Evidence map›Paper›PMID 31242913›Full record

ArticleNutrition journal2019

Improvements in the nutritional quality of US young adults based on food sources and socioeconomic status between 1989-1991 and 2011-2014.

Matthew A Patetta, Lilia S Pedraza, Barry M Popkin

Abstract read
In one paragraph

Article in Nutrition journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Cancer Epidemiology in Hispanic Populations: What Have We Learned and Where Do We Need to Make Progress?Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

3 authors.

Matthew A PatettaDepartment of Nutrition, Gillings School of Global Public Health, Carolina Population Center, CB #8120 Carolina Square, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516-2524, USA.
Lilia S PedrazaDepartment of Nutrition, Gillings School of Global Public Health, Carolina Population Center, CB #8120 Carolina Square, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516-2524, USA.
Barry M PopkinDepartment of Nutrition, Gillings School of Global Public Health, Carolina Population Center, CB #8120 Carolina Square, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27516-2524, USA. popkin@unc.edu.ORCID 0000-0001-9495-9324

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 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 DK098072NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundFast food and other away from home food sources are linked with poorer diet quality and adverse health outcomes. The diet quality of young adults, major consumers of fast food, is understudied in terms of long-term shifts based on food sources for key subpopulation disparities.

methodsThe study included young adults ages 18-39 (n = 8012) from the Continuing Survey of Food Intakes by Individuals 1989-1991 (n = 4217) and the National Health and Nutrition Examination Survey 2011-2012 and 2013-2014 (n = 3795). We stratified individuals based on their combination of food sources, race/ethnicity, and socioeconomic status. Using 24-h dietary recall data, we measured diet quality with the Healthy Eating Index-2015 (HEI-2015). Differences in diet quality were determined using 95% confidence intervals.

resultsOverall, diet quality increased across all food sources between the 1989-1991 and 2011-2014 surveys. The restaurant category overtook the at home category as the healthiest food source, while the fast food category remained the unhealthiest on days it was consumed. Vegetable intake decreased, while added sugar intake increased across all sources. Non-Hispanic whites and non-Hispanic blacks experienced similar increases in HEI-2015 scores across all food sources except restaurants, while Mexican American diet quality remained unchanged. Although all income levels experienced an increase in diet quality, the disparity between low- and high-income groups increased considerably.

conclusionsUS young adults consume healthier foods from all food sources, however, fast food consumers have significantly lower quality in the remainder of their diets. Additionally, Mexican Americans and low-income individuals emerge as high-risk groups for poor diet quality.

Indexed as

Feeding BehaviorNutritive ValueAdolescentAdultDietDiet RecordsEthnicityFast FoodsFemaleHumansMaleNutrition SurveysRestaurantsSocioeconomic FactorsUnited StatesYoung AdultDiet qualityHealthy eating indexNutritionSocioeconomic disparityYoung adults

Identifiers

PMID31242913
PMCPMC6595624

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.