Simple Self-Assessment Tool to Predict Osteoporosis in Taiwanese Men

Dung Huan Liu, Chung Yuan Hsu, Pei Ching Wu, Ying Chou Chen, You Yin Chen, Jia Feng Chen, Shan Fu Yu, Tien Tsai Cheng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Background: Although the self-assessment tools for predicting osteoporosis are convenient for clinicians, they are not commonly used among men. We developed the Male Osteoporosis Self-Assessment Tool for Taiwan (MOSTAi) to identify the patients at risk of osteoporosis. Methods: All the participants completed a questionnaire on the clinical risk factors for the fracture risk assessment tool. The risk index was calculated by the multivariate regression model through the item reduction method. The receiver operating characteristic (ROC) curve was used to analyze its sensitivity and specificity, and MOSTAi was developed and validated. Results: A total of 2,290 men participated in the bone mineral density (BMD) survey. We chose a model that considered two variables (age and weight). The area under the curve (AUC) of the model was 0.700. The formula for the MOSTAi index is as follows: 0.3 × (weight in kilograms) – 0.1 × (years). We chose 11 as the appropriate cut-off value for the MOSTAi index to identify the subjects at the risk of osteoporosis. Conclusions: The MOSTAi is a simple, intuitive, and country-specific tool that can predict the risk of osteoporosis in Taiwanese men. Due to different demographic characteristics, each region of the world can develop its own model to identify patients with osteoporosis more effectively.

Original languageEnglish
Article number713535
JournalFrontiers in Medicine
StatePublished - 16 Nov 2021


  • fracture
  • men
  • osteoporosis
  • self-assessment tool
  • Taiwan


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