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个体艾滋病风险认知的决定因素:知识、行为控制和社会影响。

Determinants of individual AIDS risk perception: knowledge, behavioural control and social influence.

作者信息

Bernardi Laura

机构信息

a Max Planck Institute for Demographic Research , Doberaner Strasse 114 , 18057 , Rostock , Germany.

出版信息

Afr J AIDS Res. 2002;1(2):111-24. doi: 10.2989/16085906.2002.9626551.

Abstract

In sub-Saharan Africa an almost universal awareness of the serious consequences of AIDS and of the sexual transmission of HIV co-exists together with a reluctance in adopting consequent preventive measures, in the form of protected sexual intercourse. The socio-psychological literature on health-related behaviour emphasises the perception of being at risk of HIV infection as being one of the necessary conditions for preventive behaviour to be adopted. Analysing data from the Kenya Diffusion and Ideational Change (KDIC) Project, this paper investigates the determinants of the reported degree of risk perception of getting infected by HIV. In particular, adopting a social interaction approach, we argue that individual risk perception is shaped by social network influences. We use information on ego-centred networks in which individuals are involved in conversations about the risk of getting infected by HIV. We are able to show that the importance of AIDS related knowledge and behavioural factors risks to be mis-estimated if one neglects the role of individuals' reciprocal influences. We conclude that risk perception is as much a product of individual characteristics and behaviour as it is a collective feeling shared among interacting individuals. Results suggest that in our study men are more susceptible than women to network influence.

摘要

在撒哈拉以南非洲地区,人们几乎普遍知晓艾滋病的严重后果以及艾滋病毒的性传播途径,但同时却不愿采取诸如安全性行为等相应的预防措施。关于健康相关行为的社会心理学文献强调,认为自己有感染艾滋病毒的风险是采取预防行为的必要条件之一。本文通过分析肯尼亚传播与观念转变(KDIC)项目的数据,研究了报告的感染艾滋病毒风险感知程度的决定因素。具体而言,采用社会互动方法,我们认为个体的风险感知是由社会网络影响塑造的。我们使用了关于以自我为中心的网络的信息,在这些网络中,个体参与了关于感染艾滋病毒风险的对话。我们能够表明,如果忽视个体相互影响的作用,与艾滋病相关的知识和行为因素的重要性可能会被错误估计。我们得出结论,风险感知既是个体特征和行为的产物,也是互动个体之间共享的集体感受。结果表明,在我们的研究中,男性比女性更容易受到网络影响。

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