Attitudinal and behavioral characteristics predict high risk sexual activity in rural Tanzanian youth.
Attitudinal and behavioral characteristics predict high risk sexual activity in rural Tanzanian youth.
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DOI：
10.1371/journal.pone.0099987
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发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Grimm K
中科院分区：
文献类型：
--
作者：
Aichele SR;Borgerhoff Mulder M;James S;Grimm K
非洲农村青年的艾滋病毒感染率仍然很高，尽管该地区对这种疾病有广泛的了解，并增加了用于预防和治疗艾滋病方案的资金。这表明，项目的有效性需要对最危险个体的概况有更细致的了解。为了评估与高危性行为相关的新型心理变量的解释能力，我们进行了一项调查，以评估心理因素的影响，包括行为和态度，控制标准预测因子，在坦桑尼亚北部8个村庄的546名青少年（12-26岁）。高危性行为的指标包括艾滋病毒检测、性史（即处女/非处女）、第一次性行为年龄、避孕套使用情况和终生性伴侣数量。统计模型中的预测因素包括标准的人口变量、媒体消费模式、艾滋病意识，以及通过因素分析确定的六个新的心理特征：个人虚荣心、家庭建设价值观、对高等教育的雄心、城镇娱乐、感知到的父母严格程度和消费偏好。在一系列的层次回归分析中，我们发现，与仅包含人口统计和其他传统预测因子的模型相比，包含心理因素的模型提供了显著的额外解释信息。我们建议，这里使用的心理学方法，只要它能识别个人特征、愿望、个人生活方式和消费偏好的各个方面，就可以用来针对村庄内适当的青年社区，以领导和接受外展活动，并建立志同道合的青年社区，支持新的性行为模式。
The incidence of HIV infection in rural African youth remains high despite widespread knowledge of the disease within the region and increasing funds allocated to programs aimed at its prevention and treatment. This suggests that program efficacy requires a more nuanced understanding of the profiles of the most at-risk individuals. To evaluate the explanatory power of novel psychographic variables in relation to high-risk sexual behaviors, we conducted a survey to assess the effects of psychographic factors, both behavioral and attitudinal, controlling for standard predictors in 546 youth (12–26 years of age) across 8 villages in northern Tanzania. Indicators of high-risk sexual behavior included HIV testing, sexual history (i.e., virgin/non-virgin), age of first sexual activity, condom use, and number of lifetime sexual partners. Predictors in the statistical models included standard demographic variables, patterns of media consumption, HIV awareness, and six new psychographic features identified via factor analyses: personal vanity, family-building values, ambition for higher education, town recreation, perceived parental strictness, and spending preferences. In a series of hierarchical regression analyses, we find that models including psychographic factors contribute significant additional explanatory information when compared to models including only demographic and other conventional predictors. We propose that the psychographic approach used here, in so far as it identifies individual characteristics, aspirations, aspects of personal life style and spending preferences, can be used to target appropriate communities of youth within villages for leading and receiving outreach, and to build communities of like-minded youth who support new patterns of sexual behavior.
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