Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Nov 16:8:713535.
doi: 10.3389/fmed.2021.713535. eCollection 2021.

Simple Self-Assessment Tool to Predict Osteoporosis in Taiwanese Men

Dung-Huan Liu  1   2   3 , Chung-Yuan Hsu  4 , Pei-Ching Wu  2   5 , Ying-Chou Chen  4 , You-Yin Chen  6   7 , Jia-Feng Chen  4 , Shan-Fu Yu  4 , Tien-Tsai Cheng  4
Affiliations

Simple Self-Assessment Tool to Predict Osteoporosis in Taiwanese Men

Dung-Huan Liu et al. Front Med (Lausanne). .

Abstract

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.

Keywords: Taiwan; fracture; men; osteoporosis; self-assessment tool.

PubMed Disclaimer

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Inclusion of the participants in the study. *Participants whose BMD was missing at any one site for any reasons were excluded. #Participants with extreme values (deviating from the mean by more than three times the standard deviation), including demographics and BMD were excluded for data analysis.
Figure 2
Figure 2
The receiver operating characteristic (ROC) curve of the developmental cohort (left side). The ROC curves for predicting osteoporosis by MOSTAi, OSTA, and NOF 2013 (right side). OSTA, osteoporosis self-assessment tool; NOF 2013, National osteoporosis foundation recommendations in 2013; MOSTAi, modified male osteoporosis self-assessment tool for Taiwan.
Figure 3
Figure 3
The MOSTAi values vs. lowest T-scores at any site for the development sample.
See this image and copyright information in PMC

References

    1. Hannan MT, Felson DT, Dawson-Hughes B, Tucker KL, Cupples LA, Wilson PW, et al. Risk factors for longitudinal bone loss in elderly men and women: the Framingham Osteoporosis Study. J Bone Miner Res. (2000) 15:710–20. 10.1359/jbmr.2000.15.4.710 - DOI - PubMed
    1. Chen FP, Huang TS, Fu TS, Sun CC, Chao AS, Tsai TL. Secular trends in incidence of osteoporosis in Taiwan: a nationwide population-based study. Biomed J. (2018) 41:314–20. 10.1016/j.bj.2018.08.001 - DOI - PMC - PubMed
    1. Mithal A, Bansal B, Kyer CS, Ebeling P. The Asia-pacific regional audit-epidemiology, costs, and burden of osteoporosis in India 2013: a report of International Osteoporosis Foundation. Indian J Endocrinol Metab. (2014) 18:449–54. 10.4103/2230-8210.137485 - DOI - PMC - PubMed
    1. Kanis JA, Oden A, McCloskey EV, Johansson H, Wahl DA, Cooper C, et al. A systematic review of hip fracture incidence and probability of fracture worldwide. Osteoporos Int. (2012) 23:2239–56. 10.1007/s00198-012-1964-3 - DOI - PMC - PubMed
    1. Wang C-B, Lin C-FJ, Liang W-M, Cheng C-F, Chang Y-J, Wu H-C, et al. Excess mortality after hip fracture among the elderly in Taiwan: a nationwide population-based cohort study. Bone. (2013) 56:147–53. 10.1016/j.bone.2013.05.015 - DOI - PubMed

LinkOut - more resources