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Journal Abstract Search

476 related items for PubMed ID: 31671800

  • 21. 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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  • 23. Performance of anthropometric indicators as predictors of metabolic syndrome in Brazilian adolescents.
    Oliveira RG, Guedes DP.
    BMC Pediatr; 2018 Feb 07; 18(1):33. PubMed ID: 29415673
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  • 26. Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults.
    Zhang J, Fang L, Qiu L, Huang L, Zhu W, Yu Y.
    Atherosclerosis; 2017 Aug 07; 263():263-271. PubMed ID: 28704699
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  • 29. Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study.
    Wu Y, Li H, Tao X, Fan Y, Gao Q, Yang J.
    BMJ Open; 2021 Jan 31; 11(1):e043952. PubMed ID: 33518525
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  • 32. Validation of Surrogate Anthropometric Indices in Older Adults: What Is the Best Indicator of High Cardiometabolic Risk Factor Clustering?
    Ramírez-Vélez R, Pérez-Sousa MÁ, Izquierdo M, Cano-Gutierrez CA, González-Jiménez E, Schmidt-RioValle J, González-Ruíz K, Correa-Rodríguez M.
    Nutrients; 2019 Jul 24; 11(8):. PubMed ID: 31344803
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  • 33. The feasibility of two anthropometric indices to identify metabolic syndrome, insulin resistance and inflammatory factors in obese and overweight adults.
    Li G, Wu HK, Wu XW, Cao Z, Tu YC, Ma Y, Li BN, Peng QY, Cheng J, Wu B, Zhou Z.
    Nutrition; 2019 Jan 24; 57():194-201. PubMed ID: 30176572
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  • 34. The CUN-BAE, Deurenberg Fat Mass, and visceral adiposity index as confident anthropometric indices for early detection of metabolic syndrome components in adults.
    López-González AA, Jover AM, Martínez CS, Artal PM, Bote SA, Jané BA, Ramírez-Manent JI.
    Sci Rep; 2022 Sep 15; 12(1):15486. PubMed ID: 36109524
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  • 35. [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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  • 38. Assessing metabolic syndrome prediction quality using seven anthropometric indices among Jordanian adults: a cross-sectional study.
    Al-Shami I, Alkhalidy H, Alnaser K, Mukattash TL, Al Hourani H, Alzboun T, Orabi A, Liu D.
    Sci Rep; 2022 Dec 06; 12(1):21043. PubMed ID: 36473903
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  • 39. Usefulness of waist-to-height ratio in screening incident metabolic syndrome among Japanese community-dwelling elderly individuals.
    Kawamoto R, Kikuchi A, Akase T, Ninomiya D, Kumagi T.
    PLoS One; 2019 Dec 06; 14(4):e0216069. PubMed ID: 31034487
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  • 40. 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 Dec 06; 6(1):15-21. PubMed ID: 23014249
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