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NHANES Dietary Web Tutorial

Objectives

The list below outlines the objectives for each course in the tutorial.  After completing the modules, users should be able to do the following:

 

 

Survey Orientation

Module 1: Dietary Data Overview

Task 1: Describe the History of Dietary Data Collection
Task 2: Describe NHANES Dietary Data Collection Methods
Task 3: Describe Uses of the Dietary Data

Module 2: Navigate NHANES Website

Task 1: Navigate the NHANES Homepage
Task 2: Locate Datasets on the NHANES Website
Task 3: Locate Survey Background Information
Task 4: Locate the Analytic and Reporting Guidelines
Task 5: Locate Other Useful Information on the NHANES Website

Module 3: Dietary Data Structure & Contents

Task 1: Describe How Dietary Data Fit into the NHANES Data Structure
Task 2: Describe Dietary Recall Data Files
Task 3: Describe Food Frequency Data Files
Task 4: Describe Dietary Supplement Data Files

Module 4: Resources for Dietary Data Analysis

Task 1: Describe the Food and Nutrient Database for Dietary Studies (FNDDS)
Task 2: Describe the USDA Food Coding Scheme
Task 3: Describe the Food Surveys Research Group (FSRG) -Defined Food Groups
Task 4: Describe the What’s In the Foods You Eat Search Tool
Task 5: Describe the MyPyramid Equivalents Database

Module 5: Overview of NHANES Survey Design and Weights

Task 1: Explain NHANES Survey Design
Task 2: Explain NHANES Sample Weights

 

Preparing a Dietary Analytic Dataset

Module 6: Locate Variables

Task 1: Identify Dietary Recall Variables and Their File Locations         
Task 2: Identify Food Frequency Variables and Their File Locations
Task 3: Identify Dietary Supplement Variables and Their File Locations
Task 4: Identify Correct Sample Weights and Their File Locations

Module 7: Download Data Files

Task 1: Create Folders
Task 2: Download Data Files and Documentation
Task 3: Extract and Copy NHANES Data Files in a Permanent Library

Module 8: Merge & Append Datasets

Task 1: Merge NHANES Data
Task 2: Append NHANES Data

Module 9: Review Data & Create New Variables

Task 1: Identify, Recode, and Evaluate Missing Data
Task 2: Check for Skip Patterns and Explain How They Affect Results
Task 3: Check the Data for Influential Outliers
Task 4: Create New Variables

Module 10: Format & Label Variables

Task 1: Define and Assign Formats and Labels

Module 11: Save a Dataset

Task 1: Create a permanent dataset in a SAS library

 

Basic Dietary Analyses

Module 12: Identify Important Statistical Considerations Regarding Dietary Data Analyses

Task 1: Define Measurement Error
Task 2: Explain Usual Intake and Day-To-Day Variation in Dietary Intakes
Task 3: Check for Data Symmetry
Task 4: Identify Analytic Implications about Different Types of Dietary Data

Module 13: Estimate Variance and Analyze Subgroups

Task 1: Use SUDAAN and SAS to Estimate Variance
Task 2: Use SUDAAN to Analyze Subgroups

Module 14: Estimate Population Mean Intakes

Task 1: Estimate Mean Food Intakes
Task 2: Estimate Mean Nutrient Intakes from Foods and Beverages
Task 3: Estimate Mean Nutrient Intakes from Supplements
Task 4: Estimate Mean Total Nutrient Intakes

Module 15: Estimate Ratios

Task 1: Estimate Food Sources of Nutrients
Task 2: Estimate Population-level Ratios of Intake

Module 16: Test Hypotheses

Task 1: Estimate Prevalence of Supplement Intake
Task 2: Estimate Distributions of Food Intake
Task 3: Estimate Distributions of Nutrient Intake
Task 4: Estimate Distributions of Total Nutrient Intake from Foods and Supplements 

 

Advanced Dietary Analyses

Module 17: Estimate Prevalence of Supplement Use and Examine Relationships Using Supplement Data

Task 1: Estimating Prevalence of Supplement Use
Task 2: Examining the Relationship Between Supplement Use and a Categorical Outcome using a Chi-Square Test
Task 3: Examining the Relationship Between Supplement Use and a Dichotomous Outcome using Logistic Regression
Task 4: Examining the Relationship between Supplement Use and a Continuous Outcome Using a T-test
Task 5: Examining the Relationship between Supplement Use and a Continuous Outcome Using Multiple Regression

Module 18: Model Usual Intake Using Dietary Recall Data

Task 1: Describing Measurement Error
Task 2: Describing Statistical Methods that Have Been Used to Estimate the Distribution of Usual Intake with a Few Days of 24-hour Recalls
Task 3: Using a Unified Framework to Estimate Usual Dietary Intakes
Task 4: Using Balanced Repeated Replication to Estimate Standard Errors

Module 19: Evaluate the Effects of Covariates on Usual Dietary Intakes

Task 1: Evaluating the Effects of Covariates on Usual Intake of a Single Ubiquitously-Consumed Dietary Constituent
Task 2: Evaluating the Effects of Covariates on Usual Intake of a Single Episodically-Consumed Dietary Constituent

Module 20: Estimate Population-Level Distributions of Usual Dietary Intake

Task 1: Estimating Distributions of Usual Intake for a Single Ubiquitously-consumed Dietary Constituent for One Population or Subpopulation
Task 2: Estimating Distributions of Usual Intake for a Single Ubiquitously-consumed Dietary Constituent for Two or more Subpopulations using a Covariate
Task 3: Estimating Distributions of Usual Intake for a Single Episodically-consumed Dietary Constituents
Task 4: Estimating Population Distributions of Ratios of Usual Intakes of Two Dietary Constituents that are Ubiquitously Consumed

Module 21: Examine the Relationship Between Usual Dietary Intake and Some Outcome Measure

Task 1: Describe Regression Calibration
Task 2: Examine the Relationship between Usual Intake of a Single Ubiquitously-consumed Dietary Constituent and Some Outcome
Task 3: Examine the Relationship between Usual Intake of a Single Episodically-Consumed Dietary Constituent and Some Outcome

Module 22: Examine Usual Total Nutrient Intake from Supplements and Diet

Task 1: Estimate Distributions of Total Nutrient Intake

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