6 · The paper itself

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.

Indexed as

Pediatric ObesityChildChild, PreschoolHumansinterventionmeta-analysispreventiontaxonomy

Identifiers

PMID32936039
PMCPMC7482109
OpenAlexW3087181219

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.