Displaying 11 - 20 of 59

CSDietary Software Program

CSDietary is a software system developed by HarvestPlus and SerPro S.A.

2020
HarvestPlus, SerPro S.A.

Improving Nutrition through Food Fortification Policy and Programming: Ensuring an Evidence-Based Design with Country-Specific Quantitative 24-Hour Dietary Recall Data

This Intake Advocacy Note describes how country-specific quantitative 24-hour dietary data can be used to inform the evidence-based design of food-based fortification policy and…

2020
Intake - Center for Dietary Assessment

Improving Nutrition through the Development of Food-Based Dietary Guidelines: The Need for Country-Specific Quantitative 24-Hour Dietary Recall Data

This Intake Advocacy Note describes how country-specific quantitative 24-hour dietary data can be used in the development of food based-dietary guidelines to improve nutrition in low-…

2020
Intake - Center for Dietary Assessment

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

Assessing Dietary Outcomes in Intervention Studies: Pitfalls, Strategies, and Research Needs

This paper highlights methodological and statistical considerations relevant to measuring dietary outcomes within intervention studies using dietary recall data.

2018
Kirkpatrick SI, Collins CE, Keogh RH, Krebs-Smith SM, Neuhouser ML, Wallace A

A New Multivariate Measurement Error Model with Zero-Inflated Dietary Data, and Its Application to Dietary Assessment

This paper describes a statistical approach to model dietary pattern data when multiple dietary constituents are analyzed simultaneously, using a multivariate error model with zero-inflated…

2011
Zhang S, Midthune D, Guenther PM, Krebs-Smith SM, Kipnis V, Dodd KW, Buckman DW, Tooze JA, Freedman LS, Carroll RJ