Evidence map›Paper›PMID 28489037›Full record

ArticleNutrients2017

Color-Coded Front-of-Pack Nutrition Labels-An Option for US Packaged Foods?

Elizabeth K Dunford, Jennifer M Poti, Dagan Xavier, Jacqui L Webster, Lindsey Smith Taillie

Abstract read
In one paragraph

Article in Nutrients, 2017. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Elizabeth K DunfordFood Policy Division, The George Institute for Global Health, University of New South Wales, Sydney, NSW 2042, Australia. edunford@georgeinstitute.org.au.
Jennifer M PotiCarolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA. poti@unc.edu.
Dagan XavierLabel Insight, Chicago, IL 60661, USA. dxavier@labelinsight.com.
Jacqui L WebsterFood Policy Division, The George Institute for Global Health, University of New South Wales, Sydney, NSW 2042, Australia. jwebster@georgeinstitute.org.au.
Lindsey Smith TaillieCarolina Population Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27516, USA. smithlp@email.unc.edu.

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
SES and race-ethnic disparities in food purchasing and dietary intake:2000-2015R01DK098072 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2013 to 2017
$3.2M
NICHD NIH HHS P2C HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK098072
6 · The paper itself

Abstract

The implementation of a standardized front-of-pack-labelling (FoPL) scheme would likely be a useful tool for many consumers trying to improve the healthfulness of their diets. Our objective was to examine what the traffic light labelling scheme would look like if implemented in the US. Data were extracted from Label Insight's Open Access branded food database in 2017. Nutrient levels and the proportion of products classified as "Red" (High), "Amber" (Medium) or "Green" (Low) in total fat, saturated fat, total sugar and sodium for food and beverage items were examined. The proportion of products in each category that had each possible combination of traffic light colors, and met the aggregate score for "healthy" was examined. Out of 175,198 products, >50% of all US packaged foods received a "Red" rating for total sugar and sodium. "Confectionery" had the highest mean total sugar (51.9 g/100 g) and "Meat and meat alternatives" the highest mean sodium (781 mg/100 g). The most common traffic light label combination was "Red" for total fat, saturated fat and sodium and "Green" for sugar. Only 30.1% of products were considered "healthy". A wide variety (

Indexed as

Food LabelingHealth PromotionNutritive ValueChoice BehaviorConsumer BehaviorFood AnalysisFood PackagingHealth BehaviorHumansNutrition PolicyUnited Statesfood labelsnutrient profilingprocessed foodspublic health nutrition

Identifiers

PMID28489037
PMCPMC5452210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.