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PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL

OBJECTIVE: To identify the prevalence of insulin resistance in adolescents and its associations with metabolic factors and food intake. METHODS: Cross-sectional study conducted with a stratified, complex, school-based sample. The subjects were adolescents (n=1,081) who participated in the Study of C...

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Autores principales: de Andrade, Maria Izabel Siqueira, Oliveira, Juliana Souza, Leal, Vanessa Sá, Lima, Niedja Maria da Silva, Bezerra, Phelipe Bibiano, Santiago, Emerson Rogério Costa, de Lira, Pedro Israel Cabral
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade de Pediatria de São Paulo 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077796/
https://www.ncbi.nlm.nih.gov/pubmed/32187300
http://dx.doi.org/10.1590/1984-0462/2020/38/2019016
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author de Andrade, Maria Izabel Siqueira
Oliveira, Juliana Souza
Leal, Vanessa Sá
Lima, Niedja Maria da Silva
Bezerra, Phelipe Bibiano
Santiago, Emerson Rogério Costa
de Lira, Pedro Israel Cabral
author_facet de Andrade, Maria Izabel Siqueira
Oliveira, Juliana Souza
Leal, Vanessa Sá
Lima, Niedja Maria da Silva
Bezerra, Phelipe Bibiano
Santiago, Emerson Rogério Costa
de Lira, Pedro Israel Cabral
author_sort de Andrade, Maria Izabel Siqueira
collection PubMed
description OBJECTIVE: To identify the prevalence of insulin resistance in adolescents and its associations with metabolic factors and food intake. METHODS: Cross-sectional study conducted with a stratified, complex, school-based sample. The subjects were adolescents (n=1,081) who participated in the Study of Cardiovascular Risk in Adolescents in the city of Recife (Pernambuco, Brazil). We analyzed demographic, socioeconomic, behavioral, anthropometric, biochemical, and dietary variables. Insulin resistance was defined as HOMA-IR>75(th) percentile. A Poisson multivariate regression model with robust variance adjustment was used, and variables with p≤0.05 in the final model were considered statistically associated with insulin resistance. RESULTS: Median age was 14 years (interquartile range: 13-16 years), and 25.3% of the sample showed insulin resistance. The variables associated with insulin resistance in the final model were age, body mass index-for-age (BMI/A), biochemical markers (triglycerides and high-density lipoprotein cholesterol) and saturated fat intake, with insulin resistance being more prevalent in individuals whose consumption of this type of fat was below the median of the sample distribution. CONCLUSIONS: Insulin resistance was prevalent in the adolescents analyzed and was significantly associated with metabolic variables and saturated fat intake.
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spelling pubmed-70777962020-03-23 PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL de Andrade, Maria Izabel Siqueira Oliveira, Juliana Souza Leal, Vanessa Sá Lima, Niedja Maria da Silva Bezerra, Phelipe Bibiano Santiago, Emerson Rogério Costa de Lira, Pedro Israel Cabral Rev Paul Pediatr Original Article OBJECTIVE: To identify the prevalence of insulin resistance in adolescents and its associations with metabolic factors and food intake. METHODS: Cross-sectional study conducted with a stratified, complex, school-based sample. The subjects were adolescents (n=1,081) who participated in the Study of Cardiovascular Risk in Adolescents in the city of Recife (Pernambuco, Brazil). We analyzed demographic, socioeconomic, behavioral, anthropometric, biochemical, and dietary variables. Insulin resistance was defined as HOMA-IR>75(th) percentile. A Poisson multivariate regression model with robust variance adjustment was used, and variables with p≤0.05 in the final model were considered statistically associated with insulin resistance. RESULTS: Median age was 14 years (interquartile range: 13-16 years), and 25.3% of the sample showed insulin resistance. The variables associated with insulin resistance in the final model were age, body mass index-for-age (BMI/A), biochemical markers (triglycerides and high-density lipoprotein cholesterol) and saturated fat intake, with insulin resistance being more prevalent in individuals whose consumption of this type of fat was below the median of the sample distribution. CONCLUSIONS: Insulin resistance was prevalent in the adolescents analyzed and was significantly associated with metabolic variables and saturated fat intake. Sociedade de Pediatria de São Paulo 2020-03-16 /pmc/articles/PMC7077796/ /pubmed/32187300 http://dx.doi.org/10.1590/1984-0462/2020/38/2019016 Text en https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Original Article
de Andrade, Maria Izabel Siqueira
Oliveira, Juliana Souza
Leal, Vanessa Sá
Lima, Niedja Maria da Silva
Bezerra, Phelipe Bibiano
Santiago, Emerson Rogério Costa
de Lira, Pedro Israel Cabral
PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL
title PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL
title_full PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL
title_fullStr PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL
title_full_unstemmed PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL
title_short PREVALENCE OF INSULIN RESISTANCE AND ASSOCIATION WITH METABOLIC RISK FACTORS AND FOOD CONSUMPTION IN ADOLESCENTS - RECIFE/BRAZIL
title_sort prevalence of insulin resistance and association with metabolic risk factors and food consumption in adolescents - recife/brazil
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7077796/
https://www.ncbi.nlm.nih.gov/pubmed/32187300
http://dx.doi.org/10.1590/1984-0462/2020/38/2019016
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