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智利成年人口的就业状况与艾滋病毒载量:倾向得分分析

Employment Status and HIV Viral Load in Chilean Adult Population: A Propensity Score Analysis.

作者信息

Leiva-Escobar Ignacio, Cortes Claudia P, Lamadrid Angelo

机构信息

Internal Medicine IX-Department of Clinical Pharmacology and Pharmacoepidemiology, Medical Faculty Heidelberg/Heidelberg University Hospital, Heidelberg University, Heidelberg, Germany.

Medicine Department, School of Medicine, Universidad de Chile, Santiago, Chile.

出版信息

AIDS Behav. 2025 Apr;29(4):1256-1265. doi: 10.1007/s10461-024-04600-y. Epub 2025 Jan 9.

DOI:10.1007/s10461-024-04600-y
PMID:39779625
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11985617/
Abstract

We set out to investigate the potential impact of unemployment on HIV viral load in individuals living with HIV at the biggest HIV-related healthcare centre in Chile. We analysed a cross-sectional dataset of 803 adults living with HIV on antiretroviral therapy. The main exposure was employment status. The outcome, detectable HIV viral load, was operationalised using a cut-off of HIV viral load at 20 copies/mL. We applied a propensity score method, the inverse probability of treatment weighting to control for measured confounders. We found that 219 (27.3%) of participants were unemployed. Being unemployed was associated with increased odds of being detectable (OR = 1.78, 95%CI = 1.18-2.71) compared to being employed. Additionally, we found that those unemployed and non-adherents have higher odds of being detectable (OR = 2.53, 95%CI = 1.18-5.41). Unemployment status may influence HIV viral load. However, further research is needed to determine and understand the social structure behind those relationships in the Chilean people living with HIV.

摘要

我们着手在智利最大的艾滋病相关医疗中心,调查失业对感染艾滋病毒个体的艾滋病毒载量的潜在影响。我们分析了803名接受抗逆转录病毒治疗的成年艾滋病毒感染者的横断面数据集。主要暴露因素是就业状况。结果指标“可检测到的艾滋病毒载量”,通过设定艾滋病毒载量阈值为每毫升20拷贝来实现。我们应用了倾向评分法,即逆概率处理加权法来控制可测量的混杂因素。我们发现,219名(27.3%)参与者处于失业状态。与就业者相比,失业与可检测到病毒载量的几率增加相关(比值比=1.78,95%置信区间=1.18 - 2.71)。此外,我们发现失业且不坚持治疗者可检测到病毒载量的几率更高(比值比=2.53,95%置信区间=1.18 - 5.41)。失业状况可能会影响艾滋病毒载量。然而,需要进一步的研究来确定并理解智利艾滋病毒感染者中这些关系背后的社会结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8f/11985617/ac08ee0314d2/10461_2024_4600_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8f/11985617/e61665211167/10461_2024_4600_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8f/11985617/ac08ee0314d2/10461_2024_4600_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8f/11985617/e61665211167/10461_2024_4600_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fc8f/11985617/ac08ee0314d2/10461_2024_4600_Fig2_HTML.jpg

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