인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
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지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Academic burn-out is a state of emotional, and physical exhaustion caused by prolonged stress over the course of the semester and academic year. It is composed of exhaustion, inefficacy, and cynicism. The purpose of this study was to reveal that the academic burn-out would be significantly different between early and the end stage of semester, and the sub pattern would be different according to Sasang constitution among the healthcare college students. The first survey was conducted in early March 2018 and the second one was done in the end of June 2018. Total 386 questionnaires concerning KS-15 of Sasang Constitution, MBI-SS of academic burn-out and general characteristics such as drinking, smoking and so on were collected and 9 of them were excluded, because of insufficient answers. The academic burn-out score significantly increased from 56 in early stage of semester to 63 in the end stage of semester (p <.001). In sub-pattern analysis, the exhaustion score significantly increased from 21.3 to 26.7 (p <.001), and cynicism score increased from 15.4 to 17 (p <.001). The cynicism score of drinking alcohol group (16.21±5.572) was higher than the non-drinking alcohol group (14.62±5.859), and the exhaustion score of smoking group (23.75±6.942) was significantly higher than that of non-smoking group (21.05±6.697) in early stage of semester. The exhaustion score of female (27.47±5.762) was higher than that of male (26.02±6.536) (p =.024), and the inefficacy score of Taeeumin (20.13±5.244) was significantly higher than that of Soyangin (18.15±5.588) in the end stage of semester. The healthcare college student experiences academic burn-out, and there is significantly different according to gender and SC in sub-pattern. Further study is needed to manage the academic burn-out according gender and Sasang constitution.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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UCI(KEPA) : I410-ECN-0101-2019-519-000779809