PURPOSE: This study was done to identify the influence of workplace violence on anger and post traumatic stress disorder among nurses. METHODS: The research design for this study was a descriptive survey design using a random sampling. Data collection was done using self-questionnaire with 477 nurses. The collected data were analyzed by descriptive statistics, chi2-test and logistics regression. RESULTS: The incidences of total violence, verbal, physical, and sexual violence were 31.2%, 28.7%, 6.3%, 3.6% of the nurses, respectively. Anger was significantly associated with verbal violence (OR: 2.34, CI: 1.40~3.91) and physical violence (OR:4.85 CI: 1.67~14.13). Post traumatic stress disorder was significantly associated with verbal violence (OR: 15.99, CI: 9.58~26.69) and physical violence (OR: 5.37, CI: 1.66~17.40). CONCLUSION: To promote psychological health in nurses, there is a need to develop prevention programs to decrease workplace violence and to develop programs supporting psychological aspects of verbal violence that nurses experience.
Anger ; Data Collection ; Incidence ; Sex Offenses ; Stress Disorders, Traumatic ; Violence

PURPOSE: The purpose of the present study was to identify prevalence of excessive daytime sleepiness(EDS) and its associations with sleep habits, sleep problems, depression, subjective health status and obesity in community dwelling adults. METHOD: Data was collected from adults aged 20-59 years by random sampling. Subjects completed a questionnaire which was composed of the Epworth Sleepiness Scale, Center for Epidemiologic Studies Depression Scale, and questions that included items about sleep habits, sleep problems, subjective health status and sociodemographic characteristics. Height and weight were measured for calculation of body mass index. The statistical analyses was based on 3,302 adults (51.5% males and 48.5% females). Descriptive statistics, univariate logistic regression and multiple logistic regression were used. RESULT: The prevalence of EDS was 17.1%. Multiple logistic regression showed that the associated factors of EDS were depression, obesity, dissatisfaction with sleep time, irregular sleep, and habitual snoring. Depression was the most significant associated factor(adjusted odds ratio for severe depression=2.27, 95% Confidence Interval=1.73-2.96). CONCLUSION: EDS is a common symptom in adults. Our finding suggested that persons with a complaint of EDS should be completely assessed for depression and obesity as well as sleep problems.
Activities of Daily Living ; Adult ; Cross-Sectional Studies ; Demography ; Depression ; Disorders of Excessive Somnolence/*diagnosis/*epidemiology ; Female ; Humans ; Male ; Middle Aged ; Multivariate Analysis ; Prevalence ; Questionnaires ; Sleep Initiation and Maintenance Disorders/epidemiology

PURPOSE: This study was done to explore the level of life stress, depression, and suicidal ideation and to identify the associated factors of suicidal ideation (SI) among college nursing students. METHOD: The design of this study was a descriptive survey design using a convenience sampling. Data collection was done using self-questionnaire from 124 students in 2 universities located in Gyeonggi and Chungnam provinces. The collected data were analyzed using descriptive statistics, ANOVA, t-test, Pearson correlation coefficients, and hierarchical multiple regression. RESULTS: Study participants reported low level of SI, depression, and life stress (44.45+/-19.21, 8.40+/-5.94, 40.65+/-32.17). The 53% of variance in SI was significantly explained by life stress related value (beta=.41, p<.001), life stress related to interpersonal relationship with family (beta=.19, p=.014), life stress related to interpersonal relationship with friends (beta=.34, p<.001), and depression (beta=.36, p<.001). CONCLUSIONS: The results indicate that to decrease the SI in these students, an active interest in the students is needed to lower stress levels in interpersonal relationships with family and friends, in life stress related to value, and for relief of depression. Suicide prevention programs specific to the level of life stress and depression need to be developed for nursing students.
Chungcheongnam-do ; Data Collection ; Depression* ; Friends ; Gyeonggi-do ; Humans ; Nursing* ; Stress, Psychological* ; Students, Nursing* ; Suicidal Ideation* ; Suicide

PURPOSE: The purpose of this study was to investigate sleep patterns and predictors of excessive daytime sleepiness (EDS) in university students. METHODS: Participants were 120 university students who were attending two universities in S-city and C-city. Data were collected from May 20 to June 15, 2012 using self-report questionnaires which included Johns' Epworth Sleepiness Scale, Yi's Sleep Quality Scale, and Beck Depression Inventory. Data were digitalized and analyzed using frequency, percentages, means and standard deviations, Wilcoxon rank sum test, Chi-square test, Fisher's exact test, and multiple logistic regression with SAS 9.0. RESULTS: Mean total sleep time was 6.6 hours on weekdays, 8.1 hours on weekends. Mean sleep latency was 19.1 minutes and the score for mean sleep quality was 22.6. Prevalence of EDS was 12.5%. Depression was significantly different between EDS and Non-EDS students (t=2.17, p=.030). Multiple logistic regression showed that the only factor associated with EDS was depression (adjusted odds ratio of depression=5.33, 95% Confidence Interval=1.49-19.04). CONCLUSION: Results of this study indicate that university students experience short sleep time, low sleep quality, and common EDS with depression, suggesting that students with complaints of EDS should be completely assessed for depression as well as sleep problems.
Depression ; Humans ; Logistic Models ; Odds Ratio ; Phenothiazines ; Prevalence ; Surveys and Questionnaires

National cohort data collected during the coronavirus disease 2019 (COVID-19) delta and omicron periods in Korea revealed a lower risk of severe infection in recipients of three doses of the COVID-19 vaccine (adjusted odds ratio [aOR], 0.05–0.08). The risk of death was reduced during the omicron period compared to the delta period (aOR, 0.75; 95% confidence interval, 0.67–0.84).