scholarly journals Fatty Liver as a Potential Surrogate for Waist Circumference in the Diagnosis of Metabolic Syndrome: A Population-Based Study among Chinese Adults

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Boren Jiang ◽  
Ting Gu ◽  
Kun Zhou ◽  
Yanjun Zheng ◽  
Yuyu Guo ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Metabolic Disorder ◽  
Surrogate Marker ◽  
Population Based ◽  
Model Assessment ◽  
Chinese Adults ◽  
Severe Insulin Resistance ◽  
Logistic Regression Models

Increased waist circumference (WC) is an essential component of metabolic syndrome (MetS). Asians have been found to have more intra-abdominal adipose tissue than Caucasians, in spite of having smaller WC. The purpose of this study was to explore whether NAFLD could be used as a surrogate for MetS diagnosis in the normal WC population. A total of 9694 Chinese residents were selected from SPECT-China, a population-based survey of Chinese adults aged ≥ 18 years in East China. Insulin resistance was calculated by the homeostatic model assessment for insulin resistance (HOMA-IR). MetS z-score was used to evaluate the degree of total metabolic disorder. Logistic regression models were used to obtain the associations between different categories and metabolic syndrome (MetS) components. The prevalence of NAFLD was 27.6%, in which 35.2% were without abnormal WC. Subjects with only NAFLD had similarly severe insulin resistance and OR for clustering of MetS components compared with those with only abnormal WC. A considerable number of NAFLD cases, although had severe metabolic disorder, would not be detected by the current MetS definition. NAFLD could be used as a potential surrogate marker for the diagnosis of MetS in normal WC population.

scholarly journals Plasma Carboxy-Terminal Provasopressin (Copeptin): A Novel Marker of Insulin Resistance and Metabolic Syndrome

2009 ◽  
Vol 94 (7) ◽  
pp. 2558-2564 ◽  
Author(s):  
Umer Saleem ◽  
Mahyar Khaleghi ◽  
Nils G. Morgenthaler ◽  
Andreas Bergmann ◽  
Joachim Struck ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Odds Ratio ◽  
Density Lipoprotein ◽  
Model Assessment ◽  
Cross Sectional ◽  
Logistic Regression Models ◽  
Bottom Quartile ◽  
Novel Biomarkers ◽  
Carboxy Terminal

Context: Stress-mediated hypothalamic-pituitary-adrenal axis activation, regulated by arginine vasopressin (AVP), may have a role in the pathophysiology of metabolic syndrome (MetSyn). Objective: The objective of the study was to investigate whether plasma C-terminal provasopressin fragment (copeptin), a surrogate for circulating AVP, was associated with measures of insulin resistance and presence of MetSyn. Design, Setting, and Participants: This was a multicenter, community-based study, investigating novel biomarkers for vascular disease. Participants included 1293 African-Americans (AA) (64 ± 9 yr) and 1197 non-Hispanic whites (NHW) (59 ± 10 yr) belonging to hypertensive sibships. Main Outcome Measures: Plasma copeptin levels were measured by an immunoluminometric assay. MetSyn was defined per Adult Treatment Panel III criteria. Generalized estimating equations were used to assess whether plasma copeptin was associated with measures of insulin resistance and MetSyn. Results: The prevalence of MetSyn was 50% in AA and 49% in NHW. In each group, after adjustment for age and sex, plasma copeptin levels significantly correlated with body mass index, fasting plasma glucose and insulin, homeostasis model assessment of insulin resistance, triglycerides, and (inversely) high-density lipoprotein cholesterol (P < 0.05 for each variable). In multivariable logistic regression models that adjusted for age, sex, smoking, statin use, serum creatinine, education, physical activity, and diuretic use, plasma copeptin levels in the highest quartile were associated with an increased odds ratio of having MetSyn compared with bottom quartile: odds ratio (95% confidence interval) in AA, 2.07 (1.45–2.95); in NHW, 1.74 (1.21–2.5). Conclusions: Our findings indicate a novel cross-sectional association between plasma copeptin and measures of insulin resistance and MetSyn.

scholarly journals Proinsulin to insulin ratio is associated with incident type 2 diabetes but not with vascular complications in the KORA F4/FF4 study

2020 ◽  
Vol 8 (1) ◽  
pp. e001425
Author(s):  
Cornelia Then ◽  
Christina Gar ◽  
Barbara Thorand ◽  
Cornelia Huth ◽  
Holger Then ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Vascular Complications ◽  
Model Assessment ◽  
Incident Type ◽  
The Metabolic Syndrome ◽  
Incident Type 2 Diabetes

IntroductionWe investigated the association of the proinsulin to insulin ratio (PIR) with prevalent and incident type 2 diabetes (T2D), components of the metabolic syndrome, and renal and cardiovascular outcomes in the population-based Cooperative Health Research in the Region of Augsburg (KORA) F4 study (2006–2008)/FF4 study (2013–2014).Research design and methodsThe analyses included 1514 participants of the KORA F4 study at baseline and 1132 participants of the KORA FF4 study after a median follow-up time of 6.6 years. All-cause and cardiovascular mortality as well as cardiovascular events were analyzed after a median time of 9.1 and 8.6 years, respectively. The association of PIR with T2D, renal and cardiovascular characteristics and mortality were assessed using logistic regression models. Linear regression analyses were used to assess the association of PIR with components of the metabolic syndrome.ResultsAfter adjustment for sex, age, body mass index (BMI), and physical activity, PIR was associated with prevalent (OR: 2.24; 95% CI 1.81 to 2.77; p<0.001) and incident T2D (OR: 1.66; 95% CI 1.26 to 2.17; p<0.001). PIR was associated with fasting glucose (β per SD: 0.11±0.02; p<0.001) and HbA1c (β: 0.21±0.02; p<0.001). However, PIR was not positively associated with other components of the metabolic syndrome and was even inversely associated with waist circumference (β: −0.22±0.03; p<0.001), BMI (β: −0.11±0.03; p<0.001) and homeostatic model assessment of insulin resistance (β: −0.22±0.02; p<0.001). PIR was not significantly associated with the intima-media thickness (IMT), decline of kidney function, incident albuminuria, myocardial infarction, stroke, cardiovascular or all-cause mortality.ConclusionsIn the KORA F4/FF4 cohort, PIR was positively associated with prevalent and incident T2D, but inversely associated with waist circumference, BMI and insulin resistance, suggesting that PIR might serve as a biomarker for T2D risk independently of the metabolic syndrome, but not for microvascular or macrovascular complications.

scholarly journals Uric acid as a future biomarker in diagnosing metabolic syndrome patients.

2019 ◽  
Vol 26 (11) ◽  
pp. 1911-1915
Author(s):  
Shameela Majeed ◽  
Brig. Rizwan Hashim
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Waist Circumference ◽  
Serum Uric Acid ◽  
Serum Triglyceride ◽  
Military Hospital ◽  
P Value ◽  
Model Assessment ◽  
R Value

Objectives: To determine the possible correlation between raised serum uric acid and various components of metabolic syndrome (Waist circumference, serum triglyceride, plasma HDL-C). Study Design: Descriptive case control. Setting: Army Medical College laboratory, Military Hospital, Rawalpindi. Period: One year (November 2014 to October 2015). Material and Methods: Total of 100 subjects were enrolled in this study. WHO criteria were applied for identifying the patients of metabolic syndrome. Fasting plasma glucose, lipid profile and serum uric acid levels were measured by using colorimetric enzymatic method. The formula of Homeostasis Model Assessment-Insulin Resistance (HOMA-IR) was applied to calculate Insulin resistance. Collected data was analyzed by using SPSS- Window version-17 for statistical analysis. Results: Serum uric acid levels were turned out to be high in metabolic syndrome patients (cases= 6.1±1.3mg/dL) when compared with controls (having no symptoms of MetS=3.6±1.2; p<0.001). Uric acid showed a statistically significant positive association with waist circumference (WC=r-value:0.250; p-value:0.000) and serum triglyceride (TG=r-value:0.341; p-value:0.000). Negative correlation had been found between plasma high-density lipoprotein-cholesterol (HDL-C=r-value: -0.173; p-value:<0.01) with uric acid levels. Conclusion: Serum uric acid levels show a significant association with components of metabolic syndrome making it a powerful biomarker of metabolic syndrome and its various cardiometabolic complications.

scholarly journals Associations of resistin with inflammatory and fibrinolytic markers, insulin resistance, and metabolic syndrome in middle-aged and older Chinese

2008 ◽  
Vol 159 (5) ◽  
pp. 585-593 ◽  
Author(s):  
Qibin Qi ◽  
Jing Wang ◽  
Huaixing Li ◽  
Zhijie Yu ◽  
Xingwang Ye ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Plasminogen Activator Inhibitor ◽  
Population Based ◽  
Model Assessment ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Factor Α

ObjectiveResistin increases insulin resistance (IR) in mice. However, the role of resistin in human disease remains controversial. We aimed to assess plasma resistin levels and their associations with inflammatory and fibrinolytic markers, IR and metabolic syndrome (MetS) among Chinese.Design and methodsPlasma resistin was measured in a population-based cross-sectional survey of 3193 Chinese aged from 50 to 70 years in Beijing and Shanghai.ResultsThe median resistin concentration was 8.60 ng/ml (interquartile range, 5.78–14.00) among all participants, and it was higher in women than in men (P=0.008). Resistin was correlated weakly with body mass index, waist circumference, high-density lipoprotein (HDL) cholesterol (negatively), homeostatic model assessment of IR and tumor necrosis factor-α receptor 2 (TNFR2; r=0.04, 0.07, –0.09 and 0.06 respectively, all P<0.05), and more highly with C-reactive protein (CRP), interleukin (IL)6 and plasminogen activator inhibitor (PAI)1 (r=0.12, 0.12 and 0.21 respectively, all P<0.001), but only HDL cholesterol, CRP, IL6, TNFR2, and PAI1 remained significantly associated with resistin in multiple regression analysis (all P<0.05). Furthermore, elevated resistin levels were associated with the higher prevalence of IR and MetS. However, the significant relationships disappeared after adjustment for inflammatory and fibrinolytic markers especially PAI1.ConclusionsThis study suggests that resistin is more strongly associated with inflammatory and fibrinolytic markers than with obesity or IR status. The associations of resistin with IR and MetS could largely be explained by inflammatory and fibrinolytic markers especially PAI1 levels.

Associations between heart rate variability, metabolic syndrome risk factors, and insulin resistance

2015 ◽  
Vol 40 (7) ◽  
pp. 734-740 ◽  
Author(s):  
Melanie I. Stuckey ◽  
Antti Kiviniemi ◽  
Dawn P. Gill ◽  
J. Kevin Shoemaker ◽  
Robert J. Petrella
Keyword(s):  
Risk Factors ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Standard Deviation ◽  
Waist Circumference ◽  
Frequency Domain ◽  
Model Assessment ◽  
Poincaré Plot

The purpose of this study was to examine differences in heart rate variability (HRV) in metabolic syndrome (MetS) and to determine associations between HRV parameters, MetS risk factors, and insulin resistance (homeostasis model assessment for insulin resistance (HOMA-IR)). Participants (n = 220; aged 23–70 years) were assessed for MetS risk factors (waist circumference, blood pressure, fasting plasma glucose, triglycerides, and high-density lipoprotein cholesterol) and 5-min supine HRV (time and frequency domain and nonlinear). HRV was compared between those with 3 or more (MetS+) and those with 2 or fewer MetS risk factors (MetS–). Multiple linear regression models were built for each HRV parameter to investigate associations with MetS risk factors and HOMA-IR. Data with normal distribution are presented as means ± SD and those without as median [interquartile range]. In women, standard deviation of R–R intervals 38.0 [27.0] ms, 44.5 [29.3] ms; p = 0.020), low-frequency power (5.73 ± 1.06 ln ms2, 6.13 ± 1.05 ln ms2; p = 0.022), and the standard deviation of the length of the Poincaré plot (46.8 [31.6] ms, 58.4 [29.9] ms; p = 0.014) were lower and heart rate was higher (68 [13] beats/min, 64 [12] beats/min; p = 0. 018) in MetS+ compared with MetS–, with no differences in men. Waist circumference was most commonly associated with HRV, especially frequency domain parameters. HOMA-IR was associated with heart rate. In conclusion, MetS+ women had a less favourable HRV profile than MetS– women, but there were no differences in men. HOMA-IR was associated with heart rate, not HRV.

Abstract MP73: Relationship of Insulin Resistance to Prevalence and Progression of Coronary Artery Calcification Beyond Metabolic Syndrome in a General Population

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Masahiro Yamazoe ◽  
Takashi Hisamatsu ◽  
Katsuyuki Miura ◽  
Sayaka Kadowaki ◽  
Maryam Zaid ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Coronary Artery ◽  
General Population ◽  
Coronary Artery Calcification ◽  
Science Studies ◽  
Subclinical Atherosclerosis ◽  
Population Based ◽  
Model Assessment

Introduction: Association between insulin resistance (IR) and prevalence of coronary artery calcification (CAC) has been inconsistent after adjustment for metabolic syndrome (MetS). In addition, relation of IR to progression of CAC has remained unclear. Recent basic science studies have reported that IR could promote atherosclerosis not only through the mechanisms that involve systemic factors such as dyslipidemia and hypertension, but also through the effect of perturbed insulin signaling at the cell level. Therefore we assessed the hypothesis that IR is associated with CAC prevalence or progression independently of MetS components in a general population. Methods: We conducted a population-based study in a random sample of men aged 40-79 years living in Kusatsu City, Shiga, Japan, without prior coronary heart disease (Shiga Epidemiological Study of Subclinical Atherosclerosis; SESSA). IR was determined by homeostasis model assessment of IR index (HOMA-IR). We measured CAC at baseline and five years later with noncontrast computed tomography. CAC prevalence was defined as baseline CAC score > 0, and CAC progression as a change > 2.5 between the square root transformed values of baseline and follow-up CAC scores. Multivariate logistic regression was performed to calculate adjusted odds ratios (OR) and 95% confidence intervals (95% CI) in total participants and in those without diabetes. Results: Of 1022 total participants at baseline (mean age, 64 ± 10 years), CAC prevalence was found in 658 (64.4%), and of 804 participants at follow-up (mean follow-up duration, 4.9 ± 1.3 years), CAC progression in 371 (46.1%). Even after adjustment for MetS components in addition to other confounding factors, higher HOMA-IR was independently associated with CAC prevalence (OR, 1.35; 95% CI, 1.11-1.64; P = 0.003) and CAC progression (OR, 1.44; 95% CI, 1.18-1.74; P < 0.001). In participants without diabetes (N = 807 at baseline, N = 638 at follow-up), we observed similar positive associations of HOMA-IR with CAC prevalence (OR, 1.30; 95% CI 1.05-1.61; P = 0.016) and CAC progression (OR 1.31; 95% CI 1.03-1.67; P = 0.025). In contrast, fasting glucose and hemoglobin A1c were not related to CAC prevalence and progression. Conclusion: In conclusion, higher IR was associated with CAC prevalence and progression independently of MetS components in general men and also in those without diabetes. Adding measuring of IR as routine clinical examination may provide additional predictive value beyond traditional risk assessment especially among population without diabetes.

Abstract 10397: Higher Waist Circumference is the Start of Cardiovascular Structural and Functional Changes in Childhood Obesity

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Kenji Harada ◽  
Yukiko Harada ◽  
Manatomo Toyono
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Waist Circumference ◽  
Fasting Glucose ◽  
Volume Ratio ◽  
Left Ventricular ◽  
Model Assessment ◽  
Functional Changes ◽  
Late Diastole

Background: Higher waist circumference (WC) is associated with cardiovascular disease, however, little is known about the association between WC and cardiovascular functional change in children. The purpose of this study is to examine the relationships between numbers of cardiovascular risk factors and left ventricular (LV) geometry and function in children. Methods: Echocardiography was performed in 311 children aged 7 to 13 years. Left atrial (LA) diameter, LV end-diastolic volume, ejection fraction, mass, mass-to-volume ratio, and carotid artery intima media-thickness (IMT) were measured. Transmitral peak flow velocities during early and late diastole and mitral annular myocardial velocities during early (Em) and late diastole (Am) were measured. LA systolic force and aortic stiffness were calculated. Lipids, uric acid, fasting glucose, insulin, high sensitive CRP, and homeostasis model assessment for insulin resistance (HOMA-IR) were also assessed. Subjects were divided into 4 groups: A group, WC within normal range; B group, increased WC; C group, increased WC plus any one of the following individual factors of hypertension, dyslipidemia (low high-density lipoprotein-cholesterol and/or high triglyceride), and raised fasting glucose; D group, metabolic syndrome. Results: Compared with the A group, LA diameter, mass/volume ratio, HOMA-IR, and uric acid were greater in the B group (p<0.05 for all). With increasing number of metabolic syndrome disorders (C and D groups), dyslipidemia, increased Hs-CRP, decreased Em/Am, enhanced LA systolic force, increased IMT, and aortic stiffening were observed (Table). Conclusions: Higher WC is associated with insulin resistance, hyperuricemia, and concentric LV hypertrophy. Cardiovascular structural and functional changes become apparent with increasing number of metabolic syndrome disorders. Our findings suggest that primary prevention programs should be initiated in children with increased WC.

Sagittal abdominal diameter resembles waist circumference as a surrogate marker of insulin resistance in adolescents-Brazilian Metabolic Syndrome Study

2018 ◽  
Vol 19 (5) ◽  
pp. 882-891 ◽  
Author(s):  
Cleliani de Cassia da Silva ◽  
Ana Carolina J Vasques ◽  
Mariana P Zambon ◽  
Daniella F Camilo ◽  
Ana Maria De Bernardi Rodrigues ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Surrogate Marker ◽  
Sagittal Abdominal Diameter

scholarly journals Increased Prevalence of Metabolic Syndrome Associated with Rheumatoid Arthritis in Patients without Clinical Cardiovascular Disease

2010 ◽  
Vol 38 (1) ◽  
pp. 29-35 ◽  
Author(s):  
CYNTHIA S. CROWSON ◽  
ELENA MYASOEDOVA ◽  
JOHN M. DAVIS ◽  
ERIC L. MATTESON ◽  
VERONIQUE L. ROGER ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Blood Pressure ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Waist Circumference ◽  
Health Assessment ◽  
Population Based ◽  
Logistic Regression Models ◽  
Large Joint ◽  
History Of

Objective.To examine whether patients with rheumatoid arthritis (RA) with no overt cardiovascular disease (CVD) have a higher prevalence of metabolic syndrome (MetS) than subjects without RA or CVD. We also examined whether RA disease characteristics are associated with the presence of MetS in RA patients without CVD.Methods.Subjects from a population-based cohort of patients who fulfilled 1987 American College of Rheumatology criteria for RA between January 1, 1980, and December 31, 2007, were compared to non-RA subjects from the same population. All subjects with any history of CVD were excluded. Waist circumference, body mass index (BMI), and blood pressure were measured during the study visit. Data on CVD, lipids, and glucose measures were ascertained from medical records. MetS was defined using NCEP/ATP III criteria. Differences between the 2 cohorts were examined using logistic regression models adjusted for age and sex.Results.The study included 232 RA subjects without CVD and 1241 non-RA subjects without CVD. RA patients were significantly more likely to have increased waist circumference and elevated blood pressure than non-RA subjects, even though BMI was similar in both groups. Significantly more RA patients were classified as having MetS. In RA patients, MetS was associated with Health Assessment Questionnaire Disability Index, large-joint swelling, and uric acid levels, but not with C-reactive protein or RA therapies.Conclusion.Among subjects with no history of CVD, patients with RA are more likely to have MetS than non-RA subjects. MetS in patients with RA was associated with some measures of disease activity.

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.

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