title: Impact of mode of transportation on dyslipidaemia in working people in Beijing.
abstract: OBJECTIVE
  This study aims to investigate the association between mode of transportation to work and dyslipidaemia.
  
  
  METHODS
  During the period between January and February 2006, telephone interviews were conducted with 2506 randomly selected urban residents aged 18 years or older in the 8 districts of Beijing, using a multiple stratified random sampling technique. Of the selected individuals, 1024 (40.86%) members of the workforce were subsequently tested for biomarkers (ie, total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C)). Multiple logistic regression modelling was used, adjusted for potential confounders.
  
  
  RESULTS
  The probability of dyslipidaemia in workers who travel to work by bus, car or taxi is higher than that of workers who walk to work, with prevalence odds ratios (PORs) of 1.99 (95% CI 1.33 to 2.97) and 2.21 (95% CI 1.28 to 3.84), respectively. There is no significant difference in the risk of experiencing dyslipidaemia when workers who ride bicycles are compared with those who walk to work (POR = 1.22, 95% CI 0.83 to 1.78).
  
  
  CONCLUSIONS
  These findings indicate that modes of transportation to work are significantly associated with the prevalence of dyslipidaemia. Prevention education should be emphasised among higher-risk people who usually go to work by car, bus or taxi.
authors.affiliation: Capital Medical University, Beijing, China.
authors.forename: X
authors.initials: X
authors.lastname: Guo
authors.forename: Z
authors.initials: Z
authors.lastname: Jia
authors.forename: P
authors.initials: P
authors.lastname: Zhang
authors.forename: S
authors.initials: S
authors.lastname: Yang
authors.forename: W
authors.initials: W
authors.lastname: Wu
authors.forename: L
authors.initials: L
authors.lastname: Sang
authors.forename: Y
authors.initials: Y
authors.lastname: Luo
authors.forename: X
authors.initials: X
authors.lastname: Lu
authors.forename: H
authors.initials: H
authors.lastname: Dai
authors.forename: Z
authors.initials: Z
authors.lastname: Zeng
authors.forename: W
authors.initials: W
authors.lastname: Wang
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D002681:China / Q000453:epidemiology; D050171:Dyslipidemias / Q000097:blood / Q000453:epidemiology*; D015444:Exercise / Q000502:physiology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009784:Occupational Diseases / Q000097:blood / Q000453:epidemiology*; D014186:Transportation / Q000706:statistics & numerical data*; D014504:Urban Health; D055815:Young Adult
chemical_list: D015415:Biomarkers