title: [Gender-specific differences in relative effects of cardiovascular risk factors among rural population].
abstract: OBJECTIVE
  To investigate the prevalence and association of cardiovascular disease and its risk factors in Fangshan District, Beijing.
  
  
  METHODS
  A total of 7 577 rural residents aged over 40 years were surveyed to estimate the prevalence of cardiovascular disease and its risk factors by questionnaire survey, physical examination and biochemical measures. The prevalence odds ratio (POR) was calculated for the association of stroke / coronary heart disease (CHD) with its risk factors in multiple logistic regression models.
  
  
  RESULTS
  Prevalence of CHD, stroke, diabetes, hypertension, dyslipidemia, overweight and obesity was presented as 6.5%, 4.1%, 10.7%, 39.5%, 56.7%, 44.0% and 13.6%, respectively. In the adjusted multiple logistic regression models, hypertension showed stronger association with stroke (POR=2.780, 95%CI: 2.146-3.602), while diabetes had a higher correlation with CHD (POR=2.671, 95%CI: 2.121-3.363). After stratification by gender, significant risk factors for stroke were overweight / obesity (POR=1.652, 95%CI: 1.122-2.433), body mass index (POR=1.048, 95%CI: 1.002- 1.096), systolic blood pressure (POR=1.017, 95%CI: 1.005-1.030) and serum glucose (POR=1.093, 95%CI: 1.048-1.140) in females, whereas dyslipidemia (POR=1.615, 95%CI: 1.124-2.319), total cholesterol (POR=3.932, 95%CI: 1.533-10.086) and high-density lipoprotein cholesterol (POR=0.072, 95%CI: 0.022-0.236) were associated with stroke in males.
  
  
  CONCLUSIONS
  Highly prevalent cardiovascular risk factors aggravated the burden brought by stroke and CHD in the rural population, and the various risk factors for stroke and CHD exhibited heterogeneous contributions among the population with different gender.
authors.affiliation: Department of Epidemiology & Biostatistics, Peking University School of Public Health, Beijing 100191, China.
authors.forename: Xun
authors.initials: X
authors.lastname: Tang
authors.forename: Liu
authors.initials: L
authors.lastname: He
authors.forename: Yang
authors.initials: Y
authors.lastname: Cao
authors.forename: Jin-wei
authors.initials: JW
authors.lastname: Wang
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.forename: Jun
authors.initials: J
authors.lastname: Tian
authors.forename: Jian-jiang
authors.initials: JJ
authors.lastname: Liu
authors.forename: Li-ping
authors.initials: LP
authors.lastname: Yu
authors.forename: Hai-tao
authors.initials: HT
authors.lastname: Xu
authors.forename: Wu-jun
authors.initials: WJ
authors.lastname: Liu
authors.forename: Su-shen
authors.initials: SS
authors.lastname: Wen
authors.forename: Hui-dong
authors.initials: HD
authors.lastname: Dou
authors.forename: Yong-hua
authors.initials: YH
authors.lastname: Hu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000209:etiology; D002681:China / Q000453:epidemiology; D003327:Coronary Disease / Q000453:epidemiology*; D003920:Diabetes Mellitus / Q000453:epidemiology; D005260:Female; D006801:Humans; D006973:Hypertension / Q000453:epidemiology; D008297:Male; D008403:Mass Screening; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors; D012423:Rural Health; D012737:Sex Factors; D020521:Stroke / Q000453:epidemiology*; D011795:Surveys and Questionnaires