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논문 기본정보

건강 증진을 위한 평소 증상 기반의 한열변증 설문지 개발 - 신뢰도를 중심으로

논문 개요

기관명, 저널명, ISSN, ISBN 으로 구성된 논문 개요 표입니다.
기관명 NDSL
저널명 동의생리병리학회지 = Journal of physiology pathology in Korean Medicine
ISSN 1738-7698,2283-2529
ISBN

논문저자 및 소속기관 정보

저자, 소속기관, 출판인, 간행물 번호, 발행연도, 초록, 원문UR, 첨부파일 순으로 구성된 논문저자 및 소속기관 정보표입니다
저자(한글) 여민경,박기현,배광호,장은수,이영섭
저자(영문)
소속기관
소속기관(영문)
출판인
간행물 번호
발행연도 2016-01-01
초록 This study was performed to develop questionnaire of cold-heat pattern identification(PI) based on usual symptoms for general people, and we analyzed reliability of the questionnaire. We reviewed cold-heat PI questionnaire of advanced research and selected twenty-three items through three time experts meeting. Three hundred and fifty nine healthy subjects were joined in this study. As a results, Cronbach's alpha; of cold-heat PI questionnaire was 0.79 and 0.83. According to the factor analysis about fifteen-chosen cold-heat PI questionnaires, each cold-heat consisted of two factors and each Convergence was 56.46% and 65.93%. Intra-class Correlation Coefficient was 0.67-0.83. Based on the median of samples of primary source, we classified subjects into four category as Cold, Heat, No Cold-Heat, and Cold-heat complex. We examined agreement of diagnosis and coefficient of kappa, and agreement rate of diagnosis was 64.2%, and coefficient of kappa was 0.51. Based on research result, we expect that validity study about questionnaire of cold-heat PI based on usual symptoms will be continued, and hope to be used as subsidiary diagnosis in clinical practice.
원문URL http://click.ndsl.kr/servlet/OpenAPIDetailView?keyValue=03553784&target=NART&cn=JAKO201614735106105
첨부파일

추가정보

과학기술표준분류, ICT 기술분류,DDC 분류,주제어 (키워드) 순으로 구성된 추가정보표입니다
과학기술표준분류
ICT 기술분류
DDC 분류
주제어 (키워드) Cold-Heat Pattern Identification,Questionnaire,Reliability,Usual Symptoms