Adults with alcohol use disorder may overreport dietary intake using the 1-year Diet History Questionnaire II

Nutr Res. 2019 Jul:67:53-59. doi: 10.1016/j.nutres.2019.05.002. Epub 2019 May 11.

Abstract

Minimal recent research explores how alcohol use disorder (AUD) affects dietary intake during periods of alcohol consumption. Therefore, we aimed to assess the feasibility and utility of a computerized food frequency questionnaire, the Diet History Questionnaire II (DHQ II), to quantify dietary intake in adults with AUD. Participants were adult men and women seeking treatment for AUD at the National Institutes of Health Clinical Center. Participants (N = 21) were enrolled in an observational study examining the microbiome in AUD. The Web-based DHQ II, reflecting dietary intake over the past year, was administered to participants within 2 weeks of admission to an inpatient alcohol rehabilitation program. Descriptive data are reported as mean ± SEM. Analyses were run in the Statistical Package for the Social Sciences, and P < .05 was considered significant. Participants (67% male) were 46.3 ± 2.8 years old with a body mass index of 23.8 ± 0.6 kg/m2. Average energy intake was 27961.7 ± 3205.8 kj, alcohol intake was 4723.0 ± 75.8 g (45% kcal), carbohydrate intake was 514.3 ± 66.8 g (31% kcal), fat intake was 101.2 ± 13.6 g (16% kcal), and protein intake was 122.8 ± 17.0 g (8% kcal). In this population of adults with AUD, DHQ II results showed energy and micronutrient intakes that were higher than, but macronutrient distribution that was similar to, previous findings in similar populations.

Keywords: Alcohol use disorder; Energy intake; Macronutrients; Micronutrients; Nutrition assessment; Questionnaires.

Publication types

  • Observational Study
  • Research Support, N.I.H., Intramural

MeSH terms

  • Alcoholism / rehabilitation*
  • Diet Records*
  • Feasibility Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nutritional Status*
  • Reproducibility of Results
  • Surveys and Questionnaires / statistics & numerical data*