Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1002/ajhb.23778 http://hdl.handle.net/11449/240393 |
Resumo: | Objective: This study aimed to identify the clusters of obesogenic behaviors, and verify the association with metabolic risk according to the categories of somatic maturity status of adolescents. Methods: This is a cross-sectional study conducted with 1159 (55.1% girls) Brazilian adolescents aged between 10 and 16 years (mean age: 12.9 years). Measurements of waist circumference, blood pressure, blood glucose, HDL-C, and triglycerides were combined to calculate a metabolic risk score. Somatic maturity was assessed by estimating the peak of height velocity. The obesogenic behaviors analyzed were physical activity (Baecke questionnaire), sedentary behavior (screen-based behaviors) and dietary habits (consumption of healthy and unhealthy food). The Two Step clustering algorithm using the log-likelihood measure was employed to cluster formation and regression models were adopted to the main analysis. Results: We observed a complex co-existence of obesogenic behaviors. Differences regarding the metabolic risk between clusters was only observed among the early-maturing adolescents, where the cluster with higher number of healthy behaviors but lower physical activity presented higher metabolic risk score. Conclusions: We conclude that physical activity has an important role on the association of clusters of obesogenic behaviors and metabolic risk in early-maturing adolescents. |
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Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescentsObjective: This study aimed to identify the clusters of obesogenic behaviors, and verify the association with metabolic risk according to the categories of somatic maturity status of adolescents. Methods: This is a cross-sectional study conducted with 1159 (55.1% girls) Brazilian adolescents aged between 10 and 16 years (mean age: 12.9 years). Measurements of waist circumference, blood pressure, blood glucose, HDL-C, and triglycerides were combined to calculate a metabolic risk score. Somatic maturity was assessed by estimating the peak of height velocity. The obesogenic behaviors analyzed were physical activity (Baecke questionnaire), sedentary behavior (screen-based behaviors) and dietary habits (consumption of healthy and unhealthy food). The Two Step clustering algorithm using the log-likelihood measure was employed to cluster formation and regression models were adopted to the main analysis. Results: We observed a complex co-existence of obesogenic behaviors. Differences regarding the metabolic risk between clusters was only observed among the early-maturing adolescents, where the cluster with higher number of healthy behaviors but lower physical activity presented higher metabolic risk score. Conclusions: We conclude that physical activity has an important role on the association of clusters of obesogenic behaviors and metabolic risk in early-maturing adolescents.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Graduate Program in Health Sciences State University of LondrinaDepartment of Physical Education Federal University of Santa CatarinaCenter for Epidemiological Research in Nutrition and Health Department of Nutrition School of Public Health Universidade de São Paulo (USP)Laboratorio de Rendimiento Humano Grupo de Estudio en Educación Actividad Física y Salud (GEEAFyS) Universidad Católica del MauleLACAPS Federal University of Alagoas Arapiraca Brazil; and CIDAF University of CoimbraDepartment of Physical Education São Paulo State UniversityDepartment of Physical Education Federal University of SergipeDepartment of Physical Education State University of LondrinaDepartment of Physical Education São Paulo State UniversityCNPq: 483867/2009-8Universidade Estadual de Londrina (UEL)Universidade Federal de Santa Catarina (UFSC)Universidade de São Paulo (USP)Universidad Católica del MauleUniversity of CoimbraUniversidade Estadual Paulista (UNESP)Universidade Federal de Sergipe (UFS)Magalhães, Kleberton C. S.Matias, Thiago S.Araujo, Raphael H.Werneck, André O.Ferrari, GersonLuz, Leonardo G. O.Fernandes, Rômulo A. [UNESP]Barbosa, Décio S.Ronque, Enio R. V.Cyrino, Edilson S.Silva, Danilo R.2023-03-01T20:15:12Z2023-03-01T20:15:12Z2022-09-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1002/ajhb.23778American Journal of Human Biology, v. 34, n. 9, 2022.1520-63001042-0533http://hdl.handle.net/11449/24039310.1002/ajhb.237782-s2.0-85133460086Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAmerican Journal of Human Biologyinfo:eu-repo/semantics/openAccess2023-03-01T20:15:13Zoai:repositorio.unesp.br:11449/240393Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:02:54.107164Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
title |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
spellingShingle |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents Magalhães, Kleberton C. S. |
title_short |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
title_full |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
title_fullStr |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
title_full_unstemmed |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
title_sort |
Clusters of obesogenic behaviors and metabolic risk according to somatic maturity status among adolescents |
author |
Magalhães, Kleberton C. S. |
author_facet |
Magalhães, Kleberton C. S. Matias, Thiago S. Araujo, Raphael H. Werneck, André O. Ferrari, Gerson Luz, Leonardo G. O. Fernandes, Rômulo A. [UNESP] Barbosa, Décio S. Ronque, Enio R. V. Cyrino, Edilson S. Silva, Danilo R. |
author_role |
author |
author2 |
Matias, Thiago S. Araujo, Raphael H. Werneck, André O. Ferrari, Gerson Luz, Leonardo G. O. Fernandes, Rômulo A. [UNESP] Barbosa, Décio S. Ronque, Enio R. V. Cyrino, Edilson S. Silva, Danilo R. |
author2_role |
author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Londrina (UEL) Universidade Federal de Santa Catarina (UFSC) Universidade de São Paulo (USP) Universidad Católica del Maule University of Coimbra Universidade Estadual Paulista (UNESP) Universidade Federal de Sergipe (UFS) |
dc.contributor.author.fl_str_mv |
Magalhães, Kleberton C. S. Matias, Thiago S. Araujo, Raphael H. Werneck, André O. Ferrari, Gerson Luz, Leonardo G. O. Fernandes, Rômulo A. [UNESP] Barbosa, Décio S. Ronque, Enio R. V. Cyrino, Edilson S. Silva, Danilo R. |
description |
Objective: This study aimed to identify the clusters of obesogenic behaviors, and verify the association with metabolic risk according to the categories of somatic maturity status of adolescents. Methods: This is a cross-sectional study conducted with 1159 (55.1% girls) Brazilian adolescents aged between 10 and 16 years (mean age: 12.9 years). Measurements of waist circumference, blood pressure, blood glucose, HDL-C, and triglycerides were combined to calculate a metabolic risk score. Somatic maturity was assessed by estimating the peak of height velocity. The obesogenic behaviors analyzed were physical activity (Baecke questionnaire), sedentary behavior (screen-based behaviors) and dietary habits (consumption of healthy and unhealthy food). The Two Step clustering algorithm using the log-likelihood measure was employed to cluster formation and regression models were adopted to the main analysis. Results: We observed a complex co-existence of obesogenic behaviors. Differences regarding the metabolic risk between clusters was only observed among the early-maturing adolescents, where the cluster with higher number of healthy behaviors but lower physical activity presented higher metabolic risk score. Conclusions: We conclude that physical activity has an important role on the association of clusters of obesogenic behaviors and metabolic risk in early-maturing adolescents. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-01 2023-03-01T20:15:12Z 2023-03-01T20:15:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1002/ajhb.23778 American Journal of Human Biology, v. 34, n. 9, 2022. 1520-6300 1042-0533 http://hdl.handle.net/11449/240393 10.1002/ajhb.23778 2-s2.0-85133460086 |
url |
http://dx.doi.org/10.1002/ajhb.23778 http://hdl.handle.net/11449/240393 |
identifier_str_mv |
American Journal of Human Biology, v. 34, n. 9, 2022. 1520-6300 1042-0533 10.1002/ajhb.23778 2-s2.0-85133460086 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
American Journal of Human Biology |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808129277501112320 |