{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:43:22Z","timestamp":1760240602793,"version":"build-2065373602"},"reference-count":72,"publisher":"MDPI AG","issue":"16","license":[{"start":{"date-parts":[[2019,8,17]],"date-time":"2019-08-17T00:00:00Z","timestamp":1566000000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJERPH"],"abstract":"<jats:p>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 model using linear regression to predict obesity in adolescents and compare it with commonly used anthropometric methods. To improve the performance of our model, we estimated the percentage of fat and then classified the nutritional status of these adolescents. Methods: The model was developed using easily measurable socio-demographic and clinical variables from a database of 772 adolescents of both genders, aged 10\u201319 years. The predictive performance was evaluated by the following metrics: accuracy, sensitivity, specificity, and area under ROC curve. The performance of the method was compared to the anthropometric parameters: body mass index and waist-to-height ratio. Results: Our model showed a high correlation (R = 0.80) with the body fat percentage value obtained through bioimpedance. In addition, regarding discrimination, our model obtained better results compared to BMI and WHtR: AUROC = 0.80, 0.64, and 0.55, respectively. It also presented a high sensitivity of 92% and low false negative rate (6%), while BMI and WHtR showed low sensitivity (27% and 9.9%) and a high false negative rate (65% and 53%), respectively. Conclusions: The computational model of this study obtained a better performance in the evaluation of excess body fat in adolescents, compared to the usual anthropometric indicators presenting itself as a low cost alternative for screening obesity in adolescents living in Brazilian regions where financial resources are scarce.<\/jats:p>","DOI":"10.3390\/ijerph16162962","type":"journal-article","created":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T06:10:14Z","timestamp":1566195014000},"page":"2962","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Development of a Computational Model to Predict Excess Body Fat in Adolescents through Low Cost Variables"],"prefix":"10.3390","volume":"16","author":[{"given":"Carlos Magno","family":"Sousa","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, Biological Information Processing Lab, Federal University of Maranh\u00e3o, S\u00e3o Luis 65085680, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ewaldo","family":"Santana","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Biological Information Processing Lab, Federal University of Maranh\u00e3o, S\u00e3o Luis 65085680, MA, Brazil"},{"name":"Laboratory of Signals Acquisition and Processing, LAPS, State University of Maranh\u00e3o, Campus Paulo VI, S\u00e3o Lu\u00eds 65700000, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3195-0570","authenticated-orcid":false,"given":"Marcus Vinicius","family":"Lopes","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Biological Information Processing Lab, Federal University of Maranh\u00e3o, S\u00e3o Luis 65085680, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guilherme","family":"Lima","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Biological Information Processing Lab, Federal University of Maranh\u00e3o, S\u00e3o Luis 65085680, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luana","family":"Azoubel","sequence":"additional","affiliation":[{"name":"Centro de Preven\u00e7\u00e3o de Doen\u00e7as Renais, University Hospital of Maranh\u00e3o, S\u00e3o Lu\u00eds 65080805, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5785-2114","authenticated-orcid":false,"given":"\u00c9rika","family":"Carneiro","sequence":"additional","affiliation":[{"name":"Centro de Preven\u00e7\u00e3o de Doen\u00e7as Renais, University Hospital of Maranh\u00e3o, S\u00e3o Lu\u00eds 65080805, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1654-0955","authenticated-orcid":false,"given":"Allan Kardec","family":"Barros","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Biological Information Processing Lab, Federal University of Maranh\u00e3o, S\u00e3o Luis 65085680, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0702-6783","authenticated-orcid":false,"given":"Nilviane","family":"Pires","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering, Biological Information Processing Lab, Federal University of Maranh\u00e3o, S\u00e3o Luis 65085680, MA, Brazil"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,8,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s12889-015-1442-x","article-title":"The study of cardiovascular risk in adolescents\u2014ERICA: Rationale, design and sample characteristics of a national survey examining cardiovascular risk factor profile in Brazilian adolescents","volume":"15","author":"Katia","year":"2015","journal-title":"BMC Public Health"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1038\/nature25770","article-title":"Importance of investing in adolescence from a developmental science perspective","volume":"554","author":"Dahl","year":"2018","journal-title":"Nature"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Hagani, N., Moran, M.R., Caspi, O., Plaut, P., and Endevelt, R. 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