This cross-sectional, observational study was designed to identify clinical risk factors of osteoporosis and fractures in Korean women to validate the probability of osteoporosis and subsequent fractures. A total of 1541 Korean women were recruited nationally. Fracture history of any site, risk factors of osteoporosis, and fall-related risk factors were surveyed and physical performance tests were conducted. Peripheral dual-energy X-ray absorptiometry was used to measure calcaneus bone mineral density (BMD). The number of positive responses on the modified 1-min osteoporosis risk test was related to the risk of osteoporosis. The frequency of osteoporosis was higher in those with a height reduction of >4 cm and a reduced body mass index (BMI). Multivariate analysis showed that older age and lower BMI were related to higher relative risk of osteoporosis. Time required to stand up from a chair and questions related to fall injury were significantly related to clinical fracture history of any site. Multivariate analysis showed that the relative risk of fractures at any site was higher in older subjects with a lower T-score and parental hip fracture history. This study shows that age and BMI are the most significant clinical risk factors for osteoporosis and that age, BMD, and parental history of hip fracture are highly applicable risk factors for validating the probability of osteoporotic fractures in Korean women.
Bibliographical noteFunding Information:
The authors thank the co-investigators and those who participated voluntarily in the free osteoporosis examination campaign. The co-investigators were: Hye Jung Kim, M.D., Wonkwang University Hospital; Yeun Sun Kim, M.D., Gachon University Gil Medical Center; Soon Hee Lee, M.D., Inje University Pusan Paik Hospital; Ji Hyun Park, M.D., Chonbuk National University Hospital; Yumie Rhee, M.D., Yonsei University College of Medicine; and Young Jun Won, M.D., Kwandong University Myongji Hospital. This study was supported by sanofi-aventis Korea Co., Ltd. All authors had access to all of the data used in this analysis.
All Science Journal Classification (ASJC) codes
- Endocrinology, Diabetes and Metabolism
- Orthopedics and Sports Medicine