Evidence map›Paper›PMID 40002050›Full record

ArticleFoods (Basel, Switzerland)2025

Nutrition Knowledge Varies by Food Group and Nutrient Among Adults.

Abigail A Glick, Donna M Winham, Michelle M Heer, Andrea M Hutchins, Mack C Shelley

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

5 authors.

Abigail A GlickDepartment of Food Science & Human Nutrition, Iowa State University, Ames, IA 50011, USA.
Donna M WinhamDepartment of Food Science & Human Nutrition, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-3924-2560
Michelle M HeerDepartment of Food Science & Human Nutrition, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-2736-9273
Andrea M HutchinsDepartment of Human Physiology & Nutrition, University of Colorado Colorado Springs, Colorado Springs, CO 80918, USA.
Mack C ShelleyDepartments of Political Science and Statistics, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0002-0414-5843

Funding

United States Department of Agriculture 2022-51181-38323
6 · The paper itself

Abstract

The United States Dietary Guidelines for Americans (DGA) have provided recommendations for healthy eating patterns to meet nutrient needs and reduce chronic disease risk for decades. However, few Americans fully meet these guidelines, especially regarding five shortfall nutrients, and the vegetable, fruit, pulse, whole grain, and dairy food groups. Nutrition knowledge is a modifiable factor associated with improved dietary behavior, yet it is unclear whether individuals with nutrition-related chronic diseases possess greater knowledge. The study objectives were to (1) describe knowledge of 10 nutrient sources across six food groups, and (2) determine predictive factors for nutrient source and food group knowledge. A national sample of 930 adults from an online panel answered demographic, nutrition-disease knowledge, desired benefits from foods, chronic disease status questions, and identified the presence or absence of 10 nutrients in six food groups. Respondents were 77% White, 51% women, and 70% married, with a mean age of 45 years. Nutrition-disease knowledge was higher for those who were older, women, and highly educated. Having a nutrition-related disease, e.g., heart disease, was not predictive of nutrient-disease knowledge. Whole grains had the highest average nutrient knowledge score (6.26 ± 2.5; range 0-10), while vegetables had the lowest (4.89 ± 2.3). Fat food sources were the best known (3.98 ± 1.5; range 0-6), and folate was the least recognized (2.16 ± 1.4). General linear models of survey variables for the six food groups explained 10.2% to 19.4% of nutrient knowledge variation and described 4.7% to 27.1% of differences in food-source scores for the 10 nutrients. Nutrient-disease knowledge had the most significant influence on nutrient source scores. Gaps in understanding nutrient sources suggest the public needs more applied education.

Indexed as

carbohydrateschronic diseaseconsumer knowledgedairyDietary Guidelines for Americansfolatehealth benefits of foodpotassiumpulseswhole grains

Identifiers

PMID40002050
PMCPMC11854791

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Registered trials

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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.