Evidence map›Paper›PMID 33844000›Full record

ArticleJAMA network open2021

Trends in Food Sources and Diet Quality Among US Children and Adults, 2003-2018.

Junxiu Liu, Renata Micha, Yan Li, Dariush Mozaffarian

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

  1. The Role of Household Social Support and Undermining in Dietary Change.International journal of behavioral medicine · 2026
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  4. Online RCT of Icon Added-Sugar Warning Labels for Restaurant Menus.American journal of preventive medicine · 2023
    Trial
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  9. Impact of School Rurality on Fruit and Vegetable Selection Differs by Sex and Eating Duration for Arizona Schools.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
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38 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Junxiu LiuDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Renata MichaFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.
Yan LiDepartment of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York.
Dariush MozaffarianFriedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts.

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
Economic Analyses of Policy Strategies to Improve Diet and Reduce CVDR01HL130735 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MICHA, EIRINI (RENATA) · 2016 to 2019
$3.1M
NHLBI NIH HHS R01 HL115189NHLBI NIH HHS R01 HL130735
6 · The paper itself

Abstract

Importance: Time trends and population disparities in nutritional quality of foods from major US sources, including grocery stores, restaurants, schools, worksites, and other sources, are not well established. Objective: To investigate patterns and trends in diet quality by food sources among US children and adults overall and in sociodemographic subgroups. Design, Setting, and Participants: This serial, cross-sectional survey study included respondents from 8 National Health and Nutrition Examination Survey cycles (2003-2018) with valid dietary recalls. Data were analyzed from April 16, 2020, to July 20, 2020. Exposures: Survey cycle, food source, and key sociodemographic subgroups. Main Outcomes and Measures: Mean diet quality of foods (meals, snacks, and beverages) consumed per person, characterized by the American Heart Association diet score (range, 0-80, with higher scores indicating healthier diets), the Healthy Eating Index 2015 (range, 0-100, with higher scores indicating healthier diets), and their components. For the American Heart Association diet score, poor diet was defined as less than 40.0% adherence (score, <32.0), intermediate diet as 40.0% to 79.9% adherence (score, 32.0-63.9), and ideal as 80.0% or greater adherence (score, ≥64.0). Results: The study included 20 905 children 5 to 19 years of age (mean [SD] age, 12.1 [5.24] years; 51.0% male) and 39 757 adults 20 years or older (mean [SD] age, 47.3 [15.1] years; 51.9% female). Diet quality of foods consumed from grocery stores increased modestly in children (53.2% to 45.1% with poor diet quality; P = .006 for trend) and adults (40.1% to 32.9% with poor diet quality; P = .001 for trend), with smaller changes for restaurants among children (84.8% to 79.6% with poor diet quality; P = .003 for trend). Changes for restaurants among adults were not statistically significant (65.4% to 65.2% with poor diet quality; P = .07 with poor diet quality); the same was true of worksites (adults: 55.6% to 50.7% with poor diet quality; P = .25 for trend). Food quality from other sources worsened (children: 40.0% to 51.7% with poor diet quality; adults: 33.8% to 43.8% with poor diet quality; P < .001 for trend each). The largest improvement in diet quality was in schools, with the percentage with poor diet quality decreasing from 55.6% to 24.4% (P < .001 for trend), mostly after 2010, and with equitable improvements across population subgroups. Findings were similar for Healthy Eating Index 2015. Significant disparities in diet quality trends were seen by sex, race/ethnicity, educational level, and household income for food consumed from grocery stores. For example, the proportion of foods consumed from grocery stores that were of poor diet quality decreased among high-income adults (from 36.9% to 26.5%; P = .001 for trend) but not among low-income adults (from 45.8% to 41.3%; P = .09 for trend). Conclusions and Relevance: By 2017-2018, foods consumed at schools improved significantly and provided the best mean diet quality of major US food sources, without population disparities. Additional improvements are needed from all major US food sources, with particular attention on equity.

Indexed as

AdolescentAdultChildCOVID-19Cross-Sectional StudiesDiet, HealthyDiet RecordsEnergy IntakeFeeding BehaviorFemaleHealth Status DisparitiesHumansMaleMiddle AgedNutrition SurveysUnited States

Identifiers

PMID33844000
PMCPMC8042524

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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.