Evidence map›Paper›PMID 29230079›Full record

ArticleJournal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems2017

Development of a food composition database to monitor changes in packaged foods and beverages.

Jennifer M Poti, Emily Yoon, Bridget Hollingsworth, Jessica Ostrowski, Julie Wandell, Donna R Miles, Barry M Popkin

Abstract read
In one paragraph

Article in Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Laboratory-Analyzed Nutrient Values Diverge from Database Estimates in Research-Specific Diets (Notably for Protein, Iron, Sodium).Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2026
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  7. The effectiveness of mandatoryThe British journal of nutrition · 2025
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  9. Selecting foods from FNDDS when calculating food intake: Does the reference matter?Journal of food composition and analysis : an official publication of the United Nations University, International Network of Food Data Systems · 2024
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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

7 authors.

Jennifer M PotiUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.
Emily YoonUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.
Bridget HollingsworthUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.
Jessica OstrowskiUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.
Julie WandellUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.
Donna R MilesUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.
Barry M PopkinUniversity of North Carolina at Chapel Hill, CB #8120, Chapel Hill, NC 27514, USA.

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
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
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 HD050924NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS R01 DK098072
6 · The paper itself

Abstract

In order to monitor nutritional changes in the US food supply and assess potential impact on individual dietary intake, an approach was developed to enhance existing standard food composition tables with time-varying product- and brand-specific information for barcoded packaged foods. A "Crosswalk" was formed between barcoded products and USDA foodcodes in a time-specific manner, such that sales-weighted average nutritional profiles were generated for each foodcode based on corresponding products (275,000 to 350,000 per 2-year cycle). This Crosswalk-enhanced food composition table was applied to dietary intake data from the National Health and Nutrition Examination Survey (cycles 2007-2008, 2009-2010, and 2011-2012). Total energy density of foods consumed by Americans from stores/vending was stable over time and differed by <5 kcal/100g using the Crosswalk-enhanced vs standard database. However, changes in the energy density of food groups were found utilizing the Crosswalk that were not detected using the standard database. Likewise, significant declines in energy intake from beverages among children (288±7.3 to 258±6.8 kcal/d) were found using the Crosswalk-enhanced database but were non-significant using the standard database. The Crosswalk approach can potentially augment national nutrition surveys by utilizing commercial food purchase and nutrient databases to capture changes in the nutrient content of packaged foods.

Indexed as

Branded food databaseDietary intakeFood analysisFood compositionNHANESNutrition facts panelsPackaged foodProduct reformulation

Identifiers

PMID29230079
PMCPMC5721674

What OpenQuestion holds

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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.