The beverage intake questionnaire: determining initial validity and reliability

J Am Diet Assoc. 2010 Aug;110(8):1227-32. doi: 10.1016/j.jada.2010.05.005.

Abstract

Consuming energy-containing beverages may lead to weight gain, yet research investigating this issue is limited. An easily administered beverage intake assessment tool could facilitate research on this topic. The purpose of this cross-sectional investigation was to determine the validity and reliability of a self-administered beverage intake questionnaire (BEVQ) that estimates mean daily intake of beverages consumed across 19 beverage categories. Participants (N=105; aged 39+/-2 years) underwent assessments of height, weight, body mass index, and dietary intake using 4-day food intake records from June 2008 to June 2009. The BEVQ was completed at two additional visits (BEVQ1, BEVQ2). Urine samples were collected to objectively determine total fluid intake and encourage accurate self-reporting. Validity was assessed by comparing BEVQ1 with food intake record results; reliability was assessed by comparing BEVQ1 and BEVQ2. Analyses included descriptive statistics, bivariate correlations, paired samples t tests, and independent samples t tests. Self-reported water and total beverage intake (in grams) were not different between the BEVQ1 and food intake records (mean difference 129+/-77 g [P=0.096] and 61+/-106 g [P=0.567], respectively). Total beverage and sugar-sweetened beverage energy intake were significantly different, although mean differences were small (63 and 44 kcal, respectively). Daily consumption (in grams) of water (r=0.53), total beverages (r=0.46), and sugar-sweetened beverages (r=0.49) determined by the BEVQ1 were correlated with reported intake determined by the food intake record, as was energy from total beverages (r=0.61) and sugar-sweetened beverages (r=0.59) (all P values <0.001). Reliability was demonstrated, with correlations (P<0.001) detected between BEVQ1 and BEVQ2 results. The BEVQ is a valid, reliable, and rapid self-administered dietary assessment tool.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Beverages* / analysis
  • Beverages* / statistics & numerical data
  • Biomarkers / urine
  • Body Mass Index
  • Cross-Sectional Studies
  • Diet Records
  • Diet Surveys
  • Energy Intake*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Nutrition Assessment
  • Obesity / epidemiology
  • Obesity / prevention & control
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Surveys and Questionnaires / standards*
  • Young Adult

Substances

  • Biomarkers