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
질문

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국사회체육학회 한국사회체육학회지 한국사회체육학회지 제38권 제2호
발행연도
2009.11
수록면
831 - 844 (14page)
DOI
10.51979/KSSLS.2009.11.38.831

이용수

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

초록· 키워드

오류제보하기
The purpose of this study was to identify the effects of combined exercise according to the polymorphism in the UCP-1 gene of obese mid-aged women. For this study 53 women, who were over 35% body fat and did not involved in regular exercise, were assigned according to gene types in the UCP-1 polymorphism(mutation; AG, GG, and normal; AA). All of subjects performed combined program at the gym for aerobic and weight training, 90min/session, 3times/week during 12 weeks. The statistical analysis were used by t-test and one way ANOVA. Post hoc applied with LSD. The results are as follow. Frequencies of normal gene were 41.5%, mutation gene were 58.5%(GG 17 and AG 14) in this subjects. It also was appeared in G allele 45.3% and A allele 54.7%. There are significantly decreased in body composition between pre and post exercise in the all of subjects. However, in the case according to the UCP-1 gene polymorphism, they did not appeared significant differences among normal and mutation groups. the muscular endurence in GG and flexibility in AA were significantly different in fitness factors after combined exercise. But there were no difference among group of UCP-1 gene polymorphism. Except above variables, the other factors(blood profile and blood pressure) were not changed significantly after combined exercise. In conclusion, even though combined exercise for obese women in this study was effective for the body composition and fitness significantly, and others non-significantly after 12 weeks, the associations among UCP-1 gene polymorphism subtypes and measure variables could not find in the study.

목차

등록된 정보가 없습니다.

참고문헌 (29)

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