Evidence map›Paper›PMID 31426126›Full record

ReviewObesity reviews : an official journal of the International Association for the Study of Obesity2019

Childhood obesity intervention studies: A narrative review and guide for investigators, authors, editors, reviewers, journalists, and readers to guard against exaggerated effectiveness claims.

Andrew W Brown, Douglas G Altman, Tom Baranowski, J Martin Bland, John A Dawson, Nikhil V Dhurandhar, Shima Dowla, Kevin R Fontaine, Andrew Gelman, Steven B Heymsfield and 8 more

Abstract readReview
In one paragraph

Review in Obesity reviews : an official journal of the International Association for the Study of Obesity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Causal models and causal modelling in obesity: foundations, methods and evidence.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
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  19. A Longitudinal Effectiveness Study of a Child Obesity Electronic Health Record Tool.Journal of the American Board of Family Medicine : JABFM
    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.

Andrew W BrownDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana.ORCID 0000-0002-1758-8205
Douglas G AltmanCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology, and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Tom BaranowskiDepartment of Pediatrics, Baylor College of Medicine, USDA/ARS Children's Nutrition Research Center, Houston, Texas.
J Martin BlandDepartment of Health Sciences, University of York, York, UK.
John A DawsonDepartment of Nutritional Sciences, Texas Tech University, Lubbock, Texas.
Nikhil V DhurandharDepartment of Nutritional Sciences, Texas Tech University, Lubbock, Texas.
Shima DowlaSchool of Medicine, University of Alabama at Birmingham, Birmingham, Alabama.
Kevin R FontaineDepartment of Health Behavior, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama.ORCID 0000-0002-2807-6440
Andrew GelmanDepartment of Statistics and Department of Political Science, Columbia University, New York, New York.
Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana.ORCID 0000-0003-1127-9425
Wasantha JayawardeneDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, Indiana.ORCID 0000-0002-8798-0894
Scott W KeithDepartment of Pharmacology and Experimental Therapeutics, Division of Biostatistics, Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
Theodore K KyleConscienHealth, Pittsburgh, Pennsylvania.ORCID 0000-0003-1119-5854
Eric LokenNeag School of Education, University of Connecticut, Storrs, Connecticut.
J Michael OakesDepartment of Epidemiology, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
June StevensDepartments of Nutrition and Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina.
Diana M ThomasDepartment of Mathematical Sciences, United States Military Academy, West Point, New York.ORCID 0000-0003-2641-9304
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana.ORCID 0000-0003-3566-9399

Funding

ROLE OF DIETARY CONSTITUENTS ON GENE EXPRESSION IN INTESTINAL EPITHELIUMP30DK040561 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI Elizabeth Austen Lawson, Takara Leah Stanley · 1994 to 2026
$31.6M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI ROBERT A KESTERSON · 2005 to 2026
$26.5M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2013 to 2026
$19.5M
Strengthening Causal Inference in Behavioral Obesity ResearchR25HL124208 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI ALLISON, DAVID B, BROWN, ANDREW W · 2014 to 2023
$1.8M
The Mathematical Sciences in Obesity ResearchR25DK099080 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DAVID B ALLISON, Andrew W Brown · 2013 to 2026
$1.2M
Cancer Research UK 16895NHLBI NIH HHS R25 HL124208NIDDK NIH HHS P30 DK040561NIDDK NIH HHS P30 DK072476NIDDK NIH HHS P30DK072476NIDDK NIH HHS P30 DK079626NIDDK NIH HHS R25 DK099080NIDDK NIH HHS R25DK099080
6 · The paper itself

Abstract

Being able to draw accurate conclusions from childhood obesity trials is important to make advances in reversing the obesity epidemic. However, obesity research sometimes is not conducted or reported to appropriate scientific standards. To constructively draw attention to this issue, we present 10 errors that are commonly committed, illustrate each error with examples from the childhood obesity literature, and follow with suggestions on how to avoid these errors. These errors are as follows: using self-reported outcomes and teaching to the test; foregoing control groups and risking regression to the mean creating differences over time; changing the goal posts; ignoring clustering in studies that randomize groups of children; following the forking paths, subsetting, p-hacking, and data dredging; basing conclusions on tests for significant differences from baseline; equating "no statistically significant difference" with "equally effective"; ignoring intervention study results in favor of observational analyses; using one-sided testing for statistical significance; and stating that effects are clinically significant even though they are not statistically significant. We hope that compiling these errors in one article will serve as the beginning of a checklist to support fidelity in conducting, analyzing, and reporting childhood obesity research.

Indexed as

Biomedical ResearchChildGuidelines as TopicHumansParentsPediatric ObesityResearch ReportTreatment OutcomeWeight Reduction Programscausal inferencechildhood obesityinterventions

Identifiers

PMID31426126
PMCPMC7436851

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.