Evidence map›Paper›PMID 35317412›Full record

ReviewCurrent developments in nutrition2022

Traffic Light Diets for Childhood Obesity: Disambiguation of Terms and Critical Review of Application, Food Categorization, and Strength of Evidence.

Colby J Vorland, Michelle M Bohan Brown, Michelle I Cardel, Andrew W Brown

Open access · goldAbstract readReview
In one paragraph

Review in Current developments in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. A Brief History and Future of the Traffic Light Diet.Current developments in nutrition · 2022
    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

4 authors at 2 institutions in 1 country.

Colby J VorlandDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.ORCID https://orcid.org/0000-0003-4225-372X
Michelle M Bohan BrownIndependent Scientific Consultant, Bloomington, IN, USA.ORCID https://orcid.org/0000-0002-7959-9225
Michelle I CardelGlobal Clinical Research & Nutrition, WW International, Inc, New York, NY, USA.ORCID https://orcid.org/0000-0002-9395-8618
Andrew W BrownDepartment of Applied Health Science, Indiana University School of Public Health-Bloomington, Bloomington, IN, USA.ORCID https://orcid.org/0000-0002-1758-8205
Indiana University Bloomington · USUniversity of Florida · US

Funding

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
NHLBI NIH HHS R25 HL124208
6 · The paper itself

Abstract

Traffic light labeling (TLL) of foods is a strategy often included in multicomponent behavioral interventions (MBIs) for childhood obesity. Traffic light labels categorize foods as "green" (no restrictions), "yellow" (moderation), and "red" (consume minimally). The body of research investigating the effects of TLL conflates the labeling itself with MBIs that include TLL as one component. For instance, the Academy of Nutrition and Dietetics' Evidence Analysis Library gave traffic light diets Grade I evidence for pediatric weight management. Yet, whether the term traffic light diet referenced TLL in isolation or as part of an MBI was ambiguous. Herein, we evaluate the evidence supporting TLL for childhood obesity as a stand-alone treatment and identify areas requiring further research. No articles from a PubMed search for TLL and weight-related outcomes tested TLL in isolation. One article was identified through reference lists that tested TLL mostly in isolation, which observed no significant differences between groups. TLL definitions and categorizations vary across studies and contexts, using average calories in categories of foods, energy density, or specific ingredients to determine labeling. Systematic reviews generally conclude TLL-based approaches affect food selection and consumption, but none studied obesity-related outcomes. We believe the evidence supports that:

Indexed as

evidence analysis librarypediatric obesityreviewstop light diettraffic light labeling

Identifiers

PMID35317412
PMCPMC8929981
OpenAlexW4206313057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.