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
2006 ◽  
Vol 32 (5) ◽  
pp. 467-474 ◽  
Author(s):  
B Pannier ◽  
F Thomas ◽  
E Eschwège ◽  
K Bean ◽  
A Benetos ◽  
...  

2014 ◽  
Vol 04 (06) ◽  
pp. 158-166 ◽  
Author(s):  
Deepti A. Lokanath ◽  
Sharada A. Chandrashekariah ◽  
D. Xaviour ◽  
Jayashankar Rao

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Jia Zhang ◽  
Wenhua Zhu ◽  
Lifeng Qiu ◽  
Lijuan Huang ◽  
Lizheng Fang

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.


2021 ◽  
Vol 31 (4) ◽  
pp. 501-508
Author(s):  
Taiwo Hussean Raimi ◽  
Bolade Dele-Ojo ◽  
Samuel Ayokunle Dada ◽  
David Daisi Ajayi

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


2014 ◽  
Vol 233 (1) ◽  
pp. 272-277 ◽  
Author(s):  
Anna Prats-Puig ◽  
Inés Osiniri ◽  
Pilar Soriano-Rodríguez ◽  
Gemma Carreras-Badosa ◽  
José Cristóbal Buñuel-Álvarez ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e043952
Author(s):  
Yating Wu ◽  
Hongyu Li ◽  
Xiujuan Tao ◽  
Yanna Fan ◽  
Qinghan Gao ◽  
...  

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.


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