Objectives: The main aim of this study was to assess the low bone mass in younger adults using peripheral dual X-ray absorptiometry (pDXA) and also to find the co-relational aspect of Indian, Nepal-Bhutan, and Afghanistan men.Methods: In this study, 70 younger adults aged from 18 to 25 years were incorporated. In every adult, bone mineral density (BMD) of the left forearm (LF-BMD), right forearm (RF-BMD), left calcaneum (LC-BMD), and right calcaneum (RC-BMD) were measured by pDXA. The back-propagation neural network classifier is used in the classification of low bone mass and healthy controls, and the statistical tool was used to find the co-relational aspect of various BMD measurements.Results: The LC-BMD positively correlated (p<0.05) with subject’s body weight and body mass index (BMI) r=0.40 in Indian men. The LC-BMD and RC-BMD were positively correlated (p<0.05 and p<0.01) with BMI (r=0.549 and r=0.63) in Nepal-Bhutan men. In Afghanistan men, LF-BMD and RF-BMD are positively correlated (p<0.05 and p<0.01) with BMI (r=0.49 and r=0.80). The accuracy of the classifier was found to be 94.3% and 97.1% with RF-BMD and RC-BMD in the total population.Conclusion: The result suggested that the forearm and calcaneum BMD measured by pDXA shows statistically high significant correlation with BMI, which can be used for screening purpose, and also it will be helpful in the evaluation of low bone mass in the developing countries.