Displaying 1 - 10 of 38

Guidance for the Use of Standard and Non-Standard Recipes in Quantitative 24-Hour Dietary Recall Surveys: The Simple Ingredient Method

This Intake publication provides guidance for the planning, data collection, and analysis work related to standard and non-standard recipe data in the context of quantitative 24-hour dietary recall…
2023
Vossenaar M, Hotz C, Lubowa A, Deitchler M, Moursi M, Arsenault J, Colaiezzi B, Arimond M

The Global Diet Quality Score: Data Collection Options and Tabulation Guidelines

This technical brief provides an overview of the Global Diet Quality Score (GDQS) - a new metric of diet quality validated for global use among non-pregnant non-lactating women of…
2023
Intake - Center for Dietary Assessment

The Global Diet Quality Score (GDQS): A New Method to Collect and Analyze Population-Based Data on Diet Quality

This Journal of Nutrition Supplement includes 11 articles documenting the work to develop, validate, and operationalize the Global Diet Quality Score - a new metric of diet quality…
2021

Intake4Earth App

Intake has developed a beta version of an Intake4Earth App to provide a simplified method to collect quantitative dietary data and provide automated reporting on the environmental impact of diets.…
2023
Intake - Center for Dietary Assessment

How to compile a portion size estimation method conversion factor database for a quantitative 24-hour dietary recall survey

This Intake publication provides detailed technical guidance for how to collect, compile, and use portion size estimation method conversion factors in the context of a quantitative 24-hour dietary…
2022
Vossenaar M, Hotz C, Arsenault J, Deitchler M, Moursi M, Lubowa A, Arimond M

Using Short-Term Dietary Intake Data to Address Research Questions Related to Usual Dietary Intake among Populations and Subpopulations: Assumptions, Statistical Techniques, and Considerations

This article provides important guidance related to the appropriate analysis and interpretation of quantitative 24-hour dietary recall data. The authors review assumptions, statistical techniques,…
2022
Sharon I Kirkpatrick, Patrician M Guenther, Amy F Subar, Susan M Krebs-Smith, Kirsten A Herrick, Laurence S Freedman, Kevin W Dodd

CSDietary Software Program

CSDietary is a software system developed by HarvestPlus and SerPro S.A. to support nutrition researchers around the world to enter, manage, and process data from quantitative 24-hour dietary recall…
2020
HarvestPlus, SerPro S.A.

Establishing Desirable Fortificant Levels for Calcium, Iron, and Zinc in Foods for Infant and Young Child Feeding: Examples from Three Asian Countries

This paper reports on the application of the World Health Organization's recommended procedures for establishing desirable fortificant levels for three problem micronutrients (calcium, iron, and zinc…
2014
Gibbs MM, Carriquiry AL, Capanzana MV, Gibson RS

The Population Distribution of Ratios of Usual Intakes of Dietary Components That Are Consumed Every Day Can Be Estimated from Repeated 24-Hour Recalls

This paper describes a statistical method to estimate the ratio of usual intakes and derives its distribution from 24-hour dietary recall data. The coding required for applying this statistical…
2010
Freedman LS, Guenther PM, Dodd KW, Krebs-Smith SM, Midthune D

Early Experience Analyzing Dietary Intake Data from the Canadian Community Health Survey-Nutrition Using the National Cancer Institute (NCI) Method

This article details the use of the NCI method for the analysis of two Canadian dietary data sets, describing steps in model selection and the use of covariates and stratification in the model,…
2019
Davis KA, Gonzalez A, Loukine L, Qiao C, Sadeghpour A, Vigneault M, Wang KC, Ibanez D