Predição da resistência à insulina em crianças: indicadores antropométricos e metabólicos

Moreira, Sérgio Rodrigues; Ferreira, Aparecido Pimentel; Lima, Ricardo Moreno; Arsa, Gisela; Campbell, Carmen Sílvia Grubert; Simões, Herbert Gustavo; Pitanga, Francisco José Gondim; França, Nanci Maria de

doi:10.1590/s0021-75572008000100009

Cited by 18 publications

(12 citation statements)

References 24 publications

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“…Regarding the ROC curve for variables, HOMA-IR, glycemia, and insulin resistance, the AUC values were greater for BMI, WC, and WHtR. Moreira et al ( 30 ) , in a study involving 109 children between seven and 11 years old from a public school in Taguatinga, DF, Brazil, found that, in the diagnosis of alteration in HOMA-IR, the largest AUC was for the BMI (AUC - 0.90/0.83-0.97), and the smallest one was for the WHR (AUC - 0.67/0.46-0.87). 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.…”

Section: Discussionmentioning

confidence: 94%

“…Quanto à curva ROC para variáveis, diagnóstico HOMA-IR, glicemia e insulina de jejum, os valores de AUC foram maiores para IMC, PC e RCE. 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 ) .…”

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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: 94%

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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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“…In addition, TG:HDL-C ratio was also found to be significantly correlated with waist circumference (p < 0.001). A number of studies have reported significant predictive power of waist circumference as anthropometric surrogate marker in predicting insulin resistance among children14151617. Hence, indicating the practicality of introducing TG:HDL-C ratio as a relatively simple biochemical marker for IR.…”

Section: Discussionmentioning

confidence: 99%

Triglyceride to HDL-C Ratio is Associated with Insulin Resistance in Overweight and Obese Children

Iwani

Jalaludin

Zin

et al. 2017

Sci Rep

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The purpose of this study was to investigate the usefulness of triglyceride to hdl-c ratio (TG:HDL-C) as an insulin resistance (IR) marker for overweight and obese children. A total of 271 blood samples of obese and overweight children aged 9–16 years were analysed for fasting glucose, lipids and insulin. Children were divided into IR and non-insulin resistance, using homeostasis model assessment (HOMA). The children were then stratified by tertiles of TG: HDL-C ratio. The strength between TG:HDL-C ratio and other parameters of IR were quantified using Pearson correlation coefficient (r). Odds ratio was estimated using multiple logistic regression adjusted for age, gender, pubertal stages and IR potential risk factors. Children with IR had significantly higher TG:HDL-C ratio (2.48) (p = 0.01). TG:HDL-C ratio was significantly correlated with HOMA-IR (r = 0.104, p < 0.005) and waist circumference (r = 0.134, p < 0.001). Increasing tertiles of TG:HDL-C ratio showed significant increase in mean insulin level (p = 0.03), HOMA-IR (p = 0.04) and significantly higher number of children with acanthosis nigricans and metabolic syndrome. The odds of having IR was about 2.5 times higher (OR = 2.47; 95% CI 1.23, 4.95; p = 0.01) for those in the highest tertiles of TG:HDL-C ratio. Hence, TG:HDL-C may be a useful tool to identify high risk individuals.

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“…A cross sectional study by Hirchler et al showed that WC was slightly more powerful than BMI or WHR to predict IR ( 12 ). Moreira et al, and Manios et al, also evaluated BMI, WC, WHtR, BF%, conicity index, and some laboratory parameters to predict IR ( 11 , 45 ).…”

Section: Discussionmentioning

confidence: 99%

Optimal Cutoff Points for Anthropometric Variables to Predict Insulin Resistance in Polycystic Ovary Syndrome

Hatami

Montazeri

Hashemi

et al. 2017

Int J Endocrinol Metab

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BackgroundInsulin resistance (IR) is a major cardiometabolic risk factor in females with polycystic ovary syndrome (PCOS). The euglycemic clamp is the gold standard method to measure IR. However, considering the time and cost that it takes, surrogate markers of IR are now widely used. The current study aimed at evaluating the cutoff points of even less invasive anthropometric and body composition variables to predict IR in females with PCOS.MethodsThe current cross sectional study selected 224 females with PCOS, using Rotterdam criteria, referred to reproductive endocrinology research center; 88 of which were diagnosed with insulin resistance. Receiver operating characteristics curve was used to explore the best cutoff values of each anthropometric and body composition measures. IR was defined as homeostasis model assessment formula greater or equal to 2.6: HOMA-IR = fasting insulin (mU/L) × fasting plasma glucose (mM/L)/22.5.ResultsThe highest area under the curve (0.751) was for the multiplication of waist circumference (WC) by body mass index (BMI), as a single index. The highest sensitivity and specificity were for body water (BW) percentage (82% for values greater than 32.85%) and WC (79% for values greater than 88 cm), respectively.ConclusionsIt was concluded that there were simple anthropometric variables; e.g., WC × BMI, percentage of BW, and WC that could help to estimate IR in clinical settings especially when the gold standard or surrogate markers of IR were unavailable.

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Predição da resistência à insulina em crianças: indicadores antropométricos e metabólicos

Cited by 18 publications

References 24 publications

Body composition and risk for metabolic alterations in female adolescents

Body composition and risk for metabolic alterations in female adolescents

Triglyceride to HDL-C Ratio is Associated with Insulin Resistance in Overweight and Obese Children

Optimal Cutoff Points for Anthropometric Variables to Predict Insulin Resistance in Polycystic Ovary Syndrome

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