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利用健康服务利用行为模型考察纳米比亚和南非未确诊糖尿病的社会决定因素。

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

机构信息

Center for Population Health and Aging, Texas A&M University, 212 Adriance Lab Road, College Station, TX 77843, USA.

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

出版信息

Diabetes Res Clin Pract. 2021 May;175:108814. doi: 10.1016/j.diabres.2021.108814. Epub 2021 Apr 16.

DOI:10.1016/j.diabres.2021.108814
PMID:33872630
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.

摘要

目的

探讨纳米比亚和南非未确诊糖尿病的相关因素。

方法

本研究使用了纳米比亚(2013 年)和南非(2016 年)最近的人口与健康调查(DHS)数据。本研究关注 35-64 岁的成年人。采用安德生行为模式,将潜在的影响因素分为易患因素(性别和教育)、促成因素(财富、医疗保险和居住地)以及需求因素(年龄、BMI 和高血压)。分别采用多变量逻辑回归模型,研究纳米比亚(N=242)和南非(N=525)未确诊糖尿病的相关因素。

结果

在纳米比亚,农村居住(调整后的优势比(aOR)=2.21)和年龄小于 45 岁(aOR=3.20)与未确诊糖尿病的发生几率较高有关。在南非,最贫困到较贫困组比最富裕到较富裕组发生未确诊糖尿病的几率更高(aOR=2.33)。在这两个国家,高血压与未确诊糖尿病的几率较低有关(纳米比亚的 aOR=0.31;南非的 aOR=0.21)。

讨论

这两个国家的不同促成因素和需求因素与未确诊糖尿病有关,这意味着可能存在不同的机制导致未确诊糖尿病的高患病率,以及需要不同的解决方案。

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