• Sleep Medicine and Psychophysiology
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• v.9 no.2
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• pp.86-95
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• 2002

Various sleep-related problems are common in pregnant women. Sleep disorders may result in intrauterine growth restriction as well as harm to pregnant women. Pharmacotherapy of sleep disorders in pregnancy require cautious judgement. All physicians managing sleep-related problems of pregnant women in clinical practice need to understand sleep-related problems and their management in pregnancy. Therefore, I have reviewed the literature on normal sleep, sleep disorders and their management in pregnancy.

• 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.

• Journal of Korea Multimedia Society
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• v.18 no.12
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• pp.1538-1546
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• 2015

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.

• Sleep Medicine and Psychophysiology
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• v.27 no.1
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• pp.8-15
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• 2020

Sleep disorder in chronic obstructive pulmonary disease (COPD) is common and typically is associated with oxygen desaturation. The mechanisms of desaturation include hypoventilation and ventilation to perfusion mismatch. Despite the importance of sleep in patients with COPD, this topic is under-assessed in clinical practice. Impaired sleep quality is associated with more severe COPD and may contribute to worse clinical outcomes. Recent data have indicated that specific respiratory management of patients with COPD and sleep disordered breathing improves clinical outcomes. Clinicians managing patients with COPD should pay attention to and actively manage symptoms of comorbid sleep disorders. Management of sleep-related problems in COPD should particularly focus on minimizing sleep disturbance.

• Korea Journal of Hospital Management
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• v.25 no.3
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• pp.67-77
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• 2020

Background: As of 2016, average Koreans sleep 7 hours and 42 minutes, the lowest figure among Organization for Economic Cooperation and Development(OECD) countries, and the number of people with sleep disorders reached 561,000. Accordingly, the government has promoted the provision of 'Multiple Sleep Test' to strengthen the diagnosis service for patients with 'sleep disorder' in july 2018. As a result, healthcare costs for patients with sleep disorder is on the rise every year. In this study, we utilized 'Appropriate Sleep' criteria of United States's National Sleep Foundation(NSF) then investigated Korean's sleep pertinence using ｢7th National Health and Nutrition Survey for 2016-2018」 by different occupational type, demographic characteristics, socio-economic characteristics, and health behaviors. Methods: We performed descriptive analysis to examine differences of sleep appropriateness by various sample characteristics. Multivariate logistic regression models were used to examine sleep appropriateness by occupational type and other variables. We also analyzed subgroup models to investigate. Results: As a result, a total of 1,948 (18.37%) study subjects experienced in-appropriate sleep. Results of the Multivariate logistic regression analysis revealed that blue color group had a higher odds ratio (OR) for experiencing in-appropriate sleep (OR=1.179). In addition, the odds ratio of experienced in-appropriate sleep among the elderly aged 70 and over was 2.698, and the odds ratio of the overstressed group was 1.299. Furthermore, sub-group analysis showed that blue color job of female(Or=1.334), high school or below(OR=1.404), divorce/death/separation(OR=2.039), 25%ile-50%lie income group(OR=1.411) more likely experienced in-appropriate sleep. Conclusion: Growing sleep disorder patients and related health care costs are expected. Government should apply detailed 'total periodic sleep disorder management policy' including pre-consultation, examination, diagnosis, treatment, post-consultation, self-management especially to vulnerable population that this study found.

• Sleep Medicine and Psychophysiology
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• v.20 no.1
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• pp.10-14
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• 2013

Sleep disturbances are commonly encountered problems in cancer patients. Sleep has a role in maintenance of immunity, metabolism, and quality of life but little has been known about the prevalence, risk factors, and effects on prognosis of sleep disturbances in patients with cancer. Also little attention has been made on proper assessment and management of sleep disorders in these patients. Recently, there have been some reports that sleep disorders are related with development of many cancers such as breast, colorectal, prostate, and endometrial cancers. An intermittent hypoxia and a disruption of circadian rhythm are considered as one of the possible mechanisms of cancer developments. More aggressive evaluation and meticulous management of sleep disturbances in cancer patients are essential to improve quality of life as well as prognosis.

• Sleep Medicine and Psychophysiology
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• v.3 no.2
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• pp.56-64
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• 1996

The sleeplessness in childhood is quite different from that in adulthood in terms of causes, developmental process, and treatment. Sleep behavior in childhood is strongly influenced by parental personality and familial and cultural background. In understanding and management of sleeplessness of children, it is especially important to understand the separation anxiety and the ways of its management in bedtime because bedtime routine with children one of separation process from parents. Co-sleeping, parental intervention, transional object and bedtime routines can be appeared in order to reduce the anxiety from bedtime separation. Causes of sleeplessness in infant and toddler are bad sleep-onset association, nocturnal drinking, colic, and food allergy. In preschool and school aged children, limit-setting sleep problem and fears and nightmare can be causes of sleeplessness. When good sleep environment and habits are established sound sleep and more mature personality can be developed.

• Journal of Family Resource Management and Policy Review
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• v.21 no.3
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• pp.141-159
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• 2017

The main purpose of this study is to investigate factors that influence sleep duration and sleep time poverty in terms of family characteristics, child characteristics, and time use. A series of data analyses were conducted on children's time use in two-parent families based on the 2013 Korean Children and Youth Panel Survey. One major finding is that children's sleep duration and the probability of having a sleep time poverty are related to their mothers' job classifications. The factors influencing the duration of sleep time and the sleep time poverty are similar in terms of family characteristics and children's time use. The mother's job classification, family income, number of younger siblings, number of older siblings, children's private tutoring hours, computer game hours, and TV hours are statistically significant factors affecting the duration of sleep time and the probability of having a sleep time poverty. However, the factor with greatest influence on sleep time duration is private tutoring hours and the factor most affecting sleep time poverty is computer game hours. The mother's job classification is a relatively powerful determinant for predicting her children's sleep duration and sleep time poverty.

• Journal of Preventive Medicine and Public Health
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• v.47 no.3
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• pp.150-157
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• 2014

Objectives: The decrease or increase in sleep duration has recently been recognized as a risk factor for several diseases, including hypertension and obesity. Many studies have explored the relationship of decreased sleep durations and injuries, but few have examined the relationship between increased sleep duration and injury. The objective of this research is to identify the risk for injury associated with both decreased and increased sleep durations. Methods: Data from the 2010 Community Health Survey were used in this study. We conducted logistic regression with average sleep duration as the independent variable, injury as a dependent variable, and controlling for age, sex, occupation, education, region (cities and provinces), smoking, alcohol use, body mass index, hypertension, diabetes, arthritis, and depression. Seven categories of sleep duration were established: ${\leq}4$, 5, 6, 7, 8, 9, and ${\geq}10$ hours. Results: Using 7 hours of sleep as the reference, the adjusted injury risk (odds ratio) for those sleeping a total of ${\leq}4$ h/d was 1.53; 1.28 for 5 hours, for 1.11 for 6 hours, 0.98 for 8 hours, 1.12 for 9 hours, and 1.48 for ${\geq}10$ hours. The difference in risk was statistically significant for each category except for the 8 and 9 hours. In this study, risk increased as the sleep duration decreased or increased, except for the 8 and 9 hours. Conclusions: This research found that either a decrease or increase in sleep duration was associated with an increased risk for injury. The concept of proper sleep duration can be evaluated by its associated injury risk.

• Women's Health Nursing
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• v.27 no.4
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• pp.358-367
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• 2021

Purpose: This study aimed to identify factors associated with diabetes management self-efficacy in pregnant women with gestational diabetes mellitus (GDM) in Korea. Methods: A total of 173 pregnant women with GDM in Korea were recruited by posting announcements at two Korean online communities focusing on pregnancy and GDM. Participants completed a structured online survey from July to September 2018. Thirteen inappropriate responses were excluded and a total of 160 questionnaires were used in the final analysis. Descriptive statistics were calculated and multiple regression with the enter method was done to identify the associations of depressive mood, anxiety, emotional intelligence, and sleep quality with diabetes management self-efficacy. Results: Respondents reported a moderately depressive mood (mean, 10.36), low to moderate anxiety (mean, 41.65), above-average emotional intelligence (mean, 78.04), moderate sleep quality (mean, 42.01), and above-average diabetes management self-efficacy (mean, 52.29). The major factor associated with diabetes management self-efficacy of pregnant women with GDM was emotional intelligence (β=.51, p<.001). Other factors, in descending order of influence, were sleep quality (β=.22, p<.001) and exercise (β=.18, p=.004). Taken together, the aforementioned factors explained 34.6% (F=39.53, p<.001) of the total variance. Conclusion: The results of this study suggest that to improve the diabetes management self-efficacy of pregnant women with GDM, it is necessary to develop an education program that can also enhance emotional intelligence, sleep quality, and exercise.