Anthropometric indices and their predictive ability on metabolic syndrome in west China

2021 ◽  
Author(s):  
Qinqin Wu ◽  
Ken Qin ◽  
Youjuan Wang ◽  
Hu Nie
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Ability ◽  
Anthropometric Indices ◽  
West China

Predictive Ability of Seven Anthropometric Indices for Cardiovascular Risk Markers and Metabolic Syndrome in Adolescents

2020 ◽  
Vol 66 (4) ◽  
pp. 491-498
Author(s):  
Kellen Cristine Silva ◽  
Natália Santana Paiva ◽  
Franciane Rocha de Faria ◽  
Sylvia do Carmo Castro Franceschini ◽  
Silvia Eloiza Piore
Keyword(s):  
Metabolic Syndrome ◽  
Cardiovascular Risk ◽  
Predictive Ability ◽  
Risk Markers ◽  
Anthropometric Indices

scholarly journals Sex- and Age-Specific Optimal Anthropometric Indices as Screening Tools for Metabolic Syndrome in Chinese Adults

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jia Zhang ◽  
Wenhua Zhu ◽  
Lifeng Qiu ◽  
Lijuan Huang ◽  
Lizheng Fang
Keyword(s):  
Metabolic Syndrome ◽  
Area Under The Curve ◽  
Predictive Ability ◽  
Shape Index ◽  
Screening Tools ◽  
Youden Index ◽  
Chinese Adults ◽  
Anthropometric Indices ◽  
Receiver Operating Characteristic Curves ◽  
Cardiometabolic Risks

Objectives. To compare the predictive ability of six anthropometric indices for identification of metabolic syndrome (MetS) and to determine their optimal cut-off points among Chinese adults. Methods. A total of 59,029 participants were enrolled. Body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) were measured. Receiver-operating characteristic curves analyses were performed to determine the discriminatory power of these indices for the identification of cardiometabolic risks and diagnosis of MetS. The differences in the area under the curve (AUC) values among the indices were evaluated. The Youden index was used to determine the optimal cut-off points. Results. WHtR and BRI exhibited the highest AUC values for identifying MetS and most cardiometabolic risk factors in both sexes, whereas ABSI showed the lowest AUC value. The general optimal cut-off points in women were 23.03 kg/m2 for BMI, 77.25 cm for WC, 0.490 for WHtR, and 3.179 for BRI; those in men were 24.64 kg/m2 for BMI, 87.25 cm for WC, 0.510 for WHtR, and 3.547 for BRI. The AUC values and cut-off points of the indices were also analyzed in each age and BMI category. Conclusions. In Chinese adults, WHtR and BRI showed a superior predictive power for MetS in both sexes, which can be used as simple and effective screening tools for cardiometabolic risks and MetS in clinical practice.

Neck Circumference Cut-Off for Obesity and Metabolic Syndrome in Nigeria

2021 ◽  
Vol 31 (4) ◽  
pp. 501-508
Author(s):  
Taiwo Hussean Raimi ◽  
Bolade Dele-Ojo ◽  
Samuel Ayokunle Dada ◽  
David Daisi Ajayi
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Ability ◽  
Neck Circumference ◽  
University Teaching ◽  
State University ◽  
Anthropometric Indices ◽  
Cross Sectional ◽  
Men And Women ◽  
Cardiometabolic Disorders ◽  
Obesity Indices

Objective: Neck circumference (NC) is a novel tool for diagnosing cardiometabolic disorders. We aimed to determine the NC cut-off for obesity and metabolic syndrome (MS) prediction in Nigeria.Methods: The current study was based on data analysis of 557 staff and students of Ekiti State University/Ekiti State University Teaching Hospital, Ado-Ekiti, Nigeria, who took part in a cross-sectional health screen­ing (August-December 2018). Body mass index (BMI), waist circumference (WC), WHpR (waist-to-hip ratio), WHtR (waist-to-height ratio), systolic and diastolic blood pressure (SBP, DBP) values were determined by standard protocol. Fasting glucose and lipid profile were assayed for, and MS was defined by the harmonized criteria. The predictive ability of NC to identify people with obesity and MS was determined with receiver operating characteristic (ROC) curves.Results: In both men and women, NC had positive correlation (P<.001) with age, weight, BMI, WC, WHpR, WHtR, SBP and DBP. In men and women, the AUC of NC for all the anthropometric indices were sig­nificant (P<.0001). In men, the NC cut-off was 37cm for WHpR, 37.5cm for both BMI and WHtR, 38.3cm for WC, and 40.0cm for MS. In women, the NC cut-off for all the anthropometric indices (except WHpR) and MS was 33cm. In men, NC was as good as other obesity indices in predicting MS (P>.05 for differences in the AUC), but was inferior to BMI, WC and WHtR in women.Conclusion: NC correlates with indices of adiposity and can serve as an alternate index for obesity and MS detection in Nigerians Ethn Dis. 2021;31(4):501-508; doi:10.18865/ed.31.4.501

scholarly journals Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e043952
Author(s):  
Yating Wu ◽  
Hongyu Li ◽  
Xiujuan Tao ◽  
Yanna Fan ◽  
Qinghan Gao ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Predictive Ability ◽  
Roc Curves ◽  
Cross Sectional Study ◽  
Screening Tools ◽  
Volume Index ◽  
Sectional Study ◽  
Anthropometric Indices ◽  
Predictive Capacity ◽  
Cross Sectional

ObjectivesWe aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI).DesignCross-sectional study.SettingNingxia, China.ParticipantsA total of 3860 adults aged 18–88 years from Ningxia, China were recruited by a single stratified cluster random sampling method.MethodsORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately.ResultsThe highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS.ConclusionsBMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.

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.

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