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
연세대학교 의과대학 Yonsei Medical Journal Yonsei Medical Journal 제61권 제3호
발행연도
2020.1
수록면
218 - 228 (11page)

이용수

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

초록· 키워드

오류제보하기
Purpose: Metabolic syndrome (MetS) is a major public health problem related to increased risks of cardiovascular disease andtype 2 diabetes. We investigated whether recommended levels of leisure time physical activity (LTPA) decrease the risk of MetS ina community-based prospective cohort study (Ansung and Ansan cohort). Materials and Methods: A total of 3910 adults (1890 men, 2020 women) without MetS examined in 2001–2002 (baseline) wereincluded in this study and followed up from 2013 to 2014. We measured LTPA energy expenditure using the standard metabolicequivalent value [metabolic equivalent of task (MET)-h/wk]. Individuals were categorized into five groups (physically inactive, 0.1to <7.5, 7.5 to <15.0, 15.0 to <22.5, 22.5 to <40.0, and ≥40.0 MET-h/wk). Results: The mean follow-up period was 11.8 years. Among the cohort, 482 men (25.5%) and 541 women (26.8%) were diagnosedwith newly developed MetS. Multivariate logistic analysis revealed a 4.4% lower MetS risk among those performing two to threetimes the recommended minimum of 7.5 MET-h/wk [multivariate relative risk (RR), 0.956; 95% confidence interval (CI), 0.654–1.398] and a 21.9% lower risk among those performing three to four times the physical activity minimum (multivariate RR, 0.781;95% CI, 0.574–1.063). This association was only significant in females performing three to four times the minimum (crude RR,0.655; 95% CI, 0.432–0.994). Conclusion: We noted that physical activity at more than 2 times the recommended minimum prevents MetS. Healthcare professionalsshould encourage inactive adults to be physically active during their leisure time to take advantage of its health benefits.

목차

등록된 정보가 없습니다.

참고문헌 (40)

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