Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/30018
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dc.contributor.authorIchihara, Kiyoshi-
dc.contributor.authorBarth, Julian H-
dc.contributor.authorKlee, George-
dc.contributor.authorShimizu, Yoshihisa-
dc.contributor.authorXia, Liangyu-
dc.contributor.authorHoffmann, Mariza-
dc.contributor.authorShah, Swarup-
dc.contributor.authorMatsha, Tandi-
dc.contributor.authorWassung, Janette-
dc.contributor.authorSmit, Francois-
dc.contributor.authorRuzhanskaya, Anna-
dc.contributor.authorStraseski, Joely-
dc.contributor.authorBustos, Daniel N-
dc.contributor.authorKimura, Shogo-
dc.contributor.authorTakahashi, Aki-
dc.date.accessioned2022-12-21T13:19:19Z-
dc.date.available2022-12-21T13:19:19Z-
dc.date.issued2017-04-
dc.identifier.citationIchihara, K. vd. (2017). ''A global multicenter study on reference values: 2. Exploration of sources of variation across the countries''. Clinica Chimica Acta, 467(Special Issue), 83-97.tr_TR
dc.identifier.issn0009-8981-
dc.identifier.urihttps://doi.org/10.1016/j.cca.2016.09.015-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0009898116303898-
dc.identifier.uri1873-3492-
dc.identifier.urihttp://hdl.handle.net/11452/30018-
dc.description.abstractObjectives: The intent of this study, based on a global multicenter study of reference values (RVs) for serum analytes was to explore biological sources of variation (SVs) of the RVs among 12 countries around the world. Methods: As described in the first part of this paper, RVs of 50 major serum analytes from 13,396 healthy individuals living in 12 countries were obtained. Analyzed in this study were 23 clinical chemistry analytes and 8 analytes measured by immunoturbidimetry. Multiple regression analysis was performed for each gender, country by country, analyte by analyte, by setting four major SVs (age, BMI, and levels of drinking and smoking) as a fixed set of explanatory variables. For analytes with skewed distributions, log-transformation was applied. The association of each source of variation with RVs was expressed as the partial correlation coefficient (rp). Results: Obvious gender and age-related changes in the RVs were observed in many analytes, almost consistently between countries. Compilation of age-related variations of RVs after adjusting for between-country differences revealed peculiar patterns specific to each analyte. Judged from the rp, BMI related changes were observed for many nutritional and inflammatory markers in almost all countries. However, the slope of linear regression of BMI vs. RV differed greatly among countries for some analytes. Alcohol and smoking-related changes were observed less conspicuously in a limited number of analytes. Conclusion: The features of sex, age, alcohol, and smoking-related changes in RVs of the analytes were largely comparable worldwide. The finding of differences in BMI-related changes among countries in some analytes is quite relevant to understanding ethnic differences in susceptibility to nutritionally related diseases.tr_TR
dc.description.sponsorshipMinistry of Education, Culture, Sports, Science and Technology, Japan (MEXT) Japan Society for the Promotion of Science - 24256003tr_TR
dc.language.isoentr_TR
dc.publisherElseviertr_TR
dc.rightsinfo:eu-repo/semantics/openAccesstr_TR
dc.subjectMedical laboratory technologytr_TR
dc.subjectAge-related changestr_TR
dc.subjectAlcohol-related changestr_TR
dc.subjectBMI-related changestr_TR
dc.subjectBody mass index (BMI)tr_TR
dc.subjectEthnicity-related changestr_TR
dc.subjectMultiple regression analysistr_TR
dc.subjectReference valuestr_TR
dc.subjectSmoking-related changestr_TR
dc.subjectWorldwide multicenter studytr_TR
dc.subjectC-reactive proteintr_TR
dc.subjectCommon reference intervalstr_TR
dc.subjectEthnic-groupstr_TR
dc.subjectMyocardial-infarctiontr_TR
dc.subjectRisk-factorstr_TR
dc.subjectCollaborative derivationtr_TR
dc.subjectWorldwide multicentertr_TR
dc.subjectBiochemical analytestr_TR
dc.subjectCardiovascular risktr_TR
dc.subjectHepatic steatosistr_TR
dc.subject.meshAge factorstr_TR
dc.subject.meshBody mass indextr_TR
dc.subject.meshClinical laboratory techniquestr_TR
dc.subject.meshEthnic groupstr_TR
dc.subject.meshFemaletr_TR
dc.subject.meshHumanstr_TR
dc.subject.meshInternationalitytr_TR
dc.subject.meshMaletr_TR
dc.subject.meshReference valuestr_TR
dc.subject.meshSex factorstr_TR
dc.titleA global multicenter study on reference values: 2. Exploration of sources of variation across the countriestr_TR
dc.typeArticletr_TR
dc.identifier.wos000402352700013tr_TR
dc.identifier.scopus2-s2.0-85020668326tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergitr_TR
dc.contributor.departmentUludağ Üniversitesi/Tıp Fakültesi/Tıbbi Biyokimya Anabilim Dalı.tr_TR
dc.identifier.startpage83tr_TR
dc.identifier.endpage97tr_TR
dc.identifier.volume467tr_TR
dc.identifier.issueSpecial Issuetr_TR
dc.relation.journalClinica Chimica Actatr_TR
dc.contributor.buuauthorÖzarda, Yeşim-
dc.contributor.researcheridAAL-8873-2021tr_TR
dc.relation.collaborationYurt dışıtr_TR
dc.identifier.pubmed27666762tr_TR
dc.subject.wosMedical laboratory technologytr_TR
dc.indexed.wosSCIEtr_TR
dc.indexed.scopusScopustr_TR
dc.indexed.pubmedPubMedtr_TR
dc.wos.quartileQ2tr_TR
dc.contributor.scopusid35741320500tr_TR
dc.subject.scopusClinical Chemistry; Thyrotropin; Chemical Speciestr_TR
dc.subject.emtreeAlanine aminotransferasetr_TR
dc.subject.emtreeAlbumintr_TR
dc.subject.emtreeAlkaline phosphatasetr_TR
dc.subject.emtreeAmylasetr_TR
dc.subject.emtreeC reactive proteintr_TR
dc.subject.emtreeComplement component C3tr_TR
dc.subject.emtreeComplement component C4tr_TR
dc.subject.emtreeCreatine kinasetr_TR
dc.subject.emtreeFolic acidtr_TR
dc.subject.emtreeGamma glutamyltransferasetr_TR
dc.subject.emtreeHigh density lipoprotein cholesteroltr_TR
dc.subject.emtreeImmunoglobulin Atr_TR
dc.subject.emtreeImmunoglobulin Gtr_TR
dc.subject.emtreeImmunoglobulin Mtr_TR
dc.subject.emtreeLow density lipoprotein cholesteroltr_TR
dc.subject.emtreeParathyroid hormonetr_TR
dc.subject.emtreeAdulttr_TR
dc.subject.emtreeAfricantr_TR
dc.subject.emtreeAge distributiontr_TR
dc.subject.emtreeAlcohol consumptiontr_TR
dc.subject.emtreeAlcoholismtr_TR
dc.subject.emtreeArgentinatr_TR
dc.subject.emtreeArticletr_TR
dc.subject.emtreeBody masstr_TR
dc.subject.emtreeChinatr_TR
dc.subject.emtreeControlled studytr_TR
dc.subject.emtreeCorrelation analysistr_TR
dc.subject.emtreeDiagnostictr_TR
dc.subject.emtreeTest accuracy studytr_TR
dc.subject.emtreeDrinkingtr_TR
dc.subject.emtreeEthnic differencetr_TR
dc.subject.emtreeEthnicitytr_TR
dc.subject.emtreeFemaletr_TR
dc.subject.emtreeGenetic susceptibilitytr_TR
dc.subject.emtreeGeographic distributiontr_TR
dc.subject.emtreeHumantr_TR
dc.subject.emtreeIndiatr_TR
dc.subject.emtreeJapantr_TR
dc.subject.emtreeMaletr_TR
dc.subject.emtreeMenopausetr_TR
dc.subject.emtreeMulticenter studytr_TR
dc.subject.emtreeMultiple regressiontr_TR
dc.subject.emtreePakistantr_TR
dc.subject.emtreePhilippinestr_TR
dc.subject.emtreeReference valuetr_TR
dc.subject.emtreeRussian federationtr_TR
dc.subject.emtreeSauditr_TR
dc.subject.emtreeSmokingtr_TR
dc.subject.emtreeSouth Africatr_TR
dc.subject.emtreeTurkey (republic)tr_TR
dc.subject.emtreeUnited kingdomtr_TR
dc.subject.emtreeUnited statestr_TR
dc.subject.emtreeAgetr_TR
dc.subject.emtreeClinical trialtr_TR
dc.subject.emtreeEthnic grouptr_TR
dc.subject.emtreeInternational cooperationtr_TR
dc.subject.emtreeLaboratory techniquetr_TR
dc.subject.emtreeReference valuetr_TR
dc.subject.emtreeSex differencetr_TR
dc.subject.emtreeStandardstr_TR
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