• The Journal of Pediatrics of Korean Medicine
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• v.16 no.1
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• pp.105-124
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• 2002

With the progress of civilization, the disorders due to the stress, which derived from the social-structural complexity and diversity, are on an increasing trend in our times. Accordingly, the accurate diagnosis and appropriate treatment for them are required. Especially in the current years, children's disorders delivered by the emotional problems keep increasing. In this research, the researcher tried to figure out the cause of the children's stress and its treatment, studied the theories of the stress in the modem medicine and the sever emotions in oriental medicine, and came to the conclusion as follows: 1. The stress can be defined as the combination of the reaction to noxious stimuli and its defense mechanism of the body, In oriental medicine, it is considered as pathological notions which includes seven emotions as the internal factor, six evils as the external factor and other foods, expectoration, ecchymoma as the non-internal/external factors. 2. Children usually get stressed by various reasons in a growth process such as schooling, relationship with friends, the opposite sex of family, or change of surroundings, and these can cause the various disorders. 3. In the study of the children's stress symptoms, it is found that the silent reaction is uncommon. It usually appeared in both reactions: firs, physical reactions such as stomachache, vomiting, headache, neural frequent urination, bronchial asthma or excessive respiration and/or, second, behavioral reactions such as a decline of performance, alimentary disorder, e.g. anorexia nervosa or bulimia, sleep disorder, e.g. nightmare or panic in sleep, anthrophobia, refusal to a school attendance or hyperactiveness. Besides, the peculiar mental disorder such as paroxysm of anger, tic, autism, nocturnal enuresis, lack of attentiveness, impediment in linguistic development, learning difficulty, intellectual decline, etc. can be appeared, and the heavy stress during the babyhood can cause the regression of behavior or the immaturity of formation of character. 4. The appropriate treatments for the children's stress are Osteopathy, Manpulation, Aroma Therapy, Alexander Technique, Autonomic Never Control Treatment, Biofeedback, Chiropractic, Dance Therapy, Feldenkrasis Technique, Gravity Therapy, Homepathy, Aquatherapy, Hypnotherapy, Naturopathy and Meditation.

• Human Ecology Research
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• v.58 no.1
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• pp.1-12
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• 2020

This study examined if the effect of family functioning on preschoolers' school readiness can be mediated by mothers' affective parenting and preschoolers' self-regulation in the year before children enter elementary school. This study analyzed the 7^th year data of panel study of Korean children collected by the Korean Institute of Child Care and Education. Statistical analysis included 1,513 pairs of 6-year-old children and mothers. Descriptive statistics analysis, correlation analysis, structural equation modeling, and bootstrapping analysis were conducted using SPSS 22 and Amos 20. The primary findings were as follows. First, the sub-factors of preschoolers' school readiness composed of children's social and emotional development, approach to learning, cognitive development and general knowledge, and communication were positively correlated with family functioning, mothers' affective parenting, and preschoolers' self-regulation. Second, the result of structural equation modeling showed that the indirect paths from family functioning to preschoolers' school readiness through mothers' affective parenting and preschoolers' self-regulation were significant, while the direct path was insignificant. Third, bootstrapping analysis showed that mothers' affective parenting and preschoolers' self-regulation fully mediated the relationship between family functioning and preschoolers' self-regulation. The findings provide the grounds for families and parents with preschool aged children to implement effective support practices to maintain a functional family system that can promote preschoolers' school readiness.

• Journal of Preventive Medicine and Public Health
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• v.54 no.6
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• pp.451-460
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• 2021

Objectives: This study aimed to determine the associations between parental depression and early childhood development among children aged 36 months to 59 months in Indonesia. Methods: From Indonesia's Basic Health Survey (RISKESDAS) 2018, this study included 6433 children aged 36 months to 59 months and their parents. Maternal and paternal depression was examined using the Mini International Neuropsychiatric Interview survey instrument, which was previously translated into Indonesian. The study also used the Early Child Development Index to measure child development and its 4 domains (cognitive, physical, socio-emotional, and learning). Multivariate logistic regression analysis was performed to determine the association between parental depression and early childhood development. Results: Overall, 10.3% of children aged 36 months to 59 months were off-track for development. After adjusting for biological, parental, and social characteristics, children born to parents with depression were found to be 4.72 times more likely to be off-track for development (95% confidence interval, 1.83 to 12.15). Conclusions: Children of depressed parents were more likely to be off-track for development. The findings highlight the need for early diagnosis and timely intervention for parental depression to promote early childhood development.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1571-1576
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• 2022

This study aims to analyze the interest of modern people in non-face-to-face medical counseling in the medical industrys. Big data was collected on two social platforms, 지식인, a platform that allows experts to receive medical counseling, and YouTube. In addition to the top five keywords of telephone counseling, "internal medicine", "general medicine", "department of neurology", "department of mental health", and "pediatrics", a data set was built from each platform with a total of eight search terms: "specialist", "medical counseling", and "health information". Afterwards, pre-processing processes such as morpheme classification, disease extraction, and normalization were performed based on the crawled data. Data was visualized with word clouds, broken line graphs, quarterly graphs, and bar graphs by disease frequency based on word frequency. An emotional classification model was constructed only for YouTube data, and the performance of GRU and BERT-based models was compared.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.33-39
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• 2023

Although COVID-19 has transitioned to a level 4 infectious disease in 2023 and has entered a stable trend, in special education settings, the importance of supporting the academic and social development gaps of students with disabilities caused by non-face-to-face learning situations such as remote classes during the COVID-19 period is emerging. there is. Accordingly, in this study, in order to identify and support the educational status and academic deficits of students with disabilities after COVID-19, we conducted a survey targeting 2,214 special education teachers in 17 cities and analyzed the results. As a result of the study, due to COVID-19, the developmental delay and educational gap in students with disabilities in terms of academics, emotions, and behavior deepened, and there was a high demand for manpower support, psychological counseling, and medical support for emotional behavior as a way to support this. Based on the results of this study, follow-up results were proposed.

• Journal of Industrial Convergence
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• v.22 no.1
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• pp.95-103
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• 2024

The purpose of this study was to examine the perceptions and beliefs of physical education teachers regarding learner-centered physical education and to qualitatively explore the stories of physical education teachers that appear in the field of practicing physical education curriculum. The research method was qualitative research, and data were collected and recorded through semi-structured questionnaires, individual interviews, group interviews, and metaphor records, and the data were analyzed through domain analysis and classification analysis. The study was able to derive results by dividing them into 'learner focus', 'overall development', and learning evaluation' in relation to physical education teachers' meaning construction of learner-centered physical education. And the practice of learner-centered physical education and its limitations were presented. In conclusion, the holistic development of learner-centered physical education includes addressing physical, cognitive, social, and emotional aspects. It is believed that this approach will not only measure student progress but also actively contribute to their development as individuals.

• Korean Journal of Clinical Pharmacy
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• v.34 no.1
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• pp.21-29
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• 2024

Background: Daytime sleepiness, a common phenomenon among adolescents focused on academics, has negative effects on aspects such as growth and overall learning. However, research on various drugs and diseases affecting daytime sleepiness is lacking in the reality. Therefore, this study aims to investigate the factors influencing daytime sleepiness in adolescents with daytime sleepiness. Methods: This study was conducted through a survey of 2,432 middle and high school students, aged 14 to 19. The questionnaire consisted of information on socio-demographic characteristics, overall health status, and sleep patterns. The Pediatric Daytime Sleepiness Scale (PDSS), translated into Korean, was used to assess daytime sleepiness. Daytime sleepiness was measured by calculating the total score for each item of the PDSS, and divided into two groups based on the cutoff value of 19, which was the upper quartile. Results: We analyzed a total of 1,770 students including 799 boys and 971 girls. Students with a PDSS score of 19 or higher made up 33.3% of boys and 66.7% of girls. In multivariate analyses, females, smoking, poor self-reported health level, sleep after 12 am, not feeling refreshed in the morning, headache, muscle pain, and scoliosis increased the risk of daytime sleepiness significantly. The AUROC of PDSS, including significant factors in multivariate analyses, was 0.751 (95% CI 0.725~0.776). Conclusions: Daytime sleepiness in adolescents affects growth, academic performance, and emotional stability. Therefore, it is important to manage medications, diseases, and other factors that affect daytime sleepiness on a social level.

• Journal of Music and Human Behavior
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• v.14 no.1
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• pp.85-108
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• 2017

The purpose of this study was to examine how a therapeutic drumming intervention would impact middle school students with regard to school violence prevention. Participants were all in the third-year class of a middle school in Korea. A school music teacher and a music therapist designed and implemented the program collaboratively, and mainly used dyadic, synchronized, and improvisational drumming based on the Social Emotional Learning core competencies. A total of 65 students participated in a weekly 45-minute program for 10 weeks. Ten participants out of 65 were selected for interviews and the rest of the 55 participants were asked to fill out an open-ended survey. Content analysis of the survey and interviews produced 492 meaningful statements, which were categorized into seven themes: somatic responses to drumming, emotional processing, group cohesion, empathy, relationship with peers, self-esteem, and self-regulation. The findings indicated that dyadic, synchronized, and improvisational drumming may promote prosocial behaviors in students of this age. The author discussed that drumming produces physical input directly from the instruments, which prompts students to identify and empathize with their own or others' emotions. This study therefore suggests that collaborative work between school music teachers and music therapists may positively impact middle school students' prosocial behaviors, as they pertain to school violence in Korea.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.187-204
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• 2016

Document classification based on emotional polarity has become a welcomed emerging task owing to the great explosion of data on the Web. In the big data age, there are too many information sources to refer to when making decisions. For example, when considering travel to a city, a person may search reviews from a search engine such as Google or social networking services (SNSs) such as blogs, Twitter, and Facebook. The emotional polarity of positive and negative reviews helps a user decide on whether or not to make a trip. Sentiment analysis of customer reviews has become an important research topic as datamining technology is widely accepted for text mining of the Web. Sentiment analysis has been used to classify documents through machine learning techniques, such as the decision tree, neural networks, and support vector machines (SVMs). is used to determine the attitude, position, and sensibility of people who write articles about various topics that are published on the Web. Regardless of the polarity of customer reviews, emotional reviews are very helpful materials for analyzing the opinions of customers through their reviews. Sentiment analysis helps with understanding what customers really want instantly through the help of automated text mining techniques. Sensitivity analysis utilizes text mining techniques on text on the Web to extract subjective information in the text for text analysis. Sensitivity analysis is utilized to determine the attitudes or positions of the person who wrote the article and presented their opinion about a particular topic. In this study, we developed a model that selects a hot topic from user posts at China's online stock forum by using the k-means algorithm and self-organizing map (SOM). In addition, we developed a detecting model to predict a hot topic by using machine learning techniques such as logit, the decision tree, and SVM. We employed sensitivity analysis to develop our model for the selection and detection of hot topics from China's online stock forum. The sensitivity analysis calculates a sentimental value from a document based on contrast and classification according to the polarity sentimental dictionary (positive or negative). The online stock forum was an attractive site because of its information about stock investment. Users post numerous texts about stock movement by analyzing the market according to government policy announcements, market reports, reports from research institutes on the economy, and even rumors. We divided the online forum's topics into 21 categories to utilize sentiment analysis. One hundred forty-four topics were selected among 21 categories at online forums about stock. The posts were crawled to build a positive and negative text database. We ultimately obtained 21,141 posts on 88 topics by preprocessing the text from March 2013 to February 2015. The interest index was defined to select the hot topics, and the k-means algorithm and SOM presented equivalent results with this data. We developed a decision tree model to detect hot topics with three algorithms: CHAID, CART, and C4.5. The results of CHAID were subpar compared to the others. We also employed SVM to detect the hot topics from negative data. The SVM models were trained with the radial basis function (RBF) kernel function by a grid search to detect the hot topics. The detection of hot topics by using sentiment analysis provides the latest trends and hot topics in the stock forum for investors so that they no longer need to search the vast amounts of information on the Web. Our proposed model is also helpful to rapidly determine customers' signals or attitudes towards government policy and firms' products and services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.295-303
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• 2016

The purposes of this study are to describe the process for the instrument construction and the development of scales on rating college students' adaptability and to analyze the technical qualities of the test. The primary goal of this study is to inform students and institutions what is needed to college student's adjustment process into university and college life. The scales are tested by specialty group and statistical methods, and finally composed of 142 items, which measures 8 scales, the academic integration, the social integration into college, career identity, emotional stability, learning condition's stability, relationship with professors, satisfaction degree of educational service, satisfaction degree of college education. This study analyzed 1,959 students' responses from 4 colleges and universities. This study confirms that the scales which this study developed show high concurrent evidence with the college student's adaptability inventory for Korean university and college students based on various development process, specially rapid great change of college. The result of factor analysis shows the evidence based on internal structures of the scales. The Cronbach's ${\alpha}$ of the subscales is .965, from 742 to .937. The prediction model to determine the possibility of dropout by 7 scales is statistically significant in .05, except learning condition's stability. According to CFA Model, RMSEA= .08~.09. dependence factor variance are explained by this study's CFA model. In conclusion, this study confirms that the scales which this study developed are valid and reliable instrument for Korean university and college students to predict their adaptability to college.