Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 62

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Validation of a brief dietary questionnaire for use in clinical practice: mini-eat (eating assessment tool)

Lara‐Breitinger, Kyla M., Medina Inojosa, Jose R., Li, Zhuo, Kunzova, Sarka, Lerman, Amir, Kopecky, Stephen L., Lopez‐Jimenez, Francisco·2023·Journal of the American Heart Association

Abstract

Background: There is a scarcity of validated rapid dietary screening tools for patient use in the clinical setting to improve health and reduce cardiovascular risk. The Healthy Eating Index (HEI) 2015 measures compliance with the 2015 to 2020 Dietary Guidelines for Americans but requires completion of an extensive diet assessment to compute, which is time consuming and impractical. The authors hypothesize that a 19‐item dietary survey assessing consumption of common food groups known to affect health will be correlated with the HEI‐2015 assessed by a validated food frequency questionnaire and can be further reduced without affecting validity. Methods and Results: A 19‐item Eating Assessment Tool (EAT) of common food groups was created through literature review and expert consensus. A cross‐sectional survey was then conducted in adult participants from a preventive cardiology clinic or cardiac rehabilitation and in healthy volunteers (n=661, mean age, 36 years; 76% women). Participants completed an online 156‐item food frequency questionnaire, which was used to calculate the HEI score using standard methods. The association between each EAT question and HEI group was analyzed by Kruskal‐Wallis test. Linear regression models were subsequently used to identify univariable and multivariable predictors for HEI score for further reduction in the number of items. The final 9‐item model of Mini‐EAT was validated by 5‐fold cross validation. The 19‐item EAT had a strong correlation with the HEI score ( r =0.73) and was subsequently reduced to the 9 items independently predictive of the HEI score: fruits, vegetables, whole grains, refined grains, fish or seafood, legumes/nuts/seeds, low‐fat dairy, high‐fat dairy, and sweets consumption, without affecting the predictive ability of the tool ( r =0.71). Conclusions: Mini‐EAT is a 9‐item validated brief dietary screener that correlates well with a comprehensive food frequency questionnaire. Future studies to test the Mini‐EAT's validity in diverse populations and for development of clinical decision support systems to capture changes over time are needed.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/jaha.121.025064

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Research works printed but not linked: 19

  1. Barnard ND, Alwarith J, Rembert E, Brandon L, Nguyen M, Goergen A, Horne T, do Nascimento GF, Lakkadi K, Tura A, et al. A mediterranean diet and low‐fat vegan diet to improve body weight and cardiometabolic risk factors: a randomized, cross‐over trial. J Am Coll Nutr. 2022;41:127–139.
  2. 10.1161/JAHA.120.016518 · DOI
  3. 10.1001/jama.2017.0947 · DOI · Paper page
  4. 10.1001/jama.2017.7171 · DOI
  5. 10.1016/j.ypmed.2017.04.022 · DOI
  6. 10.1161/HCQ.0000000000000094 · DOI · Paper page
  7. 10.1186/s12937-018-0399-x · DOI
  8. 10.1079/PHN200061 · DOI
  9. 10.1016/j.jand.2018.05.019 · DOI · Paper page
  10. 10.3945/jn.111.157222 · DOI · Paper page
  11. 10.1017/S1368980009991996 · DOI
  12. 10.1097/NT.0000000000000512 · DOI · Paper page
  13. 10.1161/CIR.0000000000001031 · DOI · Paper page
  14. 10.1161/CIRCULATIONAHA.120.048996 · DOI · Paper page
  15. 10.3390/nu11071508 · DOI
  16. 10.3390/nu13093031 · DOI
  17. 10.1093/ije/dyv039 · DOI
  18. Hauk L. DGAC makes food‐based recommendations in the 2015–2020 dietary guidelines for Americans. Am Fam Physician. 2016;93:525.
  19. 10.1016/j.jand.2018.05.021 · DOI · Paper page

Cited by

See all 62

Metadata

Authors
Lara‐Breitinger, K. M., Medina Inojosa, J. R., Li, Z., Kunzova, S., Lerman, A., Kopecky, S. L., & Lopez‐Jimenez, F.
Affiliations
  • Mayo Clinic, Department of Cardiovascular Medicine Rochester MN
  • Mayo Clinic, Division of Biomedical Statistics and Informatics Jacksonville FL
  • International Clinical Research Center St Anne’s University Hospital Brno Brno Czech Republic
Venue
Journal of the American Heart Association
Published
2023-01-03
Volume
12
Issue
1
ISSN
2047-9980
Cited by
62
References
7
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Validation of a brief dietary questionnaire for use in clinical practice: mini-eat (eating assessment tool). https://app.cochat.ai/papers/10.1161/jaha.121.025064
The paper
Lara‐Breitinger, K. M., Medina Inojosa, J. R., Li, Z., Kunzova, S., Lerman, A., Kopecky, S. L., & Lopez‐Jimenez, F. (2023). Validation of a brief dietary questionnaire for use in clinical practice: mini-eat (eating assessment tool). Journal of the American Heart Association. https://doi.org/10.1161/jaha.121.025064

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.