The Journal of Korean Society for School & Community Health Education
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v.17
no.3
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pp.103-116
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2016
Objectives: The purpose of this study was to compare the differences of sleep quality, fatigue and depression between school lessons and clinical practicum term in nursing students. Methods: This study was conducted through a survey on 84 $4^{th}$ grade nursing students. Data collection was conducted from April to June, 2015. Participants completed a questionnaire assessing sleep quality, fatigue and depression. Data were analyzed by the SPSS/WIN 21.0 using descriptive statistics, paired t-tests, ANOVAs, Pearson's correlations and multiple regression. Results: The mean scores of fatigue and depression during the school lesson were significantly high compared to those of the clinical practicum. On the contrary, the score of sleep quality did not showed difference. Sleep quality showed negative correlations with fatigue and depression respectively, and fatigue showed positive correlation with depression. Subjective health status was the influential factor predicting fatigue and depression after school lessons, and subjective health status and major satisfaction were the influential factors predicting fatigue and depression after clinical practicum term. Conclusions: Nursing students showed different characteristics between school lessons and clinical practicum term. Thus, it is essential to identify physical and psychological problems and related factors respectively, then to devise appropriate programs to improve nursing curriculums.
International Journal of Advanced Culture Technology
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v.10
no.3
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pp.47-56
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2022
The purpose of this study is investigate the effects of quality of life and occupational performance on quality of sleep in college students. Data had been collected from Sep. 1 to Sep. 30, 2021. The subjects of this study were students majoring in occupational therapy at C College situated in C region. For analysis, 103 copies of questionnaire were used. As study instruments, a structured questionnaire incorporating questions about general characteristics, and measurement scales for quality of life, quality of sleep, and occupational performance evaluation were applied. Subjective sleep quality and sleep latency of study participants had lower scores than other components. According to the analysis on different quality of sleep depending on general characteristics, women had more sleep disturbances as they didn't have any part-time job. In terms of the correlation between quality of sleep and quality of life, physical health and total score (quality of life) had correlations with daytime dysfunction. With regard to influential factors on quality of sleep, rest & sleep as a domain of occupational performance and work affected quality of sleep. Students' quality of sleep will be improved if they keep regular habits of living, have rest appropriately for alleviating their stress, and do their jobs with interest and successfully according to a procedure. It is expected that the results of this study will be helpful to care for the health of would-be experts in charge of national health care.
Schizophrenia is a chronic, currently incurable, and devastating syndrome. Although sleep disturbances are not primary symptoms of schizophrenia, they are important aspects of schizophrenia. Difficulties initiating or maintaining sleep are frequently encountered in patients with schizophrenia. Many schizophrenics report low subjective sleep quality. Measured by polysomnography, increased sleep latency as well as reduced total sleep time, sleep efficiency, slow wave sleep, and rapid eye movement sleep latency (REM latency), are found in most patients with schizophrenia and appear to be an important aspect of the pathophysiology of this disorder. Some literatures suggest that worsening sleep quality precedes schizophrenic exacerbations. Co-morbid sleep disorders such as obstructive sleep apnea (OSA) and restless legs syndrome (RLS), and sleep-disrupting behaviors associated with schizophrenia may lead to sleep disturbances. Clinicians should screen the patient with sleep complaints for primary sleep disorders like OSA and RLS, and carefully evaluate sleep hygiene behaviors of all patients with schizophrenia who complain of sleep disturbances.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.5
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pp.451-458
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2018
This study was conducted to determine the association between quality of sleep (QOL) and the general characteristics, the health-behavioral factors, and the occupational characteristics of firefighting officers. The survey was conducted in October 2016 with a self-administered questionnaire using the Pittsburgh Sleep Quality Index (PSQI) developed by Pittsburgh University, targeting 600 male firefighting officers working at five fire stations in D city. As a result, the QOL of the study subjects measured by the PSQI revealed 13.2% to be good, and 86.8% to be poor. In relation to general characteristics and health habits, the rate of the group who had poor quality sleep was significantly higher in those with a lower subjective health status, in the non-smoking group, and in the low sleep-quality group, compared to the good sleep-quality group. For occupational characteristics, the rate of those with poor quality sleep was significantly higher in groups such as the fire suppression group, the shift work group, the hard physical labor group, the group with a lower sense of satisfaction in their work, and in the group classed as unfit for the job but who were not considering quitting their jobs, compared to their respective counterparts. Multiple regression analysis revealed factors of influence with explanatory powers of 24.4% for subjective health status, alcohol use, subjective quality of sleep, career, job position, and physical labor. The results of this study suggest that the quality of sleep for firefighting officers is significantly related to general characteristics, health-behavioral characteristics, and occupational characteristics.
Journal of the Korea Academia-Industrial cooperation Society
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v.12
no.10
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pp.4467-4474
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2011
The purpose of this study was to examine the factor of the quality of elderly women's sleep. The subjects in this study were 198 elderly women who were at the age of 60 and up. One instrument used to assess their quality of sleep was Buysse, et. al.(1989)'s Pittsburgh Sleep Quality Index(PSQI), and the other used to check their urinary incontinence was Jackson, et. al.(1996)'s Urination Symptom Inventory. The collected data were analyzed by the statistical package SPSS 18.0. The elderly women got $7.09{\pm}4.29$ in the quality of sleep of the PSQI, and 67.7 percent suffered from sleep disorders. Among the subfactors of the PSQI, their subjective quality of sleep was low, and the quality of sleep during, sleep latency was low as well. And their sleep disturbance was great. In contrast, the effectiveness of their habitual sleep was relatively good, and they didn't take medicine such as a sleep pill a lot, and their functional sleep disorder in the daytime wasn't great. There were differences in the quality of sleep according to their education, financial state, self-rated health status and family relations, and whether they worked out on a regular basis or not made a difference to that as well. No differences were found according to age, religion, occupation and having a coffee or not. There was a positive correlation between their quality of sleep in the PSQI and urinary incontinence(r=.51, p=.000). Out of the subfactors of the PSQI, the sleep disturbance factor was most closely linked to urinary incontinence(r=.465, p=.001). Finally, urinary incontinence and subjective health status were identified as the variables that exerted a statistically significant influence on the quality of sleep. Those variables made a 31% prediction of it.
Purpose: The purpose of this study was to compare the quality of sleep with the serum lipid profile in patients who have restless legs syndrome (RLS). Methods: The data were obtained from 116 patients with RLS through questionnaires and blood sampling. Results: The results of this study showed correlations between lower quality of sleep and serum lipid profile (LDL Cholesterol) in patients with RLS (r=.19, p=.040). There were correlations for scores of quality of sleep from the, Pittsburgh Sleep Quality Index (PSQI) sub-region between lower subjective sleep quality and serum lipid profile (LDL Cholesterol) (r=.20, p=.026), between fewer hours of sleep duration and serum lipid profile (Total Cholesterol) (r=-.21, p=.024), and, between higher daytime dysfunction and serum lipid profile (LDL Cholesterol) (r=.42, p<.001) of patients with RLS. Conclusion: Pati-ents with RLS have sleep disorders with lower quality of sleep and changes in the serum lipid profile for total cholesterol and LDL cholesterol. That is, patients with RLS have lower quality of sleep and dyslipidemia compared to persons without RLS. Further research is needed to monitor serum the lipid profile in early stage symptoms of midlife adult patients with RLS and especially older women.
Journal of Physiology & Pathology in Korean Medicine
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v.34
no.1
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pp.37-44
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2020
Previous studies have reported an association between poor sleep and various symptoms and diseases, such as fatigue, obesity, depression, and anxiety. The effects of poor sleep may differ by age and sex. In addition, sleep characteristics and their effects may vary according to Sasang constitutional type. The aim of this study was to investigate the associations between sleep quality, fatigue, and quality of life and to assess whether these differ by constitutional type. Participants were individuals aged 40-69 years living in two Korean communities in 2012-2014. Sleep quality, fatigue, and quality of life were measured using the Pittsburgh Sleep Quality Index (PSQI), the Fatigue Severity Scale, and the 12-item Short Form Health Survey, respectively. The effects of total PSQI score and PSQI component scores were analyzed using a generalized additive model. A Korean Sasang constitutional diagnostic questionnaire was used to assess Sasang constitution. Data for 5,793 participants were analyzed. Poor sleep quality was related to greater fatigue, and lower physical and mental quality of life. The PSQI components including subjective sleep quality, sleep latency, sleep disturbances, use of sleep medications, and daytime dysfunction were associated with fatigue and physical and mental quality of life. Sleep quality was significantly lower in So-Eum compared to So-Yang and Tae-Eum. PSQI component scores for fatigue and quality of life differed significantly by Sasang constitution: for Tae-Eum, sleep latency and use of sleep medications; for So-Eum, daytime dysfunction; and for So-Yang, use of sleep medications and daytime dysfunction. The effects of different aspects of sleep quality differ by Sasang constitution. To improve sleep quality, interventions need to be tailored to constitutional type.
Lee, Woo Hyung;Kim, Eun Jin;Oh, Kang Seob;Shin, Dong Won;Shin, Young Chul;Lim, Se Won
Anxiety and mood
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v.12
no.2
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pp.97-102
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2016
Objective : This study aimed to quantify the degrees of insomnia, depression and anxiety felt by employees, and to understand which components of insomnia affect depression and anxiety. Methods : One thousand employees who had medical checkups from January to December 2014 in the Workplace Mental Health Institute of Kangbuk Samsung Medical Center were selected randomly. Sleep quality, depression, and anxiety were rated using the Pittsburgh Sleep Quality Index (PSQI), the Center for Epidemiologic Studies Depression scale (CES-D), and the Beck Anxiety Inventory (BAI), respectively. Good and poor sleepers were divided into two groups according to their total PSQI score : ${\leq}5$ for good sleepers or >5 for poor sleepers. Results : Of 998 employees, 742 (74.35%) had PSQI total scores below 5, and 256 (25.65%) had scores over 5. Multivariate linear regression analysis using the 7 components of PSQI versus BAI, and CES-D scores revealed that subjective sleep quality, daytime dysfunction, sleep disturbance, sleep latency and sleep duration components were significantly associated with both BAI and CES-D. Conclusion : Among the components of insomnia, subjective sleep quality and daytime dysfunction were most strongly associated with depression and anxiety.
Purpose: This study was conducted to identify relationships among circadian types, sleep quality, and adaptation to night shifts among nurses working on two or three day night duties. Methods: The participants were 199 ward nurses from two university hospitals in Gyeongnam province. Each nurse worked on two or three day night duties. Data were collected between September 24 and October 14, 2012 and analyzed using t-test, ANOVA, $Scheff{\grave{e}}$ test, Pearson correlation, and multiple regression with SPSS/WIN 14.0 program. Results: Mean scores for sleep quality and adaptation to night shifts was $4.92{\pm}1.46$ on a 10-point scale and $2.66{\pm}0.47$ on a 5-point scale respectively. There were no significant differences in sleep quality and adaptation to night shifts according to circadian types of nurses. There were significant correlation between sleep quality and adaptation to night shifts (r=.25, p<.001). Factors affecting adaptation to night shifts were preference for night shifts, and subjective health status, which together explained about 35% of the total variance. Conclusions: Nurses working on two or three day night duties had low level of sleep quality and adaptation to night shifts. It is necessary to improve preference for night shifts and subjective health status for improving adaptation to night shifts of nurse.
Journal of the Korea Academia-Industrial cooperation Society
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v.14
no.6
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pp.2926-2934
/
2013
The purpose of this study is to investigate the correlation between the job stress and the quality of sleep about 119 rescue workers also improve the quality of sleep through the efficient management of job stress. The questionnaires were distribute to 263 person of 119 rescue workers, and the collected data were analyzed by SPSS 18.0 Program. The results of the analysis were quality of sleep was not good as 7.73 and there were little noticeable gap as location, subjective health condition, caffeine uptake, experience of the first aid denial. There was significant difference between job stress and quality of sleep. After multiple regression analysis, subjective health condition, caffeine uptake, experience of the first aid denial were main causes. In conclusion, job stress had a bad influence on quality of sleep.
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