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

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...

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Autores principales: Larson-Meyer, D. Enette, Douglas, Corey S., Thomas, Joi J., Johnson, Evan C., Barcal, Jacqueline N., Heller, Jenna E., Hollis, Bruce W., Halliday, Tanya M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893639/
https://www.ncbi.nlm.nih.gov/pubmed/31717985
http://dx.doi.org/10.3390/nu11112732
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author Larson-Meyer, D. Enette
Douglas, Corey S.
Thomas, Joi J.
Johnson, Evan C.
Barcal, Jacqueline N.
Heller, Jenna E.
Hollis, Bruce W.
Halliday, Tanya M.
author_facet Larson-Meyer, D. Enette
Douglas, Corey S.
Thomas, Joi J.
Johnson, Evan C.
Barcal, Jacqueline N.
Heller, Jenna E.
Hollis, Bruce W.
Halliday, Tanya M.
author_sort Larson-Meyer, D. Enette
collection PubMed
description 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.
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spelling pubmed-68936392019-12-23 Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes Larson-Meyer, D. Enette Douglas, Corey S. Thomas, Joi J. Johnson, Evan C. Barcal, Jacqueline N. Heller, Jenna E. Hollis, Bruce W. Halliday, Tanya M. Nutrients Article 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. MDPI 2019-11-11 /pmc/articles/PMC6893639/ /pubmed/31717985 http://dx.doi.org/10.3390/nu11112732 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Larson-Meyer, D. Enette
Douglas, Corey S.
Thomas, Joi J.
Johnson, Evan C.
Barcal, Jacqueline N.
Heller, Jenna E.
Hollis, Bruce W.
Halliday, Tanya M.
Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes
title Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes
title_full Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes
title_fullStr Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes
title_full_unstemmed Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes
title_short Validation of a Vitamin D Specific Questionnaire to Determine Vitamin D Status in Athletes
title_sort validation of a vitamin d specific questionnaire to determine vitamin d status in athletes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6893639/
https://www.ncbi.nlm.nih.gov/pubmed/31717985
http://dx.doi.org/10.3390/nu11112732
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