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Factors associated with Anxiety and Depression among University Students during the COVID-19 Pandemic in Korea

첫 페이지 보기
  • 발행기관
    국제문화기술진흥원 바로가기
  • 간행물
    International Journal of Advanced Culture Technology(IJACT) KCI 등재 바로가기
  • 통권
    Volume 11 Number 1 (2023.03)바로가기
  • 페이지
    pp.1-11
  • 저자
    Moo-Sik Lee, Yeon-Kyung Seo, Kyung-Tae Kim, Tae-Jun Lee, Achangwa Chiara, Jung-Hee Park
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A427508

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원문정보

초록

영어
Backgrounds: As the COVID-19 pandemic continues, the university students population is one of the high risk and vulnerable groups. This study analyzed the status of student’s mental health, including anxiety and depression caused by COVID-19, and its related factors among a university students in Korea. Methods : Our study subjects included university students in Korea. The survey items included general characteristics, teaching methods, physical activity, eating habits (SDBQ-L), weight-related questions, general anxiety disorder-7(GAD-7), and depression symptoms checklist. Frequency analysis, chi-square test, and logistic regression analysis were performed and data was analyzed using R version 4.1.2 program. Results : The prevalence of anxiety complaints was 5.5%, while the prevalence of depression complaints was 30.8%. In the multivariable logistic regression analysis of factors influencing anxiety, anxiety occurred 19.081 times (95% confidence interval (CI): 2.352-154.807) in the group with unhealthy diet (p<0.01). While in the multivariable analysis to identify factors affecting depression, women were 2.607 times significantly higher (95% CI: 1.255-5.415) than men, 0.407 times (95% CI:0.197-0.840) for residents of the metropolitan area, 3.418 times higher (95% CI:1.633-7.198) for unhealthy dietary people, and 2.225 times higher (95% CI: 1.080-4.582) for weight gainers (p<0.05). The type of class had no effect. Conclusions: COVID-19 and its associated interventions had negative effects on the mental health status including anxiety and depression in university students in Korea. Based on our results we recommend developing mental health interventions and prevention strategies for students in all universities in Korea.

목차

Abstract
1. INTRODUCTION
2. MATEIIALS AND METHODS
2.1 Research design and study subjects
2.2 Survey items
3. RESULTS
3.1 Distribution of anxiety and depression complaints according to the distribution of general characteristics of survey subjects
3.3 Distribution of Anxiety and Depression Complaints According to Class Method and Health Behavior
3.4 Multivariate Logistic Regression Associated with Anxiety
3.5 Multivariate Logistic Regression Analysis Associated with Depression
4. DISCUSSION
5. CONCLUSIONS
REFERENCES

키워드

COVID-19 Anxiety Depression University Students Korea

저자

  • Moo-Sik Lee [ Department of Preventive Medicine & Public Health, College of Medicine, Konyang University ]
  • Yeon-Kyung Seo [ Department of Medicine, College of Medicine, Konyang University ]
  • Kyung-Tae Kim [ Department of Medicine, College of Medicine, Konyang University ]
  • Tae-Jun Lee [ Department of Public Health, Graduate School of Public Health and Welfare, Konyang University ]
  • Achangwa Chiara [ Department of Public Health, Graduate School of Public Health and Welfare, Konyang University ]
  • Jung-Hee Park [ Department of Emergency Medical Service, College of Medical Science, Konyang University ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제문화기술진흥원 [The International Promotion Agency of Culture Technology]
  • 설립연도
    2009
  • 분야
    공학>공학일반
  • 소개
    본 진흥원은 문화기술(Culture Technology) 관련 산·학·연·관으로 구성된 비영리 단체이다. 문화기술(CT)은 정보통신기술(ICT), 문화적 사고 기반의 예술, 인문학, 디자인, 사회과학기술이 접목된 신융합기술(New Convergence Technology, NCT)로 정의한다. 인간의 삶의 질을 향상시키고, 진보된 방향으로 변화시키고, 문화기술 관련 분야의 학술 및 기술의 발전과 진흥에 공헌하기 위하여, 제3조의 필요한 사업을 행함을 그 목적으로 한다.

간행물

  • 간행물명
    International Journal of Advanced Culture Technology(IJACT)
  • 간기
    계간
  • pISSN
    2288-7202
  • eISSN
    2288-7318
  • 수록기간
    2013~2025
  • 등재여부
    KCI 등재
  • 십진분류
    KDC 600 DDC 700

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