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Journal Abstract Search

800 related items for PubMed ID: 31566527

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  • 3. Optimal cutoff values of waist circumference and the discriminatory performance of other anthropometric indices to detect the clustering of cardiovascular risk factors for metabolic syndrome in Japanese men and women.
    Nakamura K, Nanri H, Hara M, Higaki Y, Imaizumi T, Taguchi N, Sakamoto T, Horita M, Shinchi K, Tanaka K.
    Environ Health Prev Med; 2011 Jan; 16(1):52-60. PubMed ID: 21432217
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  • 5. 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; 40(6):653-661. PubMed ID: 28233232
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  • 9. 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; 85(3):269-274. PubMed ID: 30631139
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  • 10. Should Waist Circumference Cutoffs in the Context of Cardiometabolic Risk Factor Assessment be Specific to Sex, Age, and BMI?
    Ghachem A, Paquin J, Brochu M, Dionne IJ.
    Metab Syndr Relat Disord; 2018 Sep; 16(7):366-374. PubMed ID: 29975594
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  • 11. Waist-to-height ratio is an appropriate index for identifying cardiometabolic risk in Chinese individuals with normal body mass index and waist circumference.
    Zhu Q, Shen F, Ye T, Zhou Q, Deng H, Gu X.
    J Diabetes; 2014 Nov; 6(6):527-34. PubMed ID: 24698481
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  • 12. Anthropometric parameter that best predict metabolic syndrome in South west Nigeria.
    Adejumo EN, Adejumo AO, Azenabor A, Ekun AO, Enitan SS, Adebola OK, Ogundahunsi OA.
    Diabetes Metab Syndr; 2019 Nov; 13(1):48-54. PubMed ID: 30641748
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  • 14. The discriminatory performance of body mass index, waist circumference, waist-to-hip ratio and waist-to-height ratio for detection of metabolic syndrome and their optimal cutoffs among Iranian adults.
    Hajian-Tilaki K, Heidari B, Hajian-Tilaki A, Firouzjahi A, Bagherzadeh M.
    J Res Health Sci; 2014 Nov; 14(4):276-81. PubMed ID: 25503283
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  • 16. Predicting metabolic syndrome by anthropometric measures among adults 35-65 years in the west of Iran; a cross sectional study from an Iranian RaNCD cohort data.
    Hamzeh B, Bagheri A, Pasdar Y, Darbandi M, Rezaeian S, Najafi F, Moradinazar M.
    Diabetes Metab Syndr; 2020 Nov; 14(5):1293-1298. PubMed ID: 32755824
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  • 17. Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio.
    Amirabdollahian F, Haghighatdoost F.
    J Obes; 2018 Nov; 2018():8370304. PubMed ID: 30515323
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  • 18. Comparative analysis of anthropometric indices of obesity as correlates and potential predictors of risk for hypertension and prehypertension in a population in Nigeria.
    Ononamadu CJ, Ezekwesili CN, Onyeukwu OF, Umeoguaju UF, Ezeigwe OC, Ihegboro GO.
    Cardiovasc J Afr; 2018 Nov; 28(2):92-99. PubMed ID: 27701484
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  • 19. Feasibility of body roundness index for identifying a clustering of cardiometabolic abnormalities compared to BMI, waist circumference and other anthropometric indices: the China Health and Nutrition Survey, 2008 to 2009.
    Tian S, Zhang X, Xu Y, Dong H.
    Medicine (Baltimore); 2016 Aug; 95(34):e4642. PubMed ID: 27559964
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  • 20. 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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