The Metabolic Syndrome in Uygur and Kazak Populations

  1. Weili Yan, PHD1,
  2. Xiaoyan Yang, MD1,
  3. Yujian Zheng, PHD1,
  4. Dongliang Ge, PHD2,
  5. Yuanming Zhang, MD3,
  6. Zimei Shan, BS3,
  7. Ha Simu, MD4,
  8. Musilin Sukerobai, MD5 and
  9. Ren Wang, MD5
  1. 1Division of Occupational and Environmental Health, School of Public Health, Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
  2. 2Georgia Prevention Institute, Medical College of Georgia, Augusta, Georgia
  3. 3Department of Hypertension, First Affiliate Hospital of Xinjiang Medical University, Urumqi, Xinjiang Uygur Autonomous Region, China
  4. 4Cele County Hospital, Hetian, Xinjiang Uygur Autonomous Region, China
  5. 5Kazak Hospital, Aletai, Xinjiang Uygur Autonomous Region, China
  1. Address correspondence and reprint requests to Weili Yan, PhD, School of Public Health, Xinjiang Medical University, 8 Xinyi Rd., Urumqi 830054, Xinjiang Uygur Autonomous Region, China. E-mail: yanweili01{at}yahoo.com.cn

The metabolic syndrome, which has been defined as a clustering of insulin resistance, hypertension, and dyslipidemia (1–4), has become a major public health issue worldwide. Previous studies have shown that the prevalence of hypertension and diabetes was significantly different between the Uygur and Kazak populations, the two major minorities in Xinjiang (5,6). The current study aims to evaluate and compare the epidemiological and clinical features of the metabolic syndrome in the Uygur and Kazak ethnic populations.

RESEARCH DESIGN AND METHODS

In total, 3,015 Uygur subjects (1,301 males and 1,714 females) from rural south Xinjiang and 1,281 Kazak subjects (499 males and 719 females) from suburban north Xinjiang were randomly enrolled by multistage cluster sampling. A set of questionnaires was completed, including demographic information; details of medical history; family history of hypertension, obesity, type 2 diabetes, and stroke; medication use; and lifestyle information. Three blood pressure measurements and …

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