근로자의 건강영향인지와 사망만인율을 통한 직무스트레스 해소계수 산정 - 제조업 현장근로자를 중심으로 -

Estimation of Job Stress Relieve Coefficient through Recognizing Health Effects of Workers and Death Rate per 10,000 workers - A manufacturing worker -

Abstract

Objective: The purpose of this study was to find out what kind of change in death rate when job stress is solved by calculating job stress relieve coefficient. Methods: This study used the data of the fourth working condition survey. Regression analysis was used to determine the relationship between health effects recognition and Death rate per 10,000 workers. After that the recognizing and non - recognizing groups were categorized by health effects recognition, and the differences between the two groups were confirmed by cross tabulation analysis. Results: Regress analysis P-value is 0.011 and $R^2$ is 0.979. Death rate per 10,000 worker increased with the increase in the number of non - health impact recognizing group. The relieve factors were (1) work culture(2.859) (2) physical environment(2.184), (3) improper reward (1,839), (4) relationship conflict(1.646), (5) job requirement(1.613), (6) job autonomy(1.354), (7) job instability(1.334), And (8) organizational system(1.201). The higher the relieve coefficient is, the higher the probability of belonging to the non - health impact recognizing group when there is no job stress factor. Conclusions: When job stress is resolved, there is a high probability that the health impact recognition is reduced, which can lead to an increase in death rate. but according to previous studies, Job stress can cause accidents by reducing the safety behavior of accidents. The job stress management plan should simultaneously consider reducing job stress and increasing health impact recognition.

Figure 1. Subjects of study

Figure 2. Regression of Death rate per 10,000 workers, Accident death rate per 10,000 workers rate, No Danger recognizing and No Health impact recognizing

Figure 3. Implications of this study

Table 1. Identification of Danger and health effects

Table 2. Job stress factors according to KOSHA

Table 3. Death rate per 10,000 workers, Accident death rate per 10,000 workers rate, No Danger recognizing and No Health impact recognizing

Table 4. Regression equation of Death rate per 10,000 workers, Accident death rate per 10,000 workers rate, No Danger recognizing and No Health impact recognizing

Table 5. Cross tabulation result table of Q44(a)

Table 6. Cross tabulation result table of Q51(b)

Table 7. Questionnaire items with significant differences between groups

Table 8. Job stress relieve factor

Table 9. Job stress relieve factor and relieve coefficient