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
이상섭 (가톨릭대학교 서울성모병원 정신건강의학교실) 김붕년 (서울대학교) 박수빈 (국립정신건강센터 연구기획과) 박민현 (가톨릭대학교)
저널정보
대한신경정신의학회 신경정신의학 신경정신의학 제56권 제2호
발행연도
2017.5
수록면
78 - 83 (6page)
DOI
https://doi.org/10.4306/jknpa.2017.56.2.78

이용수

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

초록· 키워드

오류제보하기
Objective This study examined the association between the sleep patterns and depression of middle school students in Seoul. Methods 450 adolescents attending middle school (mean age 14.07 years, 40% male) responded to the survey. The participants answered the self-administered questionnaires about sleep patterns (Morningness-Eveningness Questionnaire, MEQ), sleep problems (Insomnia Severity Index, ISI ; Epworth Sleepiness Scale, ESS), and depressive symptoms (Children’s Depression Inventory, CDI). Results The depressive group represented 25.9% of the total study sample with females exhibiting higher depressive index scores than males. Although the difference in the total sleeping time between the depressive group and control group was unspecified, the ISI and ESS scores were significantly higher in the depressive group than in the control group. In addition, there was a significant positive correlation between the total ISI and CDI scores. Those who scored higher than 8 on the ISI were 2.24 times more likely to belong to the depressive group, and those who scored higher than 7 on the ESS were 2.23 times more likely to belong to the depressive group. Conclusion The depressive group tended to suffer from insomnia and experience more severe daytime sleepiness than students in the control group. In addition, students suffering from more severe insomnia tended to have higher CDI scores than their counterparts. Furthermore, students suffering from insomnia and/or experiencing daytime sleepiness were at least twice as likely to develop depression than other students.

목차

등록된 정보가 없습니다.

참고문헌 (5)

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