<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Guedjati Mohamed Ridha</style></author><author><style face="normal" font="default" size="100%">Khaoula Lachekhab</style></author><author><style face="normal" font="default" size="100%">Adjali, Abdelaziz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Relationship Between Body Composition and Body Mass Index in Obese Women</style></title><secondary-title><style face="normal" font="default" size="100%">Acta Scientific Orthopaedics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">02 2022</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://staff.univ-batna2.dz/sites/default/files/guedjati_mohamedridha/files/asor-05-0430_final.pdf</style></url></web-urls></urls><number><style face="normal" font="default" size="100%">3</style></number><volume><style face="normal" font="default" size="100%">5</style></volume><pages><style face="normal" font="default" size="100%">57-66</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p style=&quot;text-align: justify;&quot;&gt;
	Objective: The aim of our work is to study the links between anthropometric parameters and body composition obtained by bioelectric impedancemetry in case of obese women of peri- menopausal age. Method and Materials: 154 obese women were classified according to their degree of obesity according to WHO criteria. The analysis of body composition was performed by impedancemetry. Pearson’s (r) and Spearman’s (r2 ) correlations were calculated to check the relationships between age, weight, BMI, as well as total and segmental body fat composition. Results: 154 women of mean age 40.20 ± 13.13 years, obese, mean BMI 38.66 ± 6.56 Kg/m2 participated in our study. Impedance reduced an average total fat mass% (TFM%) of 45.39 ± 5.67%. BMI is strongly correlated with TFM% (r = 0.73; r2 = 0.82; p ≥ 0.05). For obesity stages 1-2, weight is correlated with BMI (r-r2 &amp;gt; 0.40; p ≤ 0.001). Likewise, a strong correlation exists between weight and TFM in Kg (r2 = 0.82; p ≥ 0.05). For a BMI ≥ 35 Kg/m2 , weight is inversely correlated with age [r2 ≥ (-0.36); p ≤ 0.003]. The FM of the trunk (Kg) is correlated with the weight for obesity grade 3 (r = 0.49; p = 0.0002) and whatever the stage of obesity at the BMI (r ≥ 0.32; p ≤ 0.02). Conclusion: The use of bioelectrical impedancemetry in the diagnostic management of obese people is quite useful. This tool gives us better information on the location and distribution of fatty tissue.
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