Purpose: The purpose of this study was to investigate the sleep patterns and the factors related to sleep disturbance in mechanically ventilated patients in intensive care units (ICUs). Sleep patterns in this study included both quality and quantity of sleep. Methods: Forty-four subjects were recruited in ICUs at a tertiary university hospital in D city. Data were collected using questionnaires, observation, and medical record from June, 2008 to May, 2009. Results: The total mean of sleep quality was $1.99{\pm}1.68$. The mean of total sleep time per 24-hour period was $3.75{\pm}1.94$hour (range 1-7.25) in mechanically ventilated ICU patients. The main sleep disturbance factors were listed as frequent nursing activities, attachment of medical appliances, and noise. All these factors were also significantly related to the sleep quality. Conclusion: These results indicated that mechanically ventilated patients were both qualitatively and quantitatively deprived of sleep far more than other ICU patients. In summary, a deeper understanding of sleep characteristics in mechanically ventilated ICU patients could help nurses to improve sleep derangements and patient outcome.
Purpose: The purpose of this study was to identify the factors affecting sleeping patterns among hospitalized elderly. Methods: A descriptive correlational study was conducted. Participants were 121 hospitalized elderly in a hospital located in a county. A structured questionnaire was used for data collection. Collected data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation, and stepwise multiple regression. Results: Almost a half of hospitalized elderly in this study suffer from sleep disturbances. As results of univariate analyses, physical symptoms, anxiety, depression, and environmental factors disturbed sleep among hospitalized elderly. However, the result of stepwise multiple regression analysis identified that anxiety and environmental factors were significant predictors of sleeping patterns for hospitalized elderly and these two factors accounted 32.5% of variance of sleeping patterns among hospitalized elderly. Conclusion: Sleep assessment should be conducted on admission to identify sleep difficulties and thereby to improve quality of nursing care. Nurses and other health care personnels should make efforts to decrease anxiety and to eliminate environmental barriers of sleep among hospitalized elderly. Educational programs for nursing staff that offer information about sleep and sleep promoting interventions for the elderly patients are critical. Moreover, sleep promotion intervention program should be developed, applied and evaluated.
Purpose: The purpose of this study was to identify the relationship between physical activity and sleep patterns of the elderly. Methods: The subjects of this study were 154 elderly who visited a community senior center in Korea. Data was collected by an interview and a self reported questionnaire, during the period from June to October, 2006. Physical activity was measured by IPAQ Korean version(2006), and sleep pattern by Korean Sleep Scale A developed by Oh et al.(1998). Results: The prevalence of chronic illness in the subjects was 73.4 %. The mean time of vigorous activity was $6.62{\pm}31.27$ minutes/day during the past week. Moderate activity time was $28.85{\pm}50.31$ minutes/day and walking time was $28.85{\pm}50.3$ minutes/day. The total sleep time was $397.63{\pm}111.53$ minutes/day. Physical activity of the elderly significantly correlated with sex, chronic illness, job, and sleep patterns of the elderly. Stepwise multiple regression analysis revealed that the most powerful predictor of sleep pattern was the satisfaction of sleep. A combination of the number of chronic illnesses, moderate physical activities(MET), and total time of sleep accounted for 44.4% of the sleep pattern. Conclusions: Moderate physical activity is more effective than vigorous physical activity for improving the sleep quality of the elderly.
The purpose of this study is to determine whether the NCASA (Nursing Child Assessment Sleep/Activity Record) would be suitable to evaluate and to provide the basic resources for a Korean model of sleep/activity patterns during the first 6 months Korean infants' lives and to provide a basis for nursing intervention for mothers of early infants. The subjects of this study were 94 normal infants from birth to 6 months of age who visited the postpartum care center and two general hospitals located in Pusan from February 1 to April 28, 2000. The method of data collection was through convenient sampling. The instrument of this study was the NCASA translated by the Korean parent Child Health Academic Association. The collected data were analysed by mean, standard deviation, frequency percentage and ANOVA, Post Hoc test by use of SPSS/PC. The conclusions obtained from this study are summarized as follows: 1. The mean amount of daytime sleep was 8.06 hours. The mean amount of nighttime sleep was 6.31 hours. The mean amount of total daily sleep was 14.37 hours. The mean of the longest sleep period was 5.20 hours. The mean regularity of daytime sleep was 25.84%. The mean regularity of nighttime sleep was 77.69%. The mean regularity of total daily sleep was 42.60%. The mean frequency of nighttime wakenings was 2.33 times. 2. The mean amount of daytime activity was 8.25 hours. The mean amount of nighttime activity was 1.39 hours. The mean amount of daily total activity was 9.64 hours. The mean of the longest activity period was 3.80 hours The mean frequency of daytime feeding was 5.69 times. The mean frequency of nighttime feeding was 2.08 times. The mean frequency of total daily feeding was 7.74 times. The mean frequency regularity of feeding was 54.62%. The mean frequency of wakenings was 5.14 times. The mean frequency of crying was 1.90 times. 3. According to an analysis of sleep patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime sleep(p<.001), amount of night time sleep(p<.05), amount of total daily sleep (p<.001), longest sleep period(p<.001), regularity of daytime sleep(p<.001), regularity of nighttime sleep(p<.01), regularity of total daily sleep(p<.001), frequency of nighttime wakenings(p<.001). 4. According to an analysis of activity patterns based on an infant's age, there were some significant differences in the following factors: amount of daytime activity(p<.001), amount of nighttime activity(p<.01), amount of total daily activity(p<.001), longest activity period(p<.05), frequency of nighttime feeding(p<.01), frequency of wakenings(p<.001). 5. The mean amount of a mother's day time was 16.30 hours. The mean amount of a mother's night time was 7.70 hours. In conclusion, the initial irregular sleeping and activity patterns of the early infant became regurized as the infant grew older and estabilished firmer patterns of sleeping and of activity.
Purpose: This study was done to compare sleep patterns, factors of sleep disturbance and sleep enhancement behaviors between sleep disturbance and non-sleep disturbance elderly patients. Method: The participants were 117 patients over 65 years old who were hospitalized at 5 general hospitals in Seoul. There were 83 patients in the good sleeper group and 34 in the poor sleeper group. The survey questionnaires included questions on general characteristics, sleep patterns, sleep disturbing factors, and sleep enhancement behaviors of the patients. Results: For sleep patterns and environmental factors of sleep disturbance, the poor sleepers was significantly higher than that of the good sleepers. Significant differences between good sleepers and poor sleepers were also found on the following variables: Environmental factors of sleep disturbance -'Sound of other patient's or care-giver's', 'Discomfort of bed, linen, pillow and patient's gown', 'Light in the room', 'Emergency situations', 'Temperature of patients rooms too hot or too cold'. The significant physical factor of sleep disturbance was 'Hard to breath even without moving' and for sleep enhancement behaviors: 'Use of ear plugs or eye covers' Conclusion: Consequently it is necessary to develop positive and differentiated programs for sleep enhancement for the inactive and poor sleeper among the elderly patients.
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.
This study was attempted to show basic data for search of nursing intervention about sleep improving in home and institute elderly peoples. Research design was cross-sectional survey method for comparison of sleep patterns and another variables between home and institute elderly peoples. Subjects were sampled by purpose as home and institute elderly peoples at age of 65 or older in Seoul or nearly. The survey questionnaire was used by modification of sleep questionnaire which Kim, O, Song & Bak(1997) developed. Data were collected between December, 1999 and April, 2000. And data were analyzed by SPSS PC+ for purpose of research. Results are as follows: 1. Home and institute elderly peoples, all were change of sleep patterns and sleep pattern was showed early sleeping down. But institute elderly peoples slept earlier than home elderly peoples. 2. As rest of morning, difficulty of falling asleep and disturbance of re-asleep, subjective thinking and feeling were showed more negative thing home elderly peoples than institute elderly peoples. As frequency of falling asleep within 5 min in 1 week, frequency of falling asleep over 30 min in 1 week and frequency of awakening in a day, objective frequency were showed more insomnia institute elderly peoples than home elderly peoples. Home elderly peoples didn't nap most and institute elderly peoples napped on very short time. 3. Regarding sleep-disturbing factors, physical factor was popularly joint-disturbance in all, home and institute elderly peoples. Environmental factor was popularly noise, particularly institute elderly peoples. Emotional factor wasn't all. 4. Practiced strategies for better sleep was popularly TV/Radio in home elderly peoples and were popularly regular sleep and religious action in institute elderly peoples. From the results of this study, home elderly peoples need nursing intervention of improving self-satisfaction on sleep and institute elderly peoples need nursing intervention of decreasing falling asleep-disturbing and decreasing frequency of awakening in sleep.
Purpose: The purpose of this study was to identify the sleep patterns of nursing students using self-report questionnaire and physiologic measurement, to examine the factors influencing sleep patterns in based on Spielman's model. Methods: Participants were 119 nursing students who were in the clinical practice period. Self-report questionnaires and actigraphy were used to collect the data. Data were analyzed using descriptive statistics, correlation and regression by the SPSS/WIN 21.0 programs. Results: When sleep was measured by self-report questionnaire, 84 students (70.6%) showed poor sleep quality. The mean sleep efficiency was 82.6%, and 67 students(56.3%) showed low sleep efficiency (less than 85.0%). The factors affecting subjective sleep pattern measured by KMLSEQ were circadian sleep type (${\beta}=.28$, ${\rho}=.003$) and alcohol (${\beta}=.20$, ${\rho}=.031$). The factors affecting total sleep time were sedentary behavior (${\beta}=-.27$, ${\rho}=.003$) and daytime sleepiness (${\beta}=-.33$, ${\rho}$<.001). Conclusion: Many nursing students in their clinical practice period expressed sleep disturbance. Factors affecting the perceived sleep measured by the self-report questionnaire and objective sleep evaluated by physiologic measures were different. The evening type of students perceived poor sleep quality, however, sedentary life style and daytime sleepiness resulted in short sleep time. Therefore, more studies measuring the objective sleep characteristics are needed using subjective and objective characteristics.
Purpose: This study was conducted to compare and estimate sleep patterns and health status of the shift and non-shift factory workers. Methods: The subjects of this study were 290 male workers in 13 companies, which manufacture automobile parts in Daegu, Korea. Survey data were collected from March 5th, 2007 to April 5th, 2007. PSQI was scored to check the quality of sleep, ESS for excessive daytime sleep disorder, ISI for insomnia, and SF-36 for health status. The data were analyzed by $X^2$ and t-test using SPSS 12.0 for windows. Results: There was a difference in quality of sleep patterns between shift and non-shift workers (p=.033). A difference in the pattern of excessive daytime sleep (P=.005) and in the degree of insomnia (p=.030) were observed between the two groups. However, there were no significant difference in health status between the two groups. Conclusion: Based on these results, shift workers are in need of careful and continuous monitoring regarding sleep disorders and we need to develop health promotion programs including sleep hygiene for shift workers.
Purpose: The objective of this study was to investigate the relationship between fatigue, sleep disturbance, and gestational stress in women during late stage of pregnancy. Methods: This study was conducted with 113 healthy pregnant women at gestational age greater than 27 weeks who were registered at community health centers and received prenatal care. A structured questionnaire regarding fatigue, sleep disturbance, and gestational stress was used. The data was analyzed using a t-test, an ANOVA, and Pearson correlation coefficients. Results: The subjects with unplanned pregnancies and irregular exercise patterns showed a higher level of fatigue than those with planned pregnancies and regular exercise patterns. Pregnant women with caffeine intake manifested higher levels of gestational stress and sleep disturbance than those without. The levels of sleep disturbance and gestational stress increased as the fatigue levels increased. The fatigue levels increased with increased levels of sleep disturbance. Conclusion: Planned pregnancy, regular exercise patterns, and caffeine intake were related with fatigue, sleep disturbance, and gestational stress in women during late stages of pregnancy. Fatigue, sleep disturbance, and gestational stress had close associations to each other. In the future, such results should guide development of nursing intervention programs for women in late stages of pregnancy.
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