Predictive Factors and Screening Implications for Osteopenia and Osteoporosis among Postmenopausal and Older Women
Keywords:
Osteopenia, Osteoporosis, OSTA, Postmenopausal women, Predictive factorsAbstract
This study was a cross-sectional descriptive study. The objective was to identify predictive factors and evaluate the diagnostic accuracy of the OSTA index for screening osteopenia and osteoporosis among postmenopausal and older community-dwelling women. Data were collected from postmenopausal women aged 40-60 years and elderly women aged 60 years and above who underwent bone mass examination at Suranaree University of Technology Hospital from January 1, 2024 to May 31, 2025. General data, risk factors, and radiological examination results were collected. The data were analyzed using descriptive statistics including percentage, mean + standard deviation and percentage.
The research results found that there were 86 postmenopausal and elderly women, mean age 56.65 ± 4.87 years, body mass index 25.71 ± 4.41 kg/m2, thin bones 48.84%, osteoporosis 9.30%. The results of the risk assessment for osteoporosis and osteoporosis using the OSTA index screening assessment in postmenopausal and elderly women. In people with osteoporosis, the assessment in the low-risk group was 80.95% and in the intermediate-risk group was 19.05%. While osteoporosis was assessed in 50% low risk and 50% intermediate risk groups, a disease prediction model for the detection of osteoporosis in postmenopausal women and elderly in the community. The OSTA index demonstrated sensitivity = 85.0%, specificity = 77.3%, and AUC = 0.86 (95% CI: 0.77–0.94). In conclusion, The OSTA index is a practical, cost-effective screening tool for early identification of osteopenia and osteoporosis among postmenopausal and elderly Thai women. Incorporating clinical predictors such as age, BMI, menopausal duration, and prior fractures may further enhance diagnostic precision and support community-level prevention strategies aligned with SDG 3 and SDG 10.
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