Optimal Analysis to Discriminate Elderly Males’ Osteoporosis with Simple Physiological Indicators: A Cut-Off Point Study

[[abstract]]Males account for one third of global hip fracture patients, and their hip fracture-related mortality rate is higher than that of females. Scholars have primarily investigated self-evaluation indicators for elderly Caucasians and other ethnicities, and have rarely conducted large-scale cutoff point studies on Asian males. In this study, a large-scale database on bone mineral density (BMD) examinations was used to conduct a cutoff point study on males with osteoporosis. This study involved a retrospective research design. Males who accepted BMD examinations from 2009 to 2012 at a large teaching hospital in Taiwan were sampled in this study. This study used the database for analyzing effects with using osteoporosis self-assessment indicator, age, body weight, and body mass index (BMI) to discriminate osteoporosis in males, specifically focusing on accuracy, cutoff point, sensitivity, specificity, and positive and negative predictive values. Overall, receiver operating characteristic curve for the samples reached 70%. These cutoff points included: a body weight is less than 58.8 kg, BMI is 23 kg/m2, and the osteoporosis self-assessment score is −1.86, to identify osteoporosis. Involving body weight and BMI as optimal assessing indicators for assessing osteoporosis among males younger than 65 years, and the osteoporosis self-assessment tool was ideal for measuring males older than 65 years. Professional health staff should apply convenient, low-cost, and accurate evaluation tools that can assist Asian males in planning preventive osteoporosis strategies to avoid osteoporotic fractures and death