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Prédiction de la masse grasse totale et du pourcentage de graisse chez les hommes adultes: étude comparative avec les modèles prédictifs élaborés en épidémiologie

Abstract : The main objective of this study is to use and validate on our sample,the predictive equations of fat mass and fat percentage developed in epidemiological studies. Predictive equations of fat mass are obtained from age and anthropometric measurements: weight, height, waist circumference and BMI.The sample consists of 120 adult males aged 18-82 years in whichtotal fat mass is obtained by DXA. Significant differences in mean fat mass and average fat percentage are observed between our predictive model and those developed epidemiologically. However, since the estimated fat mass variances are not significant, we introduced a corrective term taking into account the differences in software and scan speed between DXA devices. There are then strong correlations (r>0,98) between the observed predictive values between the models from the epidemiological studies and our model.In addition, the individual fat mass differences are equivalent. However, a predictive model developed on a smaller size is not applicable to our sample as it induces a significant overestimation of mean values and standard deviationswhich significantly increases individual fat mass differences.In conclusion, this study shows that the use of predictive equations of fat mass and fat percentage based on epidemiological anthropometric measurements is quite applicable to different samples for which the same anthropometric measurements have been identified
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https://hal-cnrs.archives-ouvertes.fr/hal-02995449
Contributor : Jean-Claude Pineau <>
Submitted on : Monday, November 9, 2020 - 10:43:26 AM
Last modification on : Tuesday, November 17, 2020 - 3:29:22 AM

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Jean-Claude Pineau. Prédiction de la masse grasse totale et du pourcentage de graisse chez les hommes adultes: étude comparative avec les modèles prédictifs élaborés en épidémiologie. Antropo, Universidad del País Vasco (Bilbao), 2020, 43. ⟨hal-02995449⟩

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