Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, SC, USA 29425.
Section of Infectious Disease, Department of Medicine, Louisiana State University Health Sciences Center, 1542 Tulane Avenue, Suite 331, New Orleans, LA 70112.
Afr Health Sci. 2020 Sep;20(3):1196-1205. doi: 10.4314/ahs.v20i3.23.
Gender inequality is a pervasive problem in sub-Saharan Africa, and has negative effects on health and development.
Here, we sought to identify socioeconomic predictors of gender inequality (measured by low decision-making power and high acceptance of intimate partner violence) within heterosexual couples expecting a child in south-central Uganda.
We used data from a two-arm cluster randomized controlled HIV self-testing intervention trial conducted in three antenatal clinics in south-central Uganda among 1,618 enrolled women and 1,198 male partners. Analysis included Cochran Mantel-Haenzel, proportional odds models, logistic regression, and generalized linear mixed model framework to account for site-level clustering.
Overall, we found that 31.1% of men had high acceptance of IPV, and 15.9% of women had low decision-making power. We found religion, education, HIV status, age, and marital status to significantly predict gender equality. Specifically, we observed lower gender equality among Catholics, those with lower education, those who were married, HIV positive women, and older women.
By better understanding the prevalence and predictors of gender inequality, this knowledge will allow us to better target interventions (increasing education, reducing HIV prevalence in women, targeting interventions different religions and married couples) to decrease inequalities and improve health care delivery to underserved populations in Uganda.
性别不平等是撒哈拉以南非洲普遍存在的问题,对健康和发展有负面影响。
本研究旨在确定乌干达中南部期待生育的异性恋夫妇中性别不平等(通过低决策权和高接受亲密伴侣暴力来衡量)的社会经济预测因素。
我们使用了在乌干达中南部三个产前诊所进行的两臂集群随机对照 HIV 自我检测干预试验的数据,该试验纳入了 1618 名女性和 1198 名男性伴侣。分析包括 Cochran Mantel-Haenzel、比例优势模型、逻辑回归和广义线性混合模型框架,以考虑到现场水平的聚类。
总体而言,我们发现 31.1%的男性高度接受 IPV,15.9%的女性决策权较低。我们发现宗教、教育、HIV 状况、年龄和婚姻状况显著预测性别平等。具体来说,我们观察到天主教徒、教育程度较低、已婚、HIV 阳性女性和年龄较大的女性中性别平等程度较低。
通过更好地了解性别不平等的流行程度和预测因素,我们可以更好地针对干预措施(增加教育、降低妇女中的 HIV 流行率、针对不同宗教和已婚夫妇的干预措施),以减少不平等现象并改善乌干达服务不足人群的医疗保健服务。