Suppr超能文献

南非农村地区基于人群的纵向研究中关于艾滋病毒发病率的社会经济决定因素:证据

The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa.

作者信息

Bärnighausen Till, Hosegood Victoria, Timaeus Ian M, Newell Marie-Louise

机构信息

Africa Centre for Health and Population Studies, University of KwaZulu-Natal, Mtubatuba, South Africa.

出版信息

AIDS. 2007 Nov;21 Suppl 7(Suppl 7):S29-38. doi: 10.1097/01.aids.0000300533.59483.95.

Abstract

BACKGROUND

Knowledge of the effect of socioeconomic status on HIV infection in Africa stems largely from cross-sectional studies. Cross-sectional studies suffer from two important limitations: two-way causality between socioeconomic status and HIV serostatus and simultaneous effects of socioeconomic status on HIV incidence and HIV-positive survival time. Both problems are avoided in longitudinal cohort studies.

METHODS

We used data from a longitudinal HIV surveillance and a linked demographic surveillance in a poor rural community in KwaZulu-Natal, South Africa, to investigate the effect of three measures of socioeconomic status on HIV incidence: educational attainment, household wealth categories (based on a ranking of households on an assets index scale) and per capita household expenditure. Our sample comprised of 3325 individuals who tested HIV-negative at baseline and either HIV-negative or -positive on a second test (on average 1.3 years later).

RESULTS

In multivariable survival analysis, one additional year of education reduced the hazard of acquiring HIV by 7% (P = 0.017) net of sex, age, wealth, household expenditure, rural vs. urban/periurban residence, migration status and partnership status. Holding other factors equal, members of households that fell into the middle 40% of relative wealth had a 72% higher hazard of HIV acquisition than members of the 40% poorest households (P = 0.012). Per capita household expenditure did not significantly affect HIV incidence (P = 0.669).

CONCLUSION

Although poverty reduction is important for obvious reasons, it may not be as effective as anticipated in reducing the spread of HIV in rural South Africa. In contrast, our results suggest that increasing educational attainment in the general population may lower HIV incidence.

摘要

背景

关于社会经济地位对非洲艾滋病毒感染影响的认识很大程度上源于横断面研究。横断面研究存在两个重要局限性:社会经济地位与艾滋病毒血清学状态之间的双向因果关系,以及社会经济地位对艾滋病毒发病率和艾滋病毒阳性存活时间的同时影响。纵向队列研究避免了这两个问题。

方法

我们使用了南非夸祖鲁 - 纳塔尔省一个贫困农村社区的纵向艾滋病毒监测数据以及相关的人口监测数据,以研究社会经济地位的三个衡量指标对艾滋病毒发病率的影响:教育程度、家庭财富类别(基于家庭在资产指数量表上的排名)和人均家庭支出。我们的样本包括3325名个体,他们在基线时艾滋病毒检测呈阴性,在第二次检测时(平均1.3年后)要么仍为艾滋病毒阴性,要么转为阳性。

结果

在多变量生存分析中,在考虑性别、年龄、财富、家庭支出、农村与城市/城郊居住状况、移民身份和伴侣关系等因素后,每多接受一年教育可使感染艾滋病毒的风险降低7%(P = 0.017)。在其他因素相同的情况下,相对财富处于中间40%的家庭的成员感染艾滋病毒的风险比最贫困的40%家庭的成员高72%(P = 0.012)。人均家庭支出对艾滋病毒发病率没有显著影响(P = 0.669)。

结论

虽然出于明显原因减贫很重要,但在减少南非农村地区艾滋病毒传播方面可能不如预期有效。相比之下,我们的结果表明,提高普通人群的教育程度可能会降低艾滋病毒发病率。

相似文献

1
The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa.
AIDS. 2007 Nov;21 Suppl 7(Suppl 7):S29-38. doi: 10.1097/01.aids.0000300533.59483.95.
4
6
Transmission networks and risk of HIV infection in KwaZulu-Natal, South Africa: a community-wide phylogenetic study.
Lancet HIV. 2017 Jan;4(1):e41-e50. doi: 10.1016/S2352-3018(16)30186-2. Epub 2016 Dec 1.
8
Seroprevalence of HIV infection in rural South Africa.
AIDS. 1992 Dec;6(12):1535-9. doi: 10.1097/00002030-199212000-00018.
10
Investigating risk factors for under-five mortality in an HIV hyper-endemic area of rural South Africa, from 2000-2014.
PLoS One. 2018 Nov 26;13(11):e0207294. doi: 10.1371/journal.pone.0207294. eCollection 2018.

引用本文的文献

3
Spatial distribution and determinants of HIV high burden in the Southern African sub-region.
PLoS One. 2024 Apr 26;19(4):e0301850. doi: 10.1371/journal.pone.0301850. eCollection 2024.
4
Spatial analysis of COVID-19 incidence and its determinants using spatial modeling: A study on India.
Environ Chall (Amst). 2021 Aug;4:100096. doi: 10.1016/j.envc.2021.100096. Epub 2021 Apr 10.
5
HIV epidemiologic trends among occupational groups in Rakai, Uganda: A population-based longitudinal study, 1999-2016.
PLOS Glob Public Health. 2024 Feb 20;4(2):e0002891. doi: 10.1371/journal.pgph.0002891. eCollection 2024.
6
Service delivery inaccessibility as a predictor of teenage pregnancy in South Africa.
Afr Health Sci. 2023 Sep;23(3):55-69. doi: 10.4314/ahs.v23i3.9.
7
Development and Evaluation of a Digital HIV Risk Assessment Tool Incorporated Within an App-Based Self-Testing Program.
J Acquir Immune Defic Syndr. 2023 Aug 15;93(5):387-394. doi: 10.1097/QAI.0000000000003210.
8
Socioeconomic factors impact the risk of HIV acquisition in the township population of South Africa: A Bayesian analysis.
PLOS Glob Public Health. 2023 Jan 26;3(1):e0001502. doi: 10.1371/journal.pgph.0001502. eCollection 2023.
9
Post-migration emotional well-being among Black South Africans.
SSM Ment Health. 2022 Dec;2. doi: 10.1016/j.ssmmh.2022.100173. Epub 2022 Nov 29.

本文引用的文献

3
Perpetration of partner violence and HIV risk behaviour among young men in the rural Eastern Cape, South Africa.
AIDS. 2006 Oct 24;20(16):2107-14. doi: 10.1097/01.aids.0000247582.00826.52.
5
Gender differences in the factors influencing consistent condom use among young people in Tanzania.
Int J Adolesc Med Health. 2006 Apr-Jun;18(2):287-98. doi: 10.1515/ijamh.2006.18.2.287.
7
Socioeconomic status in health research: one size does not fit all.
JAMA. 2005 Dec 14;294(22):2879-88. doi: 10.1001/jama.294.22.2879.
8
Is poverty or wealth at the root of HIV?
Lancet. 2005;366(9491):1057-8. doi: 10.1016/S0140-6736(05)67401-6.
10
Complementary factors contributing to the rapid spread of HIV-I in sub-Saharan Africa: a review.
East Afr Med J. 2005 Jan;82(1):40-6. doi: 10.4314/eamj.v82i1.9293.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验