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당뇨병 환자에서 심장병 예측 모형 개발의 필요성에 대한 고찰

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dc.contributor.author정금지-
dc.contributor.author지선하-
dc.date.accessioned2018-11-05T16:40:33Z-
dc.date.available2018-11-05T16:40:33Z-
dc.date.issued2015-
dc.identifier.issn2233-7431-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/165034-
dc.description.abstractThe cardiovascular disease (CVD) risk prediction model has been developed based on information on CVD-free subjects, including age, hypertension, diabetes, cholesterol, and smoking status. A methodological review on whether the CVD risk prediction model is appropriate for diabetes patients is necessary. In general, the prediction model consists of three components-relative risk (RR), mean of risk factors, and survival rate. The prediction model would be useable if no differences in those components are found between the general population and diabetes patients. However, in our results, differences were found in the mean of risk factors and survival rate of CVD between the general population and diabetes patients, while no difference was found in RR. In other words, diabetes patients had a significantly increased mean of risk factors and decreased survival rates for CVD. Since the existing CVD risk prediction model for the general population is not applicable to diabetes patients, it is critical to develop a new model for them.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageKorean-
dc.publisherKorean Diabetes Association-
dc.relation.isPartOfJournal of Korean Diabetes-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title당뇨병 환자에서 심장병 예측 모형 개발의 필요성에 대한 고찰-
dc.title.alternativeReview on Cardiovascular Disease Prediction Model in Diabetes Patients-
dc.typeArticle-
dc.contributor.collegeGraduate School of Public Health (보건대학원)-
dc.contributor.departmentGraduate School of Public Health (보건대학원)-
dc.contributor.googleauthor정금지-
dc.contributor.googleauthor지선하-
dc.identifier.doi10.4093/jkd.2015.16.1.6-
dc.contributor.localIdA03580-
dc.contributor.localIdA03965-
dc.relation.journalcodeJ02878-
dc.subject.keywordCardiovascular disease-
dc.subject.keywordDiabetes mellitus-
dc.subject.keywordForecasting-
dc.subject.keywordCardiovascular disease-
dc.subject.keywordDiabetes mellitus-
dc.subject.keywordForecasting-
dc.contributor.alternativeNameJung, Keum Ji-
dc.contributor.alternativeNameJee, Sun Ha-
dc.contributor.affiliatedAuthor정금지-
dc.contributor.affiliatedAuthor지선하-
dc.citation.volume16-
dc.citation.number1-
dc.citation.startPage6-
dc.citation.endPage10-
dc.identifier.bibliographicCitationJournal of Korean Diabetes, Vol.16(1) : 6-10, 2015-
dc.identifier.rimsid58593-
dc.type.rimsART-
Appears in Collections:
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers

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