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Neck circumference cutoff points to identify excess android fat()
OBJECTIVE: To evaluate the ability of neck circumference to identify excess android fat and to propose cutoff points for Brazilian children. METHOD: This was a cross-sectional study with 376 children aged 8 and 9 years enrolled in public and private schools in the urban area of the municipality of V...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432153/ https://www.ncbi.nlm.nih.gov/pubmed/30731052 http://dx.doi.org/10.1016/j.jped.2018.11.009 |
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author | Filgueiras, Mariana de Santis Albuquerque, Fernanda Martins de Castro, Ana Paula Pereira Rocha, Naruna Pereira Milagres, Luana Cupertino Novaes, Juliana Farias de |
author_facet | Filgueiras, Mariana de Santis Albuquerque, Fernanda Martins de Castro, Ana Paula Pereira Rocha, Naruna Pereira Milagres, Luana Cupertino Novaes, Juliana Farias de |
author_sort | Filgueiras, Mariana de Santis |
collection | PubMed |
description | OBJECTIVE: To evaluate the ability of neck circumference to identify excess android fat and to propose cutoff points for Brazilian children. METHOD: This was a cross-sectional study with 376 children aged 8 and 9 years enrolled in public and private schools in the urban area of the municipality of Viçosa, Minas Gerais. A semi-structured questionnaire containing sociodemographic and lifestyle information was applied. The following were collected: neck circumference, weight, and height for the calculation of body mass index. The percentage of fat in the android region was determined by dual energy X-ray absorptiometry. Linear regression analysis was used to evaluate the association between neck circumference and android fat, adopting a significance level of 5%. Receiver operating characteristic curves were used to evaluate the capacity of neck circumference to determine the excess android fat, as well as to estimate the cutoff points of neck circumference according to gender. RESULTS: Multiple linear regression showed an association between neck circumference and android fat (β: 2.94, 95% CI: 2.41, 3.47). Neck circumference was able to identify excess android fat in girls (AUC: 0.909, 95% CI: 0.999, 0.945) and boys (AUC: 0.938, 95% CI: 0.892, 0.968). The proposed cutoff points showed satisfactory sensitivity, specificity, and predictive values. CONCLUSIONS: Neck circumference is capable of identifying excess android fat in children and can be used in clinical practice and in population studies to determine central adiposity. The proposed cutoff points were satisfactory, but should be validated for other populations. |
format | Online Article Text |
id | pubmed-9432153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-94321532022-09-08 Neck circumference cutoff points to identify excess android fat() Filgueiras, Mariana de Santis Albuquerque, Fernanda Martins de Castro, Ana Paula Pereira Rocha, Naruna Pereira Milagres, Luana Cupertino Novaes, Juliana Farias de J Pediatr (Rio J) Original Article OBJECTIVE: To evaluate the ability of neck circumference to identify excess android fat and to propose cutoff points for Brazilian children. METHOD: This was a cross-sectional study with 376 children aged 8 and 9 years enrolled in public and private schools in the urban area of the municipality of Viçosa, Minas Gerais. A semi-structured questionnaire containing sociodemographic and lifestyle information was applied. The following were collected: neck circumference, weight, and height for the calculation of body mass index. The percentage of fat in the android region was determined by dual energy X-ray absorptiometry. Linear regression analysis was used to evaluate the association between neck circumference and android fat, adopting a significance level of 5%. Receiver operating characteristic curves were used to evaluate the capacity of neck circumference to determine the excess android fat, as well as to estimate the cutoff points of neck circumference according to gender. RESULTS: Multiple linear regression showed an association between neck circumference and android fat (β: 2.94, 95% CI: 2.41, 3.47). Neck circumference was able to identify excess android fat in girls (AUC: 0.909, 95% CI: 0.999, 0.945) and boys (AUC: 0.938, 95% CI: 0.892, 0.968). The proposed cutoff points showed satisfactory sensitivity, specificity, and predictive values. CONCLUSIONS: Neck circumference is capable of identifying excess android fat in children and can be used in clinical practice and in population studies to determine central adiposity. The proposed cutoff points were satisfactory, but should be validated for other populations. Elsevier 2019-02-04 /pmc/articles/PMC9432153/ /pubmed/30731052 http://dx.doi.org/10.1016/j.jped.2018.11.009 Text en © 2019 Sociedade Brasileira de Pediatria. Published by Elsevier Editora Ltda. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Article Filgueiras, Mariana de Santis Albuquerque, Fernanda Martins de Castro, Ana Paula Pereira Rocha, Naruna Pereira Milagres, Luana Cupertino Novaes, Juliana Farias de Neck circumference cutoff points to identify excess android fat() |
title | Neck circumference cutoff points to identify excess android fat() |
title_full | Neck circumference cutoff points to identify excess android fat() |
title_fullStr | Neck circumference cutoff points to identify excess android fat() |
title_full_unstemmed | Neck circumference cutoff points to identify excess android fat() |
title_short | Neck circumference cutoff points to identify excess android fat() |
title_sort | neck circumference cutoff points to identify excess android fat() |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9432153/ https://www.ncbi.nlm.nih.gov/pubmed/30731052 http://dx.doi.org/10.1016/j.jped.2018.11.009 |
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