EP21 An observational study of the predictors of osteoporosis in men

Abstract

Abstract Background Osteoporosis is under-recognised and under-treated in men. Previous studies and stratification tools have been limited in their generalisability and while predictors of poor bone density in men have been characterised, evidence has been contradictory. The purpose of this study is to investigate these predictors in the lumbar spine and femoral neck in men. Methods Data were collected from 3,901 men referred for DEXA scanning to the Royal Lancaster Infirmary, between 2004 and 2010. BMD was measured in the lumbar spine and femoral neck. Simple and multiple regression models were fitted to each measurement site, using each of the known predictors for poor bone health. The Variance Inflation Factor was used to quantify the severity of multicollinearity and the Akaike Information Criterion was employed to select co-variates. Results The following predictors had a significant effect in both measurement sites: age; height; weight; Body Mass Index (BMI); X-ray evidence of osteopenia; and previous fracture(s). Body fat percentage had a significant effect at the lumbar spine only, and tobacco use had a significant effect at the femoral neck only. The adjusted R squared values for the models ranged from 0.16 for the lumbar spine model, to 0.28 for the femoral neck model. Conclusion This study demonstrated that further work is needed in assessing the predictors of OP in men. This would open up an interesting observation in clinical practice and provide an opportunity for risk prediction and primary prevention of OP in men, reducing fracture risk. Future studies should include randomised samples and propensity score matching. Disclosures N. Kyrtata None. K. Davies None. A. Nune None. M. Bukhari None.