• Korean Journal of Culture and Social Issue
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• v.13 no.3
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• pp.127-153
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• 2007

The study aims to examine the effects of crime on societal anxiety. For this purpose, two studies were conducted. In study 1, the data were collected from 286 students(male 160, female 126) regarding perceived seriousness of crime, estimation of crime occurrence, societal anxiety, and estimation of change in these 3 variables every 3 years from 1993 to 2011. The means of the 3 variables were higher than the midpoint of the scale. And the means of all the 3 variables gradually increased from 1993 to 2011 and the change patterns were very similar. Furthermore, the estimation of crime occurrence and perceived seriousness of crime were significant predictors of societal anxiety. Study 2 was conducted to explore the effect of frequency estimation of the criminal acts on the societal anxiety. The data from 259 subjects(male 141, female 118) were analysed. The occurrence of frequency of 7 types of crimes including 25 criminal acts were estimated and societal anxiety was measured. The results of study 2 showed that only the major crime was significant a predictor of societal anxiety, and among the major crimes, arson was a significant predictor of the dependent variable. Implications and limits of the studies are discussed.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.242-248
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• 2024

Contemporary societal and environmental transformations coincide with the emergence of novel mental health challenges. anxiety disorder, a chronic and highly debilitating illness, presents with diverse clinical manifestations. Epidemiological investigations indicate a global prevalence of 5%, with an additional 10% exhibiting subclinical symptoms. Notably, 9% of adolescents demonstrate clinical features. Untreated, anxiety disorder exerts profound detrimental effects on individuals, families, and the broader community. Therefore, it is very meaningful to predict anxiety disorder through machine learning algorithm analysis model. The main research content of this paper is the analysis of the prediction model of anxiety disorder by machine learning algorithms. The research purpose of machine learning algorithms is to use computers to simulate human learning activities. It is a method to locate existing knowledge, acquire new knowledge, continuously improve performance, and achieve self-improvement by learning computers. This article analyzes the relevant theories and characteristics of machine learning algorithms and integrates them into anxiety disorder prediction analysis. The final results of the study show that the AUC of the artificial neural network model is the largest, reaching 0.8255, indicating that it is better than the other two models in prediction accuracy. In terms of running time, the time of the three models is less than 1 second, which is within the acceptable range.

• Toxicological Research
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• v.34 no.1
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• pp.75-81
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• 2018

Animal experiments have been widely conducted in the life sciences for more than a century, and have long been a subject of ethical and societal controversy due to the deliberate infliction of harm upon sentient animals. However, the harmful use of animals may also negatively impact the mental health of researchers themselves. We sought to evaluate the anxiety level of researchers engaged in animal use to analyse the mental stress from animal testing. The State Anxiety Scale of the State-Trait Anxiety Inventory (STAI) was used to evaluate how researchers feel when they conduct animal, as opposed to non-animal, based experiments (95 non-animal and 98 animal testing researchers). The Trait Anxiety Scale of STAI was employed to measure proneness to anxiety, namely the base trait of the researchers. Additionally, the information on sex, age, education, income, and total working periods was collected. While the Trait Anxiety scores were comparable ($41.5{\pm}10.9$ versus $42.9{\pm}10.1$, p = 0.3682, t-test), the State Anxiety scores were statistically significantly higher for animal users than non-animal users ($45.1{\pm}10.7$ versus $41.3{\pm}9.4$, p = 0.011). This trend was consistent for both male and female. Notably, younger animal testers (${\leq}30$ years of age) with less work experience (${\leq}2$ years) and lower income level (${\leq}27,000$ USD) exhibited higher anxiety scores, whereas these factors did not affect the anxiety level of non-animal users. The present study demonstrated that participation in animal experiments can negatively impact the mental health of researchers.

• Journal of Forest and Environmental Science
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• v.38 no.4
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• pp.290-301
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• 2022

Increasing life expectancy leads to a rise in the prevalence of aging-related mental diseases and a concomitant increase in the financial and societal pressures related to their prevention and management. This issue is attracting increasing attention from researchers. Therefore, this study aimed to determine whether a healing program in a forest environment is effective for improving cognitive function, depression, anxiety, and stress in elderly people. A nonequivalent control group pretest-posttest design was used. The experimental group consisted of 18 males and females aged 60 to 80 years who participated in a forest healing program for seven days, while the comparison group comprised 10 people with similar demographics. For the process of data analysis, this study performed a cross-analysis to determine the homogeneity of the data and carried out the Wilcoxon signed-rank test, a nonparametric statistical test, to verify the significance of each group. Participation in the forest healing program led to a significant improve-ment in cognitive function (p=0.030). The levels of depression decreased, but this result was not statistically significant. The levels of anxiety decreased significantly (p=0.004). The mean cortisol score, a measurement of stress, decreased, but it was not statistically significant. These findings confirmed the effectiveness of this program for improving certain mental conditions of elderly people, and affirmed that the use of long-term forest healing programs can be expected to alleviate national pressures created by aging societies.

• Journal of Digital Contents Society
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• v.17 no.4
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• pp.273-278
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• 2016

Disasters are linked with some attributes of modern society in diversity, complexity and unpredictability, so various approach and remedies of them will appease the nation's anxiety upon them. For this reason, in this paper we review the building plans and its application and its application Province pros and cons of intelligent video surveillance analysis system for social security, the future proposed service is the safety of people while performing a comprehensive urban traffic control functions as a video monitoring system for social security and to ensure, to prevent crime and accidents, it is to crack down on criminal offenses in advance expected to protect the property of citizens and public facilities.

• Anxiety and mood
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• v.19 no.2
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• pp.48-55
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• 2023

Objective : This study aims to investigate the concept of mental health literacy, its evolution, and its significance in modern healthcare practices. Methods : This paper reviews the evolution of mental health literacy, examining pertinent studies both within the country and internationally. It also addresses the limitations and challenges associated with mental health diagnoses. Results : Findings from various studies indicate that public awareness and recognition of mental health issues are generally inadequate. Identified causes of mental health conditions by study participants point to personal and societal influences, while biological factors are frequently neglected. In South Korea, there is a notable preference for non-professional support over psychiatric interventions. Conclusion : This study highlights the growing importance of mental health literacy in today's society, emphasizing the need for accurate understanding of mental health issues and effective treatment approaches. Similar to physical health literacy, mental health literacy should be considered a basic human right. This perspective marks a shift from a knowledge monopoly held by experts to the inclusion and active involvement of 'people with lived experience' in the mental health service system.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1058-1092
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• 2023

This study investigates the perception and adoption of ChatGPT (a large language model (LLM)-based chatbot created by OpenAI) among Korean users and assesses its potential as the next disruptive innovation. Drawing on previous literature, the study proposes perceived intelligence and perceived anthropomorphism as key differentiating factors of ChatGPT from earlier AI-based chatbots. Four individual motives (i.e., perceived usefulness, ease of use, enjoyment, and trust) and two societal motives (social influence and AI anxiety) were identified as antecedents of ChatGPT acceptance. A survey was conducted within two Korean online communities related to artificial intelligence, the findings of which confirm that ChatGPT is being used for both utilitarian and hedonic purposes, and that perceived usefulness and enjoyment positively impact the behavioral intention to adopt the chatbot. However, unlike prior expectations, perceived ease-of-use was not shown to exert significant influence on behavioral intention. Moreover, trust was not found to be a significant influencer to behavioral intention, and while social influence played a substantial role in adoption intention and perceived usefulness, AI anxiety did not show a significant effect. The study confirmed that perceived intelligence and perceived anthropomorphism are constructs that influence the individual factors that influence behavioral intention to adopt and highlights the need for future research to deconstruct and explore the factors that make ChatGPT "enjoyable" and "easy to use" and to better understand its potential as a disruptive technology. Service developers and LLM providers are advised to design user-centric applications, focus on user-friendliness, acknowledge that building trust takes time, and recognize the role of social influence in adoption.

• Sleep Medicine and Psychophysiology
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• v.18 no.2
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• pp.72-75
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• 2011

Sleep disorders such as insomnia, obstructive sleep apnea (OSA), and restless legs syndrome (RLS) are very common disorders and may cause significant burden in terms of individual as well as societal aspects. Sleep insufficiency from such sleep disorders may cause deleterious effects on daily work life and may be associated with other major medical or psychiatric disorders including cardiovascular disease, diabetes mellitus, depression, and anxiety disorder. Various motor or occupational accident may result from the sleep problems. In addition, recent researches provide the method to evaluate the lost productivity time in terms of absenteeism and presenteeism. Moreover, several studies on cost-effectiveness of treatment of sleep disorders show that it is cost-effective.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.34 no.2
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• pp.69-75
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• 2023

Objectives: The coronavirus disease 2019 pandemic and its associated societal responses are anticipated to have wide-ranging effects on youth development and mental health. Depression, anxiety, and attention deficit hyperactivity disorder (ADHD) are the three most common mental health problems among university students. Many factors that can threaten mental health during the outbreak affect these three conditions, as well as sleep conditions, in undergraduate students. Thus, determining how these abrupt changes in students' circumstances impact their mental health is very important from a public health perspective. Methods: We investigated the usual conditions and changes in ADHD symptoms during the outbreak, in relation to depressive and sleep-related symptoms among undergraduate students. A total of 252 students, primarily juniors, completed the online survey. Results: The results showed that 12% of the students exceeded the cut-off score of the ADHD questionnaire before the pandemic. Approximately 6%-21% of the university students, especially those with ADHD traits, rated their ADHD behaviors as worse during the outbreak than that before the outbreak. Conclusion: Female students and undergraduates with ADHD traits are more susceptible to experiencing further deterioration of ADHD (inattention) symptoms during the pandemic. In cases where it is difficult to intervene with ADHD symptoms, approaching circadian rhythm or depression will be of considerable clinical use.

• Cross-Cultural Studies
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• v.51
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• pp.193-212
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• 2018

This paper attempts to explore how Ang Lee depicts Asian and Western women in his films. We focus on two parts of his consciousness First, Ang Lee does not consider himself a feminist, he understands the world in terms of women who play societal roles. Second, Ang Lee's films reflect his identity in a juxtaposition model, in which he is a member of mainstream American society and also holds an onlooker's viewpoint at the same time. He depicts women, who are often marginalized or considered the minority, and their feminist ideals, as means that break down the authority of the father and the man, the traditional ideology, and the male dominant nationalism. Chinese women in movies divide apart traditional Chinese patriarchal ideology and male-dominated anti-Japanese sentiments. Also, the Western women in his films reveal the non-stereotypical appearance of Western society in the 1970s and 1980s, with daily tension, anxiety, abdominal pain and anger, silence and anxiety about homosexual husbands, and excessive obsession. The director's portrayal of women not only separates the male-centered and Western-centered discourse, but also reveals a self-division of internalized masculine patriarchal Asian thought consciousness.