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dc.contributor.authorNCD Risk Factor Collaboration (NCD-RisC)
dc.date.accessioned2023-12-19T09:30:58Z
dc.date.available2023-12-19T09:30:58Z
dc.date.issued2023
dc.identifier.citationNCD Risk Factor Collaboration (NCD-RisC). (2023). Global variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c. <i>Nature Medicine</i>, <i>29</i>, 2885-2901. <a href="https://doi.org/10.1038/s41591-023-02610-2" target="_blank">https://doi.org/10.1038/s41591-023-02610-2</a>
dc.identifier.otherCONVID_194641303
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/92407
dc.description.abstractFasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) are both used to diagnose diabetes, but these measurements can identify different people as having diabetes. We used data from 117 population-based studies and quantified, in different world regions, the prevalence of diagnosed diabetes, and whether those who were previously undiagnosed and detected as having diabetes in survey screening, had elevated FPG, HbA1c or both. We developed prediction equations for estimating the probability that a person without previously diagnosed diabetes, and at a specific level of FPG, had elevated HbA1c, and vice versa. The age-standardized proportion of diabetes that was previously undiagnosed and detected in survey screening ranged from 30% in the high-income western region to 66% in south Asia. Among those with screen-detected diabetes with either test, the age-standardized proportion who had elevated levels of both FPG and HbA1c was 29–39% across regions; the remainder had discordant elevation of FPG or HbA1c. In most low- and middle-income regions, isolated elevated HbA1c was more common than isolated elevated FPG. In these regions, the use of FPG alone may delay diabetes diagnosis and underestimate diabetes prevalence. Our prediction equations help allocate finite resources for measuring HbA1c to reduce the global shortfall in diabetes diagnosis and surveillance.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.ispartofseriesNature Medicine
dc.rightsCC BY 4.0
dc.titleGlobal variation in diabetes diagnosis and prevalence based on fasting glucose and hemoglobin A1c
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202312198402
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineLiikuntalääketiedefi
dc.contributor.oppiaineSports and Exercise Medicineen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2885-2901
dc.relation.issn1078-8956
dc.relation.volume29
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2023
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysodiagnostiikka
dc.subject.ysodiabetes
dc.subject.ysohemoglobiini
dc.subject.ysoglukoosi
dc.subject.ysosairastavuus
dc.subject.ysodiagnoosi
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p416
jyx.subject.urihttp://www.yso.fi/onto/yso/p8304
jyx.subject.urihttp://www.yso.fi/onto/yso/p21415
jyx.subject.urihttp://www.yso.fi/onto/yso/p18742
jyx.subject.urihttp://www.yso.fi/onto/yso/p3556
jyx.subject.urihttp://www.yso.fi/onto/yso/p14134
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1038/s41591-023-02610-2
jyx.fundinginformationThis study was funded by the UK Medical Research Council (grant number MR/V034057/1 to M.E.), the UK Research and Innovation (Research England Policy Support Fund to M.E.) and the US Centers for Disease Control and Prevention (to E.W.G.). B. Zhou is supported by a fellowship from the Abdul Latif Jameel Institute for Disease and Emergency Analytics, funded by a donation from Community Jameel, at Imperial College London. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. For the purpose of open access, the author has applied a Creative Commons Attribution license to the Author Accepted Manuscript version arising from this submission.
dc.type.okmA1


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