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
기선경 (인제대학교)
저널정보
한국체육과학회 한국체육과학회지 한국체육과학회지 제26권 제1호 (자연과학 편)
발행연도
2017.2
수록면
1,161 - 1,174 (14page)
DOI
10.35159/kjss.2017.02.26.1.1161

이용수

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

초록· 키워드

오류제보하기
In recent times, the prevalence of metabolic syndrome is increasing every year, intensifying the burdens borne by individuals and society. The purposes of this study were to classify elderly female physical fitness factors such as cardiovascular endurance, strength, flexibility, power, agility, and balance. And compare elderly women both with and without metabolic syndrome to verify any differences between physical fitness and metabolic syndrome risk factors, using the results as baseline data for lowering metabolic syndrome prevalence. An investigation of 100 elderly women aged 65 years or older revealed that 58% of them had metabolic syndrome. The study investigated whether there was a significant difference based on age and the results indicated only a significant difference in systolic blood pressure(F=5.324, p<.01). In addition, as age increased, the percentage of participants with metabolic syndrome also increased. There was a significant positive correlation between metabolic syndrome and weight, waist circumference, neutral fat, systolic blood pressure, and diastolic blood pressure. The physical fitness factors were analyzed to observe any significant differences according to whether the subject had metabolic syndrome. The results of running an independent t-test analysis revealed that while the overall physical fitness of the metabolic syndrome group fell across-the-board, there were no statistically significant levels found in most of the factors except for being able to bend forward while sitting in a chair, which was the only factor that influenced metabolic syndrome.

목차

Abstract
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. 결과
Ⅳ. 논의
Ⅴ. 결론
참고문헌

참고문헌 (38)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

이 논문과 함께 이용한 논문

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2017-692-002308211