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南非开普敦周边弱势社区中的年龄差距、性联系与 HIV 感染:一项研究方案。

Age-disparity, sexual connectedness and HIV infection in disadvantaged communities around Cape Town, South Africa: a study protocol.

机构信息

South African Centre for Epidemiological Modelling & Analysis, Stellenbosch University, 19 Jonkershoek Road, Stellenbosch 7600, South Africa.

出版信息

BMC Public Health. 2011 Aug 2;11:616. doi: 10.1186/1471-2458-11-616.

Abstract

BACKGROUND

Crucial connections between sexual network structure and the distribution of HIV remain inadequately understood, especially in regard to the role of concurrency and age disparity in relationships, and how these network characteristics correlate with each other and other risk factors. Social desirability bias and inaccurate recall are obstacles to obtaining valid, detailed information about sexual behaviour and relationship histories. Therefore, this study aims to use novel research methods in order to determine whether HIV status is associated with age-disparity and sexual connectedness as well as establish the primary behavioural and socio-demographic predictors of the egocentric and community sexual network structures.

METHOD/DESIGN: We will conduct a cross-sectional survey that uses a questionnaire exploring one-year sexual histories, with a focus on timing and age disparity of relationships, as well as other risk factors such as unprotected intercourse and the use of alcohol and recreational drugs. The questionnaire will be administered in a safe and confidential mobile interview space, using audio computer-assisted self-interview (ACASI) technology on touch screen computers. The ACASI features a choice of languages and visual feedback of temporal information. The survey will be administered in three peri-urban disadvantaged communities in the greater Cape Town area with a high burden of HIV. The study communities participated in a previous TB/HIV study, from which HIV test results will be anonymously linked to the survey dataset. Statistical analyses of the data will include descriptive statistics, linear mixed-effects models for the inter- and intra-subject variability in the age difference between sexual partners, survival analysis for correlated event times to model concurrency patterns, and logistic regression for association of HIV status with age disparity and sexual connectedness.

DISCUSSION

This study design is intended to facilitate more accurate recall of sensitive sexual history data and has the potential to provide substantial insights into the relationship between key sexual network attributes and additional risk factors for HIV infection. This will help to inform the design of context-specific HIV prevention programmes.

摘要

背景

性网络结构与 HIV 分布之间的关键联系仍未得到充分理解,特别是在关系中的同时存在和年龄差异的作用、以及这些网络特征如何相互关联以及与其他风险因素相关联方面。社会期望偏差和不准确的回忆是获取有关性行为和关系史的有效、详细信息的障碍。因此,本研究旨在使用新的研究方法,确定 HIV 状况是否与年龄差异和性联系相关,以及确定以自我为中心和社区性网络结构的主要行为和社会人口统计学预测因素。

方法/设计:我们将进行一项横断面调查,使用问卷探讨一年的性行为史,重点关注关系的时间和年龄差异,以及其他风险因素,如无保护性行为、使用酒精和娱乐性药物。问卷将在安全和保密的移动访谈空间中使用带有语言选择和时间信息视觉反馈的音频计算机辅助自我访谈 (ACASI) 技术进行管理。该 ACASI 具有多种语言选择和时间信息的视觉反馈。调查将在开普敦大都市区内三个处于劣势的城市社区进行,这些社区 HIV 负担沉重。这些研究社区参加了之前的结核病/艾滋病研究,其中艾滋病病毒检测结果将匿名链接到调查数据集。数据的统计分析将包括描述性统计、线性混合效应模型,用于在性伴侣之间的年龄差异上进行个体内和个体间的变异性分析、生存分析用于分析并发模式的相关事件时间、以及逻辑回归用于关联 HIV 状况与年龄差异和性联系。

讨论

这种研究设计旨在促进更准确地回忆敏感的性行为数据,并有潜力为关键性行为网络属性与 HIV 感染的其他风险因素之间的关系提供重要见解。这将有助于为特定背景的 HIV 预防计划提供信息。

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