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Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa

BACKGROUND: Diabetes prevalence, as well as that of pre-diabetes, is rapidly increasing in South Africa. Individuals with pre-diabetes have a high risk of developing type 2 diabetes, which is reversible with a change in lifestyle. If left untreated, diabetes can lead to serious health complications....

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Autores principales: Grundlingh, Nina, Zewotir, Temesgen T., Roberts, Danielle J., Manda, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889060/
https://www.ncbi.nlm.nih.gov/pubmed/35236427
http://dx.doi.org/10.1186/s41043-022-00281-2
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author Grundlingh, Nina
Zewotir, Temesgen T.
Roberts, Danielle J.
Manda, Samuel
author_facet Grundlingh, Nina
Zewotir, Temesgen T.
Roberts, Danielle J.
Manda, Samuel
author_sort Grundlingh, Nina
collection PubMed
description BACKGROUND: Diabetes prevalence, as well as that of pre-diabetes, is rapidly increasing in South Africa. Individuals with pre-diabetes have a high risk of developing type 2 diabetes, which is reversible with a change in lifestyle. If left untreated, diabetes can lead to serious health complications. Our objective was to assess the prevalence of diabetes and pre-diabetes, and to investigate the associated risk factors of each in the South African population. METHOD: This study made use of the South African Demographic Health Survey 2016 data. The study participants included 6442 individuals aged 15 years and older. A generalized additive mixed model was employed to account for the complex survey design of the study as well as well spatial autocorrelation in the data. RESULTS: The observed prevalence of pre-diabetes and diabetes was 67% and 22%, respectively. Among those who had never been tested for diabetes prior to the survey, 10% of females and 6% of males were found to be diabetic, and 67% of both males and females were found to be pre-diabetic. Thus, a large proportion of the South African population remains undiagnosed. The model revealed both common and uncommon factors significantly associated with pre-diabetes and diabetes. This highlights the importance of considering diabetic status as a three-level categorical outcome, rather than binary. In addition, significant interactions between some of the lifestyle factors, demographic factors and anthropometric measures were revealed, which indicates that the effects each these factors have on the likelihood of an individual being pre-diabetic or diabetic is confounded by other factors. CONCLUSION: The risk factors for diabetes and pre-diabetes are many and complicated. Individuals need to be aware of their diabetic status before health complications arise. It is therefore important for all stakeholders in government and the private sector of South Africa to get involved in providing education and creating awareness about diabetes. Regular testing of diabetes, as well as leading a healthy lifestyle, should be encouraged.
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spelling pubmed-88890602022-03-02 Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa Grundlingh, Nina Zewotir, Temesgen T. Roberts, Danielle J. Manda, Samuel J Health Popul Nutr Research Article BACKGROUND: Diabetes prevalence, as well as that of pre-diabetes, is rapidly increasing in South Africa. Individuals with pre-diabetes have a high risk of developing type 2 diabetes, which is reversible with a change in lifestyle. If left untreated, diabetes can lead to serious health complications. Our objective was to assess the prevalence of diabetes and pre-diabetes, and to investigate the associated risk factors of each in the South African population. METHOD: This study made use of the South African Demographic Health Survey 2016 data. The study participants included 6442 individuals aged 15 years and older. A generalized additive mixed model was employed to account for the complex survey design of the study as well as well spatial autocorrelation in the data. RESULTS: The observed prevalence of pre-diabetes and diabetes was 67% and 22%, respectively. Among those who had never been tested for diabetes prior to the survey, 10% of females and 6% of males were found to be diabetic, and 67% of both males and females were found to be pre-diabetic. Thus, a large proportion of the South African population remains undiagnosed. The model revealed both common and uncommon factors significantly associated with pre-diabetes and diabetes. This highlights the importance of considering diabetic status as a three-level categorical outcome, rather than binary. In addition, significant interactions between some of the lifestyle factors, demographic factors and anthropometric measures were revealed, which indicates that the effects each these factors have on the likelihood of an individual being pre-diabetic or diabetic is confounded by other factors. CONCLUSION: The risk factors for diabetes and pre-diabetes are many and complicated. Individuals need to be aware of their diabetic status before health complications arise. It is therefore important for all stakeholders in government and the private sector of South Africa to get involved in providing education and creating awareness about diabetes. Regular testing of diabetes, as well as leading a healthy lifestyle, should be encouraged. BioMed Central 2022-03-02 /pmc/articles/PMC8889060/ /pubmed/35236427 http://dx.doi.org/10.1186/s41043-022-00281-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Grundlingh, Nina
Zewotir, Temesgen T.
Roberts, Danielle J.
Manda, Samuel
Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
title Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
title_full Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
title_fullStr Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
title_full_unstemmed Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
title_short Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa
title_sort assessment of prevalence and risk factors of diabetes and pre-diabetes in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8889060/
https://www.ncbi.nlm.nih.gov/pubmed/35236427
http://dx.doi.org/10.1186/s41043-022-00281-2
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