Journal article

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

G Naureen, KM Sanders, L Busija, D Scott, K Lim, J Talevski, C Connaughton, SL Brennan-Olsen

Osteoporosis International | SPRINGER LONDON LTD | Published : 2020

Abstract

A systematic review of prediction models/questionnaires developed to identify people with deficient/insufficient vitamin D status shows the potential of self-reported information to estimate vitamin D status. The objective is to identify and compare existing screening tools, developed to identify vitamin D deficiency or insufficiency in adults. A systematic search of literature was conducted using MEDLINE, Scopus, Web of Science and CINAHL databases. Risk of bias and applicability concerns were assessed by quality assessment of diagnostic accuracy studies (QUADAS-2). Data were extracted on socio-demographic, anthropometric, risk factors, serum 25 hydroxyvitamin D [25(OH)D] levels, statistica..

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Grants

Awarded by NHMRC RD Wright Biomedical Career Development Fellowship


Awarded by NHMRC


Funding Acknowledgements

This research was not supported by any funding from agencies in the public, commercial or not-for-profit sectors. DS is supported by an NHMRC RD Wright Biomedical Career Development Fellowship (GNT1123014) and an NHMRC Investigator Grant (GNT1174886). SLB-O is supported by a NHMRC Career Development (GNT1107510) and a University of Melbourne MDHS Faculty Research Fellowship (2020). GN is supported by an Educational Grant from Sanofi Australia.