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839 related items for PubMed ID: 31375086

  • 1. Association between anthropometric indicators of obesity and cardiovascular risk factors among adults in Shanghai, China.
    Zhang Y, Gu Y, Wang N, Zhao Q, Ng N, Wang R, Zhou X, Jiang Y, Wang W, Zhao G.
    BMC Public Health; 2019 Aug 02; 19(1):1035. PubMed ID: 31375086
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  • 2. Optimal cut-off values of BMI, waist circumference and waist:height ratio for defining obesity in Chinese adults.
    Zeng Q, He Y, Dong S, Zhao X, Chen Z, Song Z, Chang G, Yang F, Wang Y.
    Br J Nutr; 2014 Nov 28; 112(10):1735-44. PubMed ID: 25300318
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  • 5. References of anthropometric indices of central obesity and metabolic syndrome in Jordanian men and women.
    Al-Odat AZ, Ahmad MN, Haddad FH.
    Diabetes Metab Syndr; 2012 Nov 28; 6(1):15-21. PubMed ID: 23014249
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  • 6. [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 28; 47(6):875-882. PubMed ID: 30593325
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  • 8. Detection of cardiovascular risk factors by anthropometric measures in Tehranian adults: receiver operating characteristic (ROC) curve analysis.
    Mirmiran P, Esmaillzadeh A, Azizi F.
    Eur J Clin Nutr; 2004 Aug 28; 58(8):1110-8. PubMed ID: 15280905
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  • 9. Predicting value of five anthropometric measures in metabolic syndrome among Jiangsu Province, China.
    Tian T, Zhang J, Zhu Q, Xie W, Wang Y, Dai Y.
    BMC Public Health; 2020 Aug 31; 20(1):1317. PubMed ID: 32867710
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  • 10. Waist-to-height ratio and cardiovascular risk factors among Chinese adults in Beijing.
    Cai L, Liu A, Zhang Y, Wang P.
    PLoS One; 2013 Aug 31; 8(7):e69298. PubMed ID: 23874938
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  • 13. 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 31; 17(10):486-493. PubMed ID: 31566527
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  • 19. Comparison of body mass index, waist circumference, conicity index, and waist-to-height ratio for predicting incidence of hypertension: the rural Chinese cohort study.
    Chen X, Liu Y, Sun X, Yin Z, Li H, Deng K, Cheng C, Liu L, Luo X, Zhang R, Liu F, Zhou Q, Wang C, Li L, Zhang L, Wang B, Zhao Y, Zhou J, Han C, Zhang H, Yang X, Pang C, Yin L, Feng T, Zhao J, Zhang M, Hu D.
    J Hum Hypertens; 2018 Mar 31; 32(3):228-235. PubMed ID: 29416119
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