Examining social determinants of undiagnosed diabetes in Namibia and South Africa using a behavioral model of health services use.

Diabetes Res Clin Pract

Department of Environmental and Occupational Health, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.

Published: May 2021

AI Article Synopsis

  • The study aimed to explore factors linked to undiagnosed diabetes in adults aged 35-64 in Namibia and South Africa, using data from recent health surveys.
  • It utilized Andersen’s Behavioral Model to categorize factors into predisposing, enabling, and need factors, analyzing data separately for both countries through logistic regression.
  • Key findings indicated that rural living and younger age were significant risk factors for undiagnosed diabetes in Namibia, while lower socioeconomic status posed a risk in South Africa; interestingly, higher blood pressure was linked to lower odds of undiagnosed diabetes in both countries.

Article Abstract

Aims: To examine factors associated with undiagnosed diabetes in Namibia and South Africa.

Methods: This study used the most recent Demographic and Health Surveys (DHS) from Namibia (2013) and South Africa (2016). This study focused on adults at 35-64 years old. Using Andersen's Behavioral Model, potential contributing factors were categorized into predisposing factors (sex and education), enabling factors (wealth, health insurance, and residence), and a need factor (age, BMI, and high blood pressure). Separate multivariable logistic regression models were used to examine factors associated with undiagnosed diabetes in Namibia (N = 242) and South Africa (N = 525).

Results: In Namibia, higher odds of having undiagnosed diabetes were associated with rural residence (adjusted odds ratio (aOR) = 2.21) and age younger than 45 years old (aOR = 3.20). In South Africa, odds of having undiagnosed diabetes were higher among the poorest-to-poorer group than it was in the richer-to-richest group (aOR = 2.33). In both countries, having high blood pressure was associated with lower odds of having undiagnosed diabetes (aOR = 0.31 in Namibia; aOR = 0.21 in South Africa).

Discussion: Different enabling and need factors were associated with undiagnosed diabetes in these two countries, which implies potentially-different mechanisms driving the high prevalence of undiagnosed diabetes, as well as the needs for different solutions.

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Source
http://dx.doi.org/10.1016/j.diabres.2021.108814DOI Listing

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