title: Comparison of cardiovascular risk profile clusters among industrial workers.
abstract: OBJECTIVE
  The purpose of this study was to identify subgroups of the physical and behavioral risk profiles for cardiovascular disease among industrial workers, and to examine predicting factors for the subgroups.
  
  
  METHODS
  Health records of 2,616 male and female workers aged 19-56 years who were employed in an airplane manufacturing industry were analyzed. Data were analyzed using the Latent class cluster analysis.
  
  
  RESULTS
  Four different clusters (two high-risk groups, one low-risk group, and one normal group) were found and these clusters were significantly different by age, gender, and work type (p<.05). The two high-risk groups had higher chances of drinking alcohol, elevated BMI, FBS, total cholesterol, having hypertension, and were significantly older, and had relatively high chances of being day workers rather than other groups. The low-risk group had higher chances of drinking alcohol, higher BMI and total cholesterols compared to normal group, and highest portions of current smokers and shift workers in the four clusters and their mean BP was within prehypertension criteria.
  
  
  CONCLUSIONS
  Industrial nurses should guide the lifestyle behaviors and risk factors of the high risk groups for CVD and need to intervene early for behavioral change for the low-risk group who are young and shift workers. Age, and work environment should be considered in planning for targeted preventive interventions for industrial workers.
authors.affiliation: University of Illinois at Chicago, College of Nursing, USA.
authors.forename: Seon Young
authors.initials: SY
authors.lastname: Hwang
authors.forename: Ji Hyun
authors.initials: JH
authors.lastname: Lee
mesh_terms: D000328:Adult; D002318:Cardiovascular Diseases / Q000453:epidemiology / Q000209:etiology / Q000517:prevention & control*; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D006304:Health Status; D006801:Humans; D007221:Industry; D007723:Korea / Q000453:epidemiology; D008019:Life Style; D008297:Male; D008875:Middle Aged; D016272:Occupational Health; D009790:Occupations; D012307:Risk Factors; D014940:Work Schedule Tolerance