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
전인철 (호서대학교)
저널정보
KEMA학회 근골격계과학기술학회 근골격계과학기술학회 제3권 제2호
발행연도
2019.1
수록면
54 - 58 (5page)

이용수

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

초록· 키워드

오류제보하기
ABSTRACT Background The strength of iliopsoas muscle is frequently measured to evaluate the performance of hip flexion in the clinical setting. However, little research into the test- retest reliability of iliopsoas muscle strength in subjects with lumbar extension syndrome (LES) in supine position has been reported. Purpose The purpose was to compare the test-retest reliability of iliopsoas strength measurement in supine position with break and make test in subjects with LES. The iliopsoas muscle is very important in the hip joint structures. The reliable measurement is essential to evaluate the performance of hip flexion. Study design Reliability study. Methods Twenty subjects were enrolled in this study. The strength of iliopsoas muscle was measured in supine position, with using a smart KEMA tensiometer system for make test, using a hand held dynamometer for break test. The intra class correlation coefficients (ICC 3, 1) were used to determine test-retest reliability of iliopsoas muscle strength. Results Test-retest reliability of iliopsoas muscle strength measurements in make test was significantly greater compared with break test (p<0.05). The value of ICC with make test was greater than make test (0.86 for make test, 0.71 for break test). Additionally, the coefficients of variation (4.5% for make test, 18.3% for break test) was better in the supine position with make test. Conclusions The measurement of iliopsoas muscle strength in make test can be more reliable than break test in subjects with LES in supine position. The make test in supine position can be recommended for reliable measurement of iliopsoas muscle in subjects with LES.

목차

등록된 정보가 없습니다.

참고문헌 (16)

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