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Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study

BACKGROUND: Previous studies have assessed the metabolic changes and lifestyles associated with overweight adolescents. However, these associations are unclear amongst overweight adolescents who have already developed insulin resistance. This study assessed the associations between insulin resistanc...

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Autores principales: Velásquez-Rodríguez, Claudia-María, Velásquez-Villa, Marcela, Gómez-Ocampo, Leidy, Bermúdez-Cardona, Juliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286933/
https://www.ncbi.nlm.nih.gov/pubmed/25301371
http://dx.doi.org/10.1186/1471-2431-14-258
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author Velásquez-Rodríguez, Claudia-María
Velásquez-Villa, Marcela
Gómez-Ocampo, Leidy
Bermúdez-Cardona, Juliana
author_facet Velásquez-Rodríguez, Claudia-María
Velásquez-Villa, Marcela
Gómez-Ocampo, Leidy
Bermúdez-Cardona, Juliana
author_sort Velásquez-Rodríguez, Claudia-María
collection PubMed
description BACKGROUND: Previous studies have assessed the metabolic changes and lifestyles associated with overweight adolescents. However, these associations are unclear amongst overweight adolescents who have already developed insulin resistance. This study assessed the associations between insulin resistance and anthropometric, metabolic, inflammatory, food consumption, and physical activity variables amongst overweight adolescents. METHODS: This cross-sectional study divided adolescents (n = 120) between 10 and 18 years old into 3 groups: an overweight group with insulin resistance (O + IR), an overweight group without insulin resistance (O-IR), and a normal-weight control group (NW). Adolescents were matched across groups based on age, sex, pubertal maturation, and socioeconomic strata. Anthropometric, biochemical, physical activity, and food consumption variables were assessed. Insulin resistance was assessed using homeostatic model assessment (HOMA Calculator Version 2.2.2 from ©Diabetes Trials Unit, University of Oxford), and overweight status was assessed using body mass index according to World Health Organization (2007) references. A chi-square test was used to compare categorical variables. ANOVAs or Kruskal-Wallis tests were used for continuous variables. Multiple linear regression models were used to calculate the probability of the occurrence of insulin resistance based on the independent variables. RESULTS: The risk of insulin resistance amongst overweight adolescents increases significantly when they reach a waist circumference > p95 (OR = 1.9, CIs = 1.3-2.7, p = 0.013) and watch 3 or more hours/day of television (OR = 1.7, CIs = 0.98-2.8, p = 0.033). Overweight status and insulin resistance were associated with higher levels of inflammation (hsCRP ≥1 mg/L) and cardiovascular risk according to arterial indices. With each cm increase in waist circumference, the HOMA index increased by 0.082; with each metabolic equivalent (MET) unit increase in physical activity, the HOMA index decreased by 0.026. CONCLUSIONS: Sedentary behaviour and a waist circumference > p90 amongst overweight adolescents were associated with insulin resistance, lipid profile alterations, and higher inflammatory states. A screening that includes body mass index, in waist circumference, and physical activity evaluations of adolescents might enable the early detection of these alterations.
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spelling pubmed-42869332015-01-09 Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study Velásquez-Rodríguez, Claudia-María Velásquez-Villa, Marcela Gómez-Ocampo, Leidy Bermúdez-Cardona, Juliana BMC Pediatr Research Article BACKGROUND: Previous studies have assessed the metabolic changes and lifestyles associated with overweight adolescents. However, these associations are unclear amongst overweight adolescents who have already developed insulin resistance. This study assessed the associations between insulin resistance and anthropometric, metabolic, inflammatory, food consumption, and physical activity variables amongst overweight adolescents. METHODS: This cross-sectional study divided adolescents (n = 120) between 10 and 18 years old into 3 groups: an overweight group with insulin resistance (O + IR), an overweight group without insulin resistance (O-IR), and a normal-weight control group (NW). Adolescents were matched across groups based on age, sex, pubertal maturation, and socioeconomic strata. Anthropometric, biochemical, physical activity, and food consumption variables were assessed. Insulin resistance was assessed using homeostatic model assessment (HOMA Calculator Version 2.2.2 from ©Diabetes Trials Unit, University of Oxford), and overweight status was assessed using body mass index according to World Health Organization (2007) references. A chi-square test was used to compare categorical variables. ANOVAs or Kruskal-Wallis tests were used for continuous variables. Multiple linear regression models were used to calculate the probability of the occurrence of insulin resistance based on the independent variables. RESULTS: The risk of insulin resistance amongst overweight adolescents increases significantly when they reach a waist circumference > p95 (OR = 1.9, CIs = 1.3-2.7, p = 0.013) and watch 3 or more hours/day of television (OR = 1.7, CIs = 0.98-2.8, p = 0.033). Overweight status and insulin resistance were associated with higher levels of inflammation (hsCRP ≥1 mg/L) and cardiovascular risk according to arterial indices. With each cm increase in waist circumference, the HOMA index increased by 0.082; with each metabolic equivalent (MET) unit increase in physical activity, the HOMA index decreased by 0.026. CONCLUSIONS: Sedentary behaviour and a waist circumference > p90 amongst overweight adolescents were associated with insulin resistance, lipid profile alterations, and higher inflammatory states. A screening that includes body mass index, in waist circumference, and physical activity evaluations of adolescents might enable the early detection of these alterations. BioMed Central 2014-10-10 /pmc/articles/PMC4286933/ /pubmed/25301371 http://dx.doi.org/10.1186/1471-2431-14-258 Text en © Velásquez-Rodríguez et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Velásquez-Rodríguez, Claudia-María
Velásquez-Villa, Marcela
Gómez-Ocampo, Leidy
Bermúdez-Cardona, Juliana
Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
title Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
title_full Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
title_fullStr Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
title_full_unstemmed Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
title_short Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
title_sort abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4286933/
https://www.ncbi.nlm.nih.gov/pubmed/25301371
http://dx.doi.org/10.1186/1471-2431-14-258
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