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대사 증후군을 예측하는 가장 유용한 비만 지표
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김범택 | - |
| dc.contributor.author | Su Youn Kim | - |
| dc.date.accessioned | 2019-10-21T07:17:09Z | - |
| dc.date.available | 2019-10-21T07:17:09Z | - |
| dc.date.issued | 2012-02 | - |
| dc.identifier.other | 12142 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/17790 | - |
| dc.description | 학위논문(석사)아주대학교 일반대학원 :의학과,2012. 2 | - |
| dc.description.tableofcontents | ABSTRACT TABLE OF CONTENTS LIST OF FIGURES LIST OF TABLES Ⅰ. INTRODUCTION Ⅱ. STUDY POPULATION AND METHODS A. Study Population B. Method 1. Health Examination Survey 2. Definition of metabolic syndrome C. Statistical analysis Ⅲ. RESULT A. Characteristics of the Study Population B. AUC of Each Obesity Indicators for Metabolic Syndrome Ⅳ. DISCUSSION Ⅴ. CONCLUSION REFERENCE 국문요약 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 대사 증후군을 예측하는 가장 유용한 비만 지표 | - |
| dc.title.alternative | Su Youn Kim | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Su Youn Kim | - |
| dc.contributor.department | 일반대학원 의학과 | - |
| dc.date.awarded | 2012. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 569983 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000012142 | - |
| dc.subject.keyword | 허리둘레-신장비 | - |
| dc.subject.keyword | 허리둘레 | - |
| dc.subject.keyword | 체질량지수 | - |
| dc.subject.keyword | 대사증후군 | - |
| dc.description.alternativeAbstract | Background: Recent studies have suggested that waist to height ratio (WHtR) is the better indicator to predict cardiovascular risk than body mass index (BMI) and waist circumference (WC). The aim of the study is to identify the best anthropometric index among obesity indicators that predicts metabolic syndrome (MS) in different gender and age groups. Methods: This study is a cross-sectional survey of 6,160 subjects aged 19 years (yr) and over who participated in the Fourth Korea National Health and Nutrition Examination Surveys (KNHANES IV) between January 2008 and December 2008. To compare predictive power of anthropometric indices for MS, the areas under the receiver-operating characteristics curves (AUCs) of BMI, WC and WHtR were calculated. Results: In entire age population, AUC of WHtR was the largest among obesity indicators to predict MS in both genders. However after adjustment for age, there was no significant difference among three obesity indicators in both men and women. When compared within three different age groups, there was no significant difference among three obesity indices for men and young aged women (19-39yr). AUC of WHtR and WC were similar with each other, but greater than AUC of BMI for middle-aged (40-60yr) and elderly (> 60yr) women. Conclusion: There is no superiority among obesity indicators to predict MS in men and young women. BMI has less predicting power for MS in middle-aged and elderly women than WC and WHtR. | - |
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- Graduate School of Ajou University > Department of Medicine > 3. Theses(Master)
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