• Journal of Korean Academy of Nursing
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• v.29 no.2
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• pp.304-313
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• 1999

The purpose of this study is to test the reliability and validity test of PWI to utility of PWI. this newly developed by Sejin Jang which measures stress. The subject were 186 workers in service area. Cronbach's a and Guttman split-half coefficient is used to test the reliability of PWI. Factor analysis and the correlation of the GHQ-60. GHQ-30, GHQ-28, GHQ-20, and GHQ-12 with the PWI is used to convergent validity and discriminant validity. The important results of this study are as follows : Cronbach's $\alpha$ coefficient of data was 0.894 and Guttman split-half coefficient was 0.7097. The PWI was classified as 13 principle component (eigenvalue＞1.0). After exploring 4 factor structure according to previous study result, 4 factors was explained 40.5% out of the total variance. The factor 1 was explained 15.9% and then the rest three factor was 24.6%. Factor 2 and 4 showed good agreement but factor 1 and 3 did not. Depression-related items were classified two factors. Anxiety and depression-related items were loaded unifactor. It was not clear that the PWI was consist of 4 concepts(factors). The correlation of the GHQ-60, GHQ-30, GHQ-28, GHQ-20, and GHQ-12 with the PWI were 0.744~0.905. According to findings of this study. the PWI showed a high degree of validity and reliability. Thus it is recommended to use the PWI in general setting for screening for stress. In addition, it is necessary to clarify the concept of depression and anxiety. In the further study. it my be considered to the factor structure of PWI and studied to two or unidimensional factor structure.

• 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.

• 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.

• 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 the Korean Wood Science and Technology
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• v.15 no.4
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• pp.32-44
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• 1987

This study was carried out to analyze and furecast the domestic demand for plywood in Korea by regression models with time-series data for 16 years(1970-85). The results obtained were summarized as follows. 1. To analyze domestic demand for plywood, GNP, PWI and CWI were used as independant variables. The domestic demand equation was computed as follows: $^{in}DDP$=0.65186+1.29412 $^{in}GNP$-0.28385 $^{in}PWI$-1.05011 $^{in}CWI$ Where DDP : Domestic demand for plywood(1000 S/F) GNP: Gross national product (Billion won) PWI : Real wholesale price index of plywood CWI: Real wholesale price index of construction materials. 2. Among independant variables reflecting on the production activity of plywood industry, GNP was the most decisive in forecasting the domestic demand for plywood. 3. The significance can be recognized highly because the decision coefficient of the forecasting model which is obtained by using time series data is 0.9. 4. According to the estimated regression coefficients for GNP, PWI and CWI, GNP shows positive relation while PWI and CWI show negative relation. 5. An annual average increase rate of demand for plywood was 9.4 percent during expect period. Therefore, it was decreased slightly than that of 10.2 percent during sample period.

• Journal of Preventive Medicine and Public Health
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• v.29 no.2 s.53
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• pp.255-264
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• 1996

To study reliability and validity of PWI, this newly developed self-administered questionnaire which measures stress, was given to medical students. All respondent(133) were followed 4 weeks later and 92 were retested. Cronbach's $\alpha$ coefficient of data was 0.93. Test-retest reliability measured by Pearson's correlation coefficient was 0.72(P<0.01). Exploratory factor analysis(EFA) performed by principal axis factor method without iteration and by varimax rotation explored 13 principal components(eigenvalues > 1). After exploring 4 factor structure according to previous study results, factor 1 showed good agreement but other factors did not. Confirmatory factor analysis(CFA) showed poor fit of 4 factor model to data. In the further study, it may be considered to model that has unidimensional factor structure.

• Journal of Korean society of Dental Hygiene
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• v.16 no.2
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• pp.225-231
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• 2016

Objectives: The purpose of this study was to investigate the influential factors of stress and fatigue on peridontal indicators in patients with periodontal disease. Methods: A self-administrated questionnaire study was conducted during November 2012 to January 2013 with 140 periodontal patients. The Fatigue and Stress were evaluated with Multidimensional Fatigue Scale(MFS) and Psychosocial Well-bing Index(PWI). Periodontal health indicators were consisted with gingival index and pocket depth. Data were analyzed by descriptive analysis, t-test, ANOVA, and multiple regression analysis. Results: Overall stress and fatigue level of subjects were $22.61{\pm}5.62$ and $64.67{\pm}9.45$. Gingival index and periodontal pocket depth as periodontal health indicators were $1.26{\pm}0.3$ and $4.29{\pm}0.52$. The influential factors of gingival index and periodontal pocket depth were social function(subcategory of pwi) and depression(subcategory of pwi), respectively. Conclusions: Some subcategories of PWI were related with periodontal health indicators. So, consideration of stress related with depression and social function are needed to manage and prevent periodontal disease.

• Journal of Korean Neurosurgical Society
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• v.56 no.3
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• pp.261-264
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• 2014

We report perfusion weighted imaging (PWI) findings of nonenhanced anaplastic astrocytoma in a 30-year-old woman. Brain magnetic resonance imaging showed a nonenhanced brain tumor with mild peritumoral edema on the right medial frontal lobe and right genu of corpus callosum, suggesting a low-grade glioma. However, PWI showed increased relative cerebral blood volume, relative cerebral blood flow, and permeability of nonenhanced brain tumor compared with contralateral normal brain parenchyma, suggesting a high-grade glioma. After surgery, final histopathological analysis revealed World Health Organization grade III anaplastic astrocytoma. This case demonstrates the importance of PWI for preoperative evaluation of nonenhanced brain tumors.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.419-419
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• 2005

• 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.