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Journal Abstract Search

495 related items for PubMed ID: 36034933

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  • 23. 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; 13(1):48-54. PubMed ID: 30641748
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  • 25. Net contribution and predictive ability of the CUN-BAE body fatness index in relation to cardiometabolic conditions.
    Davila-Batista V, Molina AJ, Vilorio-Marqués L, Lujan-Barroso L, de Souza-Teixeira F, Olmedo-Requena R, Arias de la Torre J, García-Martínez L, Álvarez-Álvarez L, Freisling H, Llorca J, Delgado-Rodríguez M, Martin V.
    Eur J Nutr; 2019 Aug; 58(5):1853-1861. PubMed ID: 29948218
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  • 28. Prediction of a new body shape index and body adiposity estimator for development of type 2 diabetes mellitus: The Rural Chinese Cohort Study.
    Han C, Liu Y, Sun X, Luo X, Zhang L, Wang B, Ren Y, Zhou J, Zhao Y, Zhang D, Liu X, Zhang M, Hu D.
    Br J Nutr; 2017 Nov; 118(10):771-776. PubMed ID: 29143718
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  • 33. Comparison of the ability to identify cardiometabolic risk factors between two new body indices and waist-to-height ratio among Chinese adults with normal BMI and waist circumference.
    Liu PJ, Ma F, Lou HP, Zhu YN.
    Public Health Nutr; 2017 Apr; 20(6):984-991. PubMed ID: 27989263
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  • 34. Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study.
    Li Y, Gui J, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Wei H, Li J, Liu M, Hua Y, Zhang L.
    Front Endocrinol (Lausanne); 2023 Apr; 14():1201132. PubMed ID: 37576971
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  • 36. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies.
    Calderón-García JF, Roncero-Martín R, Rico-Martín S, De Nicolás-Jiménez JM, López-Espuela F, Santano-Mogena E, Alfageme-García P, Sánchez Muñoz-Torrero JF.
    Int J Environ Res Public Health; 2021 Nov 04; 18(21):. PubMed ID: 34770120
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  • 39. [Different anthropometric indices and incident risk of hypertension in elderly population: a prospective cohort study].
    Yang J, Wang F, Han X, Yuan J, Yao P, Liang Y, Wei S, Zhang XM, Guo H, Yang HD, He MA.
    Zhonghua Yu Fang Yi Xue Za Zhi; 2019 Mar 06; 53(3):272-278. PubMed ID: 30841666
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  • 40. The most appropriate cut-off point of anthropometric indices in predicting the incidence of metabolic syndrome and its components.
    Farhangiyan Z, Latifi SM, Rashidi H, Shahbazian H.
    Diabetes Metab Syndr; 2019 Mar 06; 13(4):2739-2745. PubMed ID: 31405702
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