Author
Listed:
- Nayla Cristina do Vale Moreira
(Institute of Health and Society, Department of Community Medicine and Global Health, University of Oslo (UiO), Oslo 0318, Norway
Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Fortaleza-Ceará 60020-181, Brazil)
- Renan M. Montenegro
(Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Fortaleza-Ceará 60020-181, Brazil)
- Haakon E. Meyer
(Institute of Health and Society, Department of Community Medicine and Global Health, University of Oslo (UiO), Oslo 0318, Norway)
- Bishwajit Bhowmik
(Institute of Health and Society, Department of Community Medicine and Global Health, University of Oslo (UiO), Oslo 0318, Norway
Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka 1000, Bangladesh)
- Ibrahimu Mdala
(Institute of Health and Society, Department of General Practice, University of Oslo (UiO), Oslo 0318, Norway)
- Tasnima Siddiquee
(Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka 1000, Bangladesh)
- Virgínia Oliveira Fernandes
(Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Fortaleza-Ceará 60020-181, Brazil)
- Akhtar Hussain
(Faculty of Medicine, Federal University of Ceará (FAMED-UFC), Fortaleza-Ceará 60020-181, Brazil
Centre for Global Health Research, Diabetic Association of Bangladesh, Dhaka 1000, Bangladesh
Faculty of Health Sciences, Nord University, Bodø 8049, Norway)
Abstract
The 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.
Suggested Citation
Nayla Cristina do Vale Moreira & Renan M. Montenegro & Haakon E. Meyer & Bishwajit Bhowmik & Ibrahimu Mdala & Tasnima Siddiquee & Virgínia Oliveira Fernandes & Akhtar Hussain, 2019.
"Glycated Hemoglobin in the Diagnosis of Diabetes Mellitus in a Semi-Urban Brazilian Population,"
IJERPH, MDPI, vol. 16(19), pages 1-15, September.
Handle:
RePEc:gam:jijerp:v:16:y:2019:i:19:p:3598-:d:270828
Download full text from publisher
Citations
Citations are extracted by the
CitEc Project, subscribe to its
RSS feed for this item.
Cited by:
- Wen Peng & Ke Li & Alice F. Yan & Zumin Shi & Junyi Zhang & Lawrence J. Cheskin & Ahktar Hussain & Youfa Wang, 2022.
"Prevalence, Management, and Associated Factors of Obesity, Hypertension, and Diabetes in Tibetan Population Compared with China Overall,"
IJERPH, MDPI, vol. 19(14), pages 1-15, July.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3598-:d:270828. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.