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Examining social determinants of undiagnosed diabetes in Namibia and South Africa using a behavioral model of health services use.
Lee, Shinduk; Washburn, David J; Colwell, Brian; Gwarzo, Ibrahim H; Kellstedt, Debra; Ahenda, Petronella; Maddock, Jay E.
Afiliación
  • Lee S; Center for Population Health and Aging, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA. Electronic address: shinduklee@tamu.edu.
  • Washburn DJ; Department of Health Policy and Management, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.
  • Colwell B; Department of Health Promotion and Community Health Sciences, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.
  • Gwarzo IH; Department of Epidemiology & Biostatistics, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.
  • Kellstedt D; Department of Health Promotion, University of Nebraska Medical Center, 984365 Nebraska Medical Center, Omaha, NE 68198, USA.
  • Ahenda P; Department of Public Health Studies, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.
  • Maddock JE; Department of Environmental and Occupational Health, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.
Diabetes Res Clin Pract ; 175: 108814, 2021 May.
Article en En | MEDLINE | ID: mdl-33872630
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus / Determinantes Sociales de la Salud / Servicios de Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Female / Humans / Male País/Región como asunto: Africa Idioma: En Revista: Diabetes Res Clin Pract Asunto de la revista: ENDOCRINOLOGIA Año: 2021 Tipo del documento: Article Pais de publicación: Irlanda
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Diabetes Mellitus / Determinantes Sociales de la Salud / Servicios de Salud Tipo de estudio: Prognostic_studies / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Female / Humans / Male País/Región como asunto: Africa Idioma: En Revista: Diabetes Res Clin Pract Asunto de la revista: ENDOCRINOLOGIA Año: 2021 Tipo del documento: Article Pais de publicación: Irlanda