Evidence map›Paper›PMID 30301145›Full record

ArticleNutrients2018

Calculating Intake of Dietary Risk Components Used in the Global Burden of Disease Studies from the What We Eat in America/National Health and Nutrition Examination Surveys.

Victor L Fulgoni, Taylor C Wallace, Katerina S Stylianou, Olivier Jolliet

Abstract read
In one paragraph

Article in Nutrients, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Health and Environmental Impacts of Major Foods Consumed in Regional Food Systems of Brazil.International journal of environmental research and public health · 2025
    Article
  4. Article
  5. Article
  6. Review
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.

Victor L FulgoniNutrition Impact, LLC, 9725 D Drive North, Battle Creek, MI 49014, USA. vic3rd@aol.com.ORCID 0000-0002-9403-2745
Taylor C WallaceDepartment of Nutrition and Food Studies, George Mason University, Fairfax, VA 22030, USA. twallac9@gmu.edu.ORCID 0000-0002-9403-2745
Katerina S StylianouEnvironmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA. kstylian@umich.edu.
Olivier JollietEnvironmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA. ojolliet@umich.edu.ORCID 0000-0001-6955-4210

Funding

Dairy Management None
6 · The paper itself

Abstract

Disability adjusted life years (DALYs) is a health burden metric that combines years of life lost due to disease disability and premature mortality. The Global Burden of Disease (GBD) has been using DALYs to determine the health burden associated with numerous health risks, including risks associated with dietary intakes, at the global and national level. To translate such information at the food level in the U.S., variables in What We Eat in America (WWEIA) need to be aligned with those in the GBD. In this paper, we develop the necessary new variables needed to account for differences in definitions and units between WWEIA and the GBD. We use the Food Patterns Equivalents Database, Food Patterns Equivalents Ingredient Database, Food and Nutrient Database for Dietary Studies, and Standard Reference databases that provide data for WWEIA to develop food group and nutrient variables that align with definitions and units used in the GBD. Considerable effort was needed to disaggregate mixed dishes to GBD components. We also developed a new "non-starchy" vegetable variable, since the GBD vegetables do not include potatoes and corn, and we report fruits and vegetables in grams instead of household measures. New fiber variables were created to avoid double counting of fiber from legumes, whole grains, fruits, and vegetables. Regression analyses were used to predict trans-fat content for foods in WWEIA with missing or incomplete information. The majority of foods in various U.S. Department of Agriculture (USDA) categories contain multiple GBD food groups (e.g., vegetables, whole grains, and processed meat). For most nutrients considered in the GBD, composition is more evenly distributed across the main food categories; however, seafood omega-3 fats were predominantly from either protein foods or mixed dishes and sugar sweetened beverages were from a single category. Dietary intakes in the U.S. fall short of recommendations for all food groups/nutrients with established theoretical minimum-risk targets in GBD. To our knowledge, this is the first approach that aligns WWEIA intake variables with those used in the health burden-based GBD reports. These methods will facilitate researchers to begin comparing data from the U.S. with that from other countries, as well as assess food sustainability performances by concomitantly evaluating DALYs for environmental and nutritional impacts.

Indexed as

DietFeeding BehaviorNutritive ValueQuality-Adjusted Life YearsComparative Effectiveness ResearchDatabases, FactualEatingEnergy IntakeEnvironmentGlobal Burden of DiseaseHumansNutrientsNutritional StatusNutrition PolicyNutrition SurveysRecommended Dietary AllowancesNutrientsGlobal Burden of DiseaseNHANESnutritionsustainabilityWWEIA

Identifiers

PMID30301145
PMCPMC6212931

What OpenQuestion holds

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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.