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性风险行为量表(SRBS):在英国大学生样本中的开发与验证。

The Sexual Risk Behaviors Scale (SRBS): Development & Validation in a University Student Sample in the UK.

机构信息

Department of Psychology, 6122Nottingham Trent University, United Kingdom.

Center for Research in Neuropsychology and Cognitive and Behavioral Intervention (CINEICC), 37829Universidade de Coimbra, Coimbra, Portugal.

出版信息

Eval Health Prof. 2021 Jun;44(2):152-160. doi: 10.1177/01632787211003950. Epub 2021 Apr 15.

Abstract

University students are at risk of poor sexual health outcomes. The aim of this study was to develop and test the psychometric properties of the Sexual Risk Behaviors Scale (SRBS), a novel short tool for measuring engagement in sexual risk behaviors in university students. We developed a pool of six items based on a review of recent literature and tested its properties in 547 undergraduate students in the United Kingdom. We used Exploratory Factor Analysis and Confirmatory Factor Analysis to explore and determine the factor structure and dimensionality of the SRBS. We used Item Response Theory and specifically the Graded Response Model to investigate items' discrimination, information, and differential functioning, respectively, and logistic regression to test whether higher SRBS scores predicted a diagnosis of any sexually transmitted infections in the past 12 months. Results showed that a unidimensional, five-item model fitted the data well, showing satisfactory fit indices and reliability, with all items providing adequate discrimination and information, and no differential item functioning by gender nor by sexual orientation. SRBS total scores significantly predicted the odds of being diagnosed with sexually transmitted infections in the past 12 months. Implications for public health prevention and intervention are discussed.

摘要

大学生存在不良性健康结局的风险。本研究旨在开发和测试性风险行为量表(SRBS)的心理测量学特性,该量表是一种新颖的短工具,用于衡量大学生参与性风险行为的情况。我们基于对近期文献的回顾,开发了一个包含 6 个项目的题库,并在英国的 547 名本科生中对其进行了测试。我们使用探索性因子分析和验证性因子分析来探讨和确定 SRBS 的因子结构和维度。我们使用项目反应理论,特别是等级反应模型,分别研究项目的区分度、信息量和差异功能,并使用逻辑回归检验 SRBS 得分较高是否预示着过去 12 个月内有任何性传播感染的诊断。结果表明,一个单一维度的五项目模型很好地拟合了数据,具有令人满意的拟合指数和可靠性,所有项目都提供了足够的区分度和信息量,且不存在性别或性取向的差异项目功能。SRBS 总分显著预测了过去 12 个月内被诊断为性传播感染的几率。讨论了公共卫生预防和干预的意义。

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