Prediction models and questionnaires developed to predict vitamin D status in adults: a systematic review

Naureen, G; Sanders, K M; Busija, L; Scott, David; Lim, Karen; Talevski, J; Connaughton, C; Brennan-Olsen, Sharon

File(s) under permanent embargo

Prediction models and questionnaires developed to predict vitamin D status in adults: a systematic review

Version 2 2024-06-05, 09:53

Version 1 2020-07-22, 10:11

journal contribution

posted on 2020-01-01, 00:00 authored by G Naureen, K M Sanders, L Busija, David ScottDavid Scott, Karen LimKaren Lim, J Talevski, C Connaughton, Sharon Brennan-Olsen

Prediction models and questionnaires developed to predict vitamin D status in adults: a systematic review

History

Journal

Osteoporosis International

Volume

31

Pagination

2287 - 2302

Publisher

Springer

Location

London, England

Publisher DOI

https://doi.org/10.1007/s00198-020-05539-1

ISSN

0937-941X

eISSN

1433-2965

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000555008800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Usage metrics

Keywords

Science & Technology Life Sciences & Biomedicine Endocrinology & Metabolism Adults Prediction Questionnaire Screening Vitamin D D-DEFICIENCY PREVALENCE HEALTH INSUFFICIENCY POPULATIONS AUSTRALIA SUNLIGHT TIME

Licence

Exports

RefWorks

BibTeX

Ref. manager

Endnote

DataCite

NLM

DC

File(s) under permanent embargo

Prediction models and questionnaires developed to predict vitamin D status in adults: a systematic review

History

Journal

Volume

Pagination

Publisher

Location

Publisher DOI

ISSN

eISSN

Language

Author URL

Publication classification

Usage metrics

Categories

Keywords

Licence

Exports