scholarly journals Thyroid hormone levels associate with insulin resistance in obese women with metabolic syndrome in Saudi Arabia: A cross-sectional study

2019 ◽  
Author(s):  
Manal Abdulaziz Binobead ◽  
Nawal Abdullah Al Badr ◽  
Wahidah Hazzaa Al-Qahtani ◽  
Sahar Abdulaziz AlSedairy ◽  
Tarfa Ibrahim Albrahim ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Obese Women ◽  
Free Triiodothyronine ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

AbstractBackgroundThe obesity epidemic is a pressing global health concern, as obesity rates continue to climb worldwide. The current study was aimed mainly to evaluate the correlation between thyroid hormones and homeostatic model assessment of insulin resistance in Saudi obese women with metabolic syndrome.Methods100 obese women aged 25 to 55 years were clinically evaluated, from which 72 women were diagnosed with the metabolic syndrome and 28 without metabolic syndrome. Insulin resistance was quantified using the homeostatic model assessment of insulin resistance method and the resulting values were analyzed for association with demographic, clinical, and metabolic parameters.ResultsThis analysis revealed that body mass index, systolic blood pressure, and biochemical parameters and fasting insulin showed statistically higher levels in the group with metabolic syndrome compared to the group without metabolic syndrome. Similarly, values of waist circumference, fat ratio, cholesterol, free thyroxine, free triiodothyronine and homeostatic model assessment of insulin resistance results were higher in the group with metabolic syndrome as compared to the group without metabolic syndrome. Correlation analysis revealed positive association of thyroid-stimulating hormone with waist circumference (P=0.01), total cholesterol (P=0.002), fasting insulin (P=0.03) and homeostatic model assessment of insulin resistance results (P<0.01), and negatively associated with diastolic blood pressure (P=0.013) and age (P=0.05). Free thyroxine was positively associated with triglyceride level (P=0.003) and negatively associated with homeostatic model assessment of insulin resistance values (P=0.035) and fasting insulin. Free triiodothyronine was positively associated with body mass index (P=0.032) and waist circumference (P= 0.006) and negatively with age (P=0.004) and total cholesterol (P=0.001).Homeostatic model assessment of insulin resistance test revealed elevated level with positive association of body mass index, waist circumference, biochemical parameters and thyroid-stimulating hormone in insulin resistant obese women. Higher level of free triiodothyronine was found to be associated with low insulin sensitivity.

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 Elevated Retinol-Binding Protein 4 Levels Are Associated with Metabolic Syndrome in Chinese People

2007 ◽  
Vol 92 (12) ◽  
pp. 4827-4834 ◽  
Author(s):  
Qibin Qi ◽  
Zhijie Yu ◽  
Xingwang Ye ◽  
Feng Zhao ◽  
Ping Huang ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Odds Ratio ◽  
Large Scale ◽  
Density Lipoprotein ◽  
Retinol Binding Protein ◽  
Model Assessment ◽  
Retinol Binding Protein 4 ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Abstract Context: High retinol-binding protein 4 (RBP4) is thought to be associated with insulin resistance in humans. However, evidence from large-scale populations about the relationship between RBP4 and metabolic diseases is scarce. Objective: We evaluated plasma RBP4 distribution and its association with metabolic syndrome (MetS) among middle-aged and older Chinese. Research Design and Methods: We evaluated plasma RBP4 in a cross-sectional sample of 3289 Chinese aged from 50 to 70 yr in Beijing and Shanghai by using an in-house developed and validated sandwich ELISA. MetS was defined according to the updated National Cholesterol Education Program Adult Treatment Panel III criteria for Asian-Americans. Results: RBP4 levels were higher in male and Beijing residents, compared with female and Shanghai participants (both P &lt; 0.001). RBP4 levels were associated positively with body mass index, waist circumference, triglycerides, total and low-density lipoprotein cholesterol, blood pressure, fasting insulin, and homeostatic model assessment of insulin resistance and negatively with high-density lipoprotein cholesterol and adiponectin (all P &lt; 0.001). In the highest RBP4 quartile, the MetS risk was significantly higher (odds ratio 2.58; 95% confidence interval 2.08–3.20) than in the lowest quartile after adjustment for potential confounders. This association remained strong (odds ratio 2.25; 95% confidence interval 1.72–2.94) after further controlling for C-reactive protein, adiponectin, homeostatic model assessment of insulin resistance, and body mass index. Conclusions: This first large-scale population study shows that elevated RBP4 levels are strongly and independently associated with MetS. Prospective studies are needed to establish the role of RBP4 in the development of MetS and related diseases.

Association Between the Visceral Adiposity Index and Homeostatic Model Assessment of Insulin Resistance in Participants With Normal Waist Circumference

Angiology ◽  
2016 ◽  
Vol 68 (8) ◽  
pp. 716-721 ◽  
Author(s):  
Baolan Ji ◽  
Hua Qu ◽  
Hang Wang ◽  
Huili Wei ◽  
Huacong Deng
Keyword(s):  
Insulin Resistance ◽  
Waist Circumference ◽  
Pearson Correlation ◽  
Visceral Adiposity ◽  
Postprandial Blood Glucose ◽  
Visceral Adiposity Index ◽  
Model Assessment ◽  
Adiposity Index ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

We assessed the correlation between the visceral adiposity index (VAI; a useful indicator of adipose distribution and function) and homeostatic model assessment of insulin resistance (HOMA-IR) in participants with normal waist circumference. A cross-sectional study was conducted, which included 1834 Chinese adults. The blood pressure, anthropometric measurements, fasting and postprandial blood glucose, fasting insulin, and lipid profiles were measured. The VAI and HOMA-IR were calculated. Participants were divided into 4 groups according to the HOMA-IR level, and the correlation between the VAI and HOMA-IR was analyzed. The VAI gradually increased across the HOMA-IR quartiles ( P < .05), and a Pearson correlation analysis showed that VAI was positively related to the HOMA-IR ( P < .001) in males and females. After adjusting for the other covariates, VAI was independently correlated with the HOMA-IR. A logistic regression analysis indicated that VAI elevation was the main risk factor for the increased HOMA-IR in both genders. Overall, the VAI was closely correlated with the HOMA-IR in a population without central obesity.

scholarly journals Psoriasis Severity—A Risk Factor of Insulin Resistance Independent of Metabolic Syndrome

2018 ◽  
Vol 15 (7) ◽  
pp. 1486 ◽  
Author(s):  
Melita Polic ◽  
Maja Miskulin ◽  
Martina Smolic ◽  
Kristina Kralik ◽  
Ivan Miskulin ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Cardiovascular Risk ◽  
Beta Cell Function ◽  
Cell Function ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model ◽  
Psoriasis Severity

Background: It is still debatable whether psoriasis increases cardiovascular risk indirectly since it is associated with metabolic syndrome or is an independent cardiovascular risk factor. The aim of this study was to evaluate psoriasis severity as an independent predictor of insulin resistance (IR) irrespective of the presence of metabolic syndrome (MetS). Methods: This was a case control study including 128 patients stratified into two groups: patients with psoriasis and metabolic syndrome vs. patients with psoriasis and no metabolic syndrome. MetS was diagnosed according to ATP III criteria with homeostatic model assessment of insulin resistance (HOMA-IR), as well as a homeostatic model assessment of beta cell function (HOMA-β) were calculated. Results: Compared to subjects without metabolic syndrome, patients with metabolic syndrome had a significantly higher Psoriasis Area Severity Index (PASI) values (p < 0.001). The strongest correlation was established for HOMA-IR and the PASI index (p < 0.001), even after adjustment for body mass index (BMI) in regression analysis model. In patients without MetS and severe forms of disease, the HOMA-IR and HOMA-β values were significantly higher compared to mild forms of disease (p < 0.001 for all) while in subjects with MetS no difference was established for HOMA-IR or HOMA-β based on disease severity. Conclusions: Psoriasis severity is an independent risk factor of HOMA-IR, the strongest association being present in the non-MetS group, who still had preserved beta cell function suggesting direct promotion of atherosclerosis via insulin resistance depending on the disease severity, but irrespective of the presence of metabolic syndrome.

scholarly journals Associations between maternal anthropometric characteristics and infant birth weight in Iranian population

2016 ◽  
Vol 4 ◽  
pp. 205031211664669 ◽  
Author(s):  
Sormeh Nourbakhsh ◽  
Sepideh Ashrafzadeh ◽  
Ali Hafizi ◽  
Ali Naseh
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Birth Weight ◽  
Body Mass ◽  
Gestational Age ◽  
Serum Insulin ◽  
Maternal Body Mass Index ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model

Objective: To examine the (1) normal ranges of anthropometric and insulin resistance/sensitivity indices (homeostatic model assessment for insulin resistance, homeostatic model assessment for insulin sensitivity, and quantitative insulin sensitivity check index) for Iranian pregnant women and their newborns and (2) associations between maternal anthropometric and metabolic values and infants’ birth weights among Iranian women. Methods: Anthropometric and metabolic values of 163 singleton non-diabetic pregnant women in Tehran, Iran (2014) were collected before and during pregnancy and at delivery. Linear regression, multivariable regression, and Student t tests were used to evaluate correlations between birth weight and maternal variables. Results: Linear regression modeling suggested that maternal serum glucose ( p = 0.2777) and age ( p = 0.6752) were not associated with birth weight. Meanwhile, maternal weight and body mass index before pregnancy ( p = 0.0006 and 0.0204, respectively), weight at delivery ( p = 0.0036), maternal height ( p = 0.0118), and gestational age ( p  = 0.0016) were positively associated with birth weight, while serum insulin ( p = 0.0300) and homeostatic model assessment for insulin resistance ( p = 0.0334) were negatively associated with infant’s birth weight. Using multivariate modeling, we identified severalconfounders: parity (multipara mothers delivered heavier babies compared to first-time mothers) explained as much as 24% of variation in birth weight ( p = 0.005), maternal height explained 20.7% ( p = 0.014), gestational age accounted for 19.7% ( p = 0.027), and maternal body mass index explained 19.1% ( p = 0.023) of the variation in the infant’s birth weight. Maternal serum insulin and infant’s sex were not observed to be associated with birth weight ( p = 0.342 and 0.669, respectively) in the overall model. Conclusion: Overweight/obese women may experience higher incidence of delivering larger babies. Multivariable regression analyses showed that maternal body mass index and height, parity, and gestational age are associated with newborn’s birth weight.

scholarly journals TRI-PONDERAL MASS INDEX IS USEFUL FOR SCREENING CHILDREN AND ADOLESCENTS WITH INSULIN RESISTANCE

2020 ◽  
Vol 38 ◽  
Author(s):  
Felipe Silva Neves ◽  
Rafael de Oliveira Alvim ◽  
Divanei Zaniqueli ◽  
Virgilia Oliveira Pani ◽  
Caroline Resende Martins ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Body Mass Index ◽  
Public Schools ◽  
Children And Adolescents ◽  
Body Mass ◽  
The Body ◽  
Model Assessment ◽  
Homeostatic Model Assessment ◽  
Z Scores ◽  
Homeostatic Model

ABSTRACT Objective: To investigate whether tri-ponderal mass index and body mass index Z scores are equivalent for screening children and adolescents with insulin resistance. Methods: Cross-sectional study with 296 children and adolescents enrolled at public schools of Vitória, Espírito Santo, Brazil, aged eight to 14 years. The tri-ponderal mass index was calculated as the ratio between weight and height cubed. The body mass index was calculated as the ratio between weight and height squared. Insulin resistance was defined with the homeostatic model assessment (HOMA-IR). Results: The HOMA-IR was higher in the 4th quartile of body mass index Z scores and tri-ponderal mass index compared to 1st and 2nd quartiles for both girls and boys. The areas under the age-adjusted receiver operating characteristic curves were similar between the indices for girls (body mass index Z scores=0.756; tri-ponderal mass index=0.763) and boys (body mass index Z scores=0.831; tri-ponderal mass index=0.843). In addition, according to the simple linear regression analyses estimations, both body mass index Z scores and tri-ponderal mass index explained a significant fraction of the homeostatic model assessment variability for girls (body mass index Z scores: R2=0.269; tri-ponderal mass index: R2=0.289; p<0.001) and boys (body mass index Z scores: R2=0.175; tri-ponderal mass index: R2=0.210; p<0.001). Conclusions: The tri-ponderal mass index and body mass index Z scores were similar to discriminate children and adolescents with insulin resistance. It is noteworthy that the use of tri-ponderal mass index is clearly advantageous, because it can be calculated with no concerns on adjustments for the age, a fact that makes it very applicable in the clinical practice.

scholarly journals IMPORTANCE OF FASTING INSULIN LEVELS IN INSULIN RESISTANCE AND DIABETES MELLITUS (HOMEOSTATIC MODEL ASSESSMENT)

2016 ◽  
Vol 5 (90) ◽  
pp. 6685-6688
Author(s):  
Irfan Ahamed H B ◽  
Aniruddha Udupa K ◽  
Mohammed Ismail ◽  
Syed Aman Jagirdar ◽  
Naveen Sagar H M
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Insulin Levels ◽  
Homeostatic Model Assessment ◽  
Homeostatic Model
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