HIV PREVENTION AMONG HIGH RISK LATINO COUPLES

描述(改编自摘要)：在他们目前的项目中， 首席调查员和她的同事发现了无性行为 拉丁裔男性的态度特征可以预测他们倾向于 进行性行为，使他们面临感染艾滋病毒的风险。在这 继续研究调查员建议继续目前的研究 加州拉丁裔对避孕套决策的定性研究 拉丁裔夫妇地区概率抽样的挨家挨户调查 预计感染艾滋病毒的风险会增加。在01年， 项目中，研究人员将(1)提炼因素的结构模型 与伴侣预防艾滋病毒感染的个人意图有关，以及 行为结果与女性伴侣的程度有关 受保护，基于对之前拉丁裔男性研究的持续分析 数据库，来自当前拉丁裔研究的定性数据，以及 《生命系统的延伸》提供的一个理论框架 框架/激励系统理论；(2)开展平行访谈 协议以获得测量假设的数据所需的数据 在模型中构造并检验假定的因果关系；(3)前测 连续抽样调查16对、50对、20对夫妇；(4) 招聘和培训双语、双文化的现场面试人员。在……里面 02年，将收集面积概率样本为600的数据 加州拉丁裔夫妇，包括一名拉丁裔男子，年龄在18-40岁之间 被预测为感染艾滋病毒的高危人群，因此 结果可以概括为一大部分明确定义的 加利福尼亚州的拉丁裔人口。03年对这些数据的分析将使用 结构方程模型(SEM)估计和的参数 评估一组个人与个人之间关系的因果模型， 伴侣关系的心理、社会背景变量 夫妻特征、伴侣及夫妻性行为、伴侣 预防艾滋病毒感染的意图以及女性在多大程度上 合伙人是受保护的。这项研究的研究人员对一群人进行了研究 有证据表明，女性和女性的异性感染率有所上升 孩子们；他们希望为规划风险提供更坚实的基础 减少与拉丁裔男子、拉丁裔或夫妇的干预措施，并推动 夫妻性行为决定因素的理论理解 以及扫描电子显微镜技术在复杂电偶分析中的应用 数据。

DESCRIPTION (adapted from the Abstract): In their current project, the Principal Investigator and her coworkers identified non-sexual behavioral and attitudinal characteristics of Latino men that predict their tendency to engage in sexual behavior that puts them at risk for HIV infection. In this continuation study the Investigator proposes to continue the current qualitative study of condom decision-making by California Latinas with a door-to-door survey of an area probability sample of Latino couples predicted to be at elevated risk of HIV infection. In Year 01 of the project, the researchers will (1) refine a structural model of factors related to partners' individual intentions to prevent HIV infection and the behavioral outcome in terms of the degree to which the female partner is protected, based on continuing analysis of the previous Latino men's study database, the qualitative data from the current study of Latinas, and within a theoretical framework provided by an extension of the Living Systems Framework/ Motivational Systems Theory; (2) develop parallel interview protocols to obtain the data necessary to measure the hypothetical constructs in the model and test the presumed causal relations; (3) pretest the interview on successive samples of 16, 50, and 20 couples; and (4) recruit and train the bilingual, bicultural field interviewing staff. In Year 02, data will be gathered on an area probability sample of 600 California Latino couples that include a Latino man, 18-40 years old and predicted to be at high risk of sexual infection with HIV, such that the results are generalizable to a large and clearly defined segment of the Latino population in California. Analysis of these data in Year 03 will use Structural Equation Modeling (SEM) to estimate the parameters of and evaluate a set of causal models of the relationships between personal, psychological, and social context variables of the partners, relationship characteristics of the couples, partner and couple sexual behaviors, partner intentions to prevent HIV infection, and the degree to which the female partner is protected. The researchers in this study address a population showing evidence of increasing rates of heterosexual infection of women and children; they expect to provide a stronger basis for planning risk reduction interventions with Latino men, Latinas, or couples and to advance theoretical understanding of the determinants of couples' sexual practices and the application of SEM techniques to the analysis of complex couple data.