@article{Deoda_Choudhary_Garhwal_2019, title={Assessment of Prevalence of Osteoporotic Fractures among Females of Known Population: A Observational Study}, volume={8}, url={https://aijournals.com/index.php/ajmr/article/view/790}, DOI={10.21276/ajmr.2019.8.2.OR3}, abstractNote={<p><strong>Background: </strong>Osteoporosis is the most common bone disease in humans, representing a major public health problem. Hence; we planned the present study to assess prevalence of osteoporotic fractures among females of known population. <strong>Subjects and Methods: </strong>A total of 50 females were included in the present study. Complete demographic of all the subjects was obtained.&nbsp; Detailed history of presence or absence of osteoporotic fractures was obtained. All the results were recorded in Microsoft excel sheet and were analysed by SPSS software. <strong>Results: </strong>The overall incidence of osteoporotic fractures in the present study was 36 percent. Significantly higher prevalence of osteoporotic fractures was seen with increasing age. <strong>Conclusion: </strong>Significantly high prevalence of osteoporotic fractures among elderly females is seen.</p&gt;}, number={2}, journal={Asian Journal of Medical Research}, author={Deoda, Yusuf Ali and Choudhary, Bimla and Garhwal, Prashant}, year={2019}, month={Jul.}, pages={OR09-OR11} }