Resistência insulínica e sua relação com os componentes da síndrome metabólica

Medeiros, Carla Campos Muniz; Ramos, Alessandra Teixeira; Cardoso, Maria Aparecida Alves; França, Inacia Sátiro Xavier de; Cardoso, Andreia Medeiros Rodrigues; Gonzaga, Nathalia Costa

doi:10.1590/s0066-782x2011005000089

Cited by 25 publications

(12 citation statements)

References 33 publications

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“…Besides, insulin resistance was associated with adolescence in a study with 196 children and adolescents between two and 18 years old from Campina Grande, PB, Brazil. It was also associated with altered triglyceride and HDL levels and with metabolic syndrome ( 31 ) . These results confirm that insulin resistance is already present in adolescence, and low-cost anthropometric measurements, such as BMI, WC, and WHtR, may predict this alteration.…”

Section: Discussionmentioning

confidence: 99%

“…Moreira et al ( 30 ) , em estudo com 109 indivíduos de sete a 11 anos de escola pública de Taguatinga, DF, observaram que, para o diagnóstico de alteração no HOMA-IR, o maior valor de AUC foi para o IMC (AUC - 0,90/0,83-0,97) e o menor valor, para a RCQ (AUC - 0,67/0,46-0,87). Além disso, a resistência à insulina associou-se à adolescência em estudo com 196 crianças e adolescentes de dois a 18 anos de Campina Grande, PB, tendo se associado também a níveis alterados de triglicerídeos, HDL e síndrome metabólica ( 31 ) . Esses resultados confirmam que, na adolescência, a resistência à insulina já está presente e medidas antropométricas de baixo custo, como IMC, PC e RCE, podem predizer tal alteração.…”

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Body composition and risk for metabolic alterations in female adolescents

Faria

Gontijo²,

Franceschini³

et al. 2014

Rev. paul. pediatr.

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OBJECTIVE: To study anthropometrical and body composition variables as predictors of risk for metabolic alterations and metabolic syndrome in female adolescents.METHODS: Biochemical, clinical and corporal composition data of 100 adolescents from 14 to 17 years old, who attended public schools in Viçosa, Southeastern Brazil, were collected.RESULTS: Regarding nutritional status, 83, 11 and 6% showed eutrophia, overweight/obesity and low weight, respectively, and 61% presented high body fat percent. Total cholesterol presented the highest percentage of inadequacy (57%), followed by high-density lipoprotein (HDL - 50%), low-density lipoprotein (LDL - 47%) and triacylglycerol (22%). Inadequacy was observed in 11, 9, 3 and 4% in relation to insulin resistance, fasting insulin, blood pressure and glycemia, respectively. The highest values of the fasting insulin and the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) were verified at the highest quartiles of body mass index (BMI), waist perimeter, waist-to-height ratio and body fat percent. Body mass index, waist perimeter, and waist-to-height ratio were the better predictors for high levels of HOMA-IR, blood glucose and fasting insulin. Waist-to-hip ratio was associated to arterial hypertension diagnosis. All body composition variables were effective in metabolic syndrome diagnosis.CONCLUSIONS: Waist perimeter, BMI and waist-to-height ratio showed to be good predictors for metabolic alterations in female adolescents and then should be used together for the nutritional assessment in this age range.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionunclassified

Body composition and risk for metabolic alterations in female adolescents

Faria

Gontijo²,

Franceschini³

et al. 2014

Rev. paul. pediatr.

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“…However, in overweight 8 and obese 8 , 9 children and adolescents, the prevalence of IR ranges from 0 to 24% and 4.4 to 57%, respectively. Based on the results of more recent studies, 33.2% 10 and 41.3% 11 of obese children and adolescents have IR.…”

Section: Introductionmentioning

confidence: 99%

Metabolic Syndrome and Importance of Associated Variables in Children and Adolescents in Guabiruba - SC, Brazil

Rosini¹,

Moura²,

Rosini³

et al. 2015

Arquivos Brasileiros De Cardiologia

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BackgroundThe risk factors that characterize metabolic syndrome (MetS) may be present in childhood and adolescence, increasing the risk of cardiovascular disease in adulthood.ObjectiveEvaluate the prevalence of MetS and the importance of its associated variables, including insulin resistance (IR), in children and adolescents in the city of Guabiruba-SC, Brazil.MethodsCross-sectional study with 1011 students (6-14 years, 52.4% girls, 58.5% children). Blood samples were collected for measurement of biochemical parameters by routine laboratory methods. IR was estimated by the HOMA-IR index, and weight, height, waist circumference and blood pressure were determined. Multivariate logistic regression models were used to examine the associations between risk variables and MetS.ResultsThe prevalence of MetS, IR, overweight and obesity in the cohort were 14%, 8.5%, 21% and 13%, respectively. Among students with MetS, 27% had IR, 33% were overweight, 45.5% were obese and 22% were eutrophic. IR was more common in overweight (48%) and obese (41%) students when compared with eutrophic individuals (11%; p = 0.034). The variables with greatest influence on the development of MetS were obesity (OR = 32.7), overweight (OR = 6.1), IR (OR = 4.4; p ≤ 0.0001 for all) and age (OR = 1.15; p = 0.014).ConclusionThere was a high prevalence of MetS in children and adolescents evaluated in this study. Students who were obese, overweight or insulin resistant had higher chances of developing the syndrome.

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“…The prevalence of IR assessed by the HOMA-IR index, found in this study was 29.1%. Published data reported prevalence rates higher in obese adolescents ( 16 , 17 ) . This variation in the prevalence of IR in the studies may be explained by the lack of an established cutoff point as a reference to classify patient outcomes ( 6 - 18 ) .…”

Section: Discussionmentioning

confidence: 91%

“…A prevalência de RI, avaliada pelo índice HOMA-IR, encontrada neste estudo foi de 29,1%. Dados publicados na literatura relatam taxas de prevalência maiores em adolescentes obesos ( 16 , 17 ) . Essa variação na prevalência de RI nos estudos pode ser explicada pela falta de um ponto de corte estabelecido como referência para classificar os resultados dos pacientes ( 6 - 18 ) .…”

Section: Discussionunclassified

Biochemical, anthropometric and body composition indicators as predictors of hepatic steatosis in obese adolescents

Gobato

Vasques

Yamada

et al. 2014

Rev. paul. pediatr.

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OBJECTIVE: To describe the prevalence of hepatic steatosis and to assess the performance of biochemical, anthropometric and body composition indicators for hepatic steatosis in obese teenagers. METHODS: Cross-sectional study including 79 adolecents aged from ten to 18 years old. Hepatic steatosis was diagnosed by abdominal ultrasound in case of moderate or intense hepatorenal contrast and/or a difference in the histogram ≥7 on the right kidney cortex. The insulin resistance was determined by the Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) index for values >3.16. Anthropometric and body composition indicators consisted of body mass index, body fat percentage, abdominal circumference and subcutaneous fat. Fasting glycemia and insulin, lipid profile and hepatic enzymes, such as aspartate aminotransferase, alanine aminotransferase, gamma-glutamyltransferase and alkaline phosphatase, were also evaluated. In order to assess the performance of these indicators in the diagnosis of hepatic steatosis in teenagers, a ROC curve analysis was applied. RESULTS: Hepatic steatosis was found in 20% of the patients and insulin resistance, in 29%. Gamma-glutamyltransferase and HOMA-IR were good indicators for predicting hepatic steatosis, with a cutoff of 1.06 times above the reference value for gamma-glutamyltransferase and 3.28 times for the HOMA-IR. The anthropometric indicators, the body fat percentage, the lipid profile, the glycemia and the aspartate aminotransferase did not present significant associations. CONCLUSIONS: Patients with high gamma-glutamyltransferase level and/or HOMA-IR should be submitted to abdominal ultrasound examination due to the increased chance of having hepatic steatosis.

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Resistência insulínica e sua relação com os componentes da síndrome metabólica

Abstract: Background: Individuals with insulin resistance are more prone to the development of metabolic syndrome (MS), Type 2 Diabetes Mellitus and Cardiovascular Disease (CVD)

Cited by 25 publications

References 33 publications

Body composition and risk for metabolic alterations in female adolescents

Body composition and risk for metabolic alterations in female adolescents

Metabolic Syndrome and Importance of Associated Variables in Children and Adolescents in Guabiruba - SC, Brazil

Biochemical, anthropometric and body composition indicators as predictors of hepatic steatosis in obese adolescents

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