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The relationship of metabolic syndrome and constitutional medicine for the prediction of cardiovascular disease

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dc.contributor.authorCho, N.H.-
dc.contributor.authorKim, J.Y.-
dc.contributor.authorKim, S.S.-
dc.contributor.authorShin, C.-
dc.date.accessioned2021-09-06T10:06:10Z-
dc.date.available2021-09-06T10:06:10Z-
dc.date.created2021-06-17-
dc.date.issued2013-
dc.identifier.issn1871-4021-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/106017-
dc.description.abstractThe concept of Sasang Constitutional Medicine (SCM) has been in existence in Traditional Korean Medicine for more than 100 years. SCM consists of 4 different types; So-Eum (SE), So-Yang (SY), Tae-Eum (TE), and Tae-Yang (TY). In Western medicine, it is more like stratifying individuals according to phenotypic expression. It is of great importance that the Sasang constitution type be evaluated accurately and recognized by the medical communities for prevention, early diagnosis and treatment of cardiovascular diseases (CVD). Subjects and methods From the Ansung-Ansan prospective cohort study, 10,038 participants were recruited from years 2001-2002. Of 10,038 original participants, 3022 subjects underwent Sasang Constitutional Type (SCT) evaluation. The Cox proportional hazard model was used to predict CVD during the ten year follow-up period. Results Of 3022 participants, SCT classified into 364 (12%) SE, 1053 (34.8%) SY, 1605 (53.1%) TE, and no TY. Three hundred seventy nine (16%) newly developed CVD during the following period, yielding 10-year cumulative incidence of 160/1000 person. The frequency of CVD within three SCT without metabolic syndrome (MetS) shows 13.4% in SE, 13.6% in SY, and 14.3% in TE, respectively (p = NS). The CVD events were significantly different among the types when MetS was present. The demographic and clinical characteristics revealed the TE group was significantly older, more obese, higher blood pressure, glucose values, and lipid profiles levels. The frequency of MetS and type 2 diabetes mellitus (T2DM) was also higher in TE type than either SE and SY types (all p < 0.001). The Cox proportional hazard analysis revealed age, female gender, rural residence, higher ALT level, and lower beta-cell function remain as an independent risk factor, as well as SY with MetS (RR = 1.838 (95% CI 1.23-2.74), p = 0.003). Furthermore, 10 year CVD survival rate was 86.4% in no MetS group, 83.4% in TE, 79.6% in SE, and 76.4% in SY all with MetS (p < 0.001). Conclusions The findings from this study suggest MetS increases risk for CVD in certain physical conditions like SY type. Therefore, we would like to suggest that SCT is a strong indicator for CVD. © 2013 Diabetes India.-
dc.languageEnglish-
dc.language.isoen-
dc.subjectalanine aminotransferase-
dc.subjectglucose-
dc.subjecthemoglobin A1c-
dc.subjecthigh density lipoprotein cholesterol-
dc.subjectlow density lipoprotein cholesterol-
dc.subjecttriacylglycerol-
dc.subjectalanine aminotransferase blood level-
dc.subjectalcohol consumption-
dc.subjectangina pectoris-
dc.subjectarticle-
dc.subjectblood pressure measurement-
dc.subjectbody build-
dc.subjectcardiovascular disease-
dc.subjectchest circumference-
dc.subjectclinical feature-
dc.subjectcohort analysis-
dc.subjectdemography-
dc.subjectdiastolic blood pressure-
dc.subjectdisease association-
dc.subjectdrinking behavior-
dc.subjecteating habit-
dc.subjectfemale-
dc.subjectfollow up-
dc.subjectgender-
dc.subjectglucose blood level-
dc.subjectheart infarction-
dc.subjecthuman-
dc.subjecthypertension-
dc.subjectincidence-
dc.subjectischemic heart disease-
dc.subjectlipid blood level-
dc.subjectmajor clinical study-
dc.subjectmale-
dc.subjectmetabolic syndrome X-
dc.subjectneck circumference-
dc.subjectnon insulin dependent diabetes mellitus-
dc.subjectobesity-
dc.subjectpancreas function-
dc.subjectpancreas islet beta cell-
dc.subjectpersonality-
dc.subjectpredictive value-
dc.subjectpriority journal-
dc.subjectproportional hazards model-
dc.subjectprospective study-
dc.subjectrisk factor-
dc.subjectrural population-
dc.subjectsurvival rate-
dc.subjectsystolic blood pressure-
dc.subjectwaist circumference-
dc.subjectCardiovascular disease-
dc.subjectMetabolic syndrome-
dc.subjectSasang constitutional medicine-
dc.subjectAdult-
dc.subjectAsian Continental Ancestry Group-
dc.subjectBody Constitution-
dc.subjectCardiovascular Diseases-
dc.subjectCohort Studies-
dc.subjectEarly Diagnosis-
dc.subjectFemale-
dc.subjectHumans-
dc.subjectIncidence-
dc.subjectMale-
dc.subjectMedicine, Korean Traditional-
dc.subjectMetabolic Syndrome X-
dc.subjectMiddle Aged-
dc.subjectPhenotype-
dc.subjectPredictive Value of Tests-
dc.subjectProportional Hazards Models-
dc.subjectProspective Studies-
dc.subjectReproducibility of Results-
dc.subjectRepublic of Korea-
dc.subjectRisk Factors-
dc.subjectSomatotypes-
dc.titleThe relationship of metabolic syndrome and constitutional medicine for the prediction of cardiovascular disease-
dc.typeArticle-
dc.contributor.affiliatedAuthorShin, C.-
dc.identifier.doi10.1016/j.dsx.2013.08.003-
dc.identifier.scopusid2-s2.0-84888988048-
dc.identifier.bibliographicCitationDiabetes and Metabolic Syndrome: Clinical Research and Reviews, v.7, no.4, pp.226 - 232-
dc.relation.isPartOfDiabetes and Metabolic Syndrome: Clinical Research and Reviews-
dc.citation.titleDiabetes and Metabolic Syndrome: Clinical Research and Reviews-
dc.citation.volume7-
dc.citation.number4-
dc.citation.startPage226-
dc.citation.endPage232-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusalanine aminotransferase-
dc.subject.keywordPlusglucose-
dc.subject.keywordPlushemoglobin A1c-
dc.subject.keywordPlushigh density lipoprotein cholesterol-
dc.subject.keywordPluslow density lipoprotein cholesterol-
dc.subject.keywordPlustriacylglycerol-
dc.subject.keywordPlusalanine aminotransferase blood level-
dc.subject.keywordPlusalcohol consumption-
dc.subject.keywordPlusangina pectoris-
dc.subject.keywordPlusarticle-
dc.subject.keywordPlusblood pressure measurement-
dc.subject.keywordPlusbody build-
dc.subject.keywordPluscardiovascular disease-
dc.subject.keywordPluschest circumference-
dc.subject.keywordPlusclinical feature-
dc.subject.keywordPluscohort analysis-
dc.subject.keywordPlusdemography-
dc.subject.keywordPlusdiastolic blood pressure-
dc.subject.keywordPlusdisease association-
dc.subject.keywordPlusdrinking behavior-
dc.subject.keywordPluseating habit-
dc.subject.keywordPlusfemale-
dc.subject.keywordPlusfollow up-
dc.subject.keywordPlusgender-
dc.subject.keywordPlusglucose blood level-
dc.subject.keywordPlusheart infarction-
dc.subject.keywordPlushuman-
dc.subject.keywordPlushypertension-
dc.subject.keywordPlusincidence-
dc.subject.keywordPlusischemic heart disease-
dc.subject.keywordPluslipid blood level-
dc.subject.keywordPlusmajor clinical study-
dc.subject.keywordPlusmale-
dc.subject.keywordPlusmetabolic syndrome X-
dc.subject.keywordPlusneck circumference-
dc.subject.keywordPlusnon insulin dependent diabetes mellitus-
dc.subject.keywordPlusobesity-
dc.subject.keywordPluspancreas function-
dc.subject.keywordPluspancreas islet beta cell-
dc.subject.keywordPluspersonality-
dc.subject.keywordPluspredictive value-
dc.subject.keywordPluspriority journal-
dc.subject.keywordPlusproportional hazards model-
dc.subject.keywordPlusprospective study-
dc.subject.keywordPlusrisk factor-
dc.subject.keywordPlusrural population-
dc.subject.keywordPlussurvival rate-
dc.subject.keywordPlussystolic blood pressure-
dc.subject.keywordPluswaist circumference-
dc.subject.keywordPlusCardiovascular disease-
dc.subject.keywordPlusMetabolic syndrome-
dc.subject.keywordPlusSasang constitutional medicine-
dc.subject.keywordPlusAdult-
dc.subject.keywordPlusAsian Continental Ancestry Group-
dc.subject.keywordPlusBody Constitution-
dc.subject.keywordPlusCardiovascular Diseases-
dc.subject.keywordPlusCohort Studies-
dc.subject.keywordPlusEarly Diagnosis-
dc.subject.keywordPlusFemale-
dc.subject.keywordPlusHumans-
dc.subject.keywordPlusIncidence-
dc.subject.keywordPlusMale-
dc.subject.keywordPlusMedicine, Korean Traditional-
dc.subject.keywordPlusMetabolic Syndrome X-
dc.subject.keywordPlusMiddle Aged-
dc.subject.keywordPlusPhenotype-
dc.subject.keywordPlusPredictive Value of Tests-
dc.subject.keywordPlusProportional Hazards Models-
dc.subject.keywordPlusProspective Studies-
dc.subject.keywordPlusReproducibility of Results-
dc.subject.keywordPlusRepublic of Korea-
dc.subject.keywordPlusRisk Factors-
dc.subject.keywordPlusSomatotypes-
dc.subject.keywordAuthorCardiovascular disease-
dc.subject.keywordAuthorMetabolic syndrome-
dc.subject.keywordAuthorSasang constitutional medicine-
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