• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.43-49
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• 2024

This study is tried to confirm the effect of practical education environment and practical stress perceived by nursing college students who have experienced clinical practice on department adaptation. The subjects of the study were 154 nursing students who experienced clinical practice at nursing universities in Area C. As a result of the study, there was a positive correlation between the practical education environment perceived by nursing students and department adaptation (r=.43, p=.001), a negative correlation between practical stress and department adaptation (r=-.15, p=.012). The practical education environment and practical stress were identified as factors influencing nursing students' adaptation to the department. Therefore, in order to positively improve the practical education environment, it is necessary to continuously train related factors that can help adapt to field practice and prepare measures to improve the practical education environment through close cooperation with practice institutions.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.1953-1962
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• 2014

This study was conducted to identify the relationship between ego-resilience, anxiety and perceived stress. The participants were 500 students of nursing college located in K city, Korea. Data were collected from September, $9^{th}$ to $14^{th}$ 2013, and were analyzed by t-test, ANOVA, Pearson correlation coefficients. The result were as follows; 1) The mean scores were ego-resilience 3.36(0.50), anxiety 2.26(0.70) and stress 2.55(0.55). 2) Ego-resilience was significantly different according to gender, age, satisfaction for major, subjective career opportunity, subjective health. The score were higher at the male group than the female group, and the group who aged over 24 were higher than the group aged below 23. 3) Significant correlations were found between ego-resilience, anxiety and stress. Ego-resilience has negative relationship with level of anxiety(r=- .383, p<0.000) and perceived stress(r=- .454, p<0.000). While, the positive relationship were significant(r= .685, p<0.000) between level of anxiety and perceived stress. According to these result, ego-resilience promotion program is need to develop as a positive concept to adjust college life and nursing course.

• Korean Journal of Psychosomatic Medicine
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• v.11 no.1
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• pp.15-24
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• 2003

Objectives: The object of this study was to compare perceived stress and quality of life among patients with HIV infection, patients with pulmonary tuberculosis and normal controls. Methods: Stress response inventory(SRI) and Symptom checklist 90-Revised(SCL-90-R) were used to measure perceived stress responses and psychopathology. Smithklein Beecham quality of life scale was used to measure quality of life. Results: Patients with HIV infection scored significantly higher on scores of tension, anger, depression, fatigue and frustration subscale of the SRI than those with pulmonary tuberculosis and normal controls. Scores of the SCL-90-R, somatization, depression, anxiety, hostility, phobic anxiety, paranoid ideation and psychoticism subscale were also significantly higher in patients with HIV infection than those with pulmonary tuberculosis and normal controls. Patients with HIV infection scored significantly lower in quality of life than those with pulmonary tuberculosis. In patients with HIV infection, age had a significantly negative correlation with scores of somatization, obsessive-compulsive, interpersonal sensitivity, phobic anxiety, paranoid ideation and psychoticism subscale of the SCL-90-R. but the level of education had a significantly positive correlation with somatization, obsessive-compulsive, interpersonal sensitivity, phobic anxiety, paranoid ideation and psychoticism subscale of the SCL-90-R. Conclusion: The results suggest that patients with HIV positive were likely to have higher levels of perceived stress response and psychopathology, and lower quality of life than those with pulmonary tuberculosis and normal controls.

• Korean Journal of Psychosomatic Medicine
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• v.10 no.2
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• pp.120-129
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• 2002

Objectives : The object of this study was to compare perceived stress and quality of life among patients with HIV infection, patients with pulmonary tuberculosis and normal controls Methods: Stress Response Inventory(SRI) and Symptom checklist 90-Revised(SCL-90-R) were used to measure perceived stress responses and psychopathology. Smithklein Beecham quality of life scale was used to measure quality of life. Results : Patients with HIV infection scored significantly higher on scores of tension, anger, depression, fatigue and frustration subscale of the SRI than those with pulmonary tuberculosis and normal controls. Scores of the SCL-90-R, somatization, depression, anxiety, hostility, phobic anxiety, paranoid ideation and psychoticism subscale were also significantly higher in patients with HIV infection than those with pulmonary tuberculosis and normal controls. Patients with HIV infection scored significantly lower in quality of life than those with pulmonary tuberculosis. In patients with HIV infection, age had a significantly negative correlation with scores of somatization, obsessive-compulsive, interpersonal sensitivity, phobic anxiety, paranoid ideation and psychoticism sub scale of the SCL-90-R. but the level of education had a significantly positive correlation with somatization, obsessive-compulsive, interpersonal sensitivity, phobic anxiety, paranoid ideation and psychoticism sub scale of the SCL-90-R. Conclusion : The results suggest that patients with HIV positive were likely to have higher levels of perceived stress response and psychopathology, and lower quality of life than those with pulmonary tuberculosis and normal controls.

• Korean Journal of Community Nutrition
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• v.23 no.4
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• pp.289-301
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• 2018

Objectives: The aim of this study was to examine the current status of consumption of energy drinks among college students and investigate the effects of general environmental factors, health behavior factors, caffeine knowledge levels, and perceived stress levels on consumption of energy drinks. Methods: A survey was conducted among a total of 479 college students in Gwangju, using self-administered questionnaires. The questionnaire consisted of items about general environmental factors, health behavior, caffeine knowledge, perceived stress, and energy drink consumption behaviors. Results: 69.1% of participants experienced consumption of energy drinks, and specifically 82.8% of male students and 54.1% of female students experienced consumption of energy drinks (p<0.001). The reasons for drinking energy drinks were found to be recovery from fatigue, curiosity, taste, habit, thirst relief, and stress relief. In addition, 40.7% of participants experienced drinking energy drinks mixed with alcohol, and specifically 48.6% of male students and 27.4% of female students reported drinking energy drinks with alcohol (p<0.001). Moreover, 51.5% of participants responded that they experienced the effects of energy drinks, 31.9% reported experiencing adverse effects, and 41.1% were found to perceive the health risks. As a result of the assessment of caffeine knowledge, the participants showed a high level of knowledge of the arousal effect (77.7%) and the concentration increasing effect (70.8%) of caffeine, whereas they exhibited a low level of understanding of the health problems due to caffeine (32.6%) and adequate caffeine intake levels (24.4%). The higher levels of consumption experience of energy drinks was associated with higher body mass indexes (BMI) (p<0.01), higher academic years (p<0.01), lower levels of interest in health (p<0.05), smoking (p<0.001), alcohol consumption (p<0.05), and higher levels of perceived stress (p<0.05). Conclusions: The risk groups related to consumption of energy drinks among college students were identified as male students rather than female students, students in the third or fourth year of study associated with increased stress levels, and students with negative health behaviors. Therefore, support for diverse health and nutrition education for college students is required along with the improvement of internal and external environments of schools in order for college students to manage increased stress levels due to the schoolwork and preparation for employment and maintain positive health behaviors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.301-311
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• 2011

This study was performed to determine the self-perceived fatigue and its association with job stress contents and psychosocial factors among white collar male workers. The self-administered questionnaires were given to 872 workers employed in 42 work places during the period from February 1st to April 30th, 2009. As a results, in terms of levels of self-perceived fatigue according to the job stress contents and psychosocial factors, under significantly higher level of self-perceived fatigue were those with higher level of job demand, lower job autonomy, lower supervisor support and higher locus of control than their respective counterparts. Multiple stepwise analysis revealed that the factors of influence on self-perceived fatigue included age, subjective status of health, job career, experience of sick absence, sense of satisfaction in work, regular exercise, sleeping hours, visiting out-patient department, job demand, supervisor support and self-esteem. The study results indicated that the level of self-perceived fatigue is so complicatedly influenced by variable factors as well as socio-demographic characteristics, job-related characteristics and health-related behaviors, to a greater extent, by JCQ and psychosocial factors.

• Journal of Industrial Convergence
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• v.18 no.6
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• pp.75-83
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• 2020

This study was a descriptive exploratory study to provide a foundation for improving the healthy working environment in Korean Red Cross Blood Center workers. A total of 215 surveys were collected from September 8 to October 31, 2020. Chi-squared test or Fisher's extract test, Independent t-tests, and Multiple Logistic Regression were performed with the SPSS 19.0 statistical program. We conducted multiple logistic regression analysis to evaluate the relationship between positive psychology capital and job stress with the perceived health status. The good perceived health status was 35.3%(N=76). When adjusted for related factors, the general characteristics and work characteristics were not related to perceived health status, and the positive psychological capital and job stress were significantly different between healthy and unhealthy groups (p<.001, p<.001). As positive psychology capital increased by one unit, the odds ratio of good health groups for subjective health increased significantly 1.1 times [95% Confidence interval (CI: 1.0-1.1)] and the odds ratio for good health groups for subjective health status decreased by 0.9 times [95% Confidence interval (CI: 0.8-0.9] as job stress increased by one unit.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.309-316
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• 2021

The purpose of this study is to investigate the level of adaptation to college life and identity the influencing factors on adaptation to college life of college freshmen's. Data were collected from 2088 college freshmen's in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of adaptation to college life in college freshman was 3.75±0.73. There were significant differences in college life adaptation with respect to gender(t=3.947, p<.001), age(F=3.445, p=.032), major(F=5.539, p=.001), family type(F=6.958, p<.001). There was negative correlation between adaptation to college life and perceived stress(r=-.696, p<.001), depression(r=-.507, p<.001), positive correlation were found between perceived stress and depression(r=.567, p<.001). The factors affecting the adaptation to college life of the study subjects were perceived stress, depression, age, major, family type with an explanatory power of 50.4%. In conclusion, to enhance adaptation to college life of college freshmen's, it is necessary to develop and adopt various program of adaptation to college life.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.521-528
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• 2022

The purpose of this study was to investigate the effect of perceived stress, self-efficacy, interpersonal relationship of college life adaptation in college students. Data were collected from 2,956 college students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of suicide ideation in nursing students was 3.33±5.28. There were significant differences in college life adaptation with department(F=9.932, p<.001), number of friend(F=5.681, p<.001), close professor (t=-3.739, p<.001), There was negative correlation between college life adaptation and perceived stress(r=-.543, p<.001), positive correlation between college life adaptation and self-efficacy(r=.667, p<.001), interpersonal relationship(r=.679, p<.001). The factors affecting college life adaptation of the study subjects were perceived stress(β=-.191, p<.001), self-efficacy(β=.280, p<.001), interpersonal relationship(β=.394, p<.001), with an explanatory power of 56.7%. Through the result of this study, it is necessary to development education and program that to improve college life adaptation in college students.

• Journal of Korean Academy of Nursing
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• v.42 no.1
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• pp.136-147
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• 2012

Purpose: This study was conducted to compare the degree of depression between men and women and to identify factors influencing their depression. Methods: Participants in this cross-sectional descriptive study were 263 persons over 65 years old (men: 103, women: 160). Data were collected through face to face interviews using questionnaires and were done in two urban areas in 2010. Research instruments utilized in this study were SGDS, MMSE-K, SRH, FILE, sleep pattern scale, family and friend support scale, and social support scale. Multivariate regression analysis was performed to identify factors influencing depression in elders. Results: The proportions of participants with depression were significantly different between men and women (52.4% vs. 67.5%). Regression model for depression in elderly men significantly accounted for 54%; disease stress (32%), economic stress (10%), perceived health status (4%), and family support, educational level, age, and hypertension. Regression model for depression in elderly women significantly accounted for 47%; disease stress (25%), perceived social loneliness (8%), friend support (5%), family stress (4%), and sleep satisfaction, and family support. Conclusion: Results demonstrate that depression is an important health problem for elders, and show gender differences for factors influencing depression. These results could be used in the developing depression prevention programs.