Literature DB >> 22057734

Projected and observed diabetes epidemics in China and beyond.

Dong Zhao1, Fan Zhao, Yan Li, Zheng Zheng.   

Abstract

Diabetes is one of the major noncommunicable diseases found worldwide. Different researchers have reported the predicted and observed prevalence of diabetes and the number of people with diabetes over different years in China and in other countries. This review provides a new insight into the growing epidemic of diabetes in recent decades and in the coming future by comparing projected and observed prevailing trends of this disease reported in the international literature. The review found that the projected burden of diabetes for China in each time point from 2000 to 2030 underestimated the epidemic of diabetes in terms of the prevalence and the total number of people with the disease. Based on a recent Chinese national survey, the observed prevalence and the total number of people with diabetes in 2008 (9.7% and 92.4 million, respectively) were remarkably higher than that expected for 2009 or 2010 (3.9% and 53.1 million for 2009, and 4.5% and 43.2 million for 2010).The observed 2008 figures were even much higher than the projected prevalence and the number of people with diabetes for 2030. The tendency to underestimate future diabetes epidemics also occurs in many other countries, especially those characterized by low and middle incomes.

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Year:  2012        PMID: 22057734     DOI: 10.1007/s11886-011-0227-9

Source DB:  PubMed          Journal:  Curr Cardiol Rep        ISSN: 1523-3782            Impact factor:   2.931


  18 in total

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  9 in total

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Journal:  BMC Public Health       Date:  2013-06-21       Impact factor: 3.295

3.  Diabetes awareness, treatment, control rates and associated risk factors among Beijing residents in 2011: A cross-sectional survey.

Authors:  Bao-Yu Feng; Chen Huang; Jie Cao; Zhong Dong; Fang-Chao Liu; Li-Nong Ji; Jin-Kui Yang; Gang Li; Jian-Xin Li; Xue-Li Yang; Jin Xie; Kai Fang; Jian-Feng Huang; Dong-Feng Gu
Journal:  Chronic Dis Transl Med       Date:  2016-12-15

4.  Studying the Genetics of Complex Disease With Ancestry-Specific Human Phenotype Networks: The Case of Type 2 Diabetes in East Asian Populations.

Authors:  Jingya Qiu; Jason H Moore; Christian Darabos
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

5.  Efficacy and safety of vildagliptin, Saxagliptin or Sitagliptin as add-on therapy in Chinese patients with type 2 diabetes inadequately controlled with dual combination of traditional oral hypoglycemic agents.

Authors:  Chun-Jun Li; Xiao-Juan Liu; Lian Bai; Qian Yu; Qiu-Mei Zhang; Pei Yu; De-Min Yu
Journal:  Diabetol Metab Syndr       Date:  2014-05-31       Impact factor: 3.320

6.  Associations of blood glucose and prevalent diabetes with risk of cardiovascular disease in 500 000 adult Chinese: the China Kadoorie Biobank.

Authors:  F Bragg; L Li; M Smith; Y Guo; Y Chen; I Millwood; Z Bian; R Walters; J Chen; L Yang; R Collins; R Peto; Y Lu; B Yu; X Xie; Y Lei; G Luo; Z Chen
Journal:  Diabet Med       Date:  2014-02-05       Impact factor: 4.359

7.  Standardization of Type 2 Diabetes Outpatient Expenditure with Bundled Payment Method in China.

Authors:  Guo-Chao Xu; Yun Luo; Qian Li; Meng-Fan Wu; Zi-Jun Zhou
Journal:  Chin Med J (Engl)       Date:  2016-04-20       Impact factor: 2.628

8.  Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study.

Authors:  Kun Wang; Qun-Fang Yang; Xing-Lin Chen; Yu-Wei Liu; Sheng-Shuai Shan; Hua-Bo Zheng; Xiao-Fang Zhao; Chang-Zhong Chen; Cheng-Yun Liu
Journal:  Int J Endocrinol       Date:  2018-12-13       Impact factor: 3.257

9.  Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province, China.

Authors:  Fu-Liang Zhang; Jia-Xin Ren; Peng Zhang; Hang Jin; Yang Qu; Yao Yu; Zhen-Ni Guo; Yi Yang
Journal:  J Diabetes Res       Date:  2021-05-14       Impact factor: 4.011

  9 in total

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