乌干达易受艾滋病毒感染的社会和结构脆弱性:2004-2005年和2011年艾滋病指标调查数据的多层次建模

P. Igulot, M. Magadi
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引用次数: 2

摘要

引言:撒哈拉以南非洲在艾滋病毒流行方面继续表现出不平等现象。截至2017年,约69.5%的艾滋病毒感染者、64%的新感染者和73%的艾滋病毒相关死亡者在SSA。在非洲大陆进行的大多数艾滋病毒研究都侧重于个人层面的因素。目标:这项研究确定了增加易感染艾滋病毒的社会和结构因素;并估计了社区一级因素在增加艾滋病毒感染脆弱性方面的影响。方法:对2004-2005年和2011年进行的乌干达艾滋病毒/艾滋病指标调查887个集群中获得的39766例艾滋病毒检测结果进行多水平二元逻辑回归。研究结果:在控制了个人层面的因素后,生活在富裕家庭比例更高的社区(平均比值比=1.07,CI[1.03-1.11]),有更多的前妻(AOR=1.21,CI[1.09-1.33]),在不安全性行为前饮酒的人比例更高(AOR=1.11,CI[1.05-1.18]),生活在一个有更高比例的人认为女性可以要求性伴侣使用避孕套的社区(AOR=1.08,CI[1.02-1.15])与艾滋病毒阳性显著相关。然而,生活在男性一夫多妻比例较高的社区中,感染艾滋病毒的风险降低(AOR=0.91,CI[0.85-0.98])。结论:社区因素影响乌干达感染艾滋病毒风险的脆弱性。预防艾滋病毒感染的直接努力需要侧重于社区对这些因素影响的认识,而长期努力需要解决这些做法的更广泛决定因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Social and structural vulnerability to HIV infection in Uganda: A multilevel modelling of AIDS indicators survey data, 2004-2005 and 2011
Introduction: Sub Saharan Africa (SSA) continues to exhibit inequalities in HIV epidemic. As of 2017, about 69.5% of people living with HIV, 64% of new infections and 73% HIV-related deaths were in SSA. Most HIV research conducted in the continent has focused on individual-level factors. Objectives: This research identifies social and structural factors that increase vulnerability to HIV; and estimates the effect of community-level factors in increasing vulnerability to HIV infection. Methods: Multilevel binary logistic regression is applied to 39,766 individual cases with HIV test results obtained in 887 clusters of Uganda HIV/AIDS Indicators Survey conducted in 2004-2005 and 2011. Findings: After controlling for individual-level factors, living in a community with a higher proportion of wealthy households (Average Odds Ratio=1.07, CI [1.03–1.11], with more former married individuals (AOR=1.21, CI [1.09–1.33]), with a higher proportion of people drunk with alcohol before unsafe sex (AOR=1.11, CI [1.05–1.18]), and living in a community where a higher proportion of people believe it is okay for a woman to ask her sexual partner to use a condom (AOR=1.08, CI [1.02–1.15]) was significantly associated with being HIV positive. However, living in a community where a higher proportion of men practiced polygamy was associated with reduced vulnerability to the risk of HIV infection (AOR=0.91, CI [0.85–0.98]). Conclusion: Community factors influence vulnerability to the risk of HIV infection in Uganda. Immediate efforts to prevent HIV infection need to focus on community awareness about the influence of these factors, and long-term efforts need to address the broader determinants of these practices.
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