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

机译:年轻印度人群前臂和钙骨矿物密度估计低骨质

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“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.
机译:“骨质疏松症”是具有低骨矿物密度(BMD)的个体的状态,并以这种方式,它变得明显弱,并且倾向于不显着损伤。在印度,许多人正在经历这种情况。目的和目标:本研究的主要目的是使用外围双X射线吸收术来预测年轻成年人未来的低骨质肿块,也可以找到具有前臂和钙锥骨矿物密度测量的双重的合作方面。材料和方法:在本研究中,72,年龄较年轻的成年人从18-25岁开始。避免了25岁超过25年的成熟。在每个受试者中,通过(PDXA)测量前臂和钙醌的BMD。后传播神经网络分类器用于低骨质量和统计工具的诊断,用于找到各种BMD测量的共同关系方面。结果:钙那符BMD都强烈相关(p <; 0.05),男性体重和体重指数,而在妇女组中,左转位BMD与P <0.05水平的体积相关。分类器的准确性被发现为88.3 %和97.6 %,左前臂和两个是个体的右前臂和右步Callaneum BMD。结论:结果表明PDXA测量的Calcaneum BMD显示了与两种性别的人口统计特征有统计学高的关联,它将有助于评估低骨质量。

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