title: [The distribution and influential factors of serum high sensitivity C-reactive protein in general population].
abstract: OBJECTIVE
  To observe the distribution and influence factors of serum high sensitivity C-reactive protein (hs-CRP) in general population.
  
  
  METHODS
  In a cross-sectional population survey, a total of 101 510 subjects who were employed by Kailuan Group had been carried out a healthy examination in the period of 2006 to 2007. In the statistical analysis, we observed 91 123 subjects (males 72 805, females 18 318) who had full information and met the inclusion criteria of the study.
  
  
  RESULTS
  (1) The geometric means of hs-CRP were 0.70 mg/L, 0.70 mg/L and 0.73 mg/L in all subjects, males and females, respectively, the 95th percentiles were 6.28 mg/L, 6.20 mg/L and 6.49 mg/L, respectively. The concentrations of hs-CRP increased with age in both males and females (P trend = 0.001). Serum hs-CRP geometric mean was 0.54 mg/L and the 95th percentile was 5.40 mg/L in health group, while the geometric mean was 0.80 mg/L and the 95th percentile was 6.57 mg/L in non-health group. (2) Multiple linear regression analysis showed that concentrations of hs-CRP were positively associated with gender, age, systolic blood pressure, body mass index, total cholesterol, triglycerides, fasting blood glucose, smoking history, history of coronary heart disease and stroke history, but concentrations of hs-CRP were inversely related with diastolic blood pressure, high-density lipoprotein cholesterol and alcohol history.
  
  
  CONCLUSIONS
  Serum concentrations of hs-CRP level increased with age, concentrations of hs-CRP were higher in females than males; a variety of cardiovascular factors effected the concentrations of hs-CRP.
authors.affiliation: Department of Cardiology, Affiliated Kailuan Hospital, North China Coal Medical College, Tangshan 063000, China. Email: drwusl@163.com.
authors.forename: Shou-ling
authors.initials: SL
authors.lastname: Wu
authors.forename: Jin-feng
authors.initials: JF
authors.lastname: Li
authors.forename: Yun
authors.initials: Y
authors.lastname: Li
authors.forename: Cheng
authors.initials: C
authors.lastname: Jin
authors.forename: Li-ye
authors.initials: LY
authors.lastname: Wang
authors.forename: Chun-yu
authors.initials: CY
authors.lastname: Ruan
authors.forename: Jie
authors.initials: J
authors.lastname: Zhu
authors.forename: Na
authors.initials: N
authors.lastname: Wang
authors.forename: Zi-qiang
authors.initials: ZQ
authors.lastname: Zhang
authors.forename: Yan-xiu
authors.initials: YX
authors.lastname: Wang
authors.forename: Jian-li
authors.initials: JL
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D001786:Blood Glucose / Q000378:metabolism*; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000378:metabolism*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D012737:Sex Factors; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D002097:C-Reactive Protein