Displaying 11 - 20 of 57

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.

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.

2020
HarvestPlus, SerPro S.A.

Dietary Survey Protocol Template: An Outline to Assist with the Development of a Protocol for a Quantitative 24-Hour Dietary Recall Survey in a Low- or Middle-Income Country

The objective of this Intake Survey Planning Tool is to assist survey planners with the development of a survey protocol for a quantitative 24-hour dietary recall survey in a low- or middle-…

2020
Intake - Center for Dietary Assessment

Recommended Specifications for Dietary Scales for Use in Quantitative 24-Hour Dietary Recall Surveys in Low- and Middle-Income Countries

This Intake survey guidance document provides recommended specifications for dietary scales for use in quantitative 24-hour dietary recall surveys in low- and middle-income countries. …

2020
Vossenaar M, Hotz C, Lubowa A, Ferguson E, Deitchler M

Routines and Procedures to Test the Accuracy and Precision of Digital Dietary Scales Used in Quantitative 24-Hour Dietary Recall Surveys

This Intake survey guidance describes recommended routines and procedures to test the accuracy and precision of digital dietary scales during all phases of survey work - before first use, during…

2020
Vossenaar M, Deitchler M, Hotz C, Lubowa A, Ferguson E

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.

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…

2019
Davis KA, Gonzalez A, Loukine L, Qiao C, Sadeghpour A, Vigneault M, Wang KC, Ibanez D

Perspective: Proposed Harmonized Nutrient Reference Values for Populations

This review proposes an approach for harmonizing nutrient reference values of nutrient adequacy requirements and upper tolerable nutrient intake limits, across countries for use in dietary data…

2020
Allen LH, Carriquiry AL, Murphy SP

Does Exclusion of Extreme Reporters of Energy Intake (the "Goldberg Cutoffs") Reliably Reduce or Eliminate Bias in Nutrition Studies? Analysis with Illustrative Associations of Energy Intake with Health Outcomes

This paper explores whether application of the Goldberg method for identifying outliers of self-reported energy intake lessens or removes bias when assessing the relationship of energy intake with…

2019
Ejima K, Brown AW, Schoeller DA, Heymsfield SB, Nelson EJ, Allison DB

Utilizing Dietary Nutrient Ratios in Nutritional Research: Expanding the Concept of Nutrient Ratios to Macronutrients

This paper shows how the concept of nutrient ratios can be expanded to macronutrients to reflect that dietary constituents such as proteins, carbohydrates, and saturated fats are not consumed in…

2019
Kelly OJ, Gilman JC, Ilich JZ