Objectives The purpose of this study was to identify differences in sleep by Sasang constitutional type using Pittsburgh Sleep Quality Index(PSQI). Methods The subjects of this study were 3,578 people who had information on Sasang constitutional type and PSQI among the data established at the Korean Medicine Data Center. We compared each item score in PSQI (subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, use of sleep medication, daytime dysfunction) and PSQI global scores by Sasang constitutional type using analysis of variance. Logistic regression was conducted to calculate the odds ratio of poor sleep by Sasang constitutional type. Results & Conclusions The SE type showed statistically significantly higher scores than the TE type and SY type in subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbance, and PSQI global score, indicating poor sleep compared to other constitutional types. The odds ratio for poor sleep also shows that even after adjusting sex, age, height, and weight, the SE type was significantly higher than other constitutional types, indicating that the SE type could be a risk factor for poor sleep.
This paper proposes a virtual sleep sensor in order to monitor sleep disorder for an individual, and presents a therapy service model for the sleep management. PSQI score is usually used clinically to evaluate the levels of sleep disorder. However, The PSQI score which was only gleaned through an interview on a questionnaire can not be accurate because it is difficult to remember something about sleep during the last month. In order to resolve this problem, This paper presented the virtual sleep sensor that has a protocol to receive sleep information through physical sensors and smart algorithm. In addition, the virtual sleep sensor can be contributed to a service model for sleep therapy when it is combined with light therapy and aromatherapy. Finally, based on the findings of the experiment, its effectiveness was confirmed in the proposed model.
Objectives: Sleep problems has been consistently reported as a suicidal risk factor in adults and, recently, also in adolescents. In this study, dividing study subjects by the previous suicidal behaviors (suicidal vs non-suicidal), we compared the group differences of suicidal risk factors, and examined the possibility of sleep as a suicidal risk factor. Methods: Study subjects were 561 (271 boys and 290 girls) from a community sample of high school students. Suicidal Risk Behavior Checklist, Center for Epidemiological Study-Depression (CES-D), Symptom Checklist-90-Revision (SCL-90-R) Anxiety and Aggression subscale, Pittsburg Sleep Quality Index (PSQI) were done. Results: Forty six students (8.1%) reported previous actual self-harm behavior as a suicidal attempt, 181 students (32.4%) reported having suicidal thought only. Three hundred thirty four students (59.5%) reported no previous suicidal behavior (thought and attempt, both). Suicidal behavior group showed higher score on risk behaviors such as school violence, substance use and internet addiction. CES-D, SCL-90-R, PSQI showed significant group difference. Logistic regression analysis showed suicidal risk were significantly associated with depression, stress in suicidal risk factors and sleep latency, daytime dysfunction in PSQI. Analysis of variance (ANOVA) shows the most prolonged sleep latency and increased index of all PSQI components except sleep efficiency in suicidal attempt group. Conclusions: Sleep Problems had a strong association with the suicidal risk behavior in adolescents. Sleep problems, especially, prolonged sleep latency, daytime dysfunction might be important markers for suicidal behavior. Screening for sleep problems in adolescents are encouraged for the parents, school teachers, and related medical physicians.
Park, Sookyoung;Park, Jung-A;Park, Kanghui;Kim, Joo-Heon;Hong, Yonggeun
Sleep Medicine and Psychophysiology
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v.23
no.2
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pp.68-76
/
2016
Objectives: To find evidence that sleep is necessary for normal brain function, thus indicating that declines in both sleep quality and quantity are related to worse performance of many daily tasks and deteriorated physical functions. The present study investigates the relationships of balance control and reaction time with sleep quality. Methods: 58 healthy (male 20, female 38) volunteers with informed consent participated in this study. The Self-reported Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality and relevant factors, and the subjects were divided into groups A (PSQI < 5) and B ($PSQI{\geq}5$) based on this index. Static balance control and reaction time to visual stimuli were conducted to assess their relationship with sleep quality. Results: Group B exhibited excessive daytime sleepiness significantly more often compared to group A. Static balance control did not markedly change relative to sleep quality, but reaction time and error to visual stimuli were significantly increased in group B compared to group A. Conclusion: These findings indicate that a decline in sleep quality can result in delayed reactions, as well as decreased accuracy of these reactions. They also suggest that low sleep quality may be associated with changes in physical functions, including balance control through reduced selective attention.
Objective : The aim of this study was to investigate the relationship between subjective sleep problems and various types of traumatic events of patients with depressive disorder. Methods : A total of 411 patients diagnosed with depressive disorders were recruited in this study. The participants filled out Life Time Events Checklist (LEC), Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory (BDI), and State-Trait Anxiety Inventory (STAI). We used the independent t-test and analysis of covariance to compare each component of PSQI between depressive patients with and without traumatic experiences. Results : The groups of patients who experienced a serious accident at work, home or during recreational activity, sexual assault, other unwanted or uncomfortable sexual experience, life-threatening illness or injury, and sudden, unexpected death of a near and dear one showed lower scores in a few components of PSQI. Sleep disturbance was a common problem in all five groups. Lower subjective sleep quality and longer sleep latency was observed in three groups. There were no differences in the other components of PSQI among groups. Conclusion : This study showed that various types of traumatic events may have different effects on subjective sleep quality as a consequence of the traumatic event which they had experienced.
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.
Ogden, Mustafa;Akgul, Mehmet Huseyin;Yuksel, Ulas;Bakar, Bulent;Kamasak, Kagan;Ozveren, Mehmet Faik
Journal of Korean Neurosurgical Society
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v.61
no.5
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pp.600-607
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2018
Objective : It has been reported in recent studies that 50-80% of patients with cervical disc hernia have concomitant sleep disorders. The aim of this study was to evaluate the quality of sleep before and after surgical treatment in patients with cervical disc hernia and to assess the effects on treatment. Methods : The study included 32 patients performed discectomy and fusion with an intervertebral cage through the right anterior cervical approach. Oswestry Disability Index (ODI), Visual Analog Scale (VAS) and Pittsburgh Sleep Quality Index (PSQI) were applied to all patients preoperatively and at one month postoperatively. Results : The postoperative PSQI total points and all the PSQI subscale points, the ODI and VAS scores were significantly reduced compared to the preoperative values. A positive correlation was determined between the preoperative ODI points and the PSQI total points and sleep duration, sleep latency and daytime functional loss subscale points. A positive correlation was also found between preoperative ODI points and VAS points. A positive correlation was determined between the preoperative VAS points and and the PSQI total points and sleep duration, and sleep latency subscale points. A negative correlation was determined between the postoperative ODI and the daytime functional loss subscale points. Conclusion : The results of the study showed that in patients with cervical disc hernia, sleep quality and daytime functionality were negatively affected by severity of pain that limited daily activities. Bringing the pain under control with surgical treatment was observed to increase sleep quality. It can be concluded that when planning treatment for these patients, it should be taken into consideration that there could be a sleep disorder in addition to the complaints and symptoms such as pain, hypoestesia and loss of strength.
Objectives: This study examined the association of the sleep quality and patterns with the dietary behavior, including snack and beverage consumption, taste preferences, as well as lifestyle of university students. Methods: The subjects were 406 university students in Cheongju, Korea, and the data were collected using a self-administered questionnaire. They were divided into two groups according to the Pittsburgh Sleep Quality Index (PSQI): good-quality sleepers (PSQI score ≤ 5) and poor-quality sleepers (PSQI score > 5). The data were analyzed using a χ2-test, independent t-test, and analysis of covariance using the SPSS 25.0 program. Results: Fifty-two percent of university students were categorized as poor-quality sleepers by the PSQI. Students classified as poor-quality sleepers had delayed bedtimes, and a shorter duration in bed and total sleep hours than the good-quality sleepers did. Poor-quality sleepers were more prevalent among those who were female, having irregular mealtimes, or frequent late night meals. They also consumed fast food frequently, such as fried chicken and hamburgers, and noodles when adjusted for gender. In addition, drinks with caffeine over milk were dominant among poor-quality sleepers. Furthermore, the preferences for spicy and salty tastes and longer smartphone usage were more prevalent in those with poor-sleep quality. Conclusions: These results showed that more than 50% of university students reported disturbed sleep and poor quality sleep was associated with less desirable snack consumption and taste preference, more smartphone usage, and others. Therefore, nutrition education program along with lifestyle changes promoting sufficient sleep are encouraged to provide for university students, particularly those who have poor sleep quality.
Purpose: The purpose of this study was to identify the degree of sleep quality and its associated factors in adults. Methods: The data was collected from 986 adults aged 19 to 64 by convenience sampling. Subjects completed a questionnaire composed of Pittsburgh Sleep Quality Index (PSQI), Beck Depression Inventory, and other questions that self-rated health and sociodemographic variables. Statistical methods used included descriptive statistics, simple logistic regression, and multiple logistic regression analyses. Results: The global PSQI score was 5.7. About 45% of the subjects were poor sleepers (global PSQI score >5). Multiple logistic regression analyses showed that factors significantly associated with sleep quality were depression and poor self-rated health in young and middle-aged adults. Depression was the most significant associated factor. The presence of a spouse was also associated with sleep quality in young adults. Conclusion: These findings suggest that people with poor sleep quality should have their health carefully screened for depression. In addition, we recommend the development of a nursing program for improving sleep quality.
Purpose: To provide the basic data in developing the nursing intervention for patients who have symptoms of insomnia after undergoing hemopoietic stem cell transplantation (HSCT). This was achieved through investigating sleep quality and sleep patterns according to admission time, and discharge time. Methods: Data was put together by studying 52 HSCT patients who have been admitted to the department of HSCT from August 2002 to August 2003, in a university hospital. Research instruments used were, PSQI for sleep quality and a specified questionnaire for sleep patterns. Results: The PSQI regarding the past mono which was measured at the last day of hospitalization, was 11.8. This was significantly higher than 5.3, which was a measurement for the past month before the hospitalization (t=11.41, P=0.000). Looking at it with 7 categories-quality of sleep, consistency of sleep, sleep period, effectiveness of sleep, sleeping disorder, usage of sleeping pills, impediment of daily life- the PSQI for a month after admission increased significantly compared to the rate measured for a month before admission. Comparing the subjects sleep pattern before and after admission, it showed a significant difference regarding time attending sleep, time it takes to sleep, wake-up time, total time of sleep, day time sleep, number of times waking up during sleep, number of usage of sleeping pills, actions that are taken during sleep disorder, reasons for insomnia. Conclusion: The PSQI score of patients who undergo hemopoietic stem cell transplantation have increased significantly after hospitalization. Compared to the change of sleep patterns when hospitalized, significant changes were observed. Therefore nursing interventions addressing sleep are needed.
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