Purpose: The aim of this study was to longitudinally compare novice nurses’ sleep disturbance, sleep hygiene, and physical activity and analyze factors affecting sleep disturbance. Methods: Data were obtained from three follow-up surveys of 178 novice nurses. The data were analyzed using SPSS 25.0 to calculate descriptive statistics. A repeated measures ANOVA and Cochran’s Q test were performed, and a logistic regression analysis was conducted using generalized estimation equations. Results: The sleep disturbance rate increased significantly over time in the following order: before the start of shift work, after six months of shift work, and after 18 months of shift work (T=98.67, p<.001). Sleep hygiene significantly deteriorated over time after the start of shift work (F=127.95, p<.001). Arousal behavior (OR=10.34, p<.001) and the sleep environment (OR=1.54, p=.005) in sleep hygiene, significantly influenced sleep disturbance. Stretching exercises were an influencing factor in sleep disturbance (OR=1.71, p=.039). Conclusion Sleep disturbance among novice nurses increased after the start of shift work. Sleep hygiene and stretching were influencing factors. Therefore, to prevent and reduce sleep disturbance in novice nurses, efforts are needed to improve sleep hygiene and promote stretching exercises.

Purpose: This study aimed to examine the changes in stress, occupational stress, and subjective health problems of novice female nurses within the first 18 months of work. Methods: This was a longitudinal study conducted with a secondary data analysis based on the Shift Work Nurse’s Health and Turnover (SWNHT) study. The participants were 178 female novice nurses who participated in all 3 data collection activities (on the first day of orientation before ward placement [T0], 6 months after work [T1], and 18 months after work [T2]). The stress, occupational stress, 8 subjective health problems (upper musculoskeletal pain, leg/foot discomfort, depression, anxiety or emotional disorder, sleep disturbance, headache, gastrointestinal disorder, menstrual disorder, and others), and the greatest health problem during the study period were measured, respectively. Data were analyzed using SPSS 26.0 to obtain descriptive statistics. Results: The subjective health of novice female nurses were found to be poor at T1 compared to T0 on both physical (upper musculoskeletal pain, leg/foot discomfort, and sleep disturbance) and psychological health problems (depression and stress). However, the psychological health problems of the participants were alleviated at T2 whereas; physical health problems persisted until T2. Conclusion Novice nurses had poor health problems 6 months after work. Sleep disturbance and musculoskeletal pain persisted although other health problems such as depression and stress were alleviated over the period. Strategies to prevent and manage different health problems of novice female nurses at different work duration are urgently needed.

Purpose: This study aimed to identify the changes in dietary behavior of shift work nurses and its influencing factors over time. Methods: This was a secondary data analysis study based on the Shift Work Nurses’ Health and Turnover study. Data of 165 shift work nurses, who were followed for three-time points [before shift work (T0), after 6 months (T1), and after 18 months(T2) of shift work], were analyzed. Dietary behavior, level of stress, fatigue, depressive symptoms, and the amount of physical activity were measured. SPSS 28.0 was used to analyze the data to acquire descriptive statistics, repeated-measures ANOVA, and multiple linear regression with generalized estimating equations (GEE). Results: Dietary behavior of shift work nurses was poorer at T1 and T2 as compared to T0. As a result of GEE, shift work duration, level of stress, fatigue, and depressive symptoms were found to have negative impacts on dietary behavior. Conclusion Dietary behavior deteriorated and remained poor over time since shift work began. Shift work, along with stress, fatigue, and depressive symptoms, were the factors influencing their dietary behavior. Thus, to improve shift work nurses’ dietary behavior, efforts to decrease stress, and alleviate fatigue and depressive symptoms are urgently required.

Post-stroke mood and emotional disturbances are frequent and diverse in their manifestations. Among them, post-stroke depression is the best known. Although post-stroke anger (PSA) has been studied relatively less, it can be as frequent as depression. Manifestations of PSA range from overt aggressive behaviors (including hitting or hurting others) to becoming irritable, impulsive, hostile, and less tolerable to family members. The possible pathophysiological mechanisms of PSA include neurochemical dysfunction due to brain injury, frustration associated with neurological deficits or unfavorable environments, and genetic predisposition. PSA causes distress in both patients and their caregivers, negatively influences the patient’s quality of life, and increases the burden on caregivers. It can be treated or prevented using various methods, including pharmacological therapies. In addition, anger or hostility may also be a risk or triggering factor for stroke. The hazardous effects of anger may be mediated by other risk factors, including hypertension or diabetes mellitus. The identification of anger as a result or cause of stroke is important because strategic management of anger may help improve the patient’s quality of life or prevent stroke occurrence. In this narrative review, we describe the phenomenology, prevalence, factors or predictors, relevant lesion locations, and pharmacological treatment of PSA. We further describe the current evidence on anger as a risk or triggering factor for stroke.

Background: and Purpose Long-term changes in post-stroke depression (PSD), post-stroke emotional incontinence (PSEI), and post-stroke anger (PSA) have rarely been studied. Methods: This is a sub-study of EMOTION, a randomized, placebo-controlled trial, that examined the efficacy of escitalopram on PSD, PSEI, and PSA in patients with stroke. We interviewed patients at the long-term period (LTP) using predefined questionnaires: Montgomery-Åsberg depression rating scale (MADRS) for PSD, modified Kim’s criteria for PSEI, and Spielberger trait anger scale for PSA. Additionally, the ENRICHD Social Support Instrument (ESSI) for the social support state and the modified Rankin Scale (mRS) were measured. We investigated the changes in and factors behind PSD, PSEI, and PSA at LTP. Results: A total of 222 patients were included, and the median follow-up duration was 59.5 months (interquartile range, 50 to 70). Compared to the data at 6 months post-stroke, the prevalence of PSEI (11.7% at 6 months, 6.3% at LTP; P=0.05) and mean anger score (21.62, 16.24; P<0.01) decreased, while the prevalence of PSD (35.6%, 44.6%; P=0.03) and mean MADRS (6.16, 8.67; P<0.01) increased at LTP. ESSI was associated with PSD and PSA, but not with PSEI. The effect of the baseline National Institutes of Health Stroke Scale score on PSD decreased over time. The effect of low social support on PSD was greater than that of mRS at LTP. Conclusions The prevalence and degree of PSD significantly increased, while those of PSEI and PSA decreased at LTP. PSD in this stage appeared to be more closely associated with a lack of social support than patients' physical disabilities.

Purpose: This study aimed to identify occupational stress and health problems as well as turnover reasons among leavers in novice nurses and to estimate factors which might affect turnover by comparing them to stayers. Methods: In this study, secondary analysis of data gathered from the Shift Work Nurse’s Health and Turnover studies, was carried out. The data were collected from 204 stayers who have been working for 18 months since 2018 and 48 leavers who left within the same period at two tertiary hospitals in Seoul. The reasons for turnover, occupational stress, and 8 types of health problems were recorded. The data were analyzed using SAS 9.4 to obtain descriptive statistics. In parallel, Pearson’s chi-squared test, Fisher’s exact test, and independent t-test were also conducted. Results: The main reasons for turnover were job stress and difficult interpersonal relationships in the workplace. Occupational stress of leavers was higher than stayers, especially in the subscales of interpersonal conflict, organizational system, lack of reward, and occupational climate. Among the 8 types of health problems, the depression prevalence of leavers was higher compared to stayers and showed marginal significance. Unexpectedly, the sleep disturbance prevalence of stayers was significantly higher compared to leavers. Conclusion To reduce the turnover rate of novice nurses, education on how to cope with occupational stress is needed. A customized program for novice nurses to overcome the difficulties of interpersonal relations would be helpful.

Background: and Purpose Long-term changes in post-stroke depression (PSD), post-stroke emotional incontinence (PSEI), and post-stroke anger (PSA) have rarely been studied. Methods: This is a sub-study of EMOTION, a randomized, placebo-controlled trial, that examined the efficacy of escitalopram on PSD, PSEI, and PSA in patients with stroke. We interviewed patients at the long-term period (LTP) using predefined questionnaires: Montgomery-Åsberg depression rating scale (MADRS) for PSD, modified Kim’s criteria for PSEI, and Spielberger trait anger scale for PSA. Additionally, the ENRICHD Social Support Instrument (ESSI) for the social support state and the modified Rankin Scale (mRS) were measured. We investigated the changes in and factors behind PSD, PSEI, and PSA at LTP. Results: A total of 222 patients were included, and the median follow-up duration was 59.5 months (interquartile range, 50 to 70). Compared to the data at 6 months post-stroke, the prevalence of PSEI (11.7% at 6 months, 6.3% at LTP; P=0.05) and mean anger score (21.62, 16.24; P<0.01) decreased, while the prevalence of PSD (35.6%, 44.6%; P=0.03) and mean MADRS (6.16, 8.67; P<0.01) increased at LTP. ESSI was associated with PSD and PSA, but not with PSEI. The effect of the baseline National Institutes of Health Stroke Scale score on PSD decreased over time. The effect of low social support on PSD was greater than that of mRS at LTP. Conclusions The prevalence and degree of PSD significantly increased, while those of PSEI and PSA decreased at LTP. PSD in this stage appeared to be more closely associated with a lack of social support than patients' physical disabilities.

Purpose: This study aimed to identify occupational stress and health problems as well as turnover reasons among leavers in novice nurses and to estimate factors which might affect turnover by comparing them to stayers. Methods: In this study, secondary analysis of data gathered from the Shift Work Nurse’s Health and Turnover studies, was carried out. The data were collected from 204 stayers who have been working for 18 months since 2018 and 48 leavers who left within the same period at two tertiary hospitals in Seoul. The reasons for turnover, occupational stress, and 8 types of health problems were recorded. The data were analyzed using SAS 9.4 to obtain descriptive statistics. In parallel, Pearson’s chi-squared test, Fisher’s exact test, and independent t-test were also conducted. Results: The main reasons for turnover were job stress and difficult interpersonal relationships in the workplace. Occupational stress of leavers was higher than stayers, especially in the subscales of interpersonal conflict, organizational system, lack of reward, and occupational climate. Among the 8 types of health problems, the depression prevalence of leavers was higher compared to stayers and showed marginal significance. Unexpectedly, the sleep disturbance prevalence of stayers was significantly higher compared to leavers. Conclusion To reduce the turnover rate of novice nurses, education on how to cope with occupational stress is needed. A customized program for novice nurses to overcome the difficulties of interpersonal relations would be helpful.

Purpose: This study aimed to examine premenstrual symptoms (PMS) of shift nurses and identify the association between PMS, sleep, and occupational stress. Methods: This study was conducted with a secondary data analysis that used data from the Shift Work Nurse’s Health and Turnover study. The participants were 258 nurses who were working in shifts including night shifts. PMS, sleep patterns (sleep time and sleep time variability), sleep quality, and the occupational stress of each participant were measured using the Moos Menstrual Distress Questionnaire, a sleep diary, an actigraph, the Insomnia Severity Index, and the Korean Occupational Stress Scale, respectively. Data were analyzed using SPSS 23 and STATA 15.1 to obtain descriptive statistics, Pearson’s correlation coefficients, multiple linear regression with generalized estimating equations (GEE) and Baron and Kenny’s mediating analysis. Results: The average PMS score, average sleep time, average sleep time variability, average sleep quality score, and average occupational stress score of the participants was 53.95 ± 40.45, 7.52 ± 0.89 hours, 32.84 ± 8.43%, 12.34 ± 5.95, and 49.89 ± 8.98, respectively. A multiple linear regression analysis with GEE indicated that sleep time variability (B = 0.86, p = .001), and sleep quality (B = 2.36, p < .001) had negative effects on nurses’ PMS. We also found that sleep quality had a complete mediating effect in the relationship between occupational stress and PMS. Conclusion These findings indicate that both sleep time variability and sleep quality are important factors associated with PMS among shift work nurses. To improve shift nurses’ PMS status, strategies are urgently needed to decrease sleep time variability and increase sleep quality.

Purpose: The purpose of this study was to identify the quality of sleep in novice and experienced shift work nurses and compare the factors associated with their quality of sleep. Methods: We analyzed the data of 192 and 256 novice and experienced nurses, respectively. The quality of sleep, sleep hygiene, job stress, and fatigue were measured using Insomnia Severity Index, Sleep Hygiene Practice Scale, the Korean Occupational Stress Scale, and Fatigue Severity Scale. Data were analyzed using SPSS 25.0 to calculate descriptive statistics and logistic regression. Results: Sleep quality was lower in experienced nurses (12.55 ± 5.71) than in novice nurses (11.18 ± 5.78). Fatigue was more severe in experienced nurses (4.47 ± 1.13) than in novice nurses (4.23 ± 1.12). In the logistic regression, factors related to sleep quality in novice nurses were sleep hygiene (odds ratio; OR = 1.06, p < .001) and fatigue (OR = 2.49, p < .001). Factors related to sleep quality in the experienced nurses were also sleep hygiene (OR = 1.04, p = .001) and fatigue (OR = 1.53, p = .012). Conclusion Sleep quality of experienced nurses is lower than those of novice nurses. Factors associated with sleep quality in novice and experienced nurses are equally identified as sleep hygiene and fatigue. Therefore, personal efforts to improve sleep hygiene, such as providing comfortable sleep environment, are needed. Furthermore, organized efforts to decrease fatigue, such as constructing a working environment with a bright light at night and providing a fatigue-decreasing program that includes meditation, are required.