Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes

Nutrients. 2019 Nov 11;11(11):2732. doi: 10.3390/nu11112732.

Abstract

The study objective was to validate a food frequency and lifestyle questionnaire (FFLQ) to assess vitamin D intake and lifestyle factors affecting status.

Methods: Data collected previously during the fall (n = 86), winter (n = 49), and spring (n = 67) in collegiate-athletes (Study 1) and in active adults (n = 123) (Study 2) were utilized. Study 1: Vitamin D intake and ultraviolet B exposure were estimated using the FFLQ and compared to serum 25(OH)D concentrations via simple correlation and linear regression modeling. Study 2: Vitamin D intake from food was estimated using FFLQ and compared to vitamin D intake reported in 7-Day food diaries via paired t-test and Bland-Altman analysis.

Results: Study 1: Serum 25(OH)D was not associated with vitamin D intake from food, food plus supplements, or sun exposure, but was associated with tanning bed use (r = 0.39) in spring, supplement use in fall (r = 0.28), and BMI (body mass index) (r = -0.32 to -0.47) across all seasons. Serum 25(OH)D concentrations were explained by BMI, tanning bed use, and sun exposure in fall, (R = 0.42), BMI in winter (R = 0.32), and BMI and tanning bed use in spring (R = 0.52). Study 2: Estimated Vitamin D intake from food was 186.4 ± 125.7 via FFLQ and 148.5 ± 228.2 IU/day via food diary. There was no association between intake estimated by the two methodologies (r = 0.12, p < 0.05).

Conclusions: FFLQ-estimated vitamin D intake was not associated with serum 25(OH)D concentration or food-record-estimated vitamin D intake. Results highlight the difficulty of designing/utilizing intake methodologies for vitamin D, as its status is influenced by body size and both endogenous and exogenous (dietary) sources.

Keywords: FFQ; semi-quantitative food frequency questionnaire; sun exposure; vitamin D deficiency; vitamin D intake.

MeSH terms

  • Adult
  • Athletes / statistics & numerical data*
  • Diet / statistics & numerical data*
  • Female
  • Humans
  • Life Style
  • Male
  • Nutrition Surveys / standards*
  • Reproducibility of Results
  • Sunlight*
  • Surveys and Questionnaires / standards*
  • Vitamin D / blood*
  • Vitamin D Deficiency
  • Young Adult

Substances

  • Vitamin D