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
저널정보
대한한방내과학회 대한한방내과학회지 대한한방내과학회지 제40권 제3호
발행연도
2019.1
수록면
369 - 389 (21page)

이용수

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

초록· 키워드

오류제보하기
Objectives: This study aimed to analyze the correlation between Ryodoraku diagnosis and three pattern identification questionnaires, namely, Spleen Qi Deficiency, Stomach Qi Deficiency, and Food Retention in functional dyspepsia (FD) patients. Methods: Forty FD patients who met the Rome IV diagnostic criteria for FD participated in this study. The Ryodoraku test was conducted, and three pattern identification questionnaires were filled up by all patients. The average Ryodoraku score was called total average (TA), and the scores on the Ryodoraku points were measured. The degree of Spleen Qi Deficiency, Stomach Qi Deficiency, and Food Retention was assessed by Spleen Qi Deficiency questionnaire (SQDQ), Scale for Stomach Qi Deficiency pattern (SSQD), and Food Retention Questionnaire (FRQ). Results: The TA scores in the SQDQ patient group were lower than those in the SQDQ control group (p=0.091). The TA scores in the SSQD patient group were higher than those in the SSQD control group (p=0.651). The TA scores in the FRQ patient group were lower than those in the FRQ control group (p=0.851). The scores on the LH5, RH5, and RH6 points were significantly lower in the SQDQ patient group than in the SQDQ control group. However, no significant difference was found in the Ryodoraku scores among the other groups. Conclusions: The results suggest that the low TA and low Ryodoraku scores on the LH5, RH5, and RH6 points could be a quantitative indicator to diagnose Spleen Qi Deficiency in FD patients in a simpler manner. Larger studies on the Ryodoraku test in FD patients, the health control group, and other pattern identification groups are required.

목차

등록된 정보가 없습니다.

참고문헌 (36)

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