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Prevalence of Diabetes and Associated Factors in the Uyghur and Han Population in Xinjiang, China

Author

Listed:
  • Haiying Gong

    (Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)

  • Lize Pa

    (Xinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China)

  • Ke Wang

    (Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)

  • Hebuli Mu

    (Xinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China)

  • Fen Dong

    (Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)

  • Shengjiang Ya

    (Xinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China)

  • Guodong Xu

    (Department of Epidemiology and Statistics, College of Public Health, Jilin University, Changchun, 130021, China)

  • Ning Tao

    (Department of Epidemiology and Statistics, College of Public Health, Xinjiang Medical University, Urumqi 830011, China)

  • Li Pan

    (Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)

  • Bin Wang

    (Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)

  • Guangliang Shan

    (Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100005, China)

Abstract

Objective : To estimate the prevalence of diabetes and identify risk factors in the Uyghur and Han population in Xinjiang, China. Methods : A cross-sectional study in urban and rural areas in Xinjiang, including 2863 members of the Uyghur population and 3060 of the Han population aged 20 to 80 years, was conducted from June 2013 to August 2013. Data on fasting plasma glucose (FPG) and personal history of diabetes were used to estimate the prevalence of diabetes. Data on demographic characteristics, lifestyle risk factors, and lipid profiles were collected to identify risks factors using the multivariate logistic regression model. Results : In urban areas, the age- and gender-standardized prevalence of diabetes was 8.21%, and the age- and gender-standardized prevalence of diabetes was higher in the Uyghur population (10.47%) than in the Han population (7.36%). In rural areas, the age- and gender-standardized prevalence of diabetes was 6.08%, and it did not differ significantly between the Uyghur population (5.71%) and the Han population (6.59%). The results of the multivariate logistic regression analysis showed that older age, obesity, high triglycerides (TG), and hypertension were all associated with an increased risk of diabetes in the Uyghur and Han population. Urban residence and low high-density lipoprotein cholesterol (HDL-C) were associated with an increased risk of diabetes in the Uyghur population. Being an ex-drinker was associated with an increased risk of diabetes and heavy physical activity was associated with a decreased risk of diabetes in the Han population. Conclusions: Our study indicates that diabetes is more prevalent in the Uyghur population compared with the Han population in urban areas. Strategies aimed at the prevention of diabetes require ethnic targeting.

Suggested Citation

  • Haiying Gong & Lize Pa & Ke Wang & Hebuli Mu & Fen Dong & Shengjiang Ya & Guodong Xu & Ning Tao & Li Pan & Bin Wang & Guangliang Shan, 2015. "Prevalence of Diabetes and Associated Factors in the Uyghur and Han Population in Xinjiang, China," IJERPH, MDPI, vol. 12(10), pages 1-11, October.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:10:p:12792-12802:d:57074
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    References listed on IDEAS

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    1. Shugang Li & Shuxia Guo & Fei He & Mei Zhang & Jia He & Yizhong Yan & Yusong Ding & Jingyu Zhang & Jiaming Liu & Heng Guo & Shangzhi Xu & Rulin Ma, 2015. "Prevalence of Diabetes Mellitus and Impaired Fasting Glucose, Associated with Risk Factors in Rural Kazakh Adults in Xinjiang, China," IJERPH, MDPI, vol. 12(1), pages 1-12, January.
    2. Paul Zimmet & K. G. M. M. Alberti & Jonathan Shaw, 2001. "Global and societal implications of the diabetes epidemic," Nature, Nature, vol. 414(6865), pages 782-787, December.
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