title: [The prevalence and distribution of ideal cardiovascular health behavior in employees of Kailuan Group cohort].
abstract: OBJECTIVE
  To observe the prevalence and distribution of ideal cardiovascular health behavior.
  
  
  METHODS
  Health examination data between 2008 to 2009 from the employees of Kailuan Group were analyzed.
  
  
  RESULTS
  A total of 101 333 subjects took part in the health examination, subjects with previous myocardial infarction (n = 871), stroke (n = 2255), myocardial infarction and stroke (n = 162) and subjects with incomplete examination data (n = 9311) were excluded and 88 534 subjects were included for final analysis [mean age (50.6 ± 12.3) years, male 69 916]. (1) Body mass index (BMI), systolic and diastolic pressure, cholesterol (TC) and triglyceride were significantly higher in males than in females (all P < 0.05), women's income and the education lever were significantly higher than men (P < 0.05). (2) The distribution of ideal cardiovascular health behavior (smoking, BMI, physical exercise, salt intake) was 55.8%, 41.4%, 18.9% and 14.0% respectively among the population; the ideal cardiovascular factors (fasting blood glucose, TC, blood pressure) was 80.9%, 61.8% and 18.5%, respectively. (3) The subjects with distribution of seven, six, five, four ideal cardiovascular health behavior and factors was 0.1%, 1.9%, 9.1%, 20.3%, respectively. (4) Multiple logistic regression analysis showed that female, age < 55 and high education level were associated with the ideal cardiovascular health status with a RR value (95%CI) of 4.52 (4.32 - 4.72), 1.46 (1.39 - 1.53) and 2.23 (2.10 - 2.37), respectively.
  
  
  CONCLUSIONS
  The prevalence of ideal cardiovascular health is extremely low in the study population, most persons were not in the ideal cardiovascular health behavior and factors and female, age < 55 and high education level are linked with ideal cardiovascular health status.
authors.affiliation: Department of Cardiology, Hebei University, Tangshan, China.
authors.forename: Ji-hong
authors.initials: JH
authors.lastname: Shi
authors.forename: Yan-hong
authors.initials: YH
authors.lastname: Hao
authors.forename: Shou-ling
authors.initials: SL
authors.lastname: Wu
authors.forename: Xiao-ming
authors.initials: XM
authors.lastname: Zheng
authors.forename: Cheng
authors.initials: C
authors.lastname: Jin
authors.forename: Jing-sheng
authors.initials: JS
authors.lastname: Gao
authors.forename: Xiu-rong
authors.initials: XR
authors.lastname: Liu
authors.forename: Yun-tao
authors.initials: YT
authors.lastname: Wu
authors.forename: Yu-mei
authors.initials: YM
authors.lastname: Zhang
mesh_terms: D000328:Adult; D000367:Age Factors; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000453:epidemiology* / Q000517:prevention & control*; D002681:China / Q000453:epidemiology; D005260:Female; D015438:Health Behavior; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000453:epidemiology; D012307:Risk Factors; D012737:Sex Factors; D012907:Smoking / Q000453:epidemiology