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Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa.
Grundlingh, Nina; Zewotir, Temesgen T; Roberts, Danielle J; Manda, Samuel.
Afiliação
  • Grundlingh N; School of Mathematics, Computer Science and Statistics, University of KwaZulu-Natal, University Road, Westville, Private Bag X54001, Durban, 4000, South Africa. ninagrund@outlook.com.
  • Zewotir TT; School of Data Science and Analytics, Kennesaw State University, Kennesaw, Georgia, 30144, USA. ninagrund@outlook.com.
  • Roberts DJ; School of Mathematics, Computer Science and Statistics, University of KwaZulu-Natal, University Road, Westville, Private Bag X54001, Durban, 4000, South Africa.
  • Manda S; School of Mathematics, Computer Science and Statistics, University of KwaZulu-Natal, University Road, Westville, Private Bag X54001, Durban, 4000, South Africa.
J Health Popul Nutr ; 41(1): 7, 2022 03 02.
Article em En | MEDLINE | ID: mdl-35236427
ABSTRACT

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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Africa Idioma: En Revista: J Health Popul Nutr Assunto da revista: CIENCIAS DA NUTRICAO / GASTROENTEROLOGIA / SAUDE PUBLICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: África do Sul

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Estado Pré-Diabético / Diabetes Mellitus Tipo 2 Tipo de estudo: Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male País/Região como assunto: Africa Idioma: En Revista: J Health Popul Nutr Assunto da revista: CIENCIAS DA NUTRICAO / GASTROENTEROLOGIA / SAUDE PUBLICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: África do Sul