• Tuberculosis and Respiratory Diseases
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• v.86 no.2
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• pp.111-119
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• 2023

Background: The objective of this study was to investigate whether alcohol consumption might affect the quality of life (QOL), depressive mood, and metabolic syndrome in patients with obstructive lung disease (OLD). Methods: Data were obtained from the Korean National Health and Nutrition Examination Survey from 2014 and 2016. OLD was defined as spirometry of forced expiratory volume in 1 second/forced vital capacity <0.7 in those aged more than 40 years. QOL was evaluated using the European Quality of Life Questionnaire-5D (EQ-5D) index. Patient Health Questionnaire-9 (PHQ-9) was used to assess the severity of depressive mood. Alcohol consumption was based on a history of alcohol ingestion during the previous month. Results: A total of 984 participants with OLD (695 males, 289 females, age 65.8±9.7 years) were enrolled. The EQ-5D index was significantly higher in alcohol drinkers (n=525) than in non-alcohol drinkers (n=459) (0.94±0.11 vs. 0.91±0.13, p=0.002). PHQ9 scores were considerably lower in alcohol drinkers than in non-alcohol drinkers (2.15±3.57 vs. 2.78±4.13, p=0.013). However, multiple logistic regression analysis showed that alcohol consumption was not associated with EQ-5D index or PHQ-9 score. Body mass index ≥25 kg/m², triglyceride ≥150 mg/dL, high-density lipoprotein <40 mg/dL in men and <50 mg/dL in women, and blood pressure ≥130/85 mm Hg were significantly more common in alcohol drinkers than in non-alcohol drinkers (all p<0.05). Conclusion: Alcohol consumption did not change the QOL or depressive mood of OLD patients. However, metabolic syndrome-related factors were more common in alcohol drinkers than in non-alcohol drinkers.

• Sleep Medicine and Psychophysiology
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• v.11 no.2
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• pp.95-99
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• 2004

Objectives: Although many studies on seasonal variations in mood and behavior have been carried out in foreign countries, no such study has previously been undertaken in Korea. The goal of this study was to estimate the frequency of seasonal variations in mood and behavior among Korean medical students. Methods: 297 medical students from Korea University College of Medicine participated in this study. The subjects were surveyed with a Korean translation of the Seasonal Pattern Assessment Questionnaire (SPAQ), and their responses were evaluated for seasonal patterns of mood and behavioral change, including seasonal affective disorder (SAD) and subsyndromal seasonal affective disorder (S-SAD), derived from the case-finding criteria of Kasper et al. Results: The mean global seasonality score was 6.6 (SD=3.6). 83.5% (N=248) of the subjects reported some changes in behavior and mood associated with the seasons. Only 3.7% (N=11) reported no behavioral changes across the seasons. Total prevalence rates were 15.2% for SAD, and 2.7% for S-SAD. The estimated frequencies were 3.0% for summer SAD, 2.7% for summer S-SAD, 11.4% for winter SAD, and 5.8% for winter S-SAD. The prevalence rates for winter SAD or S-SAD were higher than the prevalence rates for summer SAD or S-SAD. Conclusion: These results suggest that seasonal variations in mood and behavior are common among Koreans. The higher prevalence rate of winter SAD or S-SAD than summer SAD or S-SAD is consistent with most western studies and stands in contrasts to studies in other Asian countries, such as Japan and China.

• Korean Journal of Adult Nursing
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• v.14 no.1
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• pp.144-153
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• 2002

Purpose: The purpose of this study was to describe the premenstrual syndrome and the relationships among premenstrual syndrome, automatic thought, and perfectionism. Methods: The 164 subjects were selected from a nursing college in Tae-Jeon. The data were collected using the PAF, ATQ-N, and MPS from April 10th to May 10th, 2001. Results: The results of this study were as follows : 1. There was no significant difference in premenstrual syndrome due to menarche, duration of menstruation, and menstrual cycle, but significant difference in premenstrual syndrome due to amount of menstruation and regularity of menstrual cycle. 2. The subjects experienced mild premenstrual syndrome. The severe premenstrual syndromes above the mean were who subjects reported general physical discomfort, fatigue, low mood and loss of pleasure, lability and atypical depressive features, et. al., and those below the mean experienced hostility/anger, increased well-being, miscellaneous mood/behavior change, impulsive syndrome and miscellaneous physical changes, et. al. 3. The score of mean premenstrual syndrome was 236.55, that of automatic thought was 31.41 and that of perfectionism was 185.97. The premenstrual syndrome score was similar to those of other studies and subjects had low automatic thought and moderate perfectionism. 4. There were significant correlations among premenstrual syndrome, automatic thought, and perfectionism (P <. 001). 5. Automatic thought and perfectionism accounted for 17 percent of premenstrual syndrome. Conclusions: For future research, it was recommended that the study to identify major factors affecting premenstrual syndrome and the relationships between them with various subjects should be done and effective nursing intervention for premenstrual syndrome should be developed.

• Korean Journal of Biological Psychiatry
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• v.12 no.2
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• pp.173-180
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• 2005

Purpose:We investigated the effect of menopausal duration on cognitive function using adjunctive hormone replacement therapy(HRT) in postmenopausal women with depression. Method:Twelve postmenopausal women with depressive disorder were enrolled. Six patients having menopausal duration of less than 3 years was assigned to the short duration group and six patients of more than 3 years to the long duration group. Each patient was treated with conjugated equine estrogen(1.25mg) plus medroxyprogesterone(5mg) for 8 weeks. Cognitive performance was measured by the Verbal Memory Test, Visual Memory Test, Trail Making Test, Digit Symbol Test, and Attention Shift Test. The Beck Depression Inventory was used for evaluation of depressed mood. The reproductive hormone levels were also measured. Results:The long duration group showed the lower performance only in Trail Making Test B compared with the short duration group at baseline. After 8 weeks, the long duration group performed significantly better in the Trail Making Test B compared with the short duration group. The differences in change of depressive mood and gonadal hormone level between two groups were not significant. Conclusion:Menopausal duration before HRT may influence the effect of estrogen on cognition in some cognitive domains. This might be related with estrogen receptor hypersensitivity which induced by the longer estrogen deficiency.

• Journal of the Korea Convergence Society
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• v.10 no.5
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• pp.239-248
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• 2019

The purpose of this study was to examine the use of music for job stress of employees in highway service areas and differences in use of music. For this, a survey was conducted on 150 respondents of U city and G province. The questionnaires were composed of a total of 53 questions, including use of music 25, job stress 24, and demographic characteristics 4 questions. A total of 150 questionnaires were distributed and 134 were analyzed. As a result, first, the respondents preferred listening to music over playing instruments or singing and mostly listened to popular music at home alone. Second, they reported that their purpose of use of music was for mood change followed by comfort, joy, sense of vigor, and sense of relief. Third, there were significant differences in mood of music and degree of achieving sense of relief through music. This study could provide information for organizing effective convergence music programs which could meet the needs and demands of them.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.1-7
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• 2021

Investor mood from social media is gaining increasing attention for leading a price movement in stock market. Based on the behavioral finance theory, this study argues that sentiment extracted from social media using big data technique can predict a real-time (short-run) price momentum in Chinese stock market. Collecting Sina Weibo posts that related to COVID-19 using keyword method, a daily influential weighted sentiment factors is extracted from the sizable raw data of over 2 millions of posts. We examine one supervised and 4 unsupervised sentiment analysis model, and use the best performed word-frequency and BiLSTM mdoel. The test result shows a similar movement between stock price change and sentiment factor. It indicates that public mood extracted from social media can in some extent represent the investors' sentiment and make a difference in stock market fluctuation when people are concentrating on a special events that can cause effect on the stock market.

• Stress
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• v.27 no.2
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• pp.199-204
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• 2019

Backgoround: This study aimed to examine the influence of anxiety sensitivity on task performance and physiological stress response, and to assess the effect of depression in this process for the youth population. Methods: We presented participants with an uncontrollable stress situation where they were required to perform mental arithmetic, based on the Montreal Imaging Stress Task (MIST). A total of 29 participants volunteered for this study. They completed the Anxiety Sensitivity Index-Revised and Patient Health Questionnaire-9 to measure their levels of anxiety sensitivity and depression. Two saliva samples, one before and one after the experiment, were collected to assess the change in cortisol levels as an index of physiological stress response. Results: Participants with high anxiety sensitivity showed lower performance on the mental arithmetic tasks and a significant increase in a salivary cortisol level, compared to those with low anxiety sensitivity. Furthermore, cortisol levels showed a remarkable increase where high anxiety sensitivity was coupled with depressed mood. In other hands, the levels of cortisol remained unchanged despite high anxiety sensitivity with low depressed mood. Conclusions: Our results confirm that the interaction between anxiety sensitivity and depression affects participants' task performance and stress response, as measured through behavioral tasks and physiological data with self-report indices. Also, through the physiological data, we examined that those who have a high level of anxiety sensitivity showed maladaptive responses under high stressful situation.

• Journal of the Korean Society of School Health
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• v.9 no.2
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• pp.223-237
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• 1996

This study was conducted in order to contribute to female student health by providing fundamental data for health instruction and health counsel. The purpose of this study is to determine the frequency of PMS by a menstrual distress questionnaire, and determine sex-identity factors related to PMS. The data were collected by a questionaire conducted from December 1,1995 to December 20, 1995. The subjects of research were 1,102 high school students in Seoul. The data analyzed was done using the SPSS PC+, and the results were as follows; 1. The perceived subjective symptoms were clusted behavioral change, negative affects, pain, impaired concentration, water retention and autonomic reactions. The most common symtoms during the period of 2 to 10 days before menses were vaginal discharge(79%), back pain(70.4%), nervous tension(60.8%), fatigue(56.2%), abdominal bloating(54.5%), mood change(52.8), pelvic pain(46.8%), resistance to study(45.9) and talking(43.3). 2. There was a significant correlation between the clusters symptoms; negative affects and behavioral changes(r=.9326, p=.000), behavioral changes and impaired concentration (r=.8572, p=.000), negative affects and impaired concentration(r=.8411, p=.000) and autonomic reaction and pain(r=.7267, p=.000). 3. Sex-identity factors were related to PMS ; perception of the female(F=5.1811, p=.006) and pregnancy concerns (T=3.54, p=.000).

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.8
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• pp.3820-3841
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• 2018

Most of the accidents occur due to drowsiness while driving, avoiding road signs and due to driver's distraction. Driver's distraction depends on various factors which include talking with passengers while driving, mood disorder, nervousness, anger, over-excitement, anxiety, loud music, illness, fatigue and different driver's head rotations due to change in yaw, pitch and roll angle. The contribution of this paper is two-fold. Firstly, a data set is generated for conducting different experiments on driver's distraction. Secondly, novel approaches are presented that use features based on facial points; especially the features computed using motion vectors and interpolation to detect a special type of driver's distraction, i.e., driver's head rotation due to change in yaw angle. These facial points are detected by Active Shape Model (ASM) and Boosted Regression with Markov Networks (BoRMaN). Various types of classifiers are trained and tested on different frames to decide about a driver's distraction. These approaches are also scale invariant. The results show that the approach that uses the novel ideas of motion vectors and interpolation outperforms other approaches in detection of driver's head rotation. We are able to achieve a percentage accuracy of 98.45 using Neural Network.

• Korean Institute of Interior Design Journal
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• no.28
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• pp.44-50
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• 2001

This study propose the new concept of residence by analyzing the change of residence through the characteristic of popularity and degree of development of technology on home network information appliance for intelligent home. Accordingly, Cyber village represented as home automation and extend to information of society. it encourage need of information and multimedia of home. It expect home information infrastructure for accepting informations, which make smart home to linked home-working home-learning home-treatment. home-shopping and home-banking. The system of intelligent home is the intelligence of human-biology in the side of environmental friendly and multi-function. it distinguish the system of security, controlling system of inside environment, supporting system of house-working, automatic controlling, house working. Future house require to meet demand of young generation, such as small residental space, the multi-functional space, the flexible space, making mood for dual income couple and of single as intelligent home. Accordingly, basic purpose which are pleasantness, the safe and the convenience the mobile multi-function as well as networking with controlling of temperature, security, health-test, home-entertainment, home-office and consider environment together.