Purpose:The purpose of this study was to identify sleep quality, job stress, symptoms of stress (SOS), and coping and to examine factors influencing sleep quality in clinical nurses. Methods: A cross-sectional study was conducted with 265 clinical nurses at three general hospitals. A self-administrated questionnaire was used for data collection, and data were analyzed using descriptive statistics, Pearson correlation coefficients, t-test, ANOVA, and backward multiple regression with the SAS statistical program. Results: Sleep quality showed significant differences according to the sociodemographic characteristics of age, length of work, education, current workplace, current job position, shift work, and marital status. Sleep quality was negatively associated with SOS and job stress. Significant factors influencing sleep quality of the clinical nurses were cognitivebehavioral SOS, physiological SOS, inappropriate rewards, physical work environment, and shift work. Conclusion:The findings indicate that cognitive-behavioral SOS, physiological SOS, job stress regarding inappropriate rewards and physical work environment, and shift work are useful to predict levels of sleep quality of clinical nurses. These factors should be considered when developing nursing interventions to improve sleep quality of clinical nurses through stress management.

Objectives To examine the factors affecting passive exposure to secondhand smoke (SHS) in non-smoking student nurses. Methods A cross-sectional study was performed in 196 college students who had not smoked cigarettes in the past 12 months. Urinary cotinine levels were examined to identify exposure to SHS, and social factors were identified that influenced exposure to SHS, including requests that smokers extinguish cigarettes. Logistic regression analysis was used to predict the factors influencing SHS. Results Urinary cotinine measurements showed that 32 students (16.3%) were exposed to SHS. Risk factors that increased exposure to SHS affected 80 students (40.8%) in the previous 7 days. Students who were exposed to SHS were 4.45-times more likely to have increased urinary cotinine levels than those who were not exposed. Students who asked others to extinguish their cigarettes were 0.34 times less likely to test positive than those who did not. Conclusion Urinary cotinine was a useful biomarker for identifying exposure to SHS, with respect to the influence of demographic, health-related, and smoking-related factors. In non-smoking nursing students, avoiding exposure to SHS was attributed to self-assertive behavior by requesting smokers to extinguish cigarettes.

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