Association of metabolic syndrome components with insulin resistance in normal weight population: the Qazvin Metabolic Diseases study

2015 ◽  
Vol 38 (10) ◽  
pp. 1111-1115 ◽  
Author(s):  
S. Hashemipour ◽  
N. Esmailzadehha ◽  
H. Hamid ◽  
S. Oveisi ◽  
P. Yakhchaliha ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Metabolic Diseases ◽  
Normal Weight ◽  
Metabolic Syndrome Components

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.

Insulin resistance and metabolic syndrome in normal-weight individuals

Endocrine ◽  
2013 ◽  
Vol 46 (3) ◽  
pp. 496-504 ◽  
Author(s):  
Shanying Chen ◽  
Youming Chen ◽  
Xinyu Liu ◽  
Mi Li ◽  
Bide Wu ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Normal Weight

Association Between T455C Polymorphism of Apolipoprotein C-III Gene, Insulin Resistance and Metabolic Syndrome Components

Kardiologiia ◽  
2015 ◽  
Vol 6_2015 ◽  
pp. 47-53 ◽  
Author(s):  
O.S. Lunegova Lunegova ◽  
A.S. Kerimkulova Kerimkulova ◽  
A.E. Mirrakhimov Mirrakhimov ◽  
Yu.V. Zalesskaya Zalesskaya ◽  
M.P. Nabiev Nabiev ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Apolipoprotein C ◽  
Metabolic Syndrome Components

scholarly journals The severity features of artharagra clinical course in metabolic syndrome

2020 ◽  
Vol 6 ◽  
pp. 76-79
Author(s):  
Kayumov U.K ◽  
D.T. Khatamova ◽  
M.L. Saipova ◽  
G.M. Khamidova ◽  
M.M. Ziyamukhammedova
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Direct Relationship ◽  
Clinical Course ◽  
Clinical Disease ◽  
The Metabolic Syndrome ◽  
High Incidence ◽  
The Individual ◽  
Metabolic Syndrome Components

A few studies have been devoted to the metabolic syndrome and insulin resistance study in artharagra, which showed the syndrome presence and its characteristic insulin resistance in the overwhelming patients’ number. Only a few studies have reported on the insulin resistance effect and hyperinsulinemia on the artharagra course, in particular on the articular syndrome and other clinical disease manifestations. Nevertheless, they showed a high incidence of metabolic syndrome and its characteristic insulin resistance in the vast majority patients with artharagra. A direct relationship was revealed between the individual metabolic syndrome components, in particular, insulin resistance and hyperinsulinemia, and the hyperuricemia severity, which is accompanied by a more severe artharagray arthritis course in patients with artharagra.

scholarly journals Plasma vitamin D levels and risk of metabolic syndrome in Canadians

2011 ◽  
Vol 34 (6) ◽  
pp. 377 ◽  
Author(s):  
Darren R Brenner ◽  
Paul Arora ◽  
Bibiana Garcia-Bailo ◽  
Thomas MS Wolever ◽  
Howard Morrison ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Vitamin D ◽  
Plasma Level ◽  
Linear Models ◽  
Smoking Status ◽  
Plasma Vitamin ◽  
Model Assessment ◽  
Vitamin D Levels ◽  
Metabolic Syndrome Components

Purpose: Vitamin D deficiency has been implicated in susceptibility to the development of metabolic syndrome, obesity and type 2 diabetes mellitus. The present study aimed to quantify the association between vitamin D plasma level, the number of metabolic syndrome components and insulin resistance in Canadians. Methods: Vitamin D plasma level and clinical data were determined from 1,818 subjects from the Canadian Health Measures Survey; a representative health survey of the general population of Canada conducted from 2007 to 2009. The definition of metabolic syndrome was based on the National Cholesterol Education Program, Adult Treatment Panel III criteria. Adjusted general linear models were used to estimate the association between vitamin D level and probability of having metabolic syndrome, as well as the association between plasma vitamin D and insulin resistance (homeostasis model assessment for insulin resistance, or HOMA-IR). Results: The prevalence of metabolic syndrome in the study population was 8.9%. The number of metabolic syndrome components was inversely correlated with plasma vitamin D level (ρ= -0.1, p < 0.0001). Subjects in the highest vitamin D quartile had lower odds ratio of metabolic syndrome compared with their counterparts in the lowest vitamin D quartile (0.50, 95% CI= 0.24-1.06). Increasing plasma vitamin D level (by 10 nmol/L) was inversely associated with HOMA-IR score (β= -0.08, p=0.006) in a model adjusted for physical activity, smoking status, month of interview, age, sex and ethnicity. Conclusion: Vitamin D plasma levels are associated with the occurrence of metabolic syndrome components and insulin resistance among Canadians and are linked to increased level of insulin resistance.

scholarly journals Metabolic syndrome identifies normal weight insulin-resistant stroke patients at risk for recurrent vascular disease

2018 ◽  
Vol 14 (6) ◽  
pp. 639-645 ◽  
Author(s):  
Jennifer L Dearborn ◽  
Catherine M Viscoli ◽  
Silvio E Inzucchi ◽  
Lawrence H Young ◽  
Walter N Kernan
Keyword(s):  
Myocardial Infarction ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Obesity Paradox ◽  
Normal Weight ◽  
Diabetic Patients ◽  
Insulin Resistant ◽  
Increased Risk ◽  
All Cause Mortality ◽  
Patients At Risk

Background The obesity paradox refers to the finding in observational studies that patients with obesity have a better prognosis after stroke than normal weight patients. Aim To test the hypothesis that there might be important heterogeneity within the obese stroke population, such that those with metabolic syndrome would be at higher risk for stroke or myocardial infarction and all-cause mortality compared to patients without metabolic syndrome. Methods The Insulin Resistance Intervention after Stroke trial enrolled non-diabetic patients with a recent ischemic stroke or transient ischemic attack and insulin resistance. We examined the association between metabolic syndrome and outcome risk in patients with normal weight at entry (body mass index (BMI) = 18.5–24.9 kg/m2), overweight (BMI = 25–29.9 kg/m2), or obesity (BMI ≥ 30 kg/m2). Analyses were adjusted for demographic features, treatment assignment, smoking, and major comorbid conditions. Results Metabolic syndrome was not associated with greater risk for stroke or myocardial infarction among 1536 patients who were overweight (adjusted hazard ratio (HR), 0.95; 95% confidence interval (CI): 0.69–1.31) or 1626 obese patients (adjusted HR, 1.00; 95% CI: 0.70–1.41). However, among 567 patients with a normal BMI, metabolic syndrome was associated with increased risk for stroke or myocardial infarction (adjusted HR, 2.05; 95% CI: 1.25–3.37), and all-cause mortality (adjusted HR, 1.70; 95% CI: 1.03–2.81) compared to patients without metabolic syndrome. Conclusions The presence of metabolic syndrome identified normal weight patients with insulin resistance but no diabetes who have a higher risk of adverse cardiovascular outcomes, compared with patients without metabolic syndrome.

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