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Dietary Screener Questionnaire in the NHANES 2009-10: Data Processing & Scoring Procedures

Data Processing

Our NCI research team followed several steps to formulate the DSQ scoring algorithms. These steps are described here for researchers who may be interested in the methodologic process our team used. However, it is not necessary for researchers to follow these steps; a SAS program that integrates these steps is publicly available as are computed variables for the dietary variables in the NHANES DSQ.

Our steps consisted of:

  1. converting frequency data to daily frequency,
  2. identifying extreme exposure values, and
  3. classifying cereal data.

Scoring Procedures

Developing scoring algorithms

We developed scoring algorithms to convert screener responses to estimates of individual dietary intake for fruits and vegetables (cup equivalents), dairy (cup equivalents), added sugars (tsp), whole grains (ounce equivalents), fiber (g), and calcium (mg) using the What We Eat in America 24-hour dietary recall data from the 2003-2006 NHANES. Equations were estimated in the NHANES 2003-2006, using SAS PROC REG.

Estimating intakes

Using the scoring algorithms we developed, we performed the following steps to estimate the individual intake of fruits and vegetables (cup equivalents), dairy (cup equivalents), added sugars (tsp), whole grains (ounce equivalents), fiber (g), and calcium (mg).

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Last Modified: 11 Apr 2014