Cited by 69Celiac Disease Research and ManagementFood Allergy and Anaphylaxis ResearchFood Safety and Hygiene

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Detection of Gluten in Gluten-Free Labeled Restaurant Food: Analysis of Crowd-Sourced Data

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Lerner, Benjamin A., Phan Vo, Lynn T., Yates, Shireen, Rundle, Andrew G., Green, Peter H.R., Lebwohl, Benjamin·2019·American Journal of Gastroenterology

Abstract

INTRODUCTION: Adherence to a gluten-free (GF) diet is the mainstay of therapy for celiac disease. Until now, those wishing to avoid gluten in restaurants had to rely on menu labels, word of mouth, intuition, and restaurant workers' advice, with a relative dearth of supporting data. We used crowd-sourced data from users of a portable gluten detection device to estimate rates of, and identify risk factors for, gluten contamination of supposed GF restaurant foods. METHODS: We analyzed data from a portable gluten detection device (Nima), collected across the United States during an 18-month period by users who opted to share the results of their point-of-care tests. Data were sorted by region, time of day, median household income in the restaurant's vicinity, restaurant genre, and food items. We used the χ 2 test for bivariate analysis and multiple logistic regression for multivariate analysis to identify predictors of gluten detection in restaurant food. RESULTS: There were 5,624 tests, performed by 804 users, in the examined period. Gluten was detected in 32% of GF labeled foods. Rates of gluten detection differed by meal, with 27.2% at breakfast and 34.0% at dinner ( P = 0.0008). GF labeled pizza and pasta were most likely to test positive for gluten, with gluten detected in 53.2% of pizza and 50.8% of pasta samples. On multivariate analysis, GF labeled food was less likely to test positive for gluten in the West than in the Northeast United States (odds ratio 0.80; 95% confidence interval 0.67–0.95). CONCLUSIONS: This study of crowd-sourced data suggests that a substantial fraction of GF labeled restaurant foods contain detectable gluten. Although the highly sensitive Nima device may detect gluten at levels <20 parts per million (ppm), leading to gluten exposure of unknown clinical significance, our findings raise a potential concern. In addition, our findings of higher rates of gluten detection in pizza and pasta provide practical data when providing dining strategies for patients with celiac disease.

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Metadata

Authors
Lerner, B. A., Phan Vo, L. T., Yates, S., Rundle, A. G., Green, P. H. R., & Lebwohl, B.
Affiliations
  • Columbia University Irving Medical Center (US)
  • Department of Epidemiology, Mailman School of Public Health, Columbia University Medical Center, New York, NY, USA;
  • Nima (United States) (US)
Corresponding author
Lebwohl, Benjamin
Venue
American Journal of Gastroenterology
Published
2019-03-26
Volume
114
Issue
5
Pages
792-797
ISSN
  • 0002-9270 (ISSN-L)
  • 1572-0241
OpenAlex
W2934657065
Cited by
69
References
3
Citations by year
2026: 5 · 2025: 9 · 2024: 9 · 2023: 8 · 2022: 7 · 2021: 11 · 2020: 14 · 2019: 4
FWCI
8.20
Type
journal article
Language
en
Open access
Locations
  • The American Journal of Gastroenterology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Aging (R01AG049970)
  • National Institute of Diabetes and Digestive and Kidney Diseases (R44DK105770)
Topics
  • Health Sciences › Medicine › Gastroenterology › Celiac Disease Research and Management
  • Health Sciences › Medicine › Immunology and Allergy › Food Allergy and Anaphylaxis Research
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Safety and Hygiene
Keywords
gluten contamination, celiac disease, gluten-free diet adherence, NIMA, crowdsourced data, point-of-care testing, pizza, pasta, regional variation, gluten exposure
MeSH terms
Celiac Disease, Food Analysis, Glutens, Humans, Restaurants, Risk Factors, United States, Guidelines as Topic, Guideline Adherence, Diet, Gluten-Free, Crowdsourcing

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