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NHANES Dietary Web Tutorial

Examine the Relationship Between Dietary Intake and Some Outcome Measure

Purpose

The term “dietary intake” in this module will include foods and beverages reported on the 24-hour recalls.  Researchers are often interested in relating an individual’s usual intake of dietary components to health parameters. Due to the different statistical properties of distributions for ubiquitously-consumed dietary constituents (i.e, nutrients and food groups consumed on a daily or almost daily basis), and episodically-consumed dietary constituents (i.e., nutrients and food groups that are not consumed every day for more than about 5% of the population), different models are fit for ubiquitously-consumed and episodically-consumed dietary constituents.  This module will focus on using the method developed by researchers at NCI and elsewhere (the “NCI method”) for the case of ubiquitously- and episodically-consumed dietary constituents.

Info iconIMPORTANT NOTE

Many of the statistical methods used in this course are advanced, and may require consultation with a statistician. For modules 18-22, it is required that you have the statistical knowledge of mixed effects models, and program knowledge of calling in SAS macros. Since Module 18 provides the background information for Modules 19-22, it is advised that you carefully read Module 18 first before tackling other modules.

Task 1: Describe Regression Calibration

This task provides an overview of regression calibration.

Task 2: Examine the Relationship between Usual Intake of a Single Ubiquitously-consumed Dietary Constituent and Some Outcome

This task describes the use of statistical methods to estimate the individual-level predictions of a ubiquitously-consumed dietary constituent, such as a nutrient that is consumed daily, and relate this intake to a health parameter.

Task 3: Examine the Relationship between Usual Intake of a Single Episodically-Consumed Dietary Constituent and Some Outcome

This task describes the use of statistical methods to estimate the individual-level predictions of an episodically-consumed dietary constituent, such as a food group that is not consumed every day, and relate intake to a health parameter, using the NCI method.

 

 

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