Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/6377
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dc.contributor.authorIchihara, Kiyoshien_US
dc.contributor.authorOzarda, Yesimen_US
dc.contributor.authorBarth, Julian Hen_US
dc.contributor.authorKlee, Georgeen_US
dc.contributor.authorShimizu, Yoshihisaen_US
dc.contributor.authorXia, Liangyuen_US
dc.contributor.authorHoffmann, Marizaen_US
dc.contributor.authorShah, Swarupen_US
dc.contributor.authorMatsha, Tandi Edithen_US
dc.contributor.authorWassung, Janetteen_US
dc.contributor.authorSmit, Francoisen_US
dc.contributor.authorRuzhanskaya, Annaen_US
dc.contributor.authorStraseski, Joelyen_US
dc.contributor.authorBustos, Daniel Nen_US
dc.contributor.authorKimura, Shogoen_US
dc.contributor.authorTakahashi, Akien_US
dc.date.accessioned2018-06-06T10:07:10Z-
dc.date.available2018-06-06T10:07:10Z-
dc.date.issued2017-
dc.identifier.issn0009-8981-
dc.identifier.urihttps://doi.org/10.1016/j.cca.2016.09.015-
dc.identifier.urihttp://hdl.handle.net/11189/6377-
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 diseasesen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofClinica Chimica Actaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/za/-
dc.subjectReference valuesen_US
dc.subjectWorldwide multicenter studyen_US
dc.subjectBody mass index (BMI)en_US
dc.subjectMultiple regression analysisen_US
dc.subjectAge-related changesen_US
dc.subjectEthnicity-related changesen_US
dc.subjectBMI-related changesen_US
dc.subjectSmoking-related changesen_US
dc.subjectAlcohol-related changesen_US
dc.titleA global multicenter study on reference values: 2. Exploration of sources of variation across the countriesen_US
dc.type.patentArticleen_US
Appears in Collections:HWSci - Journal Articles (DHET subsidised)
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