• Journal of Korean Academy of Nursing
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• 제39권4호
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• pp.562-573
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• 2009

Purpose: The purpose of this study was to identify the effects on the cognitive function, Activities of Daily Living (ADL), mood, social behaviors, and problematic behaviors of robot pet-assisted program for elderly people with dementia. Methods: This study was a nonequivalent control group pretest-posttest design. The participants were 32 elders with dementia. Seventeen were assigned to the experimental group and 15 to the control group. The intervention was conducted twicea week for 6 weeks. Results: 1) After the program, cognitive function, ADL, and social behaviors did not show significant differences. 2) After the program, mood of experimental group was significantly better than that of the control group. 3) After the program, problematic behaviors of the experimental group were significantly more diminished than those of control group. 4) As a result of analyzing the response, robot pet-assisted program was effective such as inducing a positive emotional state and increasing communication and interaction. Conclusion: The robot pet-assisted program was effective in changing the mood and diminishing problematic behaviors and had positive effects such as increasing communication and interaction for elders with dementia. Therefore, this program should be considered as a positive program for physical and emotional support for elders with dementia.

• The Journal of the Society of Korean Medicine Diagnostics
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• 제15권1호
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• pp.77-86
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• 2011

Objectives: With increased rate of chronic disease, concerns about preventive medicine has raised. Therefore questionnaire of subhealth status was developed and analysed in our previous study. A large number of chronic diseases is related to emotional issues. This study was to confirm a relationship between mood state and health status in terms of modern people's healthcare. Methods: Subhealth Questionnaire and Korean version of Profile of Mood States(k-POMS) were putted by 113 college students. And correlation and regression analysis was conducted. Results: Subhealth questionnaire and k-POMS proved a significant correlation. In particular, subhealth factor 3(mood) had a significant correlation with all factors of k-POMS. Subhealth factor 1(body), subhealth factor 2(life) and subhealth factor 6(society) had significant correlations with 5 factors of k-POMS. Subhealth factor 4(energy) and subhealth factor 5(heredity) did not show significant results. 'Fatigue' factor of k-POMS was proved to be the most important factor influencing the subhealth status and illness, indicating high correlations with all of subhealth status.

• Sleep Medicine and Psychophysiology
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• 제29권2호
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• pp.40-44
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• 2022

Bipolar disorders are a group of mood disorders characterised by relapsing mood episodes throughout the course of illness. Patients with bipolar disorders commonly present with various sleep problems. Patients in a manic episode generally show decreased need of sleep and those in a depressed episode frequently complain about hypersomnia. Current literature even points to evidence that patients with bipolar disorder in euthymic state may still show signs of sleep disturbances when compared to the general population. Clinicians may also note intricate interactions between changes of circadian rhythm and evolution of mood episodes in patients with bipolar disorder. Also, commonly prescribed medications which plays a crucial role in treatment of bipolar disorders including mood stabilisers and antipsychotic medications often cause significant weight gain over time. Being a risk factor of sleep apnoea, weight gain can predispose the patient to develop sleep apnoea. In this narrative review, we summarised current evidence and literature regarding characteristics of circadian rhythm and comorbid sleep apnoea in patients with bipolar disorder. We also present literature regarding implications of circadian disturbance and comorbid sleep apnoea in managing patients with bipolar disorder.

• Journal of Forest and Environmental Science
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• 제39권3호
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• pp.140-149
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• 2023

We surveyed to assess the impact of the mood states and sentiments resulting from forest experience on the school life satisfaction of Korean boarding middle school students (n=90). The average mood state score was 2.32 on a scale of 1-5, with the subscale of vigor scoring the highest (3.19). The average sentiment score was 3.08, with the subscale of subjective happiness scoring the highest (3.08). The average school life satisfaction score was 3.66, with the subscale of interpersonal relationships scoring the highest (3.91). The mood states resulting from forest experience explained 39.6% of the variance in school life satisfaction, and the regression model showed a significant fit (F=9.077, p<0.001). Similarly, sentiments resulting from forest experience explained 47.4% of school life satisfaction, with the regression model showing a significant fit (F=10.569, p<0.001). It can be concluded that forest experience positively impacts the school life satisfaction of Korean boarding middle school students.

• Journal of Convergence for Information Technology
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• 제10권5호
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• pp.224-231
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• 2020

The purpose of this study was to analyze the change in phytoncide intake in mood state and health-related quality of life menopausal women through an 8-week experiment. For the study, 41 subjects under 2 years after menopause in D and N districts in Seoul were targeted. consisting of three study points: pre-measurement (0week), intermediate (4week), and post-measurement (8week). Was used As a dependent variable of this study, mood status and health-related quality of life were set, and data were collected through three questionnaires: pre-measurement, intermediate measurement, and post-measurement. As for the analysis method, one-way ANOVA and post verification were performed. Derived result First, the phytoncide inhalation group of postmenopausal women showed statistically significant effects of reducing tension, depression, fatigue, chaos, and increasing vitality among the sub-factors of mood status compared to the control group. Second, the phytoncide inhalation group of postmenopausal women showed statistically significant increase in competence, mental well-being, stability, and vitality among the sub-factors of health-related quality of life compared to the control group.

• International Journal of Computer Science & Network Security
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• 제22권9호
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• Journal of People, Plants, and Environment
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• 제22권1호
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• pp.109-118
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• 2019

Physical activities in the forest environment stimulate the parasympathetic nervous system of humans and have positive effects on the autonomic nervous system as well as moods and emotions. However, there are almost no studies on the benefits of exercise in the forest environment for patients with myocardial infarction. The aim of this study was to investigate the effects of 15-minute single session walking by myocardial infarction patients in the forest and urban environment on the physiological and psychological states. The heart rate variability was measured in 10 patients with myocardial infarction to assess physiological state after single session walking for 15 minutes in the forest environment and urban environment. In order to evaluate the psychological state, a profile of mood scale (POMS) and semantic differential (SD) questionnaire were used. The results of this study showed that 15-minute single session walking in the forest environment activated the parasympathetic nervous system of adult myocardial infarction patients more than 15 minutes of single session walking in the urban environment, and also made them feel more positive in terms of the POMS and SD. Therefore, this study suggests that even single session walking in the forest environment can positively influence the physiological and psychological states of adult heart disease patients and may also contribute to health care.

• Journal of the Korea Convergence Society
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• 제9권1호
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• pp.419-431
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• 2018

In this paper, we propose a novel method for monitoring mood trend of Twitter users by analyzing their daily tweets for a long period. Then, to more accurately understand their tweets, we analyze all types of content in tweets, i.e., texts and emoticons, and images, thus develop a multimodal sentiment analysis method. In the proposed method, two single-modal analyses first are performed to extract the users' moods hidden in texts and images: a lexicon-based and learning-based text classifier and a learning-based image classifier. Thereafter, the extracted moods from the respective analyses are combined into a tweet mood and aggregated a daily mood. As a result, the proposed method generates a user daily mood flow graph, which allows us for monitoring the mood trend of users more intuitively. For evaluation, we perform two sets of experiment. First, we collect the data sets of 40,447 data. We evaluate our method via comparing the state-of-the-art techniques. In our experiments, we demonstrate that the proposed multimodal analysis method outperforms other baselines and our own methods using text-based tweets or images only. Furthermore, to evaluate the potential of the proposed method in monitoring users' mood trend, we tested the proposed method with 40 depressive users and 40 normal users. It proves that the proposed method can be effectively used in finding depressed users.

• The Journal of the Korea Contents Association
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• 제20권3호
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• pp.678-686
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• 2020

The purpose of this study was to compare the physical and psychological functioning by sex, weight and age in Judo athletes. The 124 participants; high school students, college students, and team players. They used physical tests to measure physical examinations by self-describing Knee injury and Osteoarthritis Outcome Score test, Foot and Ankle Outcome Score test, and Oswestry Disability Index, and psychological tests such as Profile of Mood Test, Athletes' Self-Management Questionnaire, and The Athletic Coping Skills Inventory-28, to examine the effects of physical and psychological functions of sports athletes. The physical tests of sex showed differences in knee and back, psychological tests of sex showed differences in mood state, self-management, and athletic coping skills. As a result of physical examination by weight, there was a difference in knee pain and sports items, psychological tests showed that there was a significant difference in mood state except for vitality. Physical examination by age showed differences in knee, ankle, and back. As a result of age-based psychological test, mood state test showed difference in all items except tension and vitality. There was a significant difference only in the items of physical management in self-management test. The results of this study are expected to be used as a basic data for sports injury training and medical technology development by sex, weight and age of Judo athletes.

• Women's Health Nursing
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• 제20권1호
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• pp.14-28
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• 2014

Purpose: This study was to identify relationships of maternal psychosocial factors including mother's mood state, childcare stress, social support and sleep satisfaction with breastfeeding adaptation and immune substances in breast milk, especially secretory immunoglobulin A (sIgA) and transforming growth factor-beta 2 (TGF-${\beta}2$). Methods: Data were collected from 84 mothers who delivered full-term infants by natural childbirth. Structured questionnaires and breast milk were collected at 2~4 days and 6 weeks postpartum. Data were analyzed using descriptive statistics, Pearson's correlation, multiple linear regression, and generalized estimating equation (GEE). Results: Scores for the breastfeeding adaptation scale were significantly related with child care stress, mood state and social support. Mother's anger was positively correlated with the level of sIgA in colostrum (p<.01). Immune substances of breastmilk was significantly influenced by time for milk collection (p<.001) and the type of breastfeeding (sIgA, p<.001, TGF-${\beta}2$, p=.003). Regression analysis showed that breastfeeding adaptation could be explained 59.1% by the type of breastfeeding, childcare stress, the Profile of Mood States, emotional support and sleep quality (F=16.67, p<.001). Conclusion: The findings from this study provide important concepts of breastfeeding adaptation program and explanation of psychosocial factors by immune substances in breast milk. Future research, specially, bio-maker research on breast milk should focus on the ways to improve breastfeeding adaptation.