在艾滋病毒负担严重的国家建立自我评估的艾滋病毒易感性及其相关因素的模型。

IF 0.9 4区 医学 Q4 HEALTH POLICY & SERVICES
A F Fagbamigbe, A M Lawal, E S Idemudia
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引用次数: 15

摘要

背景:在全球范围内,个人对艾滋病毒感染易感性的自我评估对于保持更安全的性行为和减少危险行为非常重要。然而,自我感知的艾滋病毒感染风险的决定因素没有很好地记录和不同。我们评估了尼日利亚对艾滋病毒感染的自我感知脆弱性水平,并确定了其风险因素。方法:我们探索了最近具有全国代表性的数据,其中自我报告的HIV感染脆弱性(“高”、“低”和“根本没有风险”)作为感兴趣的结果。对数据进行加权,并确定结果与危险因素之间的关联。我们采用简单有序logistic回归对结果变量与危险因素之间的关系进行建模,并在5%显著性水平下对多重有序logistic回归的显著变量进行控制。结果:对HIV传播有一定认识的占74%,近期有过性传播感染的占6%。认为自己“完全没有风险”的可能性为50%,认为自己“可能性很大”的可能性为1.6%。最近经历过性传播感染的人(5.6%)比没有经历过性传播感染的人(1.7%)自我认为感染艾滋病毒的风险更高,最近从事交易性行为和有多个性伴侣的人也更高。在自我认为易感染艾滋病毒的人群中,了解艾滋病毒传播的几率比不了解艾滋病毒传播的几率高19% (OR = 1.19, 95% CI: 1.12-1.27)。此外,最近有多个性伴侣的受访者有72% (OR = 1.72, 95% CI: 1.60-1.86)更有可能报告自己有高风险。年龄在14-19岁的年轻受访者认为自己易感染艾滋病毒的几率比年龄较大的受访者高41% (OR = 1.41, 95% CI: 1.29-1.55)。结论:年轻人群、有性传播感染史人群和多性行为人群易感染艾滋病毒。尽管在这项研究中发现高风险性行为水平高,对艾滋病毒传播和预防有良好的了解,但自我感知的艾滋病毒易感性总体较低。为了将本研究中发现的低认知转化为低感染艾滋病毒的机会,所有利益相关者都需要通过性教育开展降低风险的举措,以尽量减少危险的性行为,并确保艾滋病毒预防方法的可用性和可负担性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country.

Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country.

Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country.

Modelling self-assessed vulnerability to HIV and its associated factors in a HIV-burdened country.

Background: Globally, individuals' self-assessment of vulnerability to HIV infection is important to maintain safer sexual behaviour and reduce risky behaviours. However, determinants of self-perceived risk of HIV infection are not well documented and differ. We assessed the level of self-perceived vulnerability to HIV infection in Nigeria and also identified its risk factors.

Methods: We explored a recent nationally representative data with self-reported vulnerability ('high', 'low' and 'no risk at all') to HIV infection as the outcome of interest. Data were weighted and association between the outcomes and the risk factors determined. We used simple ordered logit regression to model relationship between the outcome variable and risk factors, and controlled for the significant variables in multiple ordered logistic regression at 5% significance level.

Results: About 74% had good knowledge of HIV transmission and 6% had experienced STI recently. The likelihood of assessing oneself as having 'no risk at all' was 50% and for 'high chances' was 1.6%. Self-perceived high risk of HIV was higher among those who recently experienced STI (5.6%) than those who did not (1.7%), and also higher among those who recently engaged in transactional sex and had multiple sexual partners. The odds of good knowledge of HIV transmission on high self-perceived vulnerability to HIV was 19% higher than poor knowledge (OR = 1.19, 95% CI: 1.12-1.27). Also, respondents who recently had multiple sexual partners were 72% (OR = 1.72, 95% CI: 1.60-1.86) more likely to report self as having high risk. Younger respondents aged 14-19 years had higher odds of 41% (OR = 1.41, 95% CI: 1.29-1.55) to perceive self as having high vulnerability to HIV than older respondents.

Conclusion: High vulnerability to HIV infection was reported among younger respondents, those with history of STIS and those who engage in multiple sexual relations. Despite high level of risky sexual behaviour and good knowledge of HIV transmission and prevention found in this study, self-perceived vulnerability to HIV generally is low. For the low perception found in this study to translate to low chance of HIV infection, there is need for all stakeholders to embark on risk reduction initiatives through sexual education that would minimise risky sexual practices and ensuring availability and affordability of HIV prevention methods.

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来源期刊
CiteScore
2.00
自引率
0.00%
发文量
3
审稿时长
40 weeks
期刊介绍: The journal publishes contributions in English and French from all fields of social aspects of HIV/AIDS (care, support, behaviour change, behavioural surveillance, counselling, impact, mitigation, stigma, discrimination, prevention, treatment, adherence, culture, faith-based approaches, evidence-based intervention, health communication, structural and environmental intervention, financing, policy, media, etc).
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