{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T15:26:41Z","timestamp":1789140401277,"version":"build-2803163510"},"reference-count":49,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T00:00:00Z","timestamp":1727395200000},"content-version":"unspecified","delay-in-days":270,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["Public Health Nutr."],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:title>Abstract<\/jats:title>\n\t  <jats:sec id=\"S1368980024001708_as1\">\n\t    <jats:title>Objective:<\/jats:title>\n\t    <jats:p>Vitamin D deficiency (VDD) is common among young women and causes various health problems, including those that occur during pregnancy and childbirth. Thus, we investigated the risk factors for VDD in young Japanese women and developed a simple risk scoring system called Vitamin D Deficiency Predicting Scoring (ViDDPreS).<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1368980024001708_as2\">\n\t    <jats:title>Design:<\/jats:title>\n\t    <jats:p>A cross-sectional study, using the following factors for multivariate logistic regression analysis to create the ViDDPreS score: residential area, season, cumulative ambient ultraviolet-B irradiation, BMI, vitamin D supplement use, sun exposure habits, frequency of habitual food intake and eating habits. The subjects were randomly divided into development and test sets for analysis. Serum 25-hydroxivitamin D concentration of less than 20 ng\/ml was defined as VDD.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1368980024001708_as3\">\n\t    <jats:title>Setting:<\/jats:title>\n\t    <jats:p>Four regions (Hokkaido\/Tohoku, Kanto, Chubu\/Kinki\/Shikoku and Kyushu\/Okinawa) in Japan.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1368980024001708_as4\">\n\t    <jats:title>Participants:<\/jats:title>\n\t    <jats:p>Five hundred and eighty-three healthy women aged 18\u201340 years.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1368980024001708_as5\">\n\t    <jats:title>Results:<\/jats:title>\n\t    <jats:p>In the development set, the VDD group (68\u00b74 %) had higher proportions of the following variables than the non-VDD group: residential area outside the Kanto region; blood samples obtained in winter; low BMI (&lt;18\u00b75 kg\/m<jats:sup>2<\/jats:sup>); vitamin D supplement non-users; short time regularly spent outside on weekdays; intake of fish, vitamin D-abundant fish, dried fish and redfish less than once a week. VDD risk was classified as low, medium or high according to the ViDDPreS scores including these contributing factors, with a test set C-index of 0\u00b7671.<\/jats:p>\n\t  <\/jats:sec>\n\t  <jats:sec id=\"S1368980024001708_as6\">\n\t    <jats:title>Conclusion:<\/jats:title>\n\t    <jats:p>We identified the risk factors for VDD in young Japanese women and developed a simple risk scoring system that enables us to assess VDD risk and aid in the development of appropriate prevention and treatment strategies for this population.<\/jats:p>\n\t  <\/jats:sec>","DOI":"10.1017\/s1368980024001708","type":"journal-article","created":{"date-parts":[[2024,9,27]],"date-time":"2024-09-27T03:49:43Z","timestamp":1727408983000},"update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":5,"title":["Development of a predictive scoring system for vitamin D deficiency \u2018Vitamin D Deficiency Predicting Scoring (ViDDPreS)\u2019 based on the vitamin D status in young Japanese women: a nationwide cross-sectional study"],"prefix":"10.1017","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7983-554X","authenticated-orcid":false,"given":"Akiko","family":"Kuwabara","sequence":"first","affiliation":[{"name":"Osaka Metropolitan University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eiji","family":"Nakatani","sequence":"additional","affiliation":[{"name":"Shizuoka Graduate University of Public Health"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hideaki","family":"Nakajima","sequence":"additional","affiliation":[{"name":"National Institute for Environmental Studies"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Satoshi","family":"Sasaki","sequence":"additional","affiliation":[{"name":"The University of Tokyo"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenichi","family":"Kohno","sequence":"additional","affiliation":[{"name":"Kyoto University 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