• 성인간호학회지
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• 제23권5호
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• pp.460-471
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• 2011

Purpose: This study was designed to investigate the levels of anxiety, depression, physical symptoms, and supportive care needs in patients with hematologic malignancy and to identify predictive factors of supportive care needs. Methods: The data were collected from 100 subjects undergoing treatments during 2010 in Korea. The questionnaires included the Hospital Anxiety-Depression Scale, the M. D. Anderson Symptom Inventory, and the Supportive Care Needs Survey-Short Form 34. The data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation, and stepwise multiple regression. Results: Forty percent of the subjects had anxiety and 58% had depression. Thirty-eight percent of the subjects reported to have moderate-to-severe levels of physical symptoms. The most severe physical symptom was lack of appetite, followed by fatigue and pain. In terms of supportive care needs, the health system and information domain showed the highest among all domains. Supportive care needs had a significant positive correlation with anxiety, depression, and physical symptoms. And its predictive factors were identified as anxiety, physical symptoms and marital status, with the explanatory power of 48.9%. Conclusion: These findings demonstrate that anxiety and physical symptoms should be assessed and treated to meet the supportive care needs of patients with hematologic malignancies.

• International Journal of Contents
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• 제5권4호
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• pp.44-50
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• 2009

The purpose of this research was to measure the effect of a gestalt group meditation therapy intervention program on occupational stress and anxiety in working women aged 30 to 49 in Korea. Scientific methods were employed to test a gestalt group meditation therapy intervention program as treatment for working women in 30-40s to reduce their level of occupational stress and anxiety. The study involved 18 volunteer subjects ages of 30 to 49 years, randomly divided into two groups: (1) gestalt group meditation therapy intervention program, and (2) no program. Both groups completed a pre-test and a post-test of occupational stress scale and trait anxiety inventory. The outcome data was analyzed as qual1litative information using the SPSSPC+ computer program. Mann-Whitney U test was used to analyze the result in order to verify the sameness between experienced group and controlled group of pre-test scores within the groups. Also U-test comparisons were used to analyze the treatment effects. The results of this investigation indicated that (1) occupational stress scores decrease after gestalt group meditation therapy intervention program on the treatment group, and (2) trait-anxiety scores decrease after gestalt group meditation therapy intervention program on the treatment group. In summary, the gestalt group meditation therapy intervention program for career women, aged 30 to 49, in Korea could reduce the subjects' occupational stress and anxiety.

• 대한안전경영과학회지
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• 제17권3호
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• pp.53-63
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• 2015

This study highlights empirically the relationship among major constructs such as accident, fear and anxiety emotion, self-efficacy, and negative spillover of work, focused on the railway drivers. The differentiated factor of this study is in that the experience of accident was posed as exogenous variable. The main statistical tool was Regression. Hypothesis tests based on 201 samples verified that the experience of accidents showed a significant effect on negative spillover of work mediated by fear and anxiety, with moderating effect of self-efficacy between fear and anxiety and negative spillover of work. However, the moderating effect was shown as increasing the degree of negative spillover of work, since the drivers recognized their fear and anxiety accrued by accident experience as uncontrollable. This findings suggest the need for mitigating driver's negative emotion - fear and anxiety - through an introduction of practice such as exemption of settlement obligation in accident site and lowering of the penalty for accident responsibility.

• 보건의료산업학회지
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• 제12권3호
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• pp.131-141
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• 2018

Objectives: This study was designed to determine the effects of middle-aged men's family functionality and self-efficacy on their retirement anxiety, in order to produce methods to alleviate this anxiety, including providing basic information for devising programs that help middle-aged men get better adjusted to and increase their awareness about retirement. Methods: For data collection, the study surveyed 364 middle-aged men who were residing in B Metropolitan City from February. 10 to 25, 2017. Results: This study found that the primary factor influencing middle-aged men's retirement anxiety is self-efficacy, for which the explanatory power for the surveyed men's retirement anxiety was 52.0%. In contrast, family functionality had no effect on retirement anxiety. Conclusions: To make middle-aged men less anxious about retirement, a variety of programs must be created and implemented that help them improve their self-efficacy prior to retirement. Furthermore, these men should be provided with educational and intervention programs that facilitate their adjustment to retirement and increase their awareness about retirement.

• International Journal of Advanced Culture Technology
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• 제12권1호
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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.

• 한국IT서비스학회지
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• 제20권1호
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• pp.117-130
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• 2021

The Korean society is transforming into the intelligence information society rapidly during the 4th industrial revolution. But middle aged and elderly people are hard to access and accept these changes. So, the purpose of this study is to examine the Intelligence information society factors affects life satisfaction among the elderly by moderating effect of on/offline social capital. This study analyzed data of 2,303 people between the ages over 50 from the 2018 Digital Divide Survey conducted by the National Information Society Agency (NIA) using SPSS26.0. The result showed that sex, age, education, household type, Intelligence information society perception, expectation, anxiety are significantly effected life satisfaction. Also on/offline social capital had moderating effect between intelligence information society and life satisfaction. Based on the results of this study proviedes a basis for developing a success model for elderly people who accepts the intelligence information society. Also, this study identifies the implications and future studies are suggested.

• 정보관리학회지
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• 제35권1호
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• pp.103-127
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• 2018

본 연구는 기록물관리 전문요원의 인구사회학적 특성에 따른 직무스트레스, 우울, 상태불안 수준의 차이와, 그들의 직무스트레스가 우울 수준에 미치는 영향 관계에 있어 상태불안 수준의 매개효과가 유의하게 나타나는지를 분석하였다. 이를 위해 기록물관리 전문요원들을 대상으로 인구사회학적 특성을 포함해 총 9요인으로 구성된 직무스트레스와 우울 수준, 상태불안 수준을 묻는 설문지를 배포해 최종적으로 98부의 설문데이터를 회수했고, 다중회귀분석을 이용해 매개분석을 시도했다. 그 결과 모든 요인에서의 직무스트레스와 우울 사이에서 상태불안이 완전매개 효과를 보이는 것으로 나타나, 기록물관리 전문요원들의 우울수준을 낮추기 위해 그들의 상태불안 수준이 필히 관리되어야 하는 것으로 분석되었다.

• 한국도서관정보학회지
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• 제41권4호
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• pp.313-332
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• 2010

이 연구는 외국인 유학생이 대학도서관을 방문하였을 때 느끼는 도서관불안 요소를 조사하였다. 조사는 C대학도서관의 유학생 이용자 131명을 대상으로 도서관불안척도(LAS)를 사용하여 성별, 학년, 도서관이용교육, 도서관이용빈도, 한국어능력, 문화적 이질감과의 관계성에 대해 설문조사를 통해 분석하였다. 분석결과, Bostick의 LAS를 이용하여 측정한 외국인 유학생들의 도서관불안 점수는 평균 2.60점이었으며 '기계적인 장벽'으로 인한 불안감이 가장 높게 나타났다. 성별에서는 남자가 여자보다 '도서관의 편안함'과 '도서관에 대한 지식'으로 인한 불안감이 상대적으로 높았다. 도서관이용교육에 참여한 유학생들이 그렇지 못한 유학생에 비해 상대적으로 도서관불안을 적게 느꼈으며 도서관이용빈도가 높을수록 도서관불안감은 감소하는 경향을 보였다. 한국어능력이 높고 문화적 이질감이 낮을수록 도서관불안감이 감소함을 확인하였다. 이상의 분석결과를 토대로 도서관이용교육과 이용빈도 활성화 측면에서 도서관불안 해소방안을 제시하였다.

• 한국정보통신학회논문지
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• 제16권12호
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• pp.2771-2776
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• 2012

본 연구에서는 대학생의 휴대폰 중독에 영향을 미치는 요인들 중에서 불안과 대학생활적응이 어떠한 인과관계의 영향력으로 설명이 될 수 있는지 구조방정식 모형분석을 하였다. 연구대상은 광주광역시 소재 대학교에 재학중인 대학생 479명이며 설문지를 통해 자료를 수집하였다. 자료분석은 SPSS 15.0으로 기술통계, cronbach's ${\alpha}$, 상관분석, 탐색적 요인분석을 실시하였고, AMOS 7.0을 사용하여 확인적 요인분석과 변수들간의 인관과계에 대한 경로분석을 실시하였다. 구조방정식 모형분석 결과는 다음과 같다. 첫째, 외생변수인 대학생의 불안은 대학생활적응에 부의 영향을 미치는 것으로 나타났으며, 대학생활적응은 휴대폰 중독에 부의 영향을 미치는 것으로 나타났다. 둘째, 대학생의 불안은 휴대폰 중독에 정의 영향을 미치는 것으로 확인되었다. 셋째, 대학생활적응은 불안과 휴대폰 중독의 관계에서 매개효과를 미치는 것으로 확인되었다.

• 한국컴퓨터정보학회논문지
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• 제28권3호
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• pp.127-135
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• 2023

본 연구는 대학생들의 취업기대감과 취업소진이 취업불안에 미치는 영향을 분석하고자 하였다. 수집한 데이터는 PASW 18.0 통계 프로그램을 이용하여 빈도분석, 기술통계분석, 신뢰도분석, one-way ANOVA, T-test, 상관관계분석, 다중회귀분석을 실시하였다. 연구결과 첫째, 대학생들은 취업불안 상태보다 취업불안 유발상황과 원인에 대한 불안을 조금 더 경험하는 것으로 나타났다. 둘째, 취업불안은 성별, 학년, 용돈, 월평균 가계소득에 따라 차이가 있는 것으로 밝혀졌다. 셋째, 취업불안은 취업기대감이 낮을수록, 무능감, 부정적 신념, 비인간화 등의 취업소진이 높을수록 더 증가하였다. 넷째, 취업불안과 관련된 변수들의 영향력을 분석한 결과 가장 크게 영향을 미치는 변수는 무능감이었다.