Dynamic development of metabolic syndrome and its risk prediction in Chinese population: a longitudinal study using Markov model-Reference-Cited by-同舟云学术

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Dynamic development of metabolic syndrome and its risk prediction in Chinese population: a longitudinal study using Markov model

Published:2018-04-02 Issue:1 Volume:10 Page:
ISSN:1758-5996
Container-title:Diabetology & Metabolic Syndrome
language:en
Short-container-title:Diabetol Metab Syndr

Author:

Jia Xiaoxian,Chen Qicai,Wu Peipei,Liu Meng,Chen Xiaoxiao,Xiao Juan,Chen Lili,Zhang Pengpeng,Wang Shumei

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

Link

http://link.springer.com/content/pdf/10.1186/s13098-018-0328-3.pdf

Reference49 articles.

1. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640–5.

2. Kaur J. A comprehensive review on metabolic syndrome. Cardiol Res Pract. 2014;2014:943162.

3. Liu M, Wang J, Jiang B, Sun D, Wu L, Yang S, Wang Y, Li X, He Y. Increasing prevalence of metabolic syndrome in a Chinese elderly population: 2001–2010. PLoS ONE. 2013;8(6):e66233.

4. Tran BT, Jeong BY, Oh J-K. The prevalence trend of metabolic syndrome and its components and risk factors in Korean adults: results from the Korean National Health and Nutrition Examination Survey 2008–2013. BMC Public Health. 2017;17(1):71.

5. Aguilar M, Bhuket T, Torres S, Liu B, Wong RJ. Prevalence of the metabolic syndrome in the United States, 2003–2012. JAMA. 2015;313(19):1973–4.

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