scholarly journals Estimated GFR Is Biased by Non-Traditional Cardiovascular Risk Factors

2015 ◽  
Vol 41 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Toralf Melsom ◽  
Ole Martin Fuskevåg ◽  
Ulla Dorte Mathisen ◽  
Harald Strand ◽  
Jørgen Schei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Cystatin C ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Symmetric Dimethylarginine ◽  
Cross Sectional ◽  
Bias Risk ◽  
Liquid Chromatography Tandem Mass ◽  
Measured Gfr

Background: Estimated glomerular filtration rate (eGFR) based on either cystatin C or creatinine performs similarly in estimating measured GFR, but associate differently with cardiovascular disease (CVD) and mortality. This could be due to confounding by non-GFR-related traits associated with cystatin C and creatinine levels. We investigated non-GFR-related associations between eGFR and two types of nontraditional risk factors for CVD and death: L-arginine/dimethylarginine metabolism and insulin resistance. Methods: GFR was measured via iohexol clearance in a cross-sectional study of 1,624 middle-aged persons from the general population without CVD, diabetes or chronic kidney disease. The dimethylarginines were measured using liquid chromatography tandem mass spectrometry (LC-MSMS). Insulin resistance was determined by the homeostasis model assessment (HOMA-IR). Results: Asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA), the L-arginine/ADMA ratio and insulin resistance were associated with creatinine-based eGFR after accounting for measured GFR in multivariable adjusted analyses. The cystatin C-based eGFR showed a similar residual association with SDMA; an oppositely directed, borderline significant association with ADMA; and a stronger residual association with insulin resistance compared with eGFR based on creatinine. Conclusion: Both creatinine- and cystatin C-based eGFR are influenced by nontraditional risk factors, which may bias risk prediction by eGFR in longitudinal studies.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

scholarly journals Inverse association between soya food consumption and insulin resistance in Japanese adults

2014 ◽  
Vol 18 (11) ◽  
pp. 2031-2040 ◽  
Author(s):  
Mariko Nakamoto ◽  
Hirokazu Uemura ◽  
Tohru Sakai ◽  
Sakurako Katsuura-Kamano ◽  
Miwa Yamaguchi ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Rural Communities ◽  
Food Consumption ◽  
Dose Response ◽  
Cross Sectional Study ◽  
Soya Protein ◽  
Model Assessment ◽  
Inverse Association ◽  
Cross Sectional ◽  
Soya Product

AbstractObjectiveThe purpose of the present study was to examine the association between soya food consumption and insulin resistance using baseline data of the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study in Tokushima, Japan.DesignThis cross-sectional study included 1274 subjects, aged 34–70 years at baseline, living in Tokushima Prefecture between 2008 and 2013. Fasting blood samples were collected and information on lifestyle characteristics including soya food intake and medical history were obtained using a structured self-administered questionnaire. The homeostasis model assessment of insulin resistance (HOMA-IR) was measured and those with HOMA-IR≥2·5 were defined as having insulin resistance. Multiple logistic regression models were used to analyse the association between soya product intake and the prevalence of insulin resistance.SettingRural communities located in Tokushima Prefecture, Japan, between 2008 and 2013.SubjectsA total of 1148 adults (565 men and 583 women), aged 34–70 years.ResultsThe frequency of intake of miso soup, total non-fried soya products and total soya products showed significant inverse dose–response relationships with insulin resistance, after adjustments for potential confounders. When soya product intake was calculated as soya protein and isoflavone, the odds ratios of insulin resistance decreased significantly as the estimated intake of soya protein increased. Furthermore, significant inverse dose–response relationships were observed for total non-fried soya products and total soya products, after adjustment for total vegetable or total fibre consumption.ConclusionsThe present results indicate that the intake of soya products and non-fried soya products is associated with reduced insulin resistance in the Japanese population.

scholarly journals Interleukin-6 and insulin resistance in obese adolescents

2016 ◽  
Vol 53 (5) ◽  
pp. 268
Author(s):  
Raynald Takumansang ◽  
Sarah M. Warouw ◽  
Hesti Lestari
Keyword(s):  
Insulin Resistance ◽  
Interleukin 6 ◽  
Cross Sectional Study ◽  
Normal Body Mass Index ◽  
Model Assessment ◽  
Tissue Mass ◽  
Cross Sectional ◽  
Obese Adolescents ◽  
Glucose Levels ◽  
The Mean

Background Obesity has become a rapidly growing epidemic worldwide, increasing the risk of morbidity and mortality in adolescents. Obesity is due to an expansion of adipose tissue mass, which is an important source of cytokines and contributes to an increase in pro-inflammatory cytokines, such as interleukin-6 (IL-6). Interleukin-6 is significantly increased in obesity and may lead to a state of insulin resistance.Objective To assess for a correlation between IL-6 levels and insulin resistance in obese adolescentsMethods We conducted a cross-sectional study from January to April 2012 in Manado, North Sulawesi. Subjects were either obese or normal body mass index (BMI) teens aged 13-18 years. Data collected were anthropometric status, BMI, and blood specimens for fasting plasma glucose levels, fasting insulin levels, and IL-6 levels. Insulin resistance was expressed as homeostatic model assessment of insulin resistance (HOMA-IR) level >2.77. Data was analyzed by Pearson’s correlation and linear regression tests to assess for a possible correlation between IL-6 levels and insulin resistance.Results The mean BMI in the obese group was 31.21 (SD 3.61) kg/m2 while the mean BMI in the normal group was 19.52 (SD 2.38) kg/m2. There was no significant association between IL-6 and the occurrence of insulin resistance (P=0.309). The log regression coefficient value of IL-6 was negative (b = -0.329).Conclusion There is no correlation between IL-6 levels and incidence of insulin resistance in obese adolescents.

scholarly journals Insulin resistance in PLHIV on HAART and HAART naïve PLHIV: A Cross-sectional Study

2020 ◽  
pp. 1-3
Author(s):  
Prabir Kumar Ganguly ◽  
Niladri Das
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Antiretroviral Therapy ◽  
Cross Sectional Study ◽  
Metabolic Effects ◽  
People Living With Hiv ◽  
Model Assessment ◽  
Sectional Study ◽  
Cross Sectional ◽  
Group I

ABSTRACT HAART (Highly active antiretroviral therapy) has transformed a fatal disease to a chronic, manageable disease. But long term toxicities are emerging after prolonged exposure to antiretroviral therapy(ART). Adverse metabolic effects like dyslipidemia, increased blood pressure, and insulin resistance(IR) have been attributed to HAART. Therefore, the use of HAART raises concerns regarding metabolic disorders and cardiovascular risk in HIV(Human immunodeficiency virus) infected patients. Objective: To determine the prevalence of insulin resistance in a cohort of HIV infected patients on HAART as compared to HAART naïve PLHIV(People living with HIV) Methods: A cross sectional study includes 53 subjects, out of which 26 were PLHIV on ART –Group I, 27 were ART naïve PLHIV-Group II was conducted. Insulin resistance was determined by homeostasis model assessment (HOMA-IR) mathematical model. Statistical analysis was performed to assess the association between demographic, clinical characteristics, laboratory results and insulin resistance. Results: 69.5 % PLHIV on HAART showed IR, as compared to 37 % of ART naïve PLHIV (p= 0.01). MetS(Metabolic Syndrome) was found in 53.8% among PLHIV on ART , compared to 11.1% among ART naïve PLHIV(p= 0.001) .In the multivariate analysis, presence of metabolic syndrome was found to be directly associated with insulin resistance.

scholarly journals Prevalence of prediabetes and modifiable factors in an ethnic group of Mexico: the Comcáac Project

2017 ◽  
Vol 21 (2) ◽  
pp. 333-338 ◽  
Author(s):  
Monica Daniela Robles-Ordaz ◽  
Ana Cristina Gallegos-Aguilar ◽  
Rene Urquidez-Romero ◽  
Rolando Giovanni Diaz-Zavala ◽  
Marcos Gerardo Lavandera-Torres ◽  
...  
Keyword(s):  
Physical Activity ◽  
Insulin Resistance ◽  
Plasma Glucose ◽  
Fruits And Vegetables ◽  
Protective Factor ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Cross Sectional ◽  
Factors Associated ◽  
Modifiable Factors

AbstractObjectiveTo determine the prevalence of and modifiable factors associated with prediabetes in the Comcáac Indians.DesignCross-sectional study where prediabetes was defined using fasting plasma glucose, 2 h plasma glucose and glycated Hb (HbA1c). Physical, anthropometric and biochemical measurements, medical record, socio-economic, dietary and physical activity information were collected. The modifiable factors associated with prediabetes were assessed using multiple logistic regression.SettingsComcáac Indian communities of Punta Chueca and El Desemboque, Sonora, Mexico.SubjectsAdults (n227) aged 20 years or older.ResultsThe sex- and age-adjusted prevalence (95 % CI) of prediabetes was 47·1 (40·8, 53·5) % in the overall population; age-adjusted prevalence was 47·3 (35·6, 59·0) % in men and 46·7 (39·1, 54·3) % in women. The modifiable factors associated with a risk of prediabetes (OR; 95 % CI) were light-intensity physical activity (per 1 h/week increase: 1·04; 1·01, 1·07) and insulin resistance (homeostasis model assessment of insulin resistance score >6·1v. <4·1: 4·62; 1·37, 15·51). Increased consumption of a traditional dietary pattern based on fish and seafood, low-fat cereals, fruits and vegetables was a protective factor (0·49; 0·31, 0·79). All variables were modelled together and adjusted for age and sex.ConclusionsThe high prediabetes prevalence found in the Comcáac community is alarming because it represents a large number of people who are at risk for type 2 diabetes. The identification of modifiable factors associated with prediabetes that are specific to this population may be useful for designing effective strategies to prevent prediabetes.

scholarly journals Association between proinsulin, insulin, proinsulin/insulin ratio, and insulin resistance status with the metabolic syndrome

2007 ◽  
Vol 51 (7) ◽  
pp. 1128-1133 ◽  
Author(s):  
Ivana Pivatto ◽  
Patricia Bustos ◽  
Hugo Amigo ◽  
Ana Maria Acosta ◽  
Antonio Arteaga
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Risk Factor ◽  
Resistance Index ◽  
Cross Sectional Study ◽  
Blood Levels ◽  
Model Assessment ◽  
Cross Sectional ◽  
Predictive Values ◽  
The Metabolic Syndrome

The Metabolic Syndrome (MS) constitutes an independent risk factor of cardiovascular disease. There is evidence that proinsulin blood levels and the proinsulin/insulin ratio are associated to the MS. The purpose of this study was to compare proinsulin and insulin, insulin resistance index, and the proinsulin/insulin ratio as predictors of MS. This is a cross-sectional study involving 440 men and 556 women with a mean age of 24 years. Diagnosis of MS was made according to the National Cholesterol Education Program Adult Treatment Panel III. Blood levels of insulin and proinsulin were measured, and the insulin resistance status was estimated using the homeostatic model assessment (HOMA-IR). The prevalence of MS was 10.1%. HOMA-IR was the best MS risk factor for both women and men (OR = 2.04; 95% CI: 1.68-2.48 and 1.09; 95% CI: 1.05-1.13, respectively). HOMA-IR presented the best positive predictive value for MS: 22% and 36% for men and women, respectively, and was the best MS indicator. The proinsulin/insulin ratio did not show significant association with MS. HOMA-IR, proinsulin, and insulin presented good negative predictive values for both genders that could be used to identify an at-risk population.

scholarly journals Caffeine and Caffeine Metabolites in Relation to Insulin Resistance and Beta Cell Function in U.S. Adults

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1783
Author(s):  
Sohyae Lee ◽  
Jin-young Min ◽  
Kyoung-bok Min
Keyword(s):  
Insulin Resistance ◽  
Beta Cell ◽  
Beta Cell Function ◽  
High Performance ◽  
Cell Function ◽  
Cross Sectional Study ◽  
Caffeine Intake ◽  
Model Assessment ◽  
Cross Sectional ◽  
Glucose Levels

The relationship between caffeine and insulin resistance (IR) has been assessed only in terms of caffeine intake, and the association between caffeine and beta cell function (BCF) remains unclear. This study examines the association between urinary caffeine and its metabolites, IR, and BCF in nondiabetic, noninstitutionalized US adults in order to account for the inter-individual differences in caffeine metabolism. Data on urinary caffeine and its metabolites, IR and BCF from adults aged 20 years and older who participated in the 2009–2010 and 2011–2012 National Health and Nutrition Examination Surveys were analyzed (n for caffeine = 994). IR and BCF were assessed using homeostatic model assessment (HOMA) and urinary caffeine and its metabolites were measured using high-performance liquid chromatography-electrospray ionization-tandem quadrupole mass spectrometry. After adjusting for all covariates, increases in urinary 1,3-DMU, 1,7-DMU, 1,3,7-TMU, theophylline, paraxanthine, caffeine, and AAMU were significantly associated with increased HOMA-IR and HOMA-β (HOMA of insulin resistance and beta cell function). Compared with individuals in the lowest quartile of urinary 1,3-DMU, 1,7-DMU, 1,3,7-TMU, theophylline, paraxanthine, caffeine, and AAMU, the regression coefficients for HOMA-IR and HOMA-β were significantly higher among those in the highest quartile. After stratification by prediabetes status, HOMA-IR and HOMA-β showed significant positive associations with urinary caffeine and its metabolites among subjects with normal fasting plasma glucose levels. Our cross-sectional study showed that caffeine and its metabolites were positively related to IR and BCF.

scholarly journals Can neck circumference predict insulin resistance in older people? A cross-sectional study at primary care in Brazil

2017 ◽  
Vol 33 (8) ◽  
Author(s):  
Maria Auxiliadora Nogueira Saad ◽  
Maria Luiza Garcia Rosa ◽  
Giovanna Balarini Lima ◽  
Rubens Antunes da Cruz Filho
Keyword(s):  
Insulin Resistance ◽  
Primary Care ◽  
Cardiovascular Risk ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Anthropometric Measurements ◽  
Model Assessment ◽  
Sectional Study ◽  
Cross Sectional

Abstract: This study focused on the correlation between neck circumference and other anthropometric measurements and cardiovascular risk factors and insulin resistance in the elderly in Niterói, Rio de Janeiro State, Brazil. This was a cross-sectional study in 411 patients seen in primary care. Anthropometric measurements including neck circumference, body mass index (BMI), waist circumference (WC), and waist-hip ratio (WHR) were recorded. Bioelectrical impedance analysis (BIA) estimated the percentage of total body fat (%TBF). Insulin resistance was estimated by HOMA-IR (homeostasis model assessment IR index). The data were analyzed by the Mann-Whitney test and the correlation between numerical variables by Spearman’s test. Receiver operating characteristic (ROC) was used to assess the anthropometric measurements’ predictive capacity to diagnosis insulin resistance. Neck circumference was positively correlated with WC, BMI, WHR, %TBF, and HOMA-IR in both sexes. In women, neck circumference showed higher AUC (area under the curve) for insulin resistance. In men, WC showed higher AUC, followed by BMI and neck circumference. The current study in Southeast Brazil suggests that neck circumference can predict insulin resistance, an important marker of cardiovascular risk in the elderly population treated in primary care.

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