Literature DB >> 8315166

Method for identifying differences between existing food intake patterns and patterns that meet nutrition recommendations.

L E Cleveland1, A J Escobar, S M Lutz, S O Welsh.   

Abstract

This article describes a mathematical model that takes an existing food intake pattern and develops a new pattern that meets a specified set of nutrition recommendations with the minimum change possible. The model examines multiple recommendations simultaneously and considers foods as they are currently eaten, so it can provide practitioners with new insights about strategies for implementing recommendations. The model shows serving units per day by food group in both existing and new intake patterns and the recommendations responsible for changes. Recommendations of the National Research Council are used, and sodium-restricted (< or = 2,400 mg) and sodium-unrestricted patterns are compared. Food intake data are from 915 nonpregnant, nonlactating women 19 to 50 years old who participated in the US Department of Agriculture's 1985 Continuing Survey of Food Intake by Individuals. The sodium-restricted pattern contains proportionately more dairy products, fruit, and red meat and proportionately less grain products, fish, and vegetables than the unrestricted-sodium pattern. Nutrition recommendations responsible for changes in the existing pattern include those for saturated fatty acids (< 10% kcal), carbohydrate (> or = 55% kcal), zinc (100% of Recommended Dietary Allowance [RDA]), potassium (> or = 3,500 mg/day), and vitamin E (100% RDA), in addition to sodium. Implications of the sodium recommendation for food selection and preparation, especially of food mixtures and commercially prepared products, are discussed.

Entities:  

Mesh:

Year:  1993        PMID: 8315166     DOI: 10.1016/0002-8223(93)91816-9

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  5 in total

1.  US adults' fruit and vegetable intakes, 1989 to 1991: a revised baseline for the Healthy People 2000 objective.

Authors:  S M Krebs-Smith; A Cook; A F Subar; L Cleveland; J Friday
Journal:  Am J Public Health       Date:  1995-12       Impact factor: 9.308

2.  Diet models with linear goal programming: impact of achievement functions.

Authors:  J C Gerdessen; J H M de Vries
Journal:  Eur J Clin Nutr       Date:  2015-04-22       Impact factor: 4.016

3.  Fruit and vegetable intake among adults in 16 states: results of a brief telephone survey.

Authors:  M K Serdula; R J Coates; T Byers; E Simoes; A H Mokdad; A F Subar
Journal:  Am J Public Health       Date:  1995-02       Impact factor: 9.308

Review 4.  Mathematical Optimization to Explore Tomorrow's Sustainable Diets: A Narrative Review.

Authors:  Rozenn Gazan; Chloé M C Brouzes; Florent Vieux; Matthieu Maillot; Anne Lluch; Nicole Darmon
Journal:  Adv Nutr       Date:  2018-09-01       Impact factor: 8.701

5.  Planning dietary improvements without additional costs for low-income individuals in Brazil: linear programming optimization as a tool for public policy in nutrition and health.

Authors:  Eliseu Verly-Jr; Rosely Sichieri; Nicole Darmon; Matthieu Maillot; Flavia Mori Sarti
Journal:  Nutr J       Date:  2019-07-20       Impact factor: 3.271

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.