2019
DOI: 10.3390/ijerph16162962
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Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables

Abstract: Background: Excess body fat has been growing alarmingly among adolescents, especially in low income and middle income countries where access to health services is scarce. Currently, the main method for assessing overweight in adolescents is the body mass index, but its use is criticized for its low sensitivity and high specificity, which may lead to a late diagnosis of comorbidities associated with excess body fat, such as cardiovascular diseases. Thus, the aim of this study was to develop a computational mode… Show more

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Cited by 3 publications
(1 citation statement)
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“…Several authors have developed formulas for the estimation of BF% composed of a large number of variables. However, the results obtained do not improve on those achieved by simpler models, such as ECORE-BF [30]. Therefore, making the equations more complex does not guarantee greater precision in the estimation.…”
Section: Discussioncontrasting
confidence: 57%
“…Several authors have developed formulas for the estimation of BF% composed of a large number of variables. However, the results obtained do not improve on those achieved by simpler models, such as ECORE-BF [30]. Therefore, making the equations more complex does not guarantee greater precision in the estimation.…”
Section: Discussioncontrasting
confidence: 57%