Cut-off values and clinical efficacy of body roundness index and other novel anthropometric indices in identifying metabolic syndrome and its components among Southern-Indian adults

2021 ◽  
Author(s):  
Chiranjeevi Kumar Endukuru ◽  
Girwar Singh Gaur ◽  
Yerrabelli Dhanalakshmi ◽  
Jayaprakash Sahoo ◽  
Balasubramaniyan Vairappan
Keyword(s):  
Metabolic Syndrome ◽  
Clinical Efficacy ◽  
Anthropometric Indices

Metabolic syndrome and anthropometric indices in CTS hands: an electrophysiological study

2021 ◽  
Author(s):  
Mahir Yusifov ◽  
Sezin Alpaydin Baslo ◽  
Betül Tekin ◽  
Mucahid Erdogan ◽  
Oya Ozturk ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Electrophysiological Study ◽  
Anthropometric Indices

scholarly journals Associations of Heavy Metals with Metabolic Syndrome and Anthropometric Indices

Nutrients ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2666 ◽  
Author(s):  
Wei-Lun Wen ◽  
Chih-Wen Wang ◽  
Da-Wei Wu ◽  
Szu-Chia Chen ◽  
Chih-Hsing Hung ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Metabolic Syndrome ◽  
Multivariable Analysis ◽  
Significant Trend ◽  
Volume Index ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index ◽  
Body Adiposity ◽  
Southern Taiwan

Previous studies have revealed associations between heavy metals and extensive health problems. However, the association between heavy metals and metabolic problems remains poorly defined. This study aims to investigate relationships between heavy metals and metabolic syndrome (MetS), lipid accumulation product (LAP), visceral adiposity index (VAI), and anthropometric indices, including body roundness index (BRI), conicity index (CI), body adiposity index (BAI), and abdominal volume index (AVI). We conducted a health survey of people living in southern Taiwan. Six heavy metals were measured: lead (Pb) in blood and nickel (Ni), chromium (Cr), manganese (Mn), arsenic (As), and copper (Cu) in urine. A total of 2444 participants (976 men and 1468 women) were enrolled. MetS was defined according to the Adult Treatment Panel III for Asians. Multivariable analysis showed that participants with high urine Ni (log per 1 μg/L; odds ratio (OR): 1.193; 95% confidence interval (CI): 1.019 to 1.397; p = 0.028) and high urine Cu (log per 1 μg/dL; OR: 3.317; 95% CI: 2.254 to 4.883; p < 0.001) concentrations were significantly associated with MetS. There was a significant trend of a stepwise increase in blood Pb and urine Ni, As, and Cu according to the number of MetS components (from 0 to 5, a linear p ≤ 0.002 for trend). For the determinants of indices, urine Cu was positively correlated with LAP, BRI, CI, and VAI; blood Pb was positively correlated with BRI, BAI, and AVI; urine Ni was positively correlated with LAP. High urine Cu and urine Ni levels were significantly associated with MetS, and there was a significant trend for stepwise increases in blood Pb and urine Ni, As, and Cu, accompanied by an increasing number of MetS components. Furthermore, several indices were positively correlated with urine Cu, urine Ni, and blood Pb.

scholarly journals Lipid Indices vs Anthropometric Indices in Metabolic Syndrome and Type 2 Diabetes Mellitus

2021 ◽  
Vol 8 (6) ◽  
pp. A152-157
Author(s):  
Asha Augusthy ◽  
Suchanda Sahu ◽  
Ashok Kumar Jeppu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Metabolic Syndrome ◽  
Type 2 Diabetes Mellitus ◽  
Visceral Adiposity ◽  
Accumulation Factor ◽  
Visceral Adiposity Index ◽  
Anthropometric Indices ◽  
Adiposity Index

Background: Diabetes mellitus is a metabolic disease known by chronic hyperglycemia which results from defective insulin action and secretion. Metabolic Syndrome consists of a constellation of metabolic abnormalities that confer increased risk of diabetes mellitus. The aim of our study is to find out whether non-invasive, clinically measurable surrogates could be useful in identifying body fat distribution and help predict metabolic syndrome and diabetes risk and to compare the performance of anthropometric indices with lipid indices in identifying metabolic syndrome and diabetes. Methods: 50 individuals with metabolic syndrome ,50 individuals with type 2 diabetes mellitus and 50 controls were selected by purposive sampling technique. For cases and controls history was taken, physical examination was done .Fasting blood sugar, Serum High density lipoprotein and Serum Triglyceride levels were estimated. Body mass index, a body shape index, visceral adiposity index, lipid accumulation factor was calculated. Results: The mean values visceral adiposity index, lipid accumulation factor were significantly increased (p<0.001) in cases compared to controls. Conclusion: Our study concluded that lipid indices visceral adiposity index, lipid accumulation factor is better than anthropometric indices like body mass index, a body shape index in predicting metabolic syndrome and type 2 diabetes mellitus. Anthropometric indices when used should be correlated with metabolic variables and clinical symptoms.

Effect of Curcumin on Serum Cathepsin D in Patients with Metabolic Syndrome

2020 ◽  
Vol 20 (2) ◽  
pp. 116-121
Author(s):  
Leila Shirmohammadi ◽  
Majid Ghayour-Mobarhan ◽  
Maryam Saberi-Karimian ◽  
Mehrdad Iranshahi ◽  
Shima Tavallaie ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cathepsin D ◽  
International Diabetes Federation ◽  
Control Groups ◽  
Anthropometric Indices ◽  
Elisa Kit ◽  
Significant Difference ◽  
Before And After ◽  
Post Trial ◽  
And Control

Background: Inflammation has been shown to accompany Metabolic Syndrome (MetS) and its features. Cathepsin D is one of a proinflammatory mediator. In the current study, we aimed to investigate the effect of curcumin supplementation on serum cathepsin D levels in patients with MetS. Methods: The current study was conducted on 18-65 years old individuals with MetS diagnosed according to the International Diabetes Federation guidelines. A total of 80 participants were randomly divided into treatment and control groups. The first group (n=40) was given 2 capsules containing 500 mg of phosphatidylcholine complex of curcumin, and the other group (n=40) was given two 500 mg placebo capsules for 6 weeks. Before (week 0) and after (week 6) the intervention, anthropometric indices and blood pressure were measured and blood samples were taken. Serum cathepsin D was measured using an ELISA kit. Results: There was no significant difference between treatment and control groups in terms of weight, body mass index, waist circumference and serum cathepsin D levels before and after the intervention. In addition, there was no significant difference between pre- and post-trial values of serum cathepsin D. Conclusion: The present results do not suggest any effect of curcumin on cathepsin D levels in patients with MetS.

Anthropometric indices as predictors of the metabolic syndrome and its components in adolescents

2009 ◽  
Vol 52 (3) ◽  
pp. 402-409 ◽  
Author(s):  
Christian Jung ◽  
Nicole Fischer ◽  
Michael Fritzenwanger ◽  
Hans R. Figulla
Keyword(s):  
Metabolic Syndrome ◽  
Anthropometric Indices ◽  
The Metabolic Syndrome

Increased hip circumference in individuals with metabolic syndrome affects serum nesfatin-1 levels

2019 ◽  
Vol 96 (1140) ◽  
pp. 600-605
Author(s):  
Tuba Tekin ◽  
Betül Çiçek ◽  
Nurefşan Konyalıgil ◽  
İnayet Güntürk ◽  
Cevat Yazıcı ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Body Weight ◽  
Nutritional Status ◽  
Blood Parameters ◽  
Control Group ◽  
Case Group ◽  
Hip Circumference ◽  
Anthropometric Indices ◽  
The Relationship ◽  
Positive Significant Correlation

BackgroundThis case–control study was conducted to investigate the relationship between serum nesfatin-1 levels and nutritional status and blood parameters in patients diagnosed with metabolic syndrome.MethodsThirty patients (case) diagnosed with metabolic syndrome according to National Cholesterol Education Program-Adult Treatment Panel III criteria were included. Thirty healthy subjects (control) matched with patients with metabolic syndrome in terms of age, gender and body mass index were included. Three-day food consumption records were obtained. Anthropometric indices were measured and body composition was determined by bioelectrical impedance method. Biochemical parameters and serum nesfatin-1 levels were measured after 8 hours of fasting.ResultsSerum nesfatin-1 levels were 0.245±0.272 ng/mL in the case group and 0.528±0.987 ng/mL in the control group (p>0.05). There was a positive significant correlation between serum nesfatin-1 levels and body weight, waist and hip circumferences in the case group (p<0.05). Each unit increase in hip circumference measurement affects the levels of nesfatin by 0.014 times. In the control group, there was a positive significant correlation between body weight and serum nesfatin-1 levels (p<0.05). A significant correlation was detected between HbA1c and serum nesfatin-1 levels in the case group (p<0.05). A significant relationship was detected between dietary fibre intake and the serum nesfatin-1 levels in the case group (p<0.05).ConclusionsAnthropometric indices and blood parameters were correlated with serum nesfatin-1 levels in patients with metabolic syndrome. More clinical trials may be performed to establish the relationship between serum nesfatin-1 levels and nutritional status.

scholarly journals The Usefulness of Anthropometric Indices to Identify the Risk of Metabolic Syndrome

Nutrients ◽  
2019 ◽  
Vol 11 (11) ◽  
pp. 2598 ◽  
Author(s):  
Edyta Suliga ◽  
Elzbieta Ciesla ◽  
Martyna Głuszek-Osuch ◽  
Tomasz Rogula ◽  
Stanisław Głuszek ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Waist Circumference ◽  
International Diabetes Federation ◽  
Shape Index ◽  
Polish Population ◽  
Odds Ratios ◽  
Anthropometric Indices ◽  
Body Adiposity ◽  
Waist To Height Ratio ◽  
Definition Of

Despite several papers having been published on the association between adiposity and the risk of metabolic syndrome (MetS), it is still difficult to determine unambiguously which of the indices of nutritional status is the best to identify MetS. The aim of this study was to analyze the ability of six anthropometric indices to identify MetS in the Polish population. The highest odds ratios for the occurrence of MetS, according to International Diabetes Federation (IDF), were noted for the following indices: waist-to-height ratio (WHtR, OR = 24.87) and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE, OR = 17.47) in men and WHtR (OR = 25.61) and body roundness index (BRI, OR = 16.44) in women. The highest odds ratios for the modified definition of MetS (without waist circumference) were found for the following indices: WHtR (OR = 7.32), BRI (OR = 6.57), and CUN-BAE (OR = 6.12) in women and CUN-BAE (OR = 5.83), WHtR (OR = 5.70), and body mass index (BMI, OR = 5.65) in men (p < 0.001 for all). According to the Receiver Operating Characteristic (ROC) analyses conducted for the identification of MetS, defined in accordance with IDF, the largest areas under the curve (AUCs) in men were observed for WHtR and CUN-BAE indices, whereas in women, they were observed for WHtR and BRI. In the analysis carried out for the identification of MetS (according to modified definition, without waist circumference), the AUCs were larger for WHtR and BRI in women, while in men, they were larger for CUN-BAE, BMI, and WHtR. BMI was also characterized by a relatively strong discriminatory power in identifying individuals with MetS. An optimal cut-off point for MetS, in accordance with the conventional definition, for both sexes was the value of BMI = 27.2 kg/m2. The weakest predictor of the syndrome was the ABSI (a body shape index) indicator. The most useful anthropometric indicator for the identification of MetS, both in men and in women in the Polish population, was WHtR. The optimal cut-off points for WHtR equaled 0.56 in men and 0.54 in women.

scholarly journals Correlation between Cholesterol, Triglycerides, Calculated, and Measured Lipoproteins: Whether Calculated Small Density Lipoprotein Fraction Predicts Cardiovascular Risks

2017 ◽  
Vol 2017 ◽  
pp. 1-9 ◽  
Author(s):  
Sikandar Hayat Khan ◽  
Nadeem Fazal ◽  
Athar Abbas Gilani Shah ◽  
Syed Mohsin Manzoor ◽  
Naveed Asif ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Blood Pressure ◽  
Metabolic Syndrome ◽  
Ldl Cholesterol ◽  
Glycated Hemoglobin ◽  
Cardiovascular Risks ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Small Density ◽  
Lipid Parameters

Background. Recent literature in lipidology has identified LDL-fractions to be more atherogenic. In this regard, small density LDL-cholesterol (sdLDLc) has been considered to possess more atherogenicity than other LDL-fractions like large buoyant LDL-cholesterol (lbLDLc). Recently, Srisawasdi et al. have developed a method for calculating sdLDLc and lbLDLc based upon a regression equation. Using that in developing world may provide us with a valuable tool for ASCVD risk prediction. Objective. (1) To correlate directly measured and calculated lipid indices with insulin resistance, UACR, glycated hemoglobin, anthropometric indices, and blood pressure. (2) To evaluate these lipid parameters in subjects with or without metabolic syndrome, nephropathy, and hypertension and among various groups based upon glycated hemoglobin results. Design. Cross-sectional study. Place and Duration of Study. From Jan 2016 to 15 April 2017. Subjects and Methods. Finally enrolled subjects (male: 110, female: 122) were evaluated for differences in various lipid parameters, including measured LDL-cholesterol (mLDLc), HDLc and calculated LDL-cholesterol (cLDLc), non-HDLc, sdLDLC, lbLDLC, and their ratio among subjects with or without metabolic syndrome, nephropathy, glycation index, anthropometric indices, and hypertension. Results. Significant but weak correlation was mainly observed between anthropometric indices, insulin resistance, blood pressure, and nephropathy for non-HDLc, sdLDLc, and sdLDLc/lbLDLc. Generally lipid indices were higher among subjects with metabolic syndrome [{sdLDLc: 0.92 + 0.33 versus 0.70 + 0.29 (p<0.001)}, {sdLDLc/lbLDLc: 0.55 + 0.51 versus 0.40 + 0.38 (p=0.010)}, {non-HDLc: 3,63 + 0.60 versus 3.36 + 0.65 (p=0.002)}]. The fact that the sdLDLc levels provided were insignificant in Kruskall Wallis Test indicated a sharp increase in subjects with HbA1c > 7.0%. Subjects having nephropathy (UACR > 2.4 mg/g) had higher concentration of non-HDLc levels in comparison to sdLDLc [{non-HDLc: 3.68 + 0.59 versus 3.36 + 0.43} (p=0.007), {sdLDLc: 0.83 + 0.27 versus 0.75 + 0.35 (p=NS)}]. Conclusion. Lipid markers including cLDLc and mLDLc are less associated with traditional ASCVD markers than non-HDLc, sdLDLc, and sdLDLc/lbLDLc in predicting metabolic syndrome, nephropathy, glycation status, and hypertension.

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