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January 8, 2013American Journal of Hypertension50 citationsOpen Access

Geographic Variation of Hypertension in Sub-Saharan Africa: A Case Study of South Africa

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NKN-B KandalaWTWilliam TigbeSMSamuel Manda

Key Result

The overall prevalence of hypertension in South Africa was 30.4%, with striking geographic variation across provinces, peaking in the North West (OR 1.33; 95% CR 1.14-1.61).

Study Design

Type

Cross-Sectional (n=13,596)

Multicenter

Yes

Structured PICO

P
Population
13,596 men and women aged 15 years and older from the South African Demographic and Health Survey assessed for hypertension prevalence.
O
Outcome
Prevalence of hypertension (blood pressure ≥140/90 mmHg or self-reported diagnosis or on medication)

Hypertension prevalence in South Africa shows significant geographic variation at the province level, independent of individual-level risk factors.

Abstract

BACKGROUND: Hypertension is of public health importance in sub-Saharan Africa, with considerable underdiagnosis, poor management, and lack of community-wide preventive strategies. We examined the geographic variation of hypertension at the province level in South Africa, while accounting for individual-level risk factors such as sociodemographics, lifestyle, and cardiovascular comorbidities. METHODS: Our analysis was based on the South African Demographic and Health Survey, including 13,596 men and women aged 15 years and over. Individual data were collected on lifestyle habits and cardiovascular comorbidities, but were aggregated to the nine country's provinces. We used a Bayesian geo-additive mixed model to map the geographic distribution of hypertension at the province level, accounting for individual risk factors. RESULTS: The overall prevalence of hypertension (blood pressure ≥140/90 mmHg or self-reported diagnosis or on medication) was 30.4%. In multivariate Bayesian geo-additive models, current smokers (odds ratio OR and 95% credible region CR: 1.14 1.03, 1.26), current drinkers (1.17 1.05, 1.29), people reporting sleep problems (1.16 1.02, 1.31), and participants with prevalent cardiovascular comorbidities, such as type 2 diabetes (2.49 1.92, 3.13), were significantly associated with a higher prevalence of hypertension. There was a striking variation in hypertension prevalence across provinces, the highest being in North West (1.33 1.14, 1.61), Free State (1.32 1.08, 1.68) and Northern Cape (1.30 1.02, 1.55), the lowest in Limpopo (0.68 0.56, 0.84). CONCLUSIONS: This study showed distinct geographic patterns in hypertension prevalence in South Africa, suggesting the potential role of socioeconomic, nutritional, and environmental factors at the province level, beyond individual-level risk factors in this setting.

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Cite This Study

Kandala et al. (2013) conducted a cross-sectional in Hypertension (n=13,596). Geographic location (province) vs. Other provinces was evaluated on Prevalence of hypertension (blood pressure ≥140/90 mmHg or self-reported diagnosis or on medication). The overall prevalence of hypertension in South Africa was 30.4%, with striking geographic variation across provinces, peaking in the North West (OR 1.33; 95% CR 1.14-1.61).

synapsesocial.com/papers/6a734124c757bd4228c4005fhttps://doi.org/10.1093/ajh/hps063
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