scholarly journals Anthropometric parameters’ cut-off points and predictive value for metabolic syndrome in women from Cartagena, Colombia

2014 ◽  
Vol 56 (2) ◽  
pp. 146 ◽  
Author(s):  
Gustavo José Mora-García ◽  
Doris Gómez-Camargo ◽  
Enrique Mazenett ◽  
Ángelo Alario ◽  
Álvaro Fortich ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Latin American ◽  
Predictive Value ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Adult Women ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Body Adiposity ◽  
Cartagena De Indias

Objective. To estimate anthropometric parameters’ (APs) cut-off points and association for metabolic syndrome (MetS). Materials and methods. A cross-sectional study was car­ried out with a total of 434 adult women from Cartagena de Indias, Colombia, in 2012. APs measured were waist circumference (WC), body mass index (BMI), body adiposity index (BAI), waist-hip ratio (WHR) and waist-height ratio (WHtR). Cut-off points were estimated by a receiver op­erating characteristic curve (ROC). Logistic regression was applied to estimate possible associations. Results. Cut-off points for WC, BMI, BAI, WHR and WHtR were 85 cm, 28 kg/m2, 39%, 0.80 and 56, respectively. Only WHtR was associated to MetS (OR=1.11, CI95% [1.07-1.15]). Conclu­sion. WC cut-off point was higher than those proposed for Latin-American women by the Joint Interim Statement (JIS). WHtR had a low predictive value for MetS.

scholarly journals Neck Circumference, a Novel Predictor of Overweight/ Obesity in School Children in Pokhara

Med Phoenix ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 32-39
Author(s):  
Manisha Maskey ◽  
KK Dutta Gupta ◽  
Meraj Ahmed
Keyword(s):  
Waist Circumference ◽  
School Children ◽  
Good Predictor ◽  
Central Obesity ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Neck Circumference ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
High Bmi

Background: Calculating BMI in an individual is a standard anthropometric procedure to estimate overweight/obesity. But it has been observed to be a bad predictor of central obesity. On the other hand, waist circumference, in many studies, has been found to be a good predictor of central obesity but not so frequently used because of tendency to vary throughout the day. In the recent years, NC has been found to have a good correlation with both BMI and WC. The aim of this study was to find out whether neck circumference is a good predictor of Overweight/Obesity or not. Methods: This was a cross sectional study carried out among the school children, aged 12 to 15 years, in Pokhara city, Nepal. In total, 408 students, 238 males and 170 females were screened. Anthropometric markers of obesity measured: included body mass index (BMI), waist circumference (WC), and compared with neck circumference (NC) of the same subjects. Pearson’s correlation test was used to see the correlation between NC with BMI and WC, and receiver operating characteristic curve analysis was used to determine the best cut off value of neck circumference in predicting high BMI. Results: Among 408 students, 238 (58.3%) were male and 170 (41.7%) were female. Among them 37 (9.1%) were overweight and 32 (7.8%) were obese. All the anthropometric parameters were significantly higher in cases, except height in male, than in controls. NC was significantly correlated with age, BMI, and waist circumference in both boys and girls. The best cut-off value of neck circumference by ROC to identify boys with a high BMI was 29.5 with sensitivity of (76%), specificity (54%), and for girls was 28.5 with sensitivity of (97%), specificity (48%). Conclusion: Statistically significant positive correlation was found between NC with BMI and WC. The value of NC as a screening tool has been found comparably lower in compare to WC.

scholarly journals Correlation of Uric Acid Levels and Parameters of Metabolic Syndrome

2017 ◽  
pp. 481-487 ◽  
Author(s):  
L. CIBIČKOVÁ ◽  
K. LANGOVÁ ◽  
H. VAVERKOVÁ ◽  
V. KUBÍČKOVÁ ◽  
D. KARÁSEK
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Uric Acid ◽  
Hdl Cholesterol ◽  
Cross Sectional Study ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Hypertriglyceridemic Waist ◽  
Low Hdl ◽  
Hypertriglyceridemic Waist Phenotype

Hyperuricemia has been described as associated with the risk of development metabolic syndrome; however the relationship between the uric acid level and particular parameters of metabolic syndrome remained unclear. We performed a cross-sectional study on a cohort of 833 dyslipidemic patients and correlated their levels of uric acid with parameters of insulin resistance, lipid metabolism, C-reactive protein, anthropometric parameters. We also defined patients with hypertriglyceridemic waist phenotype and compered their uric acid levels with those without this phenotype. We found that levels of uric acid are associated with parameters of metabolic syndrome. Specifically, dyslipidemia characteristic for metabolic syndrome (low HDL cholesterol and high triglycerides) correlates better with uric acid levels than parameters of insulin resistance. Also waist circumference correlates better with uric acid levels than body mass index. Patients with hypertriglyceridemic waist phenotype had higher levels of uric acid when compared with patients without this phenotype. Serum uric acid levels are even in low levels linearly correlated with parameters of metabolic syndrome (better with typical lipid characteristics than with parameters of insulin resistance) and could be associated with higher cardiovascular risk.

scholarly journals Lung ultrasound for the diagnosis of cystic fibrosis pulmonary exacerbation

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maryam Hassanzad ◽  
Arda Kiani ◽  
Atefeh Abedini ◽  
Hoseinali Ghaffaripour ◽  
Habib Emami ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Lung Ultrasound ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Pulmonary Exacerbation ◽  
High Resolution Computed Tomography ◽  
Cross Sectional ◽  
Pleural Thickening

Abstract Background High-resolution computed tomography (HRCT) is the gold standard for the evaluation of cystic fibrosis (CF) lung disease; however, lung ultrasound (LUS) is being increasingly used for the assessment of lung in these patients due to its lower cost, availability, and lack of irradiation. We aimed to determine the diagnostic performance of LUS for the evaluation of CF pulmonary exacerbation. Methods This cross-sectional study included patients with CF pulmonary exacerbation admitted to Masih Daneshvari Hospital, Tehran, Iran, from March 21, 2020 to March 20, 2021. Age, gender, and body mass index (BMI) of the patients were recorded. All patients underwent chest X-ray (CXR), HRCT, and LUS on admission. Pleural thickening, atelectasis, air bronchogram, B-line, and consolidation were noted in LUS and then compared with the corresponding findings in CXR and HRCT. Taking HRCT findings as reference, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy (DA) of LUS and CXR for the detection of each pulmonary abnormality were determined. Results Of the 30 patients included in this study, with a mean age of 19.62 ± 5.53 years, 14 (46.7%) were male. Of the 15 patients aged 2–20 years, BMI was below the 5th percentile in 10 (66.7%), within the 5–10 percentiles in 1 (6.7%), 10–25 percentiles in 3 (20%), and 25-50 percentiles in 1 (6.7%). The mean BMI for 15 patients > 20 years was 18.03 ± 2.53 kg/m2. LUS had better diagnostic performance compared to CXR for the detection of air bronchogram, consolidation, and pleural thickening (area under the receiver operating characteristic curve [AUROC]: 0.966 vs. 0.483, 0.900 vs. 0.575, and 0.656 vs. 0.531, respectively). Also, LUS was 100% and 96.7% specific for the diagnosis of pleural effusion and atelectasis, respectively. Conclusions LUS appears to be superior to CXR and comparable with HRCT for the evaluation of CF pulmonary exacerbation, especially in terms of air bronchogram and consolidation detection. LUS can be used to lengthen the HRCT evaluation intervals in this regard or utilized along with HRCT for better evaluation of CF pulmonary exacerbation.

Ratio of height to thyromental distance: a comparison with Mallampati and Upper lip Bite test for predicting difficult intubation in Pakistani population

2021 ◽  
pp. 1-15
Author(s):  
Saman Tauheed Ali ◽  
Khalid Samad ◽  
Syed Amir Raza ◽  
Muhammad Qamarul Hoda
Keyword(s):  
Predictive Value ◽  
Characteristic Curve ◽  
Cross Sectional Study ◽  
Difficult Laryngoscopy ◽  
University Hospital ◽  
Upper Lip ◽  
Cross Sectional ◽  
Elective Surgical Procedures ◽  
Lehane Grade ◽  
Sensitivity Specificity

Objectives: We conducted this study to compare the accuracy of three diagnostic tests; ratio of height to thyromental distance (RHTMD), Modified Mallampati Test (MMT) and Upper Lip Bite Test (ULBT) in predicting difficult laryngoscopy using Cormack and Lehane grade as gold standard.Methods: This study was conducted in Aga Khan University Hospital, Karachi. Based on calculated sample size, 383 patients who required endotracheal intubation for elective surgical procedures were enrolled with consecutive sampling techniques during August 2014 to August 2015 for this cross-sectional study. Primary investigator used RHTMD, ULBT, and MMT for assessing the airway and correlated with laryngoscopic view.Results: A total of 383 patients were incorporated in this research, out of which 59(15.4%) classified as difficult laryngoscopy based on Cormack and Lehane (CL) grading. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of RHTMD (84.7%, 90.1%, 60.9%, 97%, 89.3%) and ULBT (83.1%, 89.2%, 58.3%, 96.7%, 88.3%) values were highest as compared to MMT (30.5%, 84.3%, 26.1%, 86.9%, 79.9%). The area under a receiver-operating characteristic curve (AUC of ROC curve) for ULBT and RHTMD was significantly more than for MMT (P<0.01). RHTMD and ULBT both are acceptable alternatives for prediction of difficult laryngoscopy as a simple, single bed-side test. Continuous...

PREVALENCE OF METABOLIC SYNDROME IN COPD CASES IN CENTRAL INDIA AND ITS CORRELATION WITH BMI

2021 ◽  
pp. 73-75
Author(s):  
Aditya Tejwani ◽  
Lokendra Dave ◽  
Anubhav Agrawal ◽  
Simmi Dube
Keyword(s):  
Metabolic Syndrome ◽  
Adult Population ◽  
Central India ◽  
Cross Sectional Study ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Middle Income ◽  
Institutional Ethics ◽  
Copd Patients ◽  
Gandhi Medical College

BACKGROUND: COPD is the third leading cause of death worldwide with more than 90% of COPD deaths occuring in low and middle income countries. While metabolic syndrome is a cluster of the most dangerous cardiovascular risk factors , dened to be associated with prothrombotic and proinammatory states. About 20%- 25% adult population of the world have Metabolic syndrome and are three times more likely to have coronary artery disease or stroke . Increasing evidence shows association between Metabolic Syndrome in COPD. However, the frequency of Metabolic Syndrome and its individual components are not still been clearly shown especially in Indian population in central India . METHODS: This was a cross sectional study conducted at Department of Respiratory Medicine, Gandhi Medical College & Hamidia hospital, Bhopal. 100 spirometrically conrmed COPD cases were enrolled after permission from institutional ethics committee . Detailed history , clinical examination , laboratory parameters and anthropometric parameters were taken. RESULTS: Mean age of patients with COPD was 60.34±10.39 years .Mean weight, height and BMI of patients was 55.86±9.43 2. 2 kg, 160.47±7.58 m and 21.65±3.01kg/m .Majority - 57% patients had normal BMI (18.5 to 22.9 kg/m ). About 25% and 11% patients were overweight and underweight respectively. Metabolic syndrome was found to be present in 32% of the patients with COPD. BMI of patients with metabolic syndrome was signicantly higher as compared to COPD patients without metabolic syndrome (p<0.01). CONCLUSION: The prevalence of metabolic syndrome in COPD was 32% and BMI in COPD patients with metabolic syndrome was signicantly higher than those without metabolic syndrome .

scholarly journals Association and Predictive Value Analysis for Resting Heart Rate and Diabetes Mellitus on Cardiovascular Autonomic Neuropathy in General Population

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Zi-Hui Tang ◽  
Fangfang Zeng ◽  
Zhongtao Li ◽  
Linuo Zhou
Keyword(s):  
General Population ◽  
Predictive Value ◽  
Large Scale ◽  
Reference Group ◽  
Characteristic Curve ◽  
Predictive Performance ◽  
Population Based ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Value Analysis

Background.The purpose of this study was to evaluate the predictive value of DM and resting HR on CAN in a large sample derived from a Chinese population.Materials and Methods.We conducted a large-scale, population-based, cross-sectional study to explore the relationships of CAN with DM and resting HR. A total of 387 subjects were diagnosed with CAN in our dataset. The associations of CAN with DM and resting HR were assessed by a multivariate logistic regression (MLR) analysis (using subjects without CAN as a reference group) after controlling for potential confounding factors. The area under the receiver-operating characteristic curve (AUC) was used to evaluate the predictive performance of resting HR and DM.Results.A tendency toward increased CAN prevalence with increasing resting HR was reported (Pfor trend<0.001). MLR analysis showed that DM and resting HR were very significantly and independently associated with CAN (P<0.001for both). Resting HR alone or combined with DM (DM-HR) both strongly predicted CAN (AUC = 0.719, 95% CI 0.690–0.748 for resting HR and AUC = 0.738, 95% CI 0.710–0.766 for DM-HR).Conclusion.Our findings signify that resting HR and DM-HR have a high value in predicting CAN in the general population.

scholarly journals Glycated LDL-C and glycated HDL-C in association with adiposity, blood and atherogenicity indices in metabolic syndrome patients with and without prediabetes

2018 ◽  
Vol 9 (10) ◽  
pp. 311-323 ◽  
Author(s):  
Rawan Mohammad Al Saudi ◽  
Violet Kasabri ◽  
Randa Naffa ◽  
Nailya Bulatova ◽  
Yasser Bustanji
Keyword(s):  
Metabolic Syndrome ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Metabolic Disturbances ◽  
Significant Discrepancy ◽  
Cross Sectional ◽  
Hematological Indices ◽  
Lymphocyte Ratio ◽  
Body Adiposity

Background: The aim of the study was to compare and correlate glycated high-density lipoprotein (GHDL-C) and glycated low-density lipoprotein (GLDL-C) plasma levels with adiposity indices [weight/hip ratio (WHR) and body adiposity index (BAI)], lipid ratios and hematological indices [platelet/lymphocyte ratio (PLR), monocyte/lymphocyte ratio (MLR)]. Methods: This was a cross-sectional study of 30 nondiabetic metabolic syndrome (MetS) patients, 30 prediabetic or type 2 diabetes mellitus (T2DM) patients and 30 normoglycemic controls. Results: Remarkably both GHDL-C and GLDL-C levels lacked any intergroup statistically significant discrepancy in either MetS or MetS-pre/T2DM versus control ( p > 0.05). Unlike GLDL-C/LDL-C ratios for either MetS groups; there were highly significant intergroup differences in the means of GHDL-C/HDL-C ratios when comparing both nondiabetic MetS and MetS-pre/T2DM groups versus controls ( p = 0.001). In MetS patients; GHDL-C and GLDL-C proportionally correlated with WHR ( p < 0.05). Also, MetS GHDL-C correlated inversely with MLR and monocytes ( p < 0.05). In MetS-pre/T2DM; GLDL-C directly correlated with BAI, platelet count and PLR ( p < 0.05). Conclusion: GLDL-C and GHDL-C are dysfunctional glucolipotoxicity lipoproteins and may present putatively surrogate biomarkers for prediction/prevention of metabolic disturbances.

scholarly journals The Association of Thyroid Nodules with Metabolic Status: A Cross-Sectional SPECT-China Study

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Yi Chen ◽  
Chunfang Zhu ◽  
Yingchao Chen ◽  
Ningjian Wang ◽  
Qin Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Central Obesity ◽  
Thyroid Nodules ◽  
Cross Sectional Study ◽  
Metabolic Status ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Nonalcoholic Fatty Liver ◽  
Imaging Characteristics ◽  
The Status

Purpose. The aim of this study was to investigate the association of thyroid nodules (TNs) and their ultrasound (US) characteristics related to malignancy with metabolic status. Methods. The data were obtained from a cross-sectional study (SPECT-China, 2014-2015). The study included 9898 participants older than 18 years. Participants underwent several checkups, which included the measurement of anthropometric parameters, blood pressure, TSH levels, glucose, and lipid profiles. TN and nonalcoholic fatty liver disease (NAFLD) were diagnosed by US. TN US characteristics, including microcalcification and a taller-than-wide shape, were recorded. Results. Participants with TN [TN(+)] had a higher prevalence of metabolic syndrome (Met-S), obesity, central obesity, hyperlipidaemia, diabetes, hypertension, and NAFLD, especially women (all P≤0.001). After full adjustment, logistic regression analysis indicated that metabolic syndrome, obesity, central obesity, and hyperlipidaemia were all independent risk factors for the increased prevalence of TN in both genders (P<0.05). In terms of TN US imaging characteristics associated with malignancy, being female with obesity, central obesity, and NAFLD had 1.91-fold, 2.09-fold, and 1.75-fold increased risks of developing a taller-than-wide nodule (P=0.014, 0.004, and 0.027, resp.). Conclusions. The status of metabolic disorders might be associated with higher risks of TN in both genders. In women, obesity, central obesity, and NAFLD might contribute to the development of a taller-than-wide nodule. The potential role of metabolic status in the pathogenesis of the thyroid nodule and thyroid cancer remains to be elucidated.

scholarly journals Nitric oxide products are not associated with metabolic syndrome

2019 ◽  
Vol 38 (3) ◽  
pp. 361-367 ◽  
Author(s):  
Aleksandra Klisic ◽  
Gordana Kocic ◽  
Nebojsa Kavaric ◽  
Radmila Pavlovic ◽  
Ivan Soldatovic ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Nitric Oxide ◽  
Metabolic Syndrome ◽  
Multivariate Logistic Regression Analysis ◽  
International Diabetes Federation ◽  
Cross Sectional Study ◽  
Oxidative Stress Biomarkers ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Stress Biomarkers

SummaryBackgroundNitric oxide (NO) is oxidative stress biomarker which is regarded as one of the key determinants of energy metabolism and vascular tone. Considering the controversial reports on the association between nitric oxide products (NOx) and metabolic syndrome (MetS), the aim of the current study was to examine that potential relationship. Additionally, we aimed to evaluate a broad spectrum of other oxidative stress biomarkers [i.e., malondialdehyde (MDA), advanced oxidation protein products (AOPP), xanthine oxidoreductase (XOD), xanthine oxidase (XO) xanthine dehydrogenase (XDH)] in relation with MetS.MethodsA total of 109 volunteers (46.8% of them with MetS) were included in this cross-sectional study. Biohemical and anthropometric parameters, as well as blood pressure, were obtained. The MetS was diagnosed according to the International Diabetes Federation criteria.ResultsMultivariate logistic regression analysis showed that XOD (OR=1.011; 95% CI 1.002–1.019; p=0.016), XO (OR=1.014; 95% CI 1.003–1.026; p=0.016), MDA (OR=1.113; 95% CI 1.038–1.192; p=0.003) and AOPP (OR=1.022; 95% CI 1.005–1.039; p=0.012) were the independent predictors of MetS, whereas no association between NOx and MetS was found. As XOD rose for 1 U/L, XO for 1 U/L, MDA for 1 μmol/L and AOPP for 1 T/L, probability for MetS rose for 1.1%, 1.4%, 11.3% and 2.2%, respectively. Adjusted R2for the Model was 0.531, which means that 53.1% of variation in MetS could be explained with this Model.ConclusionUnlike XOD, MDA and AOPP, NOx is not associated with MetS.

scholarly journals Prevalence of Metabolic Syndrome and Urinary Albumin to Creatinine Ratio as a Predictor of Cardiovascular Disease in Metabolic Syndrome Patients

2020 ◽  
Author(s):  
Shahid Iqbal ◽  
Anju Mittal ◽  
Sudeep Kumar ◽  
Sumesh Prasad Sah ◽  
Imran Mustafa ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Uttar Pradesh ◽  
Cross Sectional Study ◽  
Urinary Albumin ◽  
P Value ◽  
Creatinine Ratio ◽  
Anthropometric Parameters ◽  
Cross Sectional ◽  
Urine Albumin

Introduction: Metabolic Syndrome (MetS) is a condition that increases the risk of cardiac disease, diabetes, hypertension and may be associated with microalbuminuria. Aim: To investigate the prevalence of metabolic syndrome and to determine albumin to creatinine ratio as a predictor of cardiovascular disease in metabolic syndrome. Materials and Methods: This was a hospital based cross-sectional study conducted from February 2019 to January 2020 in the Department of Biochemistry and Outpatient Department of Muzaffarnagar Medical College, Muzaffarnagar, Uttar Pradesh. Out of enrolled 795 subjects, 452 were male and 343 were female. The prevalence of metabolic syndrome was calculated on the basis of metabolic syndrome criteria. Anthropometric parameters like age, weight, height, blood pressure and the biochemical parameters including fasting blood sugar, triglyceride, Lipid Accumulation Product (LAP), urinary albumin, serum creatinine and urinary Albumin to Creatinine Ratio were measured in study population. SPSS version 16 was used for statistical analysis and student independent sample t-test was used for comparing differences amongst the variables. A p-value less than 0.05 was considered as statistically significant. Results: Out of 795 subjects, 152 patients (19.12%) were hypertensive, 85 patients (10.69%) were diabetic and 29 patients (3.65%) were hypertensive with diabetic. The prevalence of metabolic syndrome was around 18.11% (144 subjects), out of which 52.78% were female and 47.22% were male. Out of 144 Metabolic Syndrome subjects, 23 subjects were diabetic, 32 were hypertensive, 14 were diabetic with hypertensive and 75 were others. The mean levels of urinary albumin creatinine ratio were increased significantly in metabolic syndrome subjects and the increase in urine Albumin to Creatinine Ratio (uACR) was more in metabolic syndrome subjects having Diabetes and Hypertension both. Conclusion: The present study concluded that the microalbuminuria is associated with metabolic syndrome. The microalbuminuria was found to be more significant in metabolic syndrome subjects who were diabetic with hypertensive as compared to diabetic or hypertensive alone.

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