A Comparative Study on BMD of Lumbar Spine and Proximal Femur in Post-Menopausal Women Using Dual Energy X-ray Absorptiometry

이중에너지 X선 흡수계측법을 이용한 폐경기 여성의 요추 및 근위 대퇴부의 골밀도 비교 연구

  • Yoon, Han-Sik (Dept. of Radiotechnology, Wonkwang Health Science College) ;
  • Mo, Eun-Hee (Dept. of Diagnostic Radiology, Wonkwang University Hospital)
  • 윤한식 (원광보건대학 방사선과) ;
  • 모은희 (원광대학교 의과대학병원 진단방사선과)
  • Published : 1999.12.30

Abstract

Osteoporosis, which causes mainly fracture of the spine, proximal femur and distal radius by minimal trauma, is a major public health problem and its prevalence is steadily increasing in Korea according to the development of public health care. There are reliable methods for diagnosis based on bone densitometry. Early detection and intervention are important for reducing the incidence of fractures. A consensus definition of osteoporosis, based on bone density measurement, has been developed by the World Health Organization(WHO). In this study, bone mineral density(RMD) was measured by dual energy x-ray absorptiometry(DEXA) at the proximal femur and lumbar spine in 132 post-menopausal women. The purpose of this study is to find influential factors on the BMD of the proximal femur and the lumbar spine and to analyze correlation between BMD and the problematic factors. We obtained the following results : 1. Mean BMD score, T-score and Z-score of the proximal femur were $0.81(g/cm^2)$, -2.45(S.D.) and -2.09(S.D.) respectively and in the lumbar spine were $0.83(g/cm^2)$, -2.02(S.D.), -2.43(S.D.) respectively. 2. In correlation analysis between BMD and many factors, correlation coefficients were -0.467, 0.212, -0.321 and 0.241 in age, height, duration after menopause respectively. BMI and the residuals were comparatively small. 3. Correlation coefficients to age matched BMD, in height and body weight were 0.222 and 0.241, in age and duration after menopause were -0.268, -0.282. 4. The fracture threshold of proximal femur BMD to the 90th percentile was $0.845(g/cm^2)$. 5. At the result of multiple regression analysis, age, body weight, $BMI(kg/m^2)$ and duration after menopause described as significant variables.

Keywords