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.

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.

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.

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.

This study was aimed to identify the major factors affecting performance in health promoting behaviors in women workers at small-scale industries.

This study was based on the Pender's Health Promotion Model. The subjects for this study were 251 women workers at 23 small-scale industries in Busan city. The data for this study was collected from July 15th to August 15th 2003 by structured questionaries, and were analyzed with ANOVA, t-test, Pearson' correlation coefficient, and multiple Regression in the SPSS/WIN 10.0.

The mean performance of the health promoting behavior was 2.56. The factors related to the performance of the health promoting behaviors were social support, marital status, status of owning a house, perceived barriers to action, working time, and self-efficacy, and they explained 58.4% of the variance of the health promoting behaviors.

The mean performance of the health promoting behavior seemed to be low, and the most important variable related to health promoting behaviorsof women working at a small-scale industry was social support. Therefore, intervention programs to increase the social support for women worker need to be developed.