ArticleNutrients2019
Designing Optimal Breakfast for the United States Using Linear Programming and the NHANES 2011-2014 Database: A Study from the International Breakfast Research Initiative (IBRI).
Article in Nutrients, 2019. 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.
- Nutritional Contribution and Quality of Lunches Consumed During School Lunch Periods in Canadian Elementary Schools: A Plate Waste Analysis.Nutrients · 2026Article
- Article
- A three-component Breakfast Quality Score (BQS) to evaluate the nutrient density of breakfast meals.Frontiers in nutrition · 2023Review
- Breakfast consumption trends among young Australian children aged up to 5 years: results from InFANT program.Frontiers in endocrinology · 2023Article
- Some Ultra-Processed Foods Are Needed for Nutrient Adequate Diets: Linear Programming Analyses of the Seattle Obesity Study.Nutrients · 2021Article
- Nutritional breakfast quality and cardiometabolic risk factors: Health Survey of São Paulo, a population-based study.Public health nutrition · 2021Article
- What do Australian adults eat for breakfast? A latent variable mixture modelling approach for understanding combinations of foods at eating occasions.The international journal of behavioral nutrition and physical activity · 2021Article
- Coffee Consumption among Adults in the United States by Demographic Variables and Purchase Location: Analyses of NHANES 2011-2016 Data.Nutrients · 2020Article
- Tea Consumption Patterns in Relation to Diet Quality among Children and Adults in the United States: Analyses of NHANES 2011-2016 Data.Nutrients · 2019Article
- An Overlap Between "Ultraprocessed" Foods and the Preexisting Nutrient Rich Foods Index?Nutrition todayArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The quality of dietary patterns can be optimized using a mathematical technique known as linear programming (LP). LP methods have rarely been applied to individual meals. The present LP models optimized the breakfast meal for those participants in the nationally representative National Health and Nutrition Examination Survey 2011-2014 who ate breakfast (
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Registered trials
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