ArticleFrontiers in nutrition2021
Heterogeneity in Meat Food Groups Can Meaningfully Alter Population-Level Intake Estimates of Red Meat and Poultry.
Article in Frontiers in nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Effects of red meat taxes and warning labels on food groups selected in a randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2024Trial
- Plant-based analogues to meat and dairy for sustainable food systems.The Proceedings of the Nutrition Society · 2026Review
- Disaggregation of Dairy in Composite Foods in the United Kingdom.Current developments in nutrition · 2024Article
- Pork Meat Composition and Health: A Review of the Evidence.Foods (Basel, Switzerland) · 2024Review
- Consumption of beef sandwiches in the United States and contributions to intake of energy and select nutrients.Frontiers in nutrition · 2024Article
- Acoustic Characterization Study of Beef Loins Using Ultrasonic Transducers.Sensors (Basel, Switzerland) · 2023Article
- Dietary consumption of beef and red meat: a scoping review and evidence map on cognitive outcomes across the lifespan.Public health nutrition · 2023Article
- Trends in Beef Intake in the United States: Analysis of the National Health and Nutrition Examination Survey, 2001-2018.Nutrients · 2023Article
- Nutritional Effects of Removing a Serving of Meat or Poultry from Healthy Dietary Patterns-A Dietary Modeling Study.Nutrients · 2023Article
- Benefits and Risks Associated with Meat Consumption during Key Life Processes and in Relation to the Risk of Chronic Diseases.Foods (Basel, Switzerland) · 2022Review
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Authors and funding
4 authors.
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Abstract
Heterogeneity in meat food groups hinders interpretation of research regarding meat intake and chronic disease risk. Our objective was to investigate how heterogeneity in red meat (RM) and poultry food groups influences US population intake estimates. Based on a prior systematic review, we created an ontology of methods used to estimate RM [1= unprocessed RM; 2 (reference)= unprocessed RM + processed RM; 3= unprocessed RM + processed RM + processed poultry; and 4=unprocessed RM + processed RM + processed poultry + chicken patties/nuggets/tenders (PNT)] and three for poultry [A=unprocessed poultry; B= unprocessed poultry + PNT; C (reference)= unprocessed poultry + processed poultry + PNT). We applied methods to 2015-18 National Health and Nutrition Examination Survey data to estimate RM and poultry intake prevalence and amount. We estimated and compared intakes within RM and within poultry methods
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