title: Prevalence of Diabetes and Associated Factors in the Uyghur and Han Population in Xinjiang, 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.
authors.affiliation: 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. gonghaiying2802862@163.com.
authors.forename: Haiying
authors.initials: H
authors.lastname: Gong
authors.affiliation: Xinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China. 13209963010@163.com.
authors.forename: Lize
authors.initials: L
authors.lastname: Pa
authors.affiliation: 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. wangkehope@126.com.
authors.forename: Ke
authors.initials: K
authors.lastname: Wang
authors.affiliation: Xinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China. kawapqi@sina.com.
authors.forename: Hebuli
authors.initials: H
authors.lastname: Mu
authors.affiliation: 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. fionarab@163.com.
authors.forename: Fen
authors.initials: F
authors.lastname: Dong
authors.affiliation: Xinjiang Uyghur Autonomous Region Centre for Disease Control and Prevention, Urumqi 830001, China. Rzwangul@126.com.
authors.forename: Shengjiang
authors.initials: S
authors.lastname: Ya
authors.affiliation: Department of Epidemiology and Statistics, College of Public Health, Jilin University, Changchun, 130021, China. xugd13@mails.jlu.edu.cn.
authors.forename: Guodong
authors.initials: G
authors.lastname: Xu
authors.affiliation: Department of Epidemiology and Statistics, College of Public Health, Xinjiang Medical University, Urumqi 830011, China. zflningning@sina.com.
authors.forename: Ning
authors.initials: N
authors.lastname: Tao
authors.affiliation: 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. panli1716@163.com.
authors.forename: Li
authors.initials: L
authors.lastname: Pan
authors.affiliation: 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. wbpumc@163.com.
authors.forename: Bin
authors.initials: B
authors.lastname: Wang
authors.affiliation: 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@163.com.
authors.forename: Guangliang
authors.initials: G
authors.lastname: Shan
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D044466:Asian People; D001786:Blood Glucose / Q000032:analysis; D002681:China / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000453:epidemiology*; D050171:Dyslipidemias / Q000097:blood / Q000453:epidemiology; D005006:Ethnicity; D005260:Female; D006801:Humans; D006973:Hypertension / Q000097:blood / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000097:blood / Q000453:epidemiology; D015995:Prevalence; D012307:Risk Factors; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL
keywords: Han population; Uyghur population; associated factors; diabetes