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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 구본정
- 발행연도
- 2015
- 저작권
- 충남대학교 논문은 저작권에 의해 보호받습니다.
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이 논문의 연구 히스토리 (3)
2015
당뇨병 전기 환자에서 대사증후군의 선별지표로 허리/신장비의 효용성
김지민
의학과
2015.01
학위논문
당뇨병전기 환자에서 대사증후군의 예측인자로 허리/신장비의 효용성 (대한비만학회지 2015;24:36-43)
김지민
,
구본정
Journal of Obesity & Metabolic Syndrome
2015.01
학술저널
당뇨병전기 환자에서 대사증후군의 예측인자로 허리/신장비의효용성
김지민
,
백민경
,
주상현 /Sang Hyun Joo
외 7명
Journal of Obesity & Metabolic Syndrome
2015.01
학술저널
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- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
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초록· 키워드
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Purpose: Metabolic syndrome is associated with type 2 diabetes and cardiovascular disease in patients with prediabetes. The aim of this study was to investigate and compare WHtR (Waist-to-Height Ratio) as a screening tool for the prediction of metabolic syndrome with other anthropometric indices as in; Body Mass Index (BMI), Waist Circumference (WC) and Waist to Hip Ratio (WHR) in prediabetes.
Methods: A total of 816 subjects with prediabetes were recruited from a c Study. Receiver operating characteristic (ROC) curve was performed to find the optimal cutoff value of WHtR. Area under the curve (AUC) was calculated for each anthropometric index andbetween WHtR and various dermographic and clinical factors was calculated.
Results: WHtR had a significant correlation with metabolic parameters except for fasting glucose and increased with increasing number of risk factors for metabolic syndrome. AUC of WHtR was significantly higher than that of other anthropometric indices. The optimal cut off value of WHtR was 0.53 for metabolic syndrome in prediabetes.
Conclusions: WHtR may be the simple and effective anthropometric index for screening metabolic syndrome in prediabetic patients.
Methods: A total of 816 subjects with prediabetes were recruited from a c Study. Receiver operating characteristic (ROC) curve was performed to find the optimal cutoff value of WHtR. Area under the curve (AUC) was calculated for each anthropometric index andbetween WHtR and various dermographic and clinical factors was calculated.
Results: WHtR had a significant correlation with metabolic parameters except for fasting glucose and increased with increasing number of risk factors for metabolic syndrome. AUC of WHtR was significantly higher than that of other anthropometric indices. The optimal cut off value of WHtR was 0.53 for metabolic syndrome in prediabetes.
Conclusions: WHtR may be the simple and effective anthropometric index for screening metabolic syndrome in prediabetic patients.
목차
Ⅰ. 서 론 1Ⅱ. 대상 및 방법 3Ⅲ. 결 과 7Ⅳ. 고 찰 10Ⅴ. 결 론 14참 고 문 헌 15ABSTRACT 28
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