Validation of the osteoporosis self-assessment tool in US male veterans. J Clin Densitom 2014;17(1):32-7
Date
03/16/2013Pubmed ID
23489972DOI
10.1016/j.jocd.2013.02.004Scopus ID
2-s2.0-84894972557 (requires institutional sign-in at Scopus site) 17 CitationsAbstract
The osteoporosis self-assessment tool (OST) is a screening instrument that uses age and weight as parameters to predict the risk of osteoporosis. This study was designed to evaluate OST in predicting osteoporosis in males. Male veterans aged 50yr and older with no prior diagnosis of osteoporosis and no prior bone densitometry (dual-energy X-ray absorptiometry [DXA]) testing were eligible for the study. Sociodemographic information, medical history, and risk factors for osteoporosis were recorded. Anthropometric measurements were taken and DXA testing performed. The OST index for each subject was calculated and predictive values and receiver operating characteristic (ROC) curves were evaluated for OST and osteoporosis. Five hundred eighteen subjects underwent DXA, 92 (17.8%) had osteoporosis, 281 (54.2%) had low bone mass, and 145 (28.0%) had normal bone mineral density. The OST index ranged from -8 to 23 with a mean of 4 (standard deviation ± 4.3). An OST index of 6 or lower predicted osteoporosis with a sensitivity of 82.6%, specificity of 33.6%, and an area under the curve for the ROC curve of 0.67. OST index performed better in non-Hispanic whites and males >65 yr. OST predicts osteoporosis with moderate sensitivity and poor specificity in men.
Author List
Steuart Richards J, Lazzari AA, Teves Qualler DA, Desale S, Howard R, Kerr GSAuthor
Denise Teves Qualler MD Associate Professor in the Medicine department at Medical College of WisconsinMESH terms used to index this publication - Major topics in bold
Absorptiometry, PhotonAged
Bone Density
Cohort Studies
Humans
Male
Middle Aged
Osteoporosis
Predictive Value of Tests
ROC Curve
Risk Assessment
Risk Factors
Self-Assessment
United States
Veterans
