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预测青年人性传播感染的青少年性行为模式:一种潜在类别分析方法。

Patterns of adolescent sexual behavior predicting young adult sexually transmitted infections: a latent class analysis approach.

作者信息

Vasilenko Sara A, Kugler Kari C, Butera Nicole M, Lanza Stephanie T

机构信息

The Methodology Center, 204 E. Calder Way, Suite 400 State College, State College, PA, 16801, USA,

出版信息

Arch Sex Behav. 2015 Apr;44(3):705-15. doi: 10.1007/s10508-014-0258-6. Epub 2014 Jan 22.

Abstract

Adolescent sexual behavior is multidimensional, yet most studies of the topic use variable-oriented methods that reduce behaviors to a single dimension. In this study, we used a person-oriented approach to model adolescent sexual behavior comprehensively, using data from the National Longitudinal Study of Adolescent Health. We identified five latent classes of adolescent sexual behavior: Abstinent (39%), Oral Sex (10%), Low-Risk (25%), Multi-Partner Normative (12%), and Multi-Partner Early (13%). Membership in riskier classes of sexual behavior was predicted by substance use and depressive symptoms. Class membership was also associated with young adult STI outcomes although these associations differed by gender. Male adolescents' STI rates increased with membership in classes with more risky behaviors whereas females' rates were consistent among all sexually active classes. These findings demonstrate the advantages of examining adolescent sexuality in a way that emphasizes its complexity.

摘要

青少年性行为具有多维度特点,但该主题的大多数研究采用以变量为导向的方法,将行为简化为单一维度。在本研究中,我们采用以人为本的方法,利用青少年健康全国纵向研究的数据,全面地对青少年性行为进行建模。我们确定了青少年性行为的五个潜在类别:禁欲型(39%)、口交型(10%)、低风险型(25%)、多性伴规范型(12%)和多性伴早期型(13%)。物质使用和抑郁症状可预测更高风险性行为类别的成员身份。类别成员身份也与青年期性传播感染结果相关,尽管这些关联因性别而异。男性青少年的性传播感染率随着行为风险更高类别的成员身份而增加,而女性在所有性活跃类别中的感染率则保持一致。这些发现证明了以强调其复杂性的方式研究青少年性行为的优势。

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