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.

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.

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