Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity

Abdelhamid Kerkadi, Dana Suleman, Lana Abu Salah, Christina Lotfy, Grace Attieh, Hiba Bawadi, Zumin Shi Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, QatarCorrespondence: Abdelhamid Kerkadi Tel +974 4403 4806Fax +974 4403 4801Email abdel.hamid@qu.edu.q...

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Autores principales:	Kerkadi A, Suleman D, Abu Salah L, Lotfy C, Attieh G, Bawadi H, Shi Z
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2020
Materias:	qatar biobank adiposity indices cardiometabolic indicators dual-energy x-ray absorptiometry Specialties of internal medicine RC581-951
Acceso en línea:	https://doaj.org/article/e1bab48b05194ef1b7cfb6c67e43e282
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spelling	oai:doaj.org-article:e1bab48b05194ef1b7cfb6c67e43e2822021-12-02T06:46:29ZAdiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity1178-7007https://doaj.org/article/e1bab48b05194ef1b7cfb6c67e43e2822020-01-01T00:00:00Zhttps://www.dovepress.com/adiposity-indicators-as-cardio-metabolic-risk-predictors-in-adults-fro-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007Abdelhamid Kerkadi, Dana Suleman, Lana Abu Salah, Christina Lotfy, Grace Attieh, Hiba Bawadi, Zumin Shi Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, QatarCorrespondence: Abdelhamid Kerkadi Tel +974 4403 4806Fax +974 4403 4801Email abdel.hamid@qu.edu.qaBackground: In Qatar more than 70% 0f the adults are overweight and obese. Different adiposity assessment methods have been proposed to identify individuals at cardio-metabolic risk.Purpose: This study aimed to compare anthropometric indicators with Dual-energy X-ray absorptiometry (DXA) –derived adiposity indicators in predicting cardio-metabolic risk among Qatari adults.Patients and Methods: A random sample of five hundred and fifty-eight (558) healthy Qatari adults (men and women) aged 20 to 50 years was obtained from Qatar Biobank survey data. Anthropometric data (weight, height, and waist circumference), the DXA-derived data, and cardio-metabolic (CM) risk parameters were analyzed. A Spearman partial correlation coefficient, Receiver Operating Characteristics (ROC) curve and an area under curve (AUC) were used to assess the predicting ability of adiposity indicators for CM risk factors.Results: Adiposity indices (anthropometric and DXA) were significantly correlated with most of the CM indicators (r= − 0.292 to 0.486, p< 0.001). The AUC of waist to height ratio (WHtR) was significantly higher than that of body mass index (BMI) and waist circumference (WC) in the prediction of low high density lipoprotein (HDL) (AUC=0.65, AUC=0.59; AUC=0.64), high low density lipoprotein (LDL) (AUC=0.67; AUC=0.62; AUC=0.66), high cholesterol (AUC=0.66; AUC=0.63; AUC=0.63), and high Homeostatic Model Assessment- (HOMA) (AUC= 0.81; AUC= 0.78; AUC=0.78). Among DXA- parameters, trunk fat had the highest AUCs for total cholesterol (AUC= 0.64, CI=0.56, 0.73), triglycerides and glucose index (TyG) (AUC=0.69, CI=0.64, 0.74), and HOMA (AUC=0.78, CI= 0.73, 0.84).Conclusion: Results of the present study show that adiposity indicators (WC and WHtR) are clinically valuable tools to identify individuals at risk of CVD compared to DXA–derived parameters, while DXA can provide more accurate estimates.Keywords: Qatar Biobank, adiposity indices, cardiometabolic indicators, dual-energy x-ray absorptiometryKerkadi ASuleman DAbu Salah LLotfy CAttieh GBawadi HShi ZDove Medical Pressarticleqatar biobankadiposity indicescardiometabolic indicatorsdual-energy x-ray absorptiometrySpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 13, Pp 175-183 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	qatar biobank adiposity indices cardiometabolic indicators dual-energy x-ray absorptiometry Specialties of internal medicine RC581-951
spellingShingle	qatar biobank adiposity indices cardiometabolic indicators dual-energy x-ray absorptiometry Specialties of internal medicine RC581-951 Kerkadi A Suleman D Abu Salah L Lotfy C Attieh G Bawadi H Shi Z Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity
description	Abdelhamid Kerkadi, Dana Suleman, Lana Abu Salah, Christina Lotfy, Grace Attieh, Hiba Bawadi, Zumin Shi Department of Human Nutrition, College of Health Sciences, QU-Health, Qatar University, Doha, QatarCorrespondence: Abdelhamid Kerkadi Tel +974 4403 4806Fax +974 4403 4801Email abdel.hamid@qu.edu.qaBackground: In Qatar more than 70% 0f the adults are overweight and obese. Different adiposity assessment methods have been proposed to identify individuals at cardio-metabolic risk.Purpose: This study aimed to compare anthropometric indicators with Dual-energy X-ray absorptiometry (DXA) –derived adiposity indicators in predicting cardio-metabolic risk among Qatari adults.Patients and Methods: A random sample of five hundred and fifty-eight (558) healthy Qatari adults (men and women) aged 20 to 50 years was obtained from Qatar Biobank survey data. Anthropometric data (weight, height, and waist circumference), the DXA-derived data, and cardio-metabolic (CM) risk parameters were analyzed. A Spearman partial correlation coefficient, Receiver Operating Characteristics (ROC) curve and an area under curve (AUC) were used to assess the predicting ability of adiposity indicators for CM risk factors.Results: Adiposity indices (anthropometric and DXA) were significantly correlated with most of the CM indicators (r= − 0.292 to 0.486, p< 0.001). The AUC of waist to height ratio (WHtR) was significantly higher than that of body mass index (BMI) and waist circumference (WC) in the prediction of low high density lipoprotein (HDL) (AUC=0.65, AUC=0.59; AUC=0.64), high low density lipoprotein (LDL) (AUC=0.67; AUC=0.62; AUC=0.66), high cholesterol (AUC=0.66; AUC=0.63; AUC=0.63), and high Homeostatic Model Assessment- (HOMA) (AUC= 0.81; AUC= 0.78; AUC=0.78). Among DXA- parameters, trunk fat had the highest AUCs for total cholesterol (AUC= 0.64, CI=0.56, 0.73), triglycerides and glucose index (TyG) (AUC=0.69, CI=0.64, 0.74), and HOMA (AUC=0.78, CI= 0.73, 0.84).Conclusion: Results of the present study show that adiposity indicators (WC and WHtR) are clinically valuable tools to identify individuals at risk of CVD compared to DXA–derived parameters, while DXA can provide more accurate estimates.Keywords: Qatar Biobank, adiposity indices, cardiometabolic indicators, dual-energy x-ray absorptiometry
format	article
author	Kerkadi A Suleman D Abu Salah L Lotfy C Attieh G Bawadi H Shi Z
author_facet	Kerkadi A Suleman D Abu Salah L Lotfy C Attieh G Bawadi H Shi Z
author_sort	Kerkadi A
title	Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity
title_short	Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity
title_full	Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity
title_fullStr	Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity
title_full_unstemmed	Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity
title_sort	adiposity indicators as cardio-metabolic risk predictors in adults from country with high burden of obesity
publisher	Dove Medical Press
publishDate	2020
url	https://doaj.org/article/e1bab48b05194ef1b7cfb6c67e43e282
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Adiposity Indicators as Cardio-Metabolic Risk Predictors in Adults from Country with High Burden of Obesity

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