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Different reference BMDs affect the prevalence of osteoporosis

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Jung, Ki Jin; Chung, Chin Youb; Park, Moon Seok; Kwon, Soon-Sun; Moon, Sang Young; Lee, In Hyeok; Kim, Ka Hyun; Lee, Kyoung Min

Issue Date
Springer Verlag
Journal of Bone and Mineral Metabolism, Vol.34 No.3, pp.347-353
The T score represents the degree of deviation from the peak bone mineral density (BMD) (reference standard) in a population. Little has been investigated concerning the age at which the BMD reaches the peak value and how we should define the reference standard BMD in terms of age ranges. BMDs of 9,800 participants were analyzed from the Korean National Health and Nutrition Examination Survey database. Five reference standards were defined: (1) the reference standard of Japanese young adults provided by the dual-energy X-ray absorptiometry machine manufacturer, (2) peak BMD of the Korean population evaluated by statistical analysis (second-order polynomial regression models), (3) BMD of subjects aged 20-29 years, (4) BMD of subjects aged 20-39 years, and (5) BMD of subjects aged 30-39 years. T-scores from the five reference standards were calculated, and the prevalence of osteoporosis was evaluated and compared for males and females separately. The peak BMD in the polynomial regression model was achieved at 26 years in males and 36 years in females in the total hip, at 20 years in males and 27 years in females in the femoral neck, and at 20 years in males and 30 years in females in the lumbar spine. The prevalence of osteoporosis over the age of 50 years showed significant variation of up to two fold depending on the reference standards adopted. The age at which peak BMD was achieved was variable according to the gender and body sites. A consistent definition of peak BMD needs to be established in terms of age ranges because this could affect the prevalence of osteoporosis and healthcare policies.
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  • College of Medicine
  • Department of Medicine
Research Area Cerebral palsy, Medical image, Motion analysis, Pediatric orthopedic surgery, Statistics in orthopedic research


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