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印度首次基于人群的队列研究中的 HIV 发病率。

HIV incidence from the first population-based cohort study in India.

出版信息

BMC Infect Dis. 2013 Jul 17;13:327. doi: 10.1186/1471-2334-13-327.

Abstract

BACKGROUND

Understanding about who acquires new HIV infection and the determinants of why some persons get infected and others do not is fundamental to controlling HIV in the population. We assess HIV incidence and its associations in the population of a high HIV burden district in Andhra Pradesh state in southern India by a population-based longitudinal cohort study.

METHODS

We re-surveyed a population-based cohort of 12,617 adults in Guntur district of Andhra Pradesh for which we had reported a baseline HIV prevalence of 1.72% (rural 1.64%, urban 1.89%) among the 15-49 years age group in 2004-2005. We conducted interviews to assess risk behaviour and performed HIV testing again in 2010-2011. We assessed the rate of new HIV infection and its associations using multiple logistic regression.

RESULTS

The participation rate in the follow-up was 74.9% and 63.9% of the baseline rural and urban samples, respectively. Over a mean follow-up of 5.63 years, the incidence of HIV was 1.26 per 1000 person-years (95% CI 0.83-1.69), after adjusting for slight compositional bias in the follow-up sample. The incidence per 1000 person-years was higher among rural men (1.68) than urban men (0.85), and among rural women (1.28) than urban women (0.54). The strongest association with incidence was a HIV positive spouse in the baseline for both men (odds ratio 266, 95% CI 62-1137) and women (odds ratio 28, 95% CI 9-88). Among men the other significant associations with HIV incidence were frequent use of condom for sex over the past 6 months, non-circumcision, more than one lifetime woman sex partner or ever visited sex worker, and transport-related occupation; for women the other significant associations were having had HIV testing other than antenatal check-up, previously married but currently not, and tobacco use.

CONCLUSION

These first population-based cohort incidence data from India suggest that rural areas of high HIV burden states would need more attention to prevent new HIV infections, and that spouses of HIV positive persons and some other risk groups need to be targeted more effectively by HIV prevention programmes.

摘要

背景

了解哪些人会感染新的 HIV 以及为什么有些人会感染而其他人不会感染,对于控制人群中的 HIV 至关重要。我们通过一项基于人群的纵向队列研究,评估了印度南部安得拉邦高 HIV 负担地区人群中的 HIV 发病率及其相关因素。

方法

我们重新调查了安得拉邦贡土尔区一个基于人群的 12617 名成年人队列,我们曾在 2004-2005 年报告过该队列中 15-49 岁年龄组的基线 HIV 流行率为 1.72%(农村 1.64%,城市 1.89%)。我们进行了访谈以评估风险行为,并在 2010-2011 年再次进行了 HIV 检测。我们使用多因素逻辑回归评估了新的 HIV 感染率及其相关因素。

结果

随访的参与率分别为农村和城市基线样本的 74.9%和 63.9%。在平均 5.63 年的随访期间,调整随访样本中的轻微构成偏差后,HIV 的发病率为每 1000 人年 1.26 例(95%CI 0.83-1.69)。农村男性(1.68)的发病率高于城市男性(0.85),农村女性(1.28)的发病率高于城市女性(0.54)。与发病率最强相关的因素是基线时 HIV 阳性配偶,男性(比值比 266,95%CI 62-1137)和女性(比值比 28,95%CI 9-88)。男性中与 HIV 发病率相关的其他显著因素包括过去 6 个月频繁使用安全套进行性行为、未行包皮环切术、有一个以上的性伴侣或曾接触性工作者、与交通相关的职业;女性中与 HIV 发病率相关的其他显著因素包括除产前检查外的 HIV 检测、以前已婚但目前未婚以及吸烟。

结论

这些来自印度的首次基于人群的队列发病率数据表明,高 HIV 负担州的农村地区需要更多关注,以预防新的 HIV 感染,HIV 预防计划需要更有效地针对 HIV 阳性者的配偶和其他一些高危人群。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cac/3722086/fb0789787829/1471-2334-13-327-1.jpg

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