title: Epidemiology of prehypertension and associated risk factors in urban adults from 33 communities in China--the CHPSNE study.
abstract: BACKGROUND
  The Seventh Report of The Joint National Committee has recently introduced the prehypertension category of blood pressure (BP) status that needs monitoring and intervention. Little is known about the epidemiology of prehypertension in urban China, so this study aimed at estimating the prevalence of prehypertension and identifying risk factors in urban Chinese adults.
  
  
  RESULTS
  Using a multistage cluster and random sampling method, a representative sample of 25,196 urban adults aged 18-74 years in northeast of China was selected from 2009 to 2010. The survey of BP and associated risk factors was carried out in 33 communities. Multiple logistic regression methods were used to identify risk factors for prehypertension. Overall, 40.5% of urban Chinese adults had prehypertension, with a prevalence of 47.7% and 33.6% in men and women, respectively. Multivariate logistic regression analysis revealed the risk factors of being overweight (adjusted odds ratio [aOR]=1.38, 95% confidence interval [CI]: 1.26-1.52), obesity (aOR=3.94, 95%CI: 2.99-5.20), central obesity (aOR=2.13, 95%CI: 1.96-2.32). Being female, and having a higher education level, higher family income and diet control were protective factors.
  
  
  CONCLUSIONS
  Prehypertension is common among urban residents in China, and is associated with many risk factors. Comprehensive lifestyle modifications need to be taken to decrease the incidence of prehypertension and to prevent prehypertension progressing to hypertension and cardiovascular disease.
authors.affiliation: Division of Neurology, Fourth Affiliated Hospital of China Medical University, Shenyang, PR China.
authors.forename: Xiu-Jun
authors.initials: XJ
authors.lastname: Meng
authors.forename: Guang-Hui
authors.initials: GH
authors.lastname: Dong
authors.forename: Da
authors.initials: D
authors.lastname: Wang
authors.forename: Miao-Miao
authors.initials: MM
authors.lastname: Liu
authors.forename: Yu-Qin
authors.initials: YQ
authors.lastname: Liu
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhao
authors.forename: Wei-Wei
authors.initials: WW
authors.lastname: Deng
authors.forename: Shen
authors.initials: S
authors.lastname: Tian
authors.forename: Xin
authors.initials: X
authors.lastname: Meng
authors.forename: Hai-Yan
authors.initials: HY
authors.lastname: Zhang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D044466:Asian People / Q000706:statistics & numerical data; D016009:Chi-Square Distribution; D002681:China / Q000453:epidemiology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D056128:Obesity, Abdominal / Q000175:diagnosis / Q000453:epidemiology; D016017:Odds Ratio; D050177:Overweight / Q000175:diagnosis / Q000453:epidemiology; D058246:Prehypertension / Q000175:diagnosis / Q000453:epidemiology* / Q000208:ethnology / Q000503:physiopathology; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D012959:Socioeconomic Factors; D014504:Urban Health / Q000706:statistics & numerical data*; D055815:Young Adult