Dietary Screener Questionnaire (DSQ) in the NHANES 2009-10: Computed Variables

The computed dietary variables for the Dietary Screener Questionnaire in NHANES 2009-10 are available for download in two formats -- SAS transport [XPT - 2.4 MB] and comma-separated values (CSV) [CSV - 3.3 MB]. The files include the following variables:

• SEQN - Unique individual identifier

Variables to estimate mean intakes:

• DSQfvl - Predicted intake of fruits and vegetables including legumes and French fries (cup equivalents) per day
• DSQfvlnf - Predicted intake of fruits and vegetables including legumes and excluding French fries (cup equivalents) per day
• DSQfrt - Predicted intake of fruits (cup equivalents) per day
• DSQvlall - Predicted intake of vegetables including legumes and French fries (cup equivalents) per day
• DSQvlnf - Predicted intake of vegetables including legumes and excluding French fries (cup equivalents) per day
• DSQdairy - Predicted intake of dairy (cup equivalents) per day
• DSQsug - Predicted intake of total added sugars (tsp equivalents) per day
• DSQssb - Predicted intake of added sugars from sugar-sweetened beverages (tsp equivalents) per day
• DSQwhgr - Predicted intake of whole grains (ounce equivalents) per day
• DSQfib - Predicted intake of fiber (gm) per day
• DSQcalc - Predicted intake of calcium (mg) per day

Variables to estimate low threshold prevalence:

• DSQfvl_low - Predicted probability of eating less than 1.7 cup equivalents of fruits and vegetables including legumes and French fries
• DSQfvlnf_low - Predicted probability of eating less than 1.7 cup equivalents of fruits and vegetables including legumes and excluding French fries
• DSQfrt_low - Predicted probability of eating less than 0.5 cup equivalents of fruits
• DSQvlall_low - Predicted probability of eating less than 1.0 cup equivalents of vegetables including legumes and French fries
• DSQvlnf_low - Predicted probability of eating less than 1.0 cup equivalents of vegetables including legumes and excluding French fries
• DSQdairy_low - Predicted probability of eating less than 1.2 cup equivalents of dairy
• DSQsug_low - Predicted probability of eating less than 11 tsp equivalents of total added sugars
• DSQssb_low - Predicted probability of eating less than 3 tsp equivalents of added sugars from sugar-sweetened beverages
• DSQwhgr_low - Predicted probability of eating less than 0.3 ounce equivalents of whole grains
• DSQfib_low - Predicted probability of eating less than 12 grams of fiber
• DSQcalc_low - Predicted probability of eating less than 800 milligrams of calcium

Variables to estimate high threshold prevalence:

• DSQfvl_high - Predicted probability of eating equal or more than 3.2 cup equivalents of fruits and vegetables including legumes and French fries
• DSQfvlnf_high - Predicted probability of eating equal or more than 3.2 cup equivalents of fruits and vegetables including legumes and excluding French fries
• DSQfrt_high - Predicted probability of eating equal or more than 1.4 cup equivalents of fruits
• DSQvall_high - Predicted probability of eating equal or more than cup equivalents of 1.8 of vegetables including legumes and French fries
• DSQvlnf_high - Predicted probability of eating equal or more than 1.8 cup equivalents of vegetables including legumes and excluding French fries
• DSQdairy_high - Predicted probability of eating equal or more than 2.4 cup equivalents of dairy
• DSQsug_high - Predicted probability of eating equal or more than 23 tsp equivalents of total added sugars
• DSQssb_high - Predicted probability of eating equal or more than 11 tsp equivalents of added sugars from sugar-sweetened beverages
• DSQwhgr_high - Predicted probability of eating equal or more than 1.0 ounce equivalents of whole grains
• DSQfib_high - Predicted probability of eating equal or more than 19 grams of fiber (gm)
• DSQcalc_high - Predicted probability of eating equal or more than 1100 milligrams of calcium (mg)

The datasets are sorted in ascending order by the ID variable SEQN.

• Comma-separated Values File [CSV - 3.3 MB]
  This file contains the comma-separated values file, which includes 34 variables, 7,861 records, and an additional record for the variable names.
• SAS Transport File [XPT - 2.4 MB]
  The SAS transport file includes 7,861 records and 34 variables. To access the SAS dataset, unzip the file, then use proc cimport. For example:
  proc cimport file='nh0910.DSQvars.xpt' data=dietvars;
• Supplement Excel Files [ZIP - 61 KB]
  This zip file contains 3 Excel files that are required to run the SAS program.

Note that 680 respondents did not answer the DSQ. When one or more values is missing in the estimation of the computed diet variable, that value for that variable will also be missing.