Can a questionnaire predict vitamin D status in postmenopausal women?

Our objective was to determine whether a questionnaire can identify individuals with vitamin D insufficiency (VDI). Women completed the Vitamin D & Sun (VIDSUN) questionnaire and we measured their serum 25-hydrocyvitamin D (25(OH)D) levels. We assessed the sensitivity and specificity of the ques...

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Published in:Public health nutrition 2014-04, Vol.17 (4), p.739-746
Main Authors: Nabak, Andrea C, Johnson, Rachael Erin, Keuler, Nicholas S, Hansen, Karen E
Format: Article
Language:English
Subjects:
Aged
Air. Soil. Water. Waste. Feeding
Biological and medical sciences
Body Mass Index
Bone density
Dietary Supplements
Disease
Environment. Living conditions
Female
Health care
HOT TOPIC – Public health nutrition aspects of vitamin D
Humans
Logistic Models
Medical sciences
Middle Aged
Nutrition research
Nutritional Status
Oophorectomy
Postmenopause - blood
Public health. Hygiene
Public health. Hygiene-occupational medicine
Questionnaires
Reproducibility of Results
Sensitivity and Specificity
Sunburn & sun tanning
Sunlight
Surveys and Questionnaires
Variables
Vitamin D
Vitamin D - administration & dosage
Vitamin D - blood
Vitamin D Deficiency - blood
Vitamin deficiency
Womens health
Young adults
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description Our objective was to determine whether a questionnaire can identify individuals with vitamin D insufficiency (VDI). Women completed the Vitamin D & Sun (VIDSUN) questionnaire and we measured their serum 25-hydrocyvitamin D (25(OH)D) levels. We assessed the sensitivity and specificity of the questionnaire to identify VDI (25(OH)D level
doi_str_mv 10.1017/S1368980013001973
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Women completed the Vitamin D & Sun (VIDSUN) questionnaire and we measured their serum 25-hydrocyvitamin D (25(OH)D) levels. We assessed the sensitivity and specificity of the questionnaire to identify VDI (25(OH)D level <50 nmol/l). Clinical Research Unit, University of Wisconsin-Madison. Postmenopausal women. We recruited 609 postmenopausal women with a mean age of 61 (sd 6 years), of whom 113 (19%) had VDI. Women with VDI were more likely to be black (17% v. 2%, P < 0.001), heavier (BMI 33.0 (sd 7) kg/m2 v. 29.0 (sd 7) kg/m2, P < 0.001) and less likely to tan in the past year (49% v. 72%, P < 0.001), use sunscreen (57% v. 72%, P < 0.001) or report sun exposure in the last 3 months. They consumed less vitamin D from supplements (2.15 (sd 5.24) μg/d (86 (sd 210) IU/d) v. 4.55 (sd 8.48) μg/d (188 (sd 344) IU/d), P = 0.003). In logistic regression models, black race, BMI, suntan within the past year, sun exposure in the past 3 months, sunscreen use and supplemental vitamin D intake were the most useful questions to identify VDI. From these six items, a composite score of ≤ 2.25 demonstrated ≥89% sensitivity but ≤35% specificity for VDI. The VIDSUN questionnaire provides an initial tool to identify postmenopausal women at high or low risk of VDI. Existing studies suggest that inclusion of physical activity and TAG levels might improve the performance of the VIDSUN questionnaire.]]></description><identifier>ISSN: 1368-9800</identifier><identifier>EISSN: 1475-2727</identifier><identifier>DOI: 10.1017/S1368980013001973</identifier><identifier>PMID: 23870503</identifier><language>eng</language><publisher>Cambridge, UK: Cambridge University Press</publisher><subject>Aged ; Air. Soil. Water. Waste. 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Hygiene-occupational medicine ; Questionnaires ; Reproducibility of Results ; Sensitivity and Specificity ; Sunburn &amp; sun tanning ; Sunlight ; Surveys and Questionnaires ; Variables ; Vitamin D ; Vitamin D - administration &amp; dosage ; Vitamin D - blood ; Vitamin D Deficiency - blood ; Vitamin deficiency ; Womens health ; Young adults</subject><ispartof>Public health nutrition, 2014-04, Vol.17 (4), p.739-746</ispartof><rights>Copyright © The Authors 2013</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c600t-a32ae3528cb4c0b667f6128e33caf6926cd83d904484f254395637447159f9663</citedby><cites>FETCH-LOGICAL-c600t-a32ae3528cb4c0b667f6128e33caf6926cd83d904484f254395637447159f9663</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976225/pdf/$$EPDF$$P50$$Gpubmedcentral$$H</linktopdf><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1368980013001973/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53770,53772,72707</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=28460067$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23870503$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nabak, Andrea C</creatorcontrib><creatorcontrib>Johnson, Rachael Erin</creatorcontrib><creatorcontrib>Keuler, Nicholas S</creatorcontrib><creatorcontrib>Hansen, Karen E</creatorcontrib><title>Can a questionnaire predict vitamin D status in postmenopausal women?</title><title>Public health nutrition</title><addtitle>Public Health Nutr</addtitle><description><![CDATA[Our objective was to determine whether a questionnaire can identify individuals with vitamin D insufficiency (VDI). 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Women completed the Vitamin D & Sun (VIDSUN) questionnaire and we measured their serum 25-hydrocyvitamin D (25(OH)D) levels. We assessed the sensitivity and specificity of the questionnaire to identify VDI (25(OH)D level <50 nmol/l). Clinical Research Unit, University of Wisconsin-Madison. Postmenopausal women. We recruited 609 postmenopausal women with a mean age of 61 (sd 6 years), of whom 113 (19%) had VDI. Women with VDI were more likely to be black (17% v. 2%, P < 0.001), heavier (BMI 33.0 (sd 7) kg/m2 v. 29.0 (sd 7) kg/m2, P < 0.001) and less likely to tan in the past year (49% v. 72%, P < 0.001), use sunscreen (57% v. 72%, P < 0.001) or report sun exposure in the last 3 months. They consumed less vitamin D from supplements (2.15 (sd 5.24) μg/d (86 (sd 210) IU/d) v. 4.55 (sd 8.48) μg/d (188 (sd 344) IU/d), P = 0.003). In logistic regression models, black race, BMI, suntan within the past year, sun exposure in the past 3 months, sunscreen use and supplemental vitamin D intake were the most useful questions to identify VDI. From these six items, a composite score of ≤ 2.25 demonstrated ≥89% sensitivity but ≤35% specificity for VDI. The VIDSUN questionnaire provides an initial tool to identify postmenopausal women at high or low risk of VDI. Existing studies suggest that inclusion of physical activity and TAG levels might improve the performance of the VIDSUN questionnaire.]]></abstract><cop>Cambridge, UK</cop><pub>Cambridge University Press</pub><pmid>23870503</pmid><doi>10.1017/S1368980013001973</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
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source PubMed (Medline); Cambridge University Press
subjects Aged
Air. Soil. Water. Waste. Feeding
Biological and medical sciences
Body Mass Index
Bone density
Dietary Supplements
Disease
Environment. Living conditions
Female
Health care
HOT TOPIC – Public health nutrition aspects of vitamin D
Humans
Logistic Models
Medical sciences
Middle Aged
Nutrition research
Nutritional Status
Oophorectomy
Postmenopause - blood
Public health. Hygiene
Public health. Hygiene-occupational medicine
Questionnaires
Reproducibility of Results
Sensitivity and Specificity
Sunburn & sun tanning
Sunlight
Surveys and Questionnaires
Variables
Vitamin D
Vitamin D - administration & dosage
Vitamin D - blood
Vitamin D Deficiency - blood
Vitamin deficiency
Womens health
Young adults
title Can a questionnaire predict vitamin D status in postmenopausal women?
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