Back to Search
Start Over
Predicting vitamin D deficiency in older Australian adults.
- Source :
-
Clinical endocrinology [Clin Endocrinol (Oxf)] 2013 Nov; Vol. 79 (5), pp. 631-40. Date of Electronic Publication: 2013 Apr 13. - Publication Year :
- 2013
-
Abstract
- Objective: There has been a dramatic increase in vitamin D testing in Australia in recent years, prompting calls for targeted testing. We sought to develop a model to identify people most at risk of vitamin D deficiency.<br />Design and Participants: This is a cross-sectional study of 644 60- to 84-year-old participants, 95% of whom were Caucasian, who took part in a pilot randomized controlled trial of vitamin D supplementation.<br />Measurements: Baseline 25(OH)D was measured using the Diasorin Liaison platform. Vitamin D insufficiency and deficiency were defined using 50 and 25 nmol/l as cut-points, respectively. A questionnaire was used to obtain information on demographic characteristics and lifestyle factors. We used multivariate logistic regression to predict low vitamin D and calculated the net benefit of using the model compared with 'test-all' and 'test-none' strategies.<br />Results: The mean serum 25(OH)D was 42 (SD 14) nmol/1. Seventy-five per cent of participants were vitamin D insufficient and 10% deficient. Serum 25(OH)D was positively correlated with time outdoors, physical activity, vitamin D intake and ambient UVR, and inversely correlated with age, BMI and poor self-reported health status. These predictors explained approximately 21% of the variance in serum 25(OH)D. The area under the ROC curve predicting vitamin D deficiency was 0·82. Net benefit for the prediction model was higher than that for the 'test-all' strategy at all probability thresholds and higher than the 'test-none' strategy for probabilities up to 60%.<br />Conclusion: Our model could predict vitamin D deficiency with reasonable accuracy, but it needs to be validated in other populations before being implemented.<br /> (© 2013 John Wiley & Sons Ltd.)
Details
- Language :
- English
- ISSN :
- 1365-2265
- Volume :
- 79
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Clinical endocrinology
- Publication Type :
- Academic Journal
- Accession number :
- 23550837
- Full Text :
- https://doi.org/10.1111/cen.12203