scholarly journals Association of Metabolic Syndrome with the Adiponectin to Homeostasis Model Assessment of Insulin Resistance Ratio

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Yu-Song Ding ◽  
Shu-Xia Guo ◽  
Ru-Lin Ma ◽  
Shu-Gang Li ◽  
Heng Guo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Operating Characteristic ◽  
Diagnostic Marker ◽  
Roc Curves ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Middle Aged ◽  
Diagnostic Efficacy ◽  
Increased Risk

This study aimed at determining whether the adiponectin to HOMA-IR (A/H) ratio is associated with MetS and MetS components and comparing the diagnostic efficacy of adiponectin, HOMA-IR, and the A/H ratio in healthy, middle-aged participants. MetS was assessed in 1628 Kazakh participants (men, 768; women, 860). The associations between adiponectin, HOMA-IR, and the A/H ratio with the components of MetS and MetS were examined using logistic regression analysis and receiver operating characteristic (ROC) curves. Our results show that A/H ratio may be a better diagnostic marker for MetS than either HOMA-IR or adiponectin alone, and it may serve as an important biomarker to determine an increased risk for MetS in healthy middle-aged population.

scholarly journals Circulating Irisin in Relation to Insulin Resistance and the Metabolic Syndrome

2013 ◽  
Vol 98 (12) ◽  
pp. 4899-4907 ◽  
Author(s):  
Kyung Hee Park ◽  
Lesya Zaichenko ◽  
Mary Brinkoetter ◽  
Bindiya Thakkar ◽  
Ayse Sahin-Efe ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Cvd Risk ◽  
Baseline Serum ◽  
The Metabolic Syndrome ◽  
Increased Risk

Context: Irisin, a recently identified hormone, has been proposed to regulate energy homeostasis and obesity in mice. Whether irisin levels are associated with risk of the metabolic syndrome (MetS), cardiometabolic variables, and cardiovascular disease (CVD) risk in humans remains unknown. Objective: Our objective was to assess the associations between baseline serum irisin levels and MetS, cardiometabolic variables, and CVD risk. Design, Setting, and Subjects: We conducted a comparative cross-sectional evaluation of baseline circulating levels of the novel hormone irisin and the established adipokine adiponectin with MetS, cardiometabolic variables, and CVD risk in a sample of 151 subjects. Results: Baseline irisin levels were significantly higher in subjects with MetS than in subjects without MetS. Irisin was associated negatively with adiponectin (r = −0.4, P < .001) and positively with body mass index (r = 0.22, P = .008), systolic (r = 0.17, P = .04) and diastolic (r = 0.27, P = .001) blood pressure, fasting glucose (r = 0.25, P = .002), triglycerides (r = 0.25, P = .003), and homeostasis model assessment for insulin resistance (r = 0.33, P < .001). After adjustment for potential confounders, including body mass index, subjects in the highest tertile of irisin levels were more likely to have MetS (odds ratio [OR] = 9.44, 95% confidence interval [CI] = 2.66–33.44), elevated fasting blood glucose (OR = 5.80, 95% CI = 1.72–19.60), high triglycerides (OR = 3.89, 95% CI = 1.16–13.03), and low high-density lipoprotein cholesterol (OR = 3.30, 95% CI = 1.18–9.20). Irisin was independently associated with homeostasis model assessment for insulin resistance and general Framingham risk profile in multiple linear regression analyses after adjustment for confounders. Adiponectin demonstrated the expected associations with outcomes. Conclusions: Irisin is associated with increased risk of MetS, cardiometabolic variables, and CVD in humans, indicating either increased secretion by adipose/muscle tissue and/or a compensatory increase of irisin to overcome an underlying irisin resistance in these subjects.

scholarly journals Exploring the Link between the Components of Metabolic Syndrome and the Risk of Depression

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Fang-Yih Liaw ◽  
Tung-Wei Kao ◽  
Ju-Ting Hsueh ◽  
Yi-Hsin Chan ◽  
Yaw-Wen Chang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Blood Chemistry ◽  
Assessment Method ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Increased Risk ◽  
Patient Health ◽  
Low Hdl ◽  
Apparent Association

Background.Metabolic syndrome (MetS) has been reported with an increased risk of depression. MetS was also associated with insulin resistance. This study aimed to evaluate whether MetS components might contribute to depression in participants with insulin resistance (IR) or not.Methods.This study included 3,331 participants ≥18 years in the NHANES 2009-2010. Depressive symptoms were assessed using the Patient Health Questionnaire-9 (PHQ-9). MetS components were measured using blood chemistry and body measurements. IR was identified using the homeostasis model assessment method.Results.Predicted PHQ-9 scores significantly increased as the number of MetS components increased in patients with IR. The adjustedβcoefficients of the predicted PHQ-9 score with 2, 4, and 5 MetS components were 1.803, 2.081, and 3.048, respectively (Pfor trend < 0.05). Low HDL-C levels were significantly associated with higher predicted total PHQ-9 scores in fully adjusted models in the IR group (P<0.05).Conclusion.The results indicated that the presence of a greater number of components of MetS was significantly associated with higher predicted total PHQ-9 scores in participants with IR. Among the components of MetS, the most apparent association was observed between low HDL and higher predicted total PHQ-9 scores.

scholarly journals Homeostasis model assessment of insulin resistance (HOMA-IR) and metabolic syndrome at baseline of a multicentric Brazilian cohort: ELSA-Brasil study

2020 ◽  
Vol 36 (8) ◽  
Author(s):  
Maria de Fátima Haueisen Sander Diniz ◽  
Alline Maria Rezende Beleigoli ◽  
Maria Inês Schmidt ◽  
Bruce B. Duncan ◽  
Antônio Luiz P. Ribeiro ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Normal Weight ◽  
Overweight And Obesity ◽  
Model Assessment ◽  
Adult Health ◽  
Homeostasis Model Assessment ◽  
The Metabolic Syndrome ◽  
Brazilian Cohort ◽  
Overweight Or Obesity

Abstract: Homeostasis model assessment of insulin resistance (HOMA-IR) is a method to measure insulin resistance. HOMA-IR cut-offs for identifying metabolic syndrome might vary across populations and body mass index (BMI) levels. We aimed to investigate HOMA-insulin resistance cut-offs that best discriminate individuals with insulin resistance and with metabolic syndrome for each BMI category in a large sample of adults without diabetes in the baseline of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil). Among the 12,313 participants with mean age of 51.2 (SD 8.9) years, the prevalence of metabolic syndrome was 34.6%, and 60.1% had overweight or obesity. The prevalence of metabolic syndrome among normal weight, overweight and obesity categories were, respectively, 13%, 43.2% and 60.7%. The point of maximum combined sensitivity and specificity of HOMA-IR to discriminate the metabolic syndrome was 2.35 in the whole sample, with increasing values at higher BMI categories. This investigation contributes to better understanding HOMA-IR values associated with insulin resistance and metabolic syndrome in a large Brazilian adult sample, and that use of cut-off points according to ROC curve may be the better strategy. It also suggests that different values might be appropriate across BMI categories.

scholarly journals Metabolic syndrome and insulin resistance in pre-pubertal children with psoriasis

2021 ◽  
Author(s):  
Francesca Caroppo ◽  
Alfonso Galderisi ◽  
Laura Ventura ◽  
Anna Belloni Fortina
Keyword(s):  
Metabolic Disease ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Model Assessment ◽  
Limited Data ◽  
Single Center ◽  
Increased Risk ◽  
High Prevalence ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

AbstractPsoriasis in adults is associated with an increased risk of metabolic disease. Various cardiometabolic comorbidities have been reported in childhood psoriasis, but only a few studies have analyzed the prevalence of metabolic syndrome. We performed a single-center prospective study investigating the prevalence of metabolic syndrome and insulin resistance in children with psoriasis. The prevalence of metabolic syndrome was evaluated in 60 pre-pubertal children with psoriasis (age: 3–10 years), accordingly to recently established criteria for the diagnosis of metabolic syndrome in children. Insulin resistance was considered altered when the homeostatic model assessment (HOMA-IR) for insulin resistance was ≥ 90th sex- and age-specific percentile and HOMA 2-IR was > 1.8. Eighteen (30%) children with psoriasis were found to have metabolic syndrome. Sixteen (27%) children were found to have insulin resistance.Conclusion: Our data underline the importance of assessing metabolic syndrome not only in adults and adolescents but also in young children with psoriasis. What is Known:• Psoriasis in adults is strongly associated with metabolic disease and insulin resistance.• Very limited data are available on the prevalence of metabolic syndrome and insulin resistance in pre-pubertal children with psoriasis. What is New:• This study reports that in pre-pubertal children with psoriasis, there is a high prevalence of metabolic syndrome and insulin resistance.• In children with psoriasis metabolic syndrome risk factors should be assessed.

scholarly journals Antigos e novos indicadores antropométricos como preditores de resistência à insulina em adolescentes

2014 ◽  
Vol 58 (8) ◽  
pp. 838-843 ◽  
Author(s):  
Isabella Barbosa Pereira Carneiro ◽  
Helena Alves de Carvalho Sampaio ◽  
Antônio Augusto Ferreira Carioca ◽  
Francisco José Maia Pinto ◽  
Nágila Raquel Teixeira Damasceno
Keyword(s):  
Insulin Resistance ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Model Assessment ◽  
Homeostasis Model Assessment ◽  
Receiver Operating

Objetivo Apesar da importância da resistência à insulina (RI) no desenvolvimento de doenças crônicas, seu diagnóstico envolve demandas invasivas. Assim, faz-se necessário o desenvolvimento de métodos alternativos para predizer RI na prática clínica, sendo os indicadores antropométricos uma alternativa. Portanto, o objetivo deste estudo é avaliar o comportamento desses indicadores com relação ao HOMA-IR (Homeostasis Model Assessment of Insulin Resistance). Materiais e métodos: Coletaram-se peso, altura e circunferência da cintura de 148 adolescentes. A partir destes, calcularam-se índice de massa corporal (IMC), índice de massa corporal invertido (IMCi), relação cintura-estatura (RCE) e índice de conicidade (IC). Coletaram-se ainda dados de composição corporal (percentual de gordura corporal – %GC), por meio de bioimpedância elétrica, e dados bioquímicos (glicemia e insulinemia de jejum) empregados no cálculo do HOMA-IR. O ponto de corte para o HOMA-IR adotado foi de 2,39±1,93. A análise estatística envolveu a correlação de Spearman, a construção de modelos de regressão linear múltiplos e curvas ROC (Receiver Operating Characteristic), com IC de 95%. Utilizou-se o pacote estatístico SPSS v.18.0, considerando p<0,05 como nível de significância. Resultados Todos os indicadores antropométricos estavam estatisticamente correlacionados de forma positiva ao HOMA-IR. A curva ROC mostrou que CC, RCE e IC, nesta ordem, apresentaram-se mais eficazes em predizer RI. Conclusão Entre os indicadores estudados, aqueles relacionados ao acúmulo de gordura central parecem os mais indicados para predizer RI.

Sign in / Sign up

Export Citation Format

Share Document