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Journal Abstract Search

235 related items for PubMed ID: 24070685

  • 1. Waist circumference is the best index for obesity-related cardiovascular disease risk in individuals with spinal cord injury.
    Ravensbergen HR, Lear SA, Claydon VE.
    J Neurotrauma; 2014 Feb 01; 31(3):292-300. PubMed ID: 24070685
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  • 2. Waist circumference cutoff identifying risks of obesity, metabolic syndrome, and cardiovascular disease in men with spinal cord injury.
    Gill S, Sumrell RM, Sima A, Cifu DX, Gorgey AS.
    PLoS One; 2020 Feb 01; 15(7):e0236752. PubMed ID: 32726371
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  • 7. DIAGNOSTIC PERFORMANCE OF WAIST CIRCUMFERENCE MEASUREMENTS FOR PREDICTING CARDIOMETABOLIC RISK IN MEXICAN CHILDREN.
    López-González D, Miranda-Lora A, Klünder-Klünder M, Queipo-García G, Bustos-Esquivel M, Paez-Villa M, Villanueva-Ortega E, Chávez-Requena I, Laresgoiti-Servitje E, Garibay-Nieto N.
    Endocr Pract; 2016 Oct 01; 22(10):1170-1176. PubMed ID: 27295014
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  • 8. Comparison of Measures of Adiposity and Cardiovascular Disease Risk Factors Among African American Adults: the Jackson Heart Study.
    Bell RA, Chen H, Saldana S, Bertoni AG, Effoe VS, Hairston KG, Kalyani RR, Norwood AF.
    J Racial Ethn Health Disparities; 2018 Dec 01; 5(6):1230-1237. PubMed ID: 29427252
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  • 9. Anthropometric Cutoffs for Increased Cardiometabolic Risk Among Lebanese Adults: A Cross-Sectional Study.
    Nasreddine L, Bachir N, Kharroubi S, Chamieh MC, Mehio Sibai A, Hwalla N, Naja F.
    Metab Syndr Relat Disord; 2019 Dec 01; 17(10):486-493. PubMed ID: 31566527
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  • 10. CVD-predictive performances of "a body shape index" versus simple anthropometric measures: Tehran lipid and glucose study.
    Bozorgmanesh M, Sardarinia M, Hajsheikholeslami F, Azizi F, Hadaegh F.
    Eur J Nutr; 2016 Feb 01; 55(1):147-57. PubMed ID: 25596850
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  • 11. Waist-to-height ratio (WHtR) and triglyceride to HDL-C ratio (TG/HDL-c) as predictors of cardiometabolic risk.
    Weiler Miralles CS, Wollinger LM, Marin D, Genro JP, Contini V, Morelo Dal Bosco S.
    Nutr Hosp; 2015 May 01; 31(5):2115-21. PubMed ID: 25929382
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  • 12. [Association of obesity indexes with hypertension and dyslipidemia in Chinese adults].
    Fan D, Su C, Du W, Wang H, Wang Z, Chen Y, Zhang B.
    Wei Sheng Yan Jiu; 2018 Nov 01; 47(6):875-882. PubMed ID: 30593325
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  • 13. Performance of Waist-To-Height Ratio, Waist Circumference, and Body Mass Index in Discriminating Cardio-Metabolic Risk Factors in a Sample of School-Aged Mexican Children.
    Aguilar-Morales I, Colin-Ramirez E, Rivera-Mancía S, Vallejo M, Vázquez-Antona C.
    Nutrients; 2018 Dec 01; 10(12):. PubMed ID: 30513720
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  • 14. Association between anthropometric measures and cardiovascular disease (CVD) risk factors in Hainan centenarians: investigation based on the Centenarian's health study.
    Zhu Q, Wang XB, Yao Y, Ning CX, Chen XP, Luan FX, Zhao YL.
    BMC Cardiovasc Disord; 2018 May 02; 18(1):73. PubMed ID: 29716519
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  • 15. Waist circumference and body mass index in Chinese children: cutoff values for predicting cardiovascular risk factors.
    Sung RY, Yu CC, Choi KC, McManus A, Li AM, Xu SL, Chan D, Lo AF, Chan JC, Fok TF.
    Int J Obes (Lond); 2007 Mar 02; 31(3):550-8. PubMed ID: 16953258
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  • 17. Relationship between measures of central and general adiposity with aortic stiffness in the general population.
    Wohlfahrt P, Somers VK, Cifkova R, Filipovsky J, Seidlerova J, Krajcoviechova A, Sochor O, Kullo IJ, Lopez-Jimenez F.
    Atherosclerosis; 2014 Aug 02; 235(2):625-31. PubMed ID: 24968316
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  • 18. Anthropometric measures as predictors of cardiovascular disease risk factors in the urban population of Iran.
    Gharakhanlou R, Farzad B, Agha-Alinejad H, Steffen LM, Bayati M.
    Arq Bras Cardiol; 2012 Feb 02; 98(2):126-35. PubMed ID: 22231916
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  • 19. Waist-to-height ratio, waist circumference and BMI as indicators of percentage fat mass and cardiometabolic risk factors in children aged 3-7 years.
    Sijtsma A, Bocca G, L'abée C, Liem ET, Sauer PJ, Corpeleijn E.
    Clin Nutr; 2014 Apr 02; 33(2):311-5. PubMed ID: 23768783
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  • 20. Comparison of anthropometric measurements in children to predict metabolic syndrome in adolescence: analysis of prospective cohort data.
    Wicklow BA, Becker A, Chateau D, Palmer K, Kozyrskij A, Sellers EA.
    Int J Obes (Lond); 2015 Jul 02; 39(7):1070-8. PubMed ID: 25869598
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