Estimation of low bone mass using forearm and calcaneum bone mineral density in young Indian population

“Osteoporosis” is the state of an individual having low bone mineral density (BMD) and in this way it get to be distinctly weaker and inclined to break with no significant injury. In India, many individuals are experiencing this condition. Aim and objectives: The Main aim of this study to predict the future low bone mass in younger adults using Peripheral dual x-ray absorptiometry and also to find the co-relational aspect of both genders with forearm and calcaneum bone mineral density measurements. Materials and methods: In this study 72, younger adults aged ranged from 18–25 years were incorporated. A grown-up matured over 25 years were avoided. In every subject, BMD of Forearm and calcaneum were measured by (pDXA). The back propagation neural network classifier is used in the diagnosing of low bone mass and Statistical tool was used to find the co-relational aspect of various BMD measurements. Results: The both calcaneum BMD were strongly correlated (p<0.05) with weight and body mass index of men, whereas in women group the left calcaneum BMD was correlated with body height at the level of p<0.05. The accuracy of the classifier was found to be 88.3 % and 97.6% with left forearm and right calcaneum BMD in both genders. Conclusion: The result suggest calcaneum BMD measured by pDXA shows statistically high significant correlation with demographic features of both genders and it will help in the evaluation of low bone mass.