312 resultados para HOMA-IR2


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Background: Diabetes and diabetes-related complications are major causes of morbidity and mortality in the United States. Depressive symptoms and perceived stress have been identified as possible risk factors for beta cell dysfunction and diabetes. The purpose of this study was to assess associations between depression symptoms and perceived stress with beta cell function between African and Haitian Americans with and without type 2 diabetes. Participants and Methods: Informed consent and data were available for 462 participants (231 African Americans and 231 Haitian Americans) for this cross-sectional study. A demographic questionnaire developed by the Primary Investigator was used to collect information regarding age, gender, smoking, and ethnicity. Diabetes status was determined by self-report and confirmed by fasting blood glucose. Anthropometrics (weight, and height and waist circumference) and vital signs (blood pressure) were taken. Blood samples were drawn after 8 10 hours over-night fasting to measure lipid panel, fasting plasma glucose and serum insulin concentrations. The homeostatic model assessment, version 2 (HOMA2) computer model was used to calculate beta cell function. Depression was assessed using the Beck Depression Inventory-II (BDI-II) and stress levels were assessed using the Perceived Stress Scale (PSS). Results: Moderate to severe depressive symptoms were more likely for persons with diabetes (p = 0.030). There were no differences in perceived stress between ethnicity and diabetes status (p = 0.283). General linear models for participants with and without type 2 diabetes using beta cell function as the dependent variable showed no association with depressive symptoms and perceived stress; however, Haitian Americans had significantly lower beta cell function than African Americans both with and without diabetes and adjusting for age, gender, waist circumference and smoking. Further research is needed to compare these risk factors in other race/ethnic groups.

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Matheron (1971) proposed an approximation of the extension variance in IR. We propose in this note an extension of this formula in IR2, based on a MacLaurin formula. Its application is shown in an example, the estimation of the maximum depressional storage of a soil surface.

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INTRODUCTION: Insulin resistance is the pathophysiological key to explain metabolic syndrome. Although clearly useful, the Homeostasis Model Assessment index (an insulin resistance measurement) hasn't been systematically applied in clinical practice. One of the main reasons is the discrepancy in cut-off values reported in different populations. We sought to evaluate in a Portuguese population the ideal cut-off for Homeostasis Model Assessment index and assess its relationship with metabolic syndrome. MATERIAL AND METHODS: We selected a cohort of individuals admitted electively in a Cardiology ward with a BMI < 25 Kg/m2 and no abnormalities in glucose metabolism (fasting plasma glucose < 100 mg/dL and no diabetes). The 90th percentile of the Homeostasis Model Assessment index distribution was used to obtain the ideal cut-off for insulin resistance. We also selected a validation cohort of 300 individuals (no exclusion criteria applied). RESULTS: From 7 000 individuals, and after the exclusion criteria, there were left 1 784 individuals. The 90th percentile for Homeostasis Model Assessment index was 2.33. In the validation cohort, applying that cut-off, we have 49.3% of individuals with insulin resistance. However, only 69.9% of the metabolic syndrome patients had insulin resistance according to that cut-off. By ROC curve analysis, the ideal cut-off for metabolic syndrome is 2.41. Homeostasis Model Assessment index correlated with BMI (r = 0.371, p < 0.001) and is an independent predictor of the presence of metabolic syndrome (OR 19.4, 95% CI 6.6 - 57.2, p < 0.001). DISCUSSION: Our study showed that in a Portuguese population of patients admitted electively in a Cardiology ward, 2.33 is the Homeostasis Model Assessment index cut-off for insulin resistance and 2.41 for metabolic syndrome. CONCLUSION: Homeostasis Model Assessment index is directly correlated with BMI and is an independent predictor of metabolic syndrome.

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FUNDAMENTO: A correlação entre aumento de gordura visceral e de resistência à insulina coloca o diâmetro abdominal sagital e o perímetro da cintura como instrumentos potenciais para a predição de resistência à insulina. OBJETIVO: Avaliar a reprodutibilidade de diferentes aferições do diâmetro abdominal sagital e do perímetro da cintura e analisar o poder discriminante dos mesmos para predizer resistência à insulina. MÉTODOS: Foram avaliados 190 homens adultos. O diâmetro abdominal sagital (menor cintura, maior diâmetro abdominal, nível umbilical e ponto médio entre as cristas ilíacas) e o perímetro da cintura (nível umbilical, menor cintura, imediatamente acima da crista ilíaca e ponto médio entre a crista ilíaca e a última costela) foram aferidos em quatro locais diferentes. A resistência à insulina foi avaliada pelo índice HOMA-IR. RESULTADOS: Todas as medidas apresentaram correlação intraclasse de 0,986-0,999. Tanto o diâmetro abdominal sagital aferido na menor cintura (r=0,482 e AUC=0,739±0,049) como o perímetro da cintura aferido no ponto médio entre a última costela e a crista ilíaca (r=0,464 e AUC=0,746±0,05) apresentaram maiores correlações com o HOMA-IR, bem como um melhor poder discriminante para o HOMA-IR segundo a análise ROC (p<0,001). CONCLUSÃO: O diâmetro abdominal sagital e o perímetro da cintura mostraram-se altamente reprodutíveis. O diâmetro abdominal sagital (menor cintura) e o perímetro da cintura (ponto médio crista ilíaca e última costela) apresentaram melhor desempenho em predizer o HOMA-IR. Investigações em outros grupos da população brasileira devem ser realizadas para viabilizar a utilização desses indicadores de resistência à insulina na população como um todo de forma padronizada.

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OBJETIVO: avaliar o efeito da obesidade sobre a função das célulasbeta pancreáticas de pacientes portadoras de síndrome dos ovários policísticos (SOP). MÉTODOS: estudo transversal no qual foram avaliadas 82 pacientes portadoras de SOP, selecionadas de forma consecutiva, no momento do diagnóstico de SOP. Pacientes com índice de massa corporal (IMC) maior ou igual a 30 kg/m² foram consideradas SOP obesas (n=31). Valores de índice de massa corporal menores que este limite foram consideradas SOP não-obesas, o que correspondeu a 51 mulheres. Foram utilizadas a glicemia e a insulina de jejum para cálculo da função das células beta pancreáticas (HOMA-%beta-Cell) e da resistência à insulina (HOMA-IR e QUICKI) entre os grupos. Analisaram-se, também, variáveis secundárias como idade, idade da menarca, níveis séricos hormonais (testosterona, prolactina, LH e FSH) e de colesterol total, triglicerídeos, HDL colesterol e LDL-colesterol. RESULTADOS: a idade da menarca das pacientes obesas com SOP (11,7±1,8 anos) foi menor que as não-obesas (12,7±1,9) (p<0,05). As SOP obesas tiveram LH inferior (7,9±5,0 mUI/mL) ao valor encontrado nas não-obesas (10,6±6,0 mUI/mL) (p<0,05). Ambos os grupos apresentaram a média de HDL colesterol inferior a 50 mg/dL. As pacientes obesas apresentaram insulina basal (32,5±25,2 mUI/mL) e glicemia de jejum (115,9±40,7 mg/dL) mais elevadas que as não-obesas (8,8±6,6 mUI/mL e 90,2±8,9 mg/dL, respectivamente) (p<0,01). No grupo SOP obesas, a freqüência de resistência à insulina foi de 93 versus 25% no grupo SOP não-obesas (p<0,01). Foi verificada hiperfunção das células beta do pâncreas em 86% das obesas com SOP contra 41% das não-obesas portadoras de SOP (p<0,0001). CONCLUSÕES: as pacientes com SOP obesas apresentaram freqüência mais alta de resistência à insulina e hiperfunção de células beta do pâncreas quando comparadas com pacientes SOP não-obesas.

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An alarming rise of obesity in adolescents has been observed, placing them at risk of developing resistance to insulin (IR) and its adverse metabolic consequences such as diabetes mellitus type 2 (DM2), metabolic syndrome and cardiovascular disease. Objective: To know the prevalence of obesity, and the levels of glucose, insulin and HOMA-IR and its association with the BMIz, waist circumference and the pubertal stage in a random sample of adolescents. Materials and methods: 292 adolescents between 12 and 15 years (152 female and 140 male), whose anthropometric measurements (weight, height and waist circumference) were taken, body mass index calculated and Z-score determined. Blood glucose and insulin levels were evaluated from a sample of blood and their HOMA-IR was determined. Results: The results showed that 32.5% were obese, 22.3% were overweight and 23.6% showed adolescent central obesity. Glucose levels (p = 0.016), insulin (p = 0.0001) and HOMA-IR (p = 0.0001) showed significant differences in the group with obesity. Values of the three parameters were increased with the stage of puberty. We found significant differences in the levels of glucose (p = 0.0388), insulin (p = 0.0005) and HOMA-IR (p = 0.0001) between the prepubertal and postpubertal stages.

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Obesity is associated with development of the cardiorenal metabolic syndrome, which is a constellation of risk factors, such as insulin resistance, inflammatory response, dyslipidemia, and high blood pressure that predispose affected individuals to well-characterized medical conditions such as diabetes, cardiovascular and kidney chronic disease. The study was designed to establish relationship between metabolic and inflammatory disorder, renal sodium retention and enhanced blood pressure in a group of obese subjects compared with age-matched, lean volunteers. The study was performed after 14 h overnight fast after and before OGTT in 13 lean (BMI 22.92 ± 2.03 kg/m(2)) and, 27 obese (BMI 36.15 ± 3.84 kg/m(2)) volunteers. Assessment of HOMA-IR and QUICKI index were calculated and circulating concentrations of TNF-α, IL-6 and C-reactive protein, measured by immunoassay. THE STUDY SHOWS THAT A HYPERINSULINEMIC (HI: 10.85 ± 4.09 μg/ml) subgroup of well-characterized metabolic syndrome bearers-obese subjects show higher glycemic and elevated blood pressure levels when compared to lean and normoinsulinemic (NI: 5.51 ± 1.18 μg/ml, P < 0.027) subjects. Here, the combination of hyperinsulinemia, higher HOMA-IR (HI: 2.19 ± 0.70 (n = 12) vs. LS: 0.83 ± 0.23 (n = 12) and NI: 0.98 ± 0.22 (n = 15), P < 0.0001) associated with lower QUICKI in HI obese when compared with LS and NI volunteers (P < 0.0001), suggests the occurrence of insulin resistance and a defect in insulin-stimulated peripheral action. Otherwise, the adiponectin measured in basal period was significantly enhanced in NI subjects when compared to HI groups (P < 0.04). The report also showed a similar insulin-mediated reduction of post-proximal urinary sodium excretion in lean (LS: 9.41 ± 0.68% vs. 6.38 ± 0.92%, P = 0.086), and normoinsulinemic (NI: 8.41 ± 0.72% vs. 5.66 ± 0.53%, P = 0.0025) and hyperinsulinemic obese subjects (HI: 8.82 ± 0.98% vs. 6.32 ± 0.67%, P = 0.0264), after oral glucose load, despite elevated insulinemic levels in hyperinsulinemic obeses. In conclusion, this study highlights the importance of adiponectin levels and dysfunctional inflammatory modulation associated with hyperinsulinemia and peripheral insulin resistance, high blood pressure, and renal dysfunction in a particular subgroup of obeses.

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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. 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. 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. 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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Objective To assess the prevalence of insulin resistance (IR) and associated factors in contraceptive users. Methods A total of 47 women 18 to 40 years of age with a body mass index (kg/m(2)) < 30, fasting glucose levels < 100 mg/dl and 2-hour glucose level < 140 mg/dl after a 75-g oral glucose load were submitted to a hyperinsulinemic-euglycemic clamp. The women were distributed in tertiles regarding M-values. The analysed variables were use of combined hormonal/non-hormonal contraception, duration of use, body composition, lipid profile, glucose levels and blood pressure. Results IR was detected in 19% of the participants. The women with low M-values presented significantly higher body fat mass, waist-to-hip ratio, fasting insulin, HOMA-IR and were nulligravida, showed > 1 year of contraceptive use and higher triglyceride levels. IR was more frequent among combined oral contraceptive users, however no association was observed after regression analysis. Conclusions The prevalence of IR was high among healthy women attending a family planning clinic independent of the contraceptive method used with possible long-term negative consequences regarding their metabolic and cardiovascular health. Although an association between hormonal contraception and IR could not be found this needs further research. Family planning professionals should be proactive counselling healthy women about the importance of healthy habits.

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OBJECTIVE: To evaluate insulin resistance and lipid profile in women with congenital adrenal hyperplasia (CAH) caused by classical 21-hydroxylase deficiency (21OHD), and their association with body mass index (BMI) and corticosteroid dosage. SUBJECTS AND METHODS: We assessed BMI, waist circumference, current glucocorticoid dosage, glucose, insulin and lipid profile in eighteen young women (mean ± SD, 19.3 ± 3.0 years) with 21OHD CAH. RESULTS: BMI was normal in 12 patients, 5 of them were overweight, and 1 was obese. Waist circumference was high in 7 patients. Fasting insulin and HOMA-IR were elevated in seven and eight patients, respectively. Total cholesterol and triglycerides were high in only two patients, and HDL-cholesterol was low in four. Insulin resistance was not associated with BMI, waist circumference or glucocorticoid dose. CONCLUSIONS: Young women with 21OHD CAH had infrequent dyslipidemia, but had a higher prevalence of insulin resistance and central obesity, that were independent of BMI or corticosteroid dosage.

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OBJECTIVE: The objective of this pilot study was to determine whether glugagon-like peptide 2 (GLP-2) secretion relates to insulin sensitivity (IS) in obese subjects. SUBJECTS AND METHODS: Twenty four obese subjects [body mass index (BMI) 40.0 ± 3.0 kg/m² (mean ± standard deviation)] were included, nine of which were male, age 43 ± 8 years. Twelve subjects had type 2 diabetes, all treated with oral anti-diabetic agents only. The subjects were submitted to standard meal tolerance test (MTT) for dosage of the curves: glucose, insulin, and GLP-2. Insulin sensitivity was measured by HOMA-IR, and OGIS was derived from the MTT. Spearman linear correlations and partial correlations were obtained. RESULTS: There was an inverse relationship between the GLP-2 secretion and IS: HOMA-IR correlated with GLP-2 AUC (R = 0.504; p = 0.012), and OGIS correlated with GLP-2 incremental AUC (R = -0.54; p = 0.054). The correlation persisted after controlling for BMI. CONCLUSION: We found an association of GLP-2 secretion and insulin resistance (IR). The understanding of the underlying mechanisms may provide future directions in the pharmacological manipulation of incretins, and in the treatment of obesity and related metabolic disorders.

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Universidade Estadual de Campinas . Faculdade de Educação Física

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Universidade Estadual de Campinas . Faculdade de Educação Física