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Journal Abstract Search

435 related items for PubMed ID: 21432217

  • 1.
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  • 2. 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; 17(10):486-493. PubMed ID: 31566527
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  • 3. The cutoff values of visceral fat area and waist circumference for identifying subjects at risk for metabolic syndrome in elderly Korean: Ansan Geriatric (AGE) cohort study.
    Seo JA, Kim BG, Cho H, Kim HS, Park J, Baik SH, Choi DS, Park MH, Jo SA, Koh YH, Han C, Kim NH.
    BMC Public Health; 2009 Dec 02; 9():443. PubMed ID: 19951442
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  • 4. Appropriate waist circumference cutoff values for persons with multiple cardiovascular risk factors in Japan: a large cross-sectional study.
    Narisawa S, Nakamura K, Kato K, Yamada K, Sasaki J, Yamamoto M.
    J Epidemiol; 2008 Dec 02; 18(1):37-42. PubMed ID: 18305365
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  • 5. Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study.
    Wang H, Liu A, Zhao T, Gong X, Pang T, Zhou Y, Xiao Y, Yan Y, Fan C, Teng W, Lai Y, Shan Z.
    BMJ Open; 2017 Sep 18; 7(9):e016062. PubMed ID: 28928179
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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 18; 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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  • 11. Waist-to-height ratio is a better discriminator of cardiovascular disease than other anthropometric indicators in Kurdish adults.
    Pasdar Y, Moradi S, Moludi J, Saiedi S, Moradinazar M, Hamzeh B, Jafarabadi MA, Najafi F.
    Sci Rep; 2020 Oct 01; 10(1):16228. PubMed ID: 33004896
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  • 12. A waist-to-height ratio of 0.54 is a good predictor of metabolic syndrome in 16-year-old male and female adolescents.
    Vasquez F, Correa-Burrows P, Blanco E, Gahagan S, Burrows R.
    Pediatr Res; 2019 Feb 01; 85(3):269-274. PubMed ID: 30631139
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  • 15. Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency.
    Qing L, Wei R, Chan L, Xiaoya Z, Xin X.
    J Endocrinol Invest; 2017 Jun 01; 40(6):653-661. PubMed ID: 28233232
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  • 16. Evaluation of anthropometric indices for metabolic syndrome in Chinese adults aged 40 years and over.
    He YH, Chen YC, Jiang GX, Huang HE, Li R, Li XY, Ning G, Cheng Q.
    Eur J Nutr; 2012 Feb 01; 51(1):81-7. PubMed ID: 21479941
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  • 17. BMI, waist circumference, and clustering of cardiovascular risk factors in Japanese adults.
    Suka M, Miwa Y, Ono Y, Yanagisawa H.
    Environ Health Prev Med; 2011 Mar 01; 16(2):90-6. PubMed ID: 21432223
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  • 18. Appropriate body mass index and waist circumference cutoffs for middle and older age group in Thailand: data of 19,621 participants from Thai epidemiologic stroke (TES) study.
    Samsen M, Hanchaiphiboolkul S, Puthkhao P, Tantirittisak T, Towanabut S.
    J Med Assoc Thai; 2012 Sep 01; 95(9):1156-66. PubMed ID: 23140032
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  • 19. The hypertriglyceridemic-waist phenotype as a valuable and integrative mirror of metabolic syndrome traits.
    de Cuevillas B, Alvarez-Alvarez I, Riezu-Boj JI, Navas-Carretero S, Martinez JA.
    Sci Rep; 2021 Nov 08; 11(1):21859. PubMed ID: 34750510
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  • 20. The cut-off values of anthropometric indices for identifying subjects at risk for metabolic syndrome in Iranian elderly men.
    Gharipour M, Sadeghi M, Dianatkhah M, Bidmeshgi S, Ahmadi A, Tahri M, Sarrafzadegan N.
    J Obes; 2014 Nov 08; 2014():907149. PubMed ID: 24782923
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