메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
박민애 (가천대학교) 서화정 (가천대학교)
저널정보
대한불안의학회 대한불안의학회지 대한불안의학회지 제17권 제1호
발행연도
2021.1
수록면
34 - 40 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

이 논문의 연구 히스토리 (2)

초록· 키워드

오류제보하기
Objective : The questionnaire-based study model has a problem in that there is no information on diseases and drugs to determine the association between mood disorders and the severity of comorbid diseases in cancer survivors. This study used claim data collected by the National Health Insurance Corporation over nine years to identify risk factors of mood disorders in breast cancer survivors Methods : 2,065 patients were included in this study, excluding someone who were diagnosed mood disorders one year before breast cancer diagnosis. All statistical analysis was performed with R4.0.0 Chi-Square test and Cox’s proportional hazards model was performed. Results : Chi-square test was performed to confirm the general characteristics of the subjects. There were 461 (22.32%) patients with mood disorders and 1,604 (77.67%) patients with no mood disorders. In the univariate Model 1 according to the CCI, the HR in the case of CCI 2 was analyzed as 1.629(95% CI, 1.15-2.30), CCI≥3 was analyzed as 2.031(95% CI 1.48-2.78), compared to the study subjects with CCI=0. The age and survivorship adjusted Model 2 HR, CCI=2 was 1.615(95% CI, 1.14-2.28), CCI≥3 was analyzed as 1.924 (95% CI 1.40-2.65). The fully adjusted Model 3 HR, CCI=2 was 1.599 (95% CI, 1.12-2.28), CCI≥3 was analyzed as 1.760 (95% CI 1.25-2.49). Conclusion : In order to improve the long-term quality of life for breast cancer survivors in the future, it is necessary to manage survivorship, the severity of comorbidities, which are identified as risk factors for the development of mood disorders. (Anxiety and Mood 2021;17(1):34-40)

목차

등록된 정보가 없습니다.

참고문헌 (27)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0