Hide metadata

dc.date.accessioned2020-05-08T18:54:52Z
dc.date.available2020-05-08T18:54:52Z
dc.date.created2019-12-19T12:10:00Z
dc.date.issued2019
dc.identifier.citationDo Vale Moreira, Nayla Cristina Montenegro, Renan Magalhaes Meyer, Haakon E Bhowmik, Bishwajit Mdala, Ibrahimu Siddiquee, Tasnima Fernandes, Virginia Oliveira Hussain, Akhtar . Glycated hemoglobin in the diagnosis of diabetes mellitus in a Semi-Urban Brazilian population. International Journal of Environmental Research and Public Health. 2019, 16(19)
dc.identifier.urihttp://hdl.handle.net/10852/75264
dc.description.abstractThe study evaluated glycated hemoglobin (HbA1c) as a diagnostic tool for diabetes and pre-diabetes in the Brazilian population. Further, the homeostasis model assessment of insulin resistance (HOMA-IR) was also examined against HbA1c values to identify the most suitable cut-off points for HOMA-IR to predict the risk of diabetes. A cross-sectional study was conducted among 714 randomly selected subjects. HbA1c, fasting, and 2 h plasma glucose values were measured. Insulin resistance estimates were calculated with HOMA-IR. The receiver operating characteristic curve assessed HbA1c performance. The adjusted prevalence rate of diabetes mellitus was 14.7%, and pre-diabetes 14.2%. The optimal HbA1c cut-off value was ≥6.8% for the diagnosis of diabetes, and ≥6.0% for pre-diabetes. The area under the curve using HbA1c was 0.85 (95% CI: 0.80–0.90) for detecting diabetes and 0.61 (95% CI: 0.55–0.67) for pre-diabetes. The optimal HOMA-IR cut-off value was 2.06 for HbA1c at 6.8%. The HbA1c cut-off value of ≥6.8% may be suitable for diagnosing diabetes in the Brazilian population. Our results do not support the use of HbA1c to diagnose pre-diabetes. A HOMA-IR cut-off point of 2.06 was a sensitive marker to assess the risk of diabetes.
dc.languageEN
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleGlycated hemoglobin in the diagnosis of diabetes mellitus in a Semi-Urban Brazilian population
dc.typeJournal article
dc.creator.authorDo Vale Moreira, Nayla Cristina
dc.creator.authorMontenegro, Renan Magalhaes
dc.creator.authorMeyer, Haakon E
dc.creator.authorBhowmik, Bishwajit
dc.creator.authorMdala, Ibrahimu
dc.creator.authorSiddiquee, Tasnima
dc.creator.authorFernandes, Virginia Oliveira
dc.creator.authorHussain, Akhtar
cristin.unitcode185,52,14,0
cristin.unitnameAvdeling for samfunnsmedisin og global helse
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1762928
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International Journal of Environmental Research and Public Health&rft.volume=16&rft.spage=&rft.date=2019
dc.identifier.jtitleInternational Journal of Environmental Research and Public Health
dc.identifier.volume16
dc.identifier.issue19
dc.identifier.doihttps://doi.org/10.3390/ijerph16193598
dc.identifier.urnURN:NBN:no-78379
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1660-4601
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/75264/2/do%2BVAle%2BMoreira%2Bet%2Bal.pdf
dc.type.versionPublishedVersion
cristin.articleid3598


Files in this item

Appears in the following Collection

Hide metadata

Attribution 4.0 International
This item's license is: Attribution 4.0 International