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<article xlink="http://www.w3.org/1999/xlink" dtd-version="1.0" article-type="healthcare" lang="en"><front><journal-meta><journal-id journal-id-type="publisher">IJCRR</journal-id><journal-id journal-id-type="nlm-ta">I Journ Cur Res Re</journal-id><journal-title-group><journal-title>International Journal of Current Research and Review</journal-title><abbrev-journal-title abbrev-type="pubmed">I Journ Cur Res Re</abbrev-journal-title></journal-title-group><issn pub-type="ppub">2231-2196</issn><issn pub-type="opub">0975-5241</issn><publisher><publisher-name>Radiance Research Academy</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">3667</article-id><article-id pub-id-type="doi"/><article-id pub-id-type="doi-url"> http://dx.doi.org/10.31782/IJCRR.2021.13826</article-id><article-categories><subj-group subj-group-type="heading"><subject>Healthcare</subject></subj-group></article-categories><title-group><article-title>Co-relation between Hip Axis Length and Femoral Neck-Shaft Angle with Body Mass Index of Indian Population: A Radiological Study&#13;
</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Nayak</surname><given-names>Lopamudra</given-names></name></contrib><contrib contrib-type="author"><name><surname>Baisakh</surname><given-names>Pratima</given-names></name></contrib><contrib contrib-type="author"><name><surname>Panda</surname><given-names>Sitansu Kumar</given-names></name></contrib><contrib contrib-type="author"><name><surname>Chinara</surname><given-names>Prafulla Kumar</given-names></name></contrib></contrib-group><pub-date pub-type="ppub"><day>25</day><month>04</month><year>2021</year></pub-date><volume>)</volume><issue/><fpage>115</fpage><lpage>119</lpage><permissions><copyright-statement>This article is copyright of Popeye Publishing, 2009</copyright-statement><copyright-year>2009</copyright-year><license license-type="open-access" href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0) Licence. You may share and adapt the material, but must give appropriate credit to the source, provide a link to the licence, and indicate if changes were made.</license-p></license></permissions><abstract><p>Introduction: Proximal femoral geometry plays an important role in the prediction of hip fractures as it provides mechanical strength to the femur. Objective: To find out the relationship between body mass index (BMI) and femoral morphometry in the study population. Methods: This is an observational cross-sectional study in 168 patients where parameters such as hip axis length(HAL) and femoral neck-shaft angle(FNSA) were measured by using a dual-energy X-ray absorptiometry scan. BMI was calculated by taking the weight and height of the patients. The relationship of proximal femoral morphometry with different groups of BMI (Normal, Pre-obese and Obese group)has been studied by using the Karl Pearson correlation coefficient (r). Results: The mean age, height, weight, HAL, FNSA, and BMI of the study population were found to be 58.72 years, 160.15 cm, 64.38 kg, 104.14 mm, 128.51__ampersandsigndeg;, and 26.89 kg/mt2 respectively. In the normal group, the BMI has a low level of positive correlation with HAL (r=0.484) and a moderate level of correlation with FNSA (r=0.413). In the pre-obese group, the BMI has a low level of positive correlation with HAL and FNSA (r=0.404 __ampersandsignamp; 0.473 respectively). In the obese group, BMI has a moderate level of positive correlation with HAL and FNSA (r=0.501 __ampersandsignamp; 0.507 respectively). Conclusion: The present study established a positive correlation between proximal femoral morphometry and BMI.&#13;
</p></abstract><kwd-group><kwd>Proximal femur morphometry</kwd><kwd> Hip axis length</kwd><kwd> Femoral neck-shaft angle</kwd><kwd> Body mass index</kwd></kwd-group></article-meta></front></article>
