title: [Prevalence of diabetes and related factors in Pengzhou city, Sichuan province].
abstract: OBJECTIVE
  To study the prevalence, treatment and related risk factors of diabetes in Pengzhou city, so as to provide reference for the three-tier related prevention programs.
  
  
  METHODS
  Baseline survey of population of Sichuan province from the China Kadoorie Biobank, was used to analyze the prevalence and treatment of diabetes in Pengzhou city. Logistic regression model was used to analyze the influencing factors on diabetes.
  
  
  RESULTS
  The prevalence rate of diabetes was 3.7% in the 30-79 year-old groups in Pengzhou with the awareness rate, treatment rate and control rate as 45.2%, 36.6% and 17.6%, respectively. The prevalence rate, awareness rate and control rate appeared in the older age groups, high education level group, high income group and non-farming population group, were higher than that seen in the other groups. Factors as older age (OR=5.50, 95%CI: 4.77-6.34), low education (OR=0.43, 95%CI: 0.38-0.49), family with low income (OR=0.86, 95%CI: 0.82-0.90), family history of diabetes (OR=3.15, 95%CI: 2.72-3.65), hypertension (OR=2.94, 95%CI: 2.70-3.21), smoking (OR=2.11, 95% CI: 1.84-2.42), low fruit intake (OR=3.62, 95% CI: 3.23-4.07), sedentary leisure time (OR=1.28, 95% CI: 1.16-1.41), physical activities (OR=2.11, 95% CI: 1.89-2.35), overweight or obesity (OR=2.33, 95% CI: 2.04-2.65), etc. were the risk factors of diabetes.
  
  
  CONCLUSIONS
  Rates related to the awareness, treatment and control of diabetes in Pengzhou city were low. Programs on health education should be strengthened in all the population with contents focusing on healthy lifestyle. Special attention should be paid on the treatment and control of diabetes in the elderly population. Patients with diabetes should follow the standardized management programs.
authors.affiliation: Division of Chronic Disease, Pengzhou Center for Disease Control and Prevention of Sichuan Province, Pengzhou 611930, China.
authors.forename: Q
authors.initials: Q
authors.lastname: Sun
authors.affiliation: Division of Chronic Disease, Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China.
authors.forename: X F
authors.initials: XF
authors.lastname: Chen
authors.affiliation: Sichuan Provincial Center for Disease Control and Prevention, Chengdu 610041, China.
authors.forename: X P
authors.initials: XP
authors.lastname: Wu
authors.affiliation: Pengzhou Center for Disease Control and Prevention of Sichuan Province, Pengzhou 611930, China.
authors.forename: G J
authors.initials: GJ
authors.lastname: Luo
authors.affiliation: Pengzhou Center for Disease Control and Prevention of Sichuan Province, Pengzhou 611930, China.
authors.forename: J G
authors.initials: JG
authors.lastname: Li
authors.affiliation: Division of Chronic Disease, Pengzhou Center for Disease Control and Prevention of Sichuan Province, Pengzhou 611930, China.
authors.forename: H
authors.initials: H
authors.lastname: Wang
authors.affiliation: Division of Chronic Disease, Pengzhou Center for Disease Control and Prevention of Sichuan Province, Pengzhou 611930, China.
authors.forename: X F
authors.initials: XF
authors.lastname: Chen
authors.affiliation: Chinese Academy of Medical Sciences, Beijing 100730, China.
authors.forename: Z
authors.initials: Z
authors.lastname: Bian
authors.affiliation: Chinese Academy of Medical Sciences, Beijing 100730, China.
authors.forename: Y
authors.initials: Y
authors.lastname: Guo
mesh_terms: D000328:Adult; D000368:Aged; D001364:Awareness; D002681:China / Q000453:epidemiology; D003920:Diabetes Mellitus / Q000175:diagnosis / Q000453:epidemiology*; D005260:Female; D006801:Humans; D006973:Hypertension; D007182:Income; D007899:Leisure Activities; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology; D050177:Overweight; D015995:Prevalence; D012307:Risk Factors; D012907:Smoking / Q000453:epidemiology; D011795:Surveys and Questionnaires