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[Prevalence and associated factors of diabetes mellitus in children of Han, Uigurs and Kazaks ethnicities in Xinjiang].

AbstractOBJECTIVE:
To investigate the prevalence rates of diabetes mellitus and its associated risk factors in children with Han, Uygur and Kazak ethnicities in Xinjiang.
METHODS:
A cross-sectional random samples involving aged 0 - 17 years were carried out to analyze the prevalence rates and associated risk factors of diabetes mellitus in children of Han, Uigur and Kazak ethnicities from 3 prefectures (Hetian, Kashi and Fuhai) in Xinjiang Autonomous Regions. Diabetes mellitus and impaired fasting glucose (IFG) were defined by the China Diabetes Prevention and Control Standard set in 2007. Data was collected through filling in the questionnaires and results from physical examination and laboratory tests.
RESULTS:
The total prevalence rates of IFG and diabetes mellitus were 0.68% and 0.09%, respectively. Data from logistic regression analysis suggested that overweight and obesity were risk factors for diabetes mellitus in children from Xinjiang, with odds ratio values as 2.844 and 3.963, respectively.
CONCLUSION:
Children with Han, Uygur and Kazak ethnicities in Xinjiang had an overall standardized prevalence rates of diabetes mellitus. IFG were 0.57% and 1.35% lower than the 2004 data from children at same age groups in Beijing and the whole nation, also 0.19% lower then the national rate of 5 - 17 years-old children juvenile diabetes.
AuthorsJing Zhang, Yi-tong Ma, Xiang Xie, Yi-ning Yang, Xiao-mei Li, Xiang Ma, Zhen-yan Fu, Fen Liu, Yang Xiang, You Chen, Zi-xiang Yu, Bang-dang Chen
JournalZhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi (Zhonghua Liu Xing Bing Xue Za Zhi) Vol. 33 Issue 11 Pg. 1130-2 (Nov 2012) ISSN: 0254-6450 [Print] China
PMID23290897 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Topics
  • Adolescent
  • Child
  • Child, Preschool
  • China (epidemiology)
  • Cross-Sectional Studies
  • Diabetes Mellitus (epidemiology)
  • Ethnicity
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Male
  • Prevalence
  • Risk Factors

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