Prevalence and sociodemographic correlates of diabetes among adults in Namibia and South Africa.

Prevalence and sociodemographic correlates of diabetes among adults in Namibia and South Africa.
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DOI:
10.1016/j.jnma.2021.05.015
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发表时间:
2022-01
影响因子:
3.3
通讯作者:
Egede LE
Egede LE
中科院分区:
医学4区
文献类型:
--
作者:
Dawson AZ;Walker RJ;Campbell JA;Williams JS;Egede LE

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本研究的目的是了解纳米比亚和南非成年人糖尿病的患病率和社会人口学特征。分析了纳米比亚(2013年)和南非(2016年)的人口与健康调查数据。因变量糖尿病定义为纳米比亚的实验室血糖值≥ 126,南非的血红蛋白A1 c(HbA 1c)≥ 6.5%。Logistic回归用于确定每个国家糖尿病的独立相关因素。人口(年龄、性别、地理位置、儿童数量)、经济(财富指数、教育水平)和文化(宗教-纳米比亚、种族-南非)因素被分块添加到模型中。在纳米比亚,4.6%的人患有糖尿病,根据血糖,14.6%的人患有糖尿病,根据南非的HbA 1c。在纳米比亚,调整后,更高的财富与糖尿病独立相关(OR:1.67; 95%CI:1.11,2.50)。在南非,经过调整后,(OR:1.06; 95% CI:1.04,1.07),女性(OR:1.25; 95% CI:1.03,1.52),居住在农村地区(OR:1.54; 95% CI:1.20,1.96)和黑人(OR:2.27; 95% CI:1.17,4.42)或其他(OR:5.74; 95% CI:2.50,13.20)与白色相比,糖尿病的几率增加。根据可靠的实验室诊断指数,南非的糖尿病患病率很高,纳米比亚相对较低。撒哈拉以南非洲需要制定战略,应对糖尿病等非传染性疾病日益加重的负担。
The aims of this study were to understand the prevalence and sociodemographic characteristics associated with diabetes among adults in Namibia and South Africa. Data from the Demographic and Health Survey for Namibia (2013) and South Africa (2016) were analyzed. The dependent variable, diabetes, was defined using lab values for blood glucose≥ 126 for Namibia, and hemoglobin A1c (HbA1c) ≥ 6.5% for South Africa. Logistic regression was used to identify independent correlates of diabetes for each country. Demographic (age, sex, geographic location, number of children), economic (wealth index, education level), and cultural (religion – Namibia, ethnicity – South Africa) factors were added in blocks to the models. In Namibia, 4.6% had diabetes based on blood glucose, and 14.6% had diabetes based on HbA1c in South Africa. In Namibia, after adjustment, higher wealth was independently associated with diabetes (OR: 1.67; 95% CI: 1.11, 2.50). In South Africa, after adjustment, those who were older (OR: 1.06; 95% CI: 1.04, 1.07), female (OR: 1.25; 95% CI: 1.03, 1.52), lived in a rural area (OR: 1.54; 95% CI: 1.20, 1.96), and Black (OR: 2.27; 95% CI: 1.17, 4.42) or Other (OR: 5.74; 95% CI: 2.50, 13.20) compared to White, had increased odds of diabetes. Prevalence of diabetes is high in South Africa and relatively low in Namibia using reliable laboratory diagnostic indices. Strategies to address the rising burden of non-communicable diseases like diabetes are needed in sub-Saharan Africa.
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