Vol. 35 / No. 2 / Published : 1999-04
Original Article :
Early detection of osteoporosis among the pre and post menopause women in surabaya
The objective of this study was to find out available means to detect early decreasing bone mass which can also be used to determine the type of osteoporosis. By finding applicable means enabling to detect early process of bone loss as well as to determine the type of osteoporosis it would be possible to do early prevention of any side effects of osteoporosis. The population in this study was based on an observational study. The subjects of this study were healthy women not in pregnancy or lactation between age 20-79 years. The study conducted into two main phases: A. Preliminary study, aiming to find the normal level of bone mass, the pattern of bone loss, and the prevalence of osteoporosis among women between age 20 - 79 years. B. Final study, aiming to predict the process of bone loss and to determine the variation of primary osteoporosis among women between age 30 - 69 years. The statistical analysis used in this study was as follows. Inference analysis for the preliminary study, and t - test of means of hormonal and biochemical bone markers among the categorical group correlation analysis between bone mass and biochemical bone markers, and regression analysis to determine if bone turnover can be used as predictor of bone mass for the final study. The result of the preliminary study (A): the peak bone mass is attained in ages 30-34, the BMC is 2.88 gr and BMD is 0.49 gr/cm2. The average percentage of decreasing bone mass is 0.84% per year for BMD and 0.96% for BMC. This decreasing process accelerated during menopausal age respectively 1.4% per year for BMD and 1.25% per year for BMC. The prevalence of osteoporosis of this subject is 26%, and the result of the final study (B): there has been no significant difference between the age groups on hormone regulating calcium metabolism, whereas the bone markers osteocalcin and bone alkaline phospilatase have significant correlation with bone mass (Osteocalcin to BMD and BMC: r = - 0.3444 r = -0.3498; p = 0.001; Bone alkaline phosphatase to BMD and BMC: r=-0.3050 r=-0.3052 p=0.001). Based on regression analysis between the parameter of bone turnover and bone mass, it is proven that the biochemical bone markers osteocalcin, and bone alkaline phosphatase can be used as bone mass predictors.
Volume : 35 / No. : 2 / Pub. : 1999-04