• Korean Journal of Oriental Medicine
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• v.14 no.3
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• pp.65-71
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• 2008

Objectives : We intended to know the association between Psychosocial Well-being Index(PWI) and health behaviors and also know the useful health guide according to Sasang Constitution Methods : We recruited the 137 subjects from oriental medical clinics around the country and the expert diagnosed Sasang constitution with drug response guide. We used the PWI-SF paper to estimate psychosocial well-being. We used excel program and analyzed with SPSS 14.0K Results : 1. PWI were associated with no passive smoking, everyday regular exercise, eating anything, much eating vegetable and sea-food, no eating snacks. 2. PWI were associated with no passive smoking, 4-5 times regular exercise a week, unconcern in sanitary thought, less or normal amount of meals in Soeumin, no smoking in Taeeumin, and there were not particularly associated ones in Soyangin Conclusions : Health behaviors for PWI are a little different according to Sasang Constitution.

• Korean Journal of Health Education and Promotion
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• v.19 no.2
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• pp.45-55
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• 2002

This study was conducted to evaluate the degree of stress state and stress related factors in 280 male white collar workers by using Psychosocial Well-being Index. The results were as follows; 1. According to Psychosocial Well-being Index, mild stress state was 78.6 %, healthy state was 12.9 %, and high risk stress state was 8.6 %. Single marital status, low education level, low income and low frequency of exercise group had high score of stress. 2. The total stress score was highly associated with the factors of social performance and self confidence, depression, general well-being and vitality, and sleeping disturbance and anxiety in order. 3. In reliability test of stress factors, Cronbach's a coefficients of social performance and self confidence, sleeping disturbance and anxiety, depression, general well-being and vitality were 0.91, 0.91, 0.90, and 0.89 respectively. In conclusion, it suggested that marital status, income, education, and exercise were associated with stress score. All of the above factors should be considered to white collar workers health.

• The Journal of Korean Academic Society of Nursing Education
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• v.7 no.2
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• pp.183-195
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• 2001

The purpose of this study was to identity the relationship among emotional expression, emotional support, and psychosocial well-being, to analyze the factor affect the psychosocial well-being and to provide the data-based for effective development of emotional education program. The subjects for this study were 553 undergraduate college nursing students. The period of data collection was from 16 to 30, June, 2001. The instruments used for this study were emotional expressiveness scale (EES), ambivalence over emotional expressiveness questionnaire (AEQ), affect intensity measure (AIM), social support scale (SSS), and psychosocial well-being index (PWI). Data were analyzed by use of Descriptive Statistics, ANOVA, t-test, Stepwise multiple regression, Pearson's correlation coefficient with SPSS WIN program. The Major results were as follows: 1. The average score of items for the AIM, EES, AEQ were moderate at 3.8, 3.7 and 3.4. The level of SSS was high at 7.2 and PWI was low at 52.1. 2. Significant correlation were found between the AIM, EES, and AEQ. The EES was positively correlated with the SSS and negatively correlated with the PWI. On the other hand, the AEQ was positively associated with the PWI and negatively associated with the SSS. There was significantly negative correlation between the SSS and PWI. 3. In demographic characteristics, significant difference was shown only in the EES. The EES was significantly different according to grade. The difference in the SSS and PWI between 3groups were significant at the EES and AEQ. 4. Results from hierarchical multiple regression analysis indicated that the EES, AEQ, and AIM had influence on the SSS. And perceived the AEQ and SSS together explained 18.7% of variance in the PWI. The results of study provide evidence about the roles of emotion in psychosocial well-being. As a result, this study suggests that later study would be required to identify factors affect the psychosocial well-being and to develop the emotional education program to enhance emotional expression.

• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.609-616
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• 1996

This study was conducted to evaluate the degree of stress state and the risk factors related to in 967 white collar workers and 275 blue collar workers by using Psycosocial Well-being Index. The results obtained were as follows : 1. In the white collar workers and blue collar workers, young age, low education and low income groups had high scores of stress, while in white collar workers, female had high scores of stress but in blue collar workers, male had high scores of stress. 2. According to psychosocial well-being index, mild stress sto were 73.9% and 53.1%, high risk stress state were 8.9% and 44.4%, and healthy state were 17.2% and 2.6% in white collar and blue collar workers respectively. 3. The total stress score was highly associated with the factors of depression, social performance and self-confidence, general well-being and vitality, and sleeping disturbance and anxiety in order. 4. In reliability test of stress factors, Cronbach's $\alpha$ coefficients of depression, social performance and self-confidence, general well-being and vitality, and sleeping disturbance and anxiety were 0.89, 0.81, 0.79, and 0.74 respectively. In conclusion, it suggested that age, sex, marital status, income, education, sleeping time, smoking and exercise habit were associated with stress score, all of the above factors should considered to occupational health.

• Journal of the Ergonomics Society of Korea
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• v.19 no.2
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• pp.15-31
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• 2000

The aim was to evaluate the prevailing ergonomic and psychosocial conditions regarding low back injury in an automobile assembly system. This study consisted of two parts. In the first part of the study, analytic biomechanical model and NIOSH guidelines were applied to evaluate risk levels of low back injury for automobile assembly jobs. Total of 246 workers were analysed. There were 20 jobs having greater back compressive forces than 300kg at L5/S1. Also, there were 44 jobs over Action Limit with respect to 1981 NIOSH guidelines. This might in part be explained by the ergonomic conditions of the company analysed generally being good, with a relatively low duration of 'combined' extreme work posture. The relationship between psychosocial factors and low back injury was examined in the second part of the study. It has recently been recognized that overall reaction to working conditions was influenced by a range of factors, some of which were physical and some psychosocial. The psychosocial environment surrounding the work place may contribute to the perception of risk and eventual ill-health. A battery of questionnaires concerning the psychosocial stress based on PWI(Psychosocial Well-being Index) and musculoskeletal pain symptoms at low back was completed by 246 workers at the same plant. Results showed that 207 out 246 workers experienced the symptoms and 27 workers were diagnosed as patients. Two groups(low stressed, high stressed) based on PWI score had no significant relationships with both symptoms and results of diagnosis. However, sensitivities for symptoms and diagnosis by PWI were 91.3% and 92.6% respectively. Finally, relationships between physical work load and psychosocial stress were analysed. Specifically, some postural factors {vertical deviation angle of forearm, horizontal deviation angle of upperarm, vertical deviation angle of thigh, etc) were highly correlated with psychosocial stress. The results illustrated that PWI scores were associated with some physical workloads. However, psychosocial stress levels couldn't be well related with the pain symptom as well as the actual incidence of low back injury since pain or discomfort regarding low back injury were more complex than that of other musculoskeletal disorders.

• Korean Journal of Occupational Health Nursing
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• v.24 no.2
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• pp.132-141
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• 2015

Purpose: The purpose of this study was to investigate the relationships between psychosocial working conditions and psychological well-being depending on the gender among Korean interactive service workers. Methods: This study was a secondary analysis of the data extracted from the 2011 Korean Working Conditions Survey. For the present analysis, 15,669 workers who interact with others at work were selected. Based on the existing literature, a set of variables was chosen from the KWCS. Psychological well-being was measured using the WHO-5 well-being index. Results: The prevalence of poor psychological well-being was significantly higher among men (43.1%) than women (39.6%). Women were more likely to be exposed to demands for hiding emotions, bullying, and discrimination, whereas men were more likely to be exposed to psychological job demands, cognitive demands, demands for responsibility, role conflict and long working hours. Most factors were associated with poor well-being among women and men except demands for hiding emotions, skill discretion and development, physical violence, and sexual harassment. Conclusion: Based on these results, some practical suggestions are offered to help interactive service workers adjust to their duties.

• 대한예방의학회:학술대회논문집
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• 1995.10a
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• pp.125-126
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• 1995

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.55-66
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• 2015

In the perspective of industrial health management, it is important for the employee to decrease their job stress, to improve their productivity and quality of labor. In this study, the job stress, and it's influence on PWI(Psychosocial Wellbeing Index) were investigated by the questionnaire survey of 138 industrial workers who had studied assistive technology in college. The contents of questionnaire consist of the demographic characteristics, job-related characteristics, job stress and psycho-social stress. We evaluated job stress by KOSS-SF(Korean Occupational Stress Scale-Sort Form) and psychosocial stress by PWI-SF(Psychosocial Well-being Index-Short Form). To analyze the results, we evaluated the exposure level of KOSS and PWI by demographic characteristics and job-related characteristics using significance tests. Also, we estimated the relationship among demographic characteristics, job-related characteristics, job stress and psychosocial stress, using correlation analysis. As a results, all workers were found to be in a group under the high risky stress. It showed that the scale index of female's job non-autonomy and pwi were much larger than those of male's. Therefore, to guarantee job autonomy of female workers should be more emphasized, to improve their working environment. Job type had significant relationships with many job stress category; physical environment, job demand, job instability and organization culture. Regarding pwi, the scale index of the workers who is in charge of the civil service such as contacting the disabled and the aged in person, were much larger than that of the other workers. Accordingly, the job stress management program including physical environment, job demand, job instability and organization culture, should be suggested, to decrease the stress of the workers in charge of the disabled and the elders service. The strongest predictors of pwi was organization system through maximum positive relations between organization system and pwi. Therefore, it indicates that improvement of organization system such as a fair merit rating, a manpower supply, demand plan and department cooperation is urgently needed to reduce pwi.

• Journal of Preventive Medicine and Public Health
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• v.30 no.3 s.58
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• pp.540-554
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• 1997

The effects of cigarette smoking on the psychosocial distress, the absenteeism, the occupational injuries, and on the prevalence for the accidents were assessed in 795 male workers who had been employed since March 1994. The results show that the prevalence of current smokers were higher in young men, lower educational level, lower income, single men(unmarried or divorced), alcohol drinkers, and blue collar workers. In the bivariate analyses, the workers with the high job demand and low work control were more likely to smoke, although the relationship was not strong. Those who reported lower satisfaction on his job tended to smoke more. Mean scores of psychosocial well-being index(PWI) were higher in current smokers than nonsmokers. For the hierarchical multiple regression analyses, interaction terms between cigarette smoking and job stressors(job demand and work control) were not significant. For smokers, the odds ratios for the occupational injuries, and the accidents were 1.40(95% confidence interval 0.77-2.57) and 1.96 (95% confidence interval 0.75-5.09), respectively. The mean absent day were 4.13 for smokers, 3.65 for nonsmokers, although the differences were not statistically significant. It seems that cigarette smoking had not caused any crucial effects on the psychosocial well-being status and the occupational risks. Some considerations for the further research on the relationship of cigarette smoking on the mental health status and the occupational risks were also discussed.

• Korean Journal of Occupational Health Nursing
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• v.11 no.1
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• pp.63-80
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• 2002

Objectives: The objective of this study is to evaluate the job characteristics of container terminal workers by applying the Job Strain model, and to assess the relationship among the general characteristics, job characteristics and psychosocial distress. Methods: A self-administrated questionnaire survey was performed to the container terminal workers in Pusan. Among the 200 male workers who answered the questionnaires, white-collar workers and blue-collar workers were 100, respectively. Karaseks Job Content Questionnaire was utilized to evaluate the job characteristics and Psychosocial well-being index (PWI) was applied to measure the extent of their psychosocial stress. Results: In white-collar workers, the skill discretion, created skill, decision-making authority, decision-making latitude, psychological job demand, and supervisor support of the job characteristics were significantly high, while in blue-collar workers physical exertion was significantly high. The result of Psychosocial well-being index (PWI) reveals that blue-collar workers were more stressed than white-collar workers, especially, the indices of depression (factor 2), sleeping disturbance and anxiety (factor 3), General well-being and vitality (factor 4) were significantly increased; whereas, in white-collar workers, only the index of social performance and self-confidence (factor 1) was significantly increased. And PWI scores were significantly increased in the lower social support and psychological job demand. By the multiple logistic regression analysis for PWI, blue-collar workers had increased odds ratio of 2.66(95% CI;1.11-6.41) compared with white-collar workers. The unmarried workers increased odds ratio of 3.54(95% CI;1.18-10.62) compared with married workers. And workers who have not own house increased odds ratio of 2.35(95% CI;1.15-4.79) compared with workers who have own house. Particularly, odds ratio of work-shift in blue-collar workers was 11.10(2.14-57.64). Conclusion: Skill discretion, created skill, decision-making authority, decision-making latitude, psychological job demand, and supervisor support were increased in white-collar workers. Decreased skill discretion and increased physical exertion were found in blue-collar workers, which is supported the Job Strain model. Job stress of blue-collar workers was comparatively higher than that of white-collar workers, especially, skill discretion, decision-making authority, decision-making latitude, job insecurity, physical exertion were noticeable factors. Especially, sleeping, smoking, and work shifting turned out to be a main cause that increases stress. Therefore, in order to decrease the job stress, a health promotion program to change the health behaviors should be activated and an organized job stress management program should be introduced. Especially, working condition for blue-collar such as physical exertion and work-shift should be improved.