• Journal of Oral Medicine and Pain
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• v.43 no.2
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• pp.27-33
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• 2018

Purpose: Many researchers have established a connection between sleep disturbances and the symptoms of temporomandibular disorder (TMD) in adults, but there are a few studies targeted at adolescents with TMD. The aim of this study was to analyze the sleep pattern of adolescents with TMD and to determine the effect of poor sleep quality on their clinical symptoms. Methods: The subjects were composed of 47 adolescents with TMD. The sleep pattern and preliminary information of patients were measured by self-reported questionnaires; Pittsburgh Sleep Quality Index (PSQI) and Questionnaire for TMD analysis. TMD pain was scored using the Numerical Rating Scale. The Kruskal-Wallis test, Mann-Whitney U test, Fisher's exact test and logistic regression were used for statistical analysis. Results: The poor sleeping group had statistically more females (25.00% males, 75.00% females) than the good sleeping group. As compared with that of good sleepers, sleep quality of poor sleepers was significantly worse in the items of subjective sleep quality, sleep latency, sleep duration, sleep disturbances, daytime dysfunction and global PSQI score. The sleep time of adolescents was much longer during vacation ($7.20{\pm}1.38hours$) than during school days ($6.10{\pm}1.26hours$). Poor sleep of patients was associated with the pain in the ear or in front of the ear, in the face, jaw, throat or temple and in neck or back. Adolescents with pain in those areas had significantly higher proportion of poor sleepers than adolescents with no pain in those areas. Conclusions: The high ratio of girls in poor sleeping group could reflect the greater prevalence of TMD in women than in men. Pain in peri-temporomandibular joint areas, neck or back could negatively influence sleep quality of adolescents with TMD.

• Sleep Medicine and Psychophysiology
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• v.6 no.2
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• pp.97-101
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• 1999

Sleep disorders are relatively common occurrence after traumatic brain injury. Sleep disturbances often resulted in difficulties in sleep onset and sleep maintenance, nonrestorative after sleep, poor daytime performances and poor individual sense of wellbeing. Unfortunately, there has been minimal attention paid to this common and disabling sequela of brain injury. Better undertanding about problem, pathophysiology and treatment of sleep disorder after traumatic brain injury will improve the cognitive function, social adjustment and rehabilitation for injured patients. Also it may be helpful to reduce traumatic brain injury in patients with sleep apnea.

• 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.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.1
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• pp.42-46
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• 2021

The purpose of this study was to investigate the relationship between sleep quality and sleep duration according to individual characteristics, and the relationship between sleep quality and cold type. A total of 1998 participants aged 30-55 who participated in a community cohort study at KIOM's Oriental Medicine Data Center (KDC) was analyzed. Cold type was diagnosed with a common the Questionnaire of Cold Pattern Identification (8 items). Sleep quality was assessed by the Pittsburgh Sleep Quality Index. The participants in this study were classified into 1193 with cold type and 805 with non-cold type. The poor sleep quality was found in more women than men, and the Body Mass Index (BMI) was higher in the non-cold type. In the cold type group, average sleep quality was poor and sleep duration was short. There was a statistically significant correlation between cold score, sleep quality, and sleep duration. Cold type was related to the sleep quality. The risk of poor sleep quality increased 1.46 with increased cold type (95% CI = 1.16-1.84, p <.001). In particular, it was found that various programs to improve the quality of sleep, focusing on the cold type among personal characteristics, are needed to maintain adequate sleep to improve the sleep quality. In the future, when analyzing the relationship between cold type and sleep quality, it is thought that an attempt to derive other objective quantitative indicators is needed.

• Journal of Preventive Medicine and Public Health
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• v.54 no.5
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• pp.317-329
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• 2021

Objectives: The aim of this study was to identify the association between cohabitation status and sleep quality in family members of people with dementia (PwDs). Methods: Data of 190 365 participants aged ≥19 years from the 2018 Korea Community Health Survey were analyzed. Participants were categorized according to their cohabitation status with PwDs. Multiple logistic regression and ordinal logistic regression analyses were performed to evaluate the relationship between the cohabitation status of PwDs' relatives and sleep quality measured using the Pittsburgh Sleep Quality Index (PSQI) and PSQI subscales. Results: Compared to participants without PwDs in their families, both cohabitation and non-cohabitation with PwDs were associated with poor sleep quality (cohabitation, male: odds ratio [OR],1.28; 95% confidence interval [CI], 1.08 to 1.52; female: OR, 1.40; 95% CI, 1.20 to 1.64; non-cohabitation, male: OR, 1.14; 95% CI, 1.05 to 1.24; female: OR, 1.23; 95% CI, 1.14 to 1.33). In a subgroup analysis, non-cohabiting family members showed the highest odds of experiencing poor sleep quality when the PwD lived alone (male: OR, 1.48; 95% CI, 1.14 to 1.91; female: OR, 1.58; 95% CI, 1.24 to 2.01). Cohabiting male and female participants had higher odds of poor subjective sleep quality and use of sleeping medications than non-cohabiting male and female participants, respectively. Conclusions: The residence of PwDs and cohabitation status may contribute to poor sleep quality among PwDs' family members. The circumstances faced by cohabiting and non-cohabiting family members should be considered when evaluating sleep quality in family members of PwDs, and appropriate interventions may be needed to improve sleep quality in both cohabiting and non-cohabiting family members.

• Journal of Sasang Constitutional Medicine
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• v.36 no.1
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• pp.13-30
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• 2024

Objectives This study aimed to analyze the influence of various sleep-related factors that affect sleep quality by each Sasang type. Methods A total of 400 subjects were included for this study, 108 males and 292 females. Sasang type was diagnosed using the SCAT. Then, the characteristics of each Sasang type were analyzed using HRV, DITI, and PSQI, PSS, and SDFI questionnaires. Logistic regression analysis was used to predict sleep-related factors that affect sleep disorders by Sasang types. Results This study shows that the pathophysiological characteristics for stress and digestive function of each Sasang type can differentiate sleep management through a logistic regression model including subscales of PSS and SDFI. Stress had no effect on the occurrence of sleep disturbance within only So-Eum, since the stress level is originally high in the So-Eum regardless of sleep quality. Rather, decreased appetite and poor eating habits had a significant impact on the decline in sleep quality. In addition, poor digestion and eating habits in So-Yang had a greater impact and poor digestion in Tae-Eum had a greater impact on the decline in sleep quality. Conclusion The stress and subscales of digestive function provide differentiated sleep management in So-Yang, Tae-Eum, and So-Eum types. The individualized sleep management for each Sasang type with statistically validated PSS and SDFI would be useful for sleep-related experts planning safe and effective person-centered health care as well as for Western clinicians who want to incorporate Sasang typology into their treatments as integrative medical technique in the future.

• Science of Emotion and Sensibility
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• v.15 no.4
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• pp.453-468
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• 2012

This study investigated the effects of Lavandula angustifolia (L. angustifolia) aroma on the brain electrical activity evaluated by an electroencephalogram (EEG) in the male adults since many researches were performed with females and few with males. Sleep quality of 35 male adults were analyzed by Pittsburgh sleep quality index, and they were divided into two groups of good sleep quality and poor sleep quality. EEG electrodes were attached at the frontal (F3, F4), temporal (T3, T4), occipital (O1, O2), and parietal (P3, P4) regions according to the International 10-20 system. EEG was measured for 3 min per each period of before, during, and after L. angustifolia aromatherapy. Subjects with good sleep quality showed increases in the delta power at the parietal region of both cerebral hemispheres and in the theta power at the temporal region of right hemisphere (p<0.05), and a decrease in the alpha at the parietal region of both cerebral hemispheres (p<0.05). And subjects with poor sleep quality showed increases in the delta power at the frontal region of left cerebral hemisphere and in the theta power at the frontal region of both hemispheres (p<0.05). It is concluded that L. angustifolia aroma has effects on decreasing an awakening status related-brain wave and increasing the sleep status related-brain waves in the male adults with good sleep quality, and has also effects on increasing the sleep status related-brain waves in the male adults with poor sleep quality.

• The Journal of Internal Korean Medicine
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• v.45 no.3
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• pp.342-357
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• 2024

Background: Cold hypersensitivity (CH) and sleep disorders are not limited to patients with specific diseases, as they are also commonly observed in the general population. The objective of this study was to investigate the relationship between CH and sleep quality. Methods: This cross-sectional study analyzed data from a cohort of 5,052 individuals living in South Korea. Based on the results of a questionnaire on CH, the participants were classified into four groups: non-CH, CH in the hands (CHH), CH in the feet (CHF), and CH in the hands and feet (CHHF). Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI). Multiple regression was used for groupwise comparisons of total PSQI scores and the scores for each component, and logistic regression was used to find the odds ratios of being a "poor sleeper" (PSQI≥8.5). Results: The CHF and CHHF groups showed significantly higher scores than the non-CH group on the overall PSQI as well as on the following sleep components: subjective sleep quality, sleep latency, habitual sleep efficiency, sleep disturbance, and sleep medication use. The odds ratios for being a "poor sleeper" were significant in the CHF (1.84; CI=1.38-2.43) and CHHF groups (1.54; CI=1.25-1.89), but the CHH group did not show any difference from the non-CH group. We identified a correlation between CH in the feet and poor sleep quality. Conclusions: These findings help to elucidate the relationship between sleep and CH and highlight the need to clarify the underlying mechanism.

• Journal of the Korean Society of School Health
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• v.29 no.2
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• pp.98-106
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• 2016

Purpose: The purpose of this study was to examine the relationship between sleep quality and mental health among adolescents and identify the factors relating to mental health. Methods: The subjects consisted of 285 middle school students. The data were collected from May $2^{nd}$ to $27^{th}$, 2016. The data were analyzed using t-test, ANOVA, Pearson's correlation coefficient and multiple linear regression with SPSS ver. 21. Results: The mean score for quality of sleep in adolescents was $4.20{\pm}2.64$, and the mean score for mental health was $13.67{\pm}12.93$. Poor sleepers showed higher scores for mental health than good sleepers. Mental health was found to have a positive correlation with both stress and quality of sleep. Stress and sleep quality were found to be significant factors influencing mental health and explained 59% of the variance in mental health. Conclusion: These findings indicate that effective intervention programs enhancing sleep quality should be provided for adolescents in order to prevent poor mental health.

• Safety and Health at Work
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• v.7 no.2
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• pp.111-119
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• 2016

Background: Shift work and/or sleep quality may affect health. We investigated whether shift work and sleep quality, separately and jointly, were associated with abnormal levels of triglycerides, total cholesterol (TC), and low-and high-density lipoprotein cholesterol in 360 police officers (27.5% women). Methods: Triglycerides, TC, and high-density lipoprotein were analyzed on the Abbott Architect; low-density lipoprotein was calculated. Shift work was assessed using City of Buffalo payroll work history records. Sleep quality (good, ${\leq}5$; intermediate, 6-8; poor, ${\geq}9$) was assessed using the Pittsburgh Sleep Quality Index questionnaire. A shift work + sleep quality variable was created: day plus good sleep; day plus poor sleep; afternoon/night plus good; and poor sleep quality. Mean values of lipid biomarkers were compared across categories of the exposures using analysis of variance/analysis of covariance. Results: Shift work was not significantly associated with lipids. However, as sleep quality worsened, mean levels of triglycerides and TC gradually increased but only among female officers (age- and race-adjusted p = 0.013 and 0.030, respectively). Age significantly modified the association between sleep quality and TC. Among officers ${\geq}40$ years old, those reporting poor sleep quality had a significantly higher mean level of TC ($202.9{\pm}3.7mg/dL$) compared with those reporting good sleep quality ($190.6{\pm}4.0mg/dL$) (gender- and race-adjusted p = 0.010). Female officers who worked the day shift and also reported good sleep quality had the lowest mean level of TC compared with women in the other three categories (p = 0.014). Conclusion: Sleep quality and its combined influence with shift work may play a role in the alteration of some lipid measures.