Publicação
Anthropometric predictors of body fat in a large population of 9-year-old school-aged children
| dc.contributor.author | Almeida, Sílvia M. | |
| dc.contributor.author | Furtado, José M. | |
| dc.contributor.author | Mascarenhas, Paulo | |
| dc.contributor.author | Ferraz, Maria E. | |
| dc.contributor.author | Silva, Luís R. | |
| dc.contributor.author | Ferreira, José C. | |
| dc.contributor.author | Monteiro, Mariana | |
| dc.contributor.author | Vilanova, Manuel | |
| dc.contributor.author | Ferraz, Fernando P. | |
| dc.date.accessioned | 2017-02-13T12:13:51Z | |
| dc.date.available | 2017-02-13T12:13:51Z | |
| dc.date.issued | 2016-09 | |
| dc.description.abstract | "Objective: To develop and cross-validate predictive models for percentage body fat (%BF) from anthropometric measurements [including BMI z-score (zBMI) and calf circumference (CC)] excluding skinfold thickness. | pt_PT |
| dc.description.abstract | Methods: A descriptive study was carried out in 3,084 pre-pubertal children. Regression models and neural network were developed with %BF measured by Bioelectrical Impedance Analysis (BIA) as the dependent variables and age, sex and anthropometric measurements as independent predictors. | pt_PT |
| dc.description.abstract | Results: All %BF grade predictive models presented a good global accuracy (≥91.3%) for obesity discrimination. Both overfat/obese and obese prediction models presented respectively good sensitivity (78.6% and 71.0%), specificity (98.0% and 99.2%) and reliability for positive or negative test results (≥82% and ≥96%). For boys, the order of parameters, by relative weight in the predictive model, was zBMI, height, waist-circumference-toheight- ratio (WHtR) squared variable (_Q), age, weight, CC_Q and hip circumference (HC)_Q (adjusted r2 = 0.847 and RMSE = 2.852); for girls it was zBMI, WHtR_Q, height, age, HC_Q and CC_Q (adjusted r2 = 0.872 and RMSE = 2.171). | pt_PT |
| dc.description.abstract | Conclusion: %BF can be graded and predicted with relative accuracy from anthropometric measurements excluding skinfold thickness. Fitness and cross-validation results showed that our multivariable regression model performed better in this population than did some previously published models." | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Almeida, S. M., Furtado, J. M., Mascarenhas, P., Ferraz, M. E., Silva, L. R., Ferreira, J. C., Monteiro, M., Vilanova, M., and Ferraz, F. P. (2016) Anthropometric predictors of body fat in a large population of 9-year-old school-aged children. Obesity Science & Practice, 2: 272–281. doi: 10.1002/osp4.51. | pt_PT |
| dc.identifier.doi | 10.1002/osp4.51 | pt_PT |
| dc.identifier.issn | 1932-6203 | |
| dc.identifier.uri | http://hdl.handle.net/10400.26/17931 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Wiley | pt_PT |
| dc.relation.publisherversion | http://onlinelibrary.wiley.com/doi/10.1002/osp4.51/abstract | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt_PT |
| dc.subject | Anthropometry | pt_PT |
| dc.subject | Body fat grade models | pt_PT |
| dc.subject | Prediction equations | pt_PT |
| dc.subject | Children | pt_PT |
| dc.title | Anthropometric predictors of body fat in a large population of 9-year-old school-aged children | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 281 | pt_PT |
| oaire.citation.startPage | 272 | pt_PT |
| oaire.citation.title | Obesity Science and Practice | pt_PT |
| oaire.citation.volume | 2(3) | pt_PT |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |