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The Validation of the Female Sexual Function Index, Male Sexual Function Index, and Profile of Female Sexual Function for Use in Healthy Young Adults

机译:健康年轻人中女性性功能指数,男性性功能指数和女性性功能档案的验证

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Past research has typically used clinical samples to evaluate the validity of sexual function measures. As normal variations in sexually healthy individuals are of important research and clinical interest, evaluating the applicability of common sexual function measures to these populations is important. Factor structures of the Female Sexual Function Index (FSFI), Male Sexual Function Index (MSFI) (adapted for this investigation), and Profile of Female Sexual Function (PFSF) were examined in young, healthy men and women. We predicted the factor structures to be consistent with past evaluations. In a cross-sectional study, 1,258 participants (M age = 19.56 years; 59 % women) completed these measures. Confirmatory factor analyses did not initially support the factor structures. However, factor loadings showed marked differences between positively and negatively worded items. As such, each measure's factor structure was tested using multi-trait multi-method confirmatory factor analysis which accounted for variance due to item valence. These models supported the predicted structures of the FSFI and MSFI, whereas the PFSF's Responsiveness scale required modification, resulting in an Avoidance scale for both genders. This study was one of few to validate the FSFI in young, healthy adults and the first to examine the MSFI and PFSF in these populations. Additionally, this investigation was the first to propose a reconceptualization of the PFSF Responsiveness scale into an Avoidance scale. Lastly, our study highlights the significant impact of item valence on how individuals respond to questions regarding their sexual functioning.
机译:过去的研究通常使用临床样本来评估性功能测量的有效性。由于性健康个体的正常变异具有重要的研究意义和临床意义,因此评估常见性功能指标对这些人群的适用性非常重要。在年轻,健康的男性和女性中检查了女性性功能指数(FSFI),男性性功能指数(MSFI)(适用于此调查)和女性性功能概况(PFSF)的因素结构。我们预测因素结构与过去的评估相一致。在一项横断面研究中,有1,258名参与者(M年龄= 19.56岁; 59%的女性)完成了这些测量。验证性因素分析最初并不支持因素结构。但是,要素负载显示出正词和负词之间存在明显差异。因此,使用多特征多方法验证性因子分析测试了每个度量的因子结构,该分析考虑了因项目价而引起的差异。这些模型支持了FSFI和MSFI的预测结构,而PFSF的响应度量表则需要修改,从而产生了两种性别的回避量表。这项研究是少数在年轻健康的成年人中验证FSFI的研究之一,也是第一个在这些人群中检查MSFI和PFSF的研究。此外,这项研究是第一个提出将PFSF响应量表重新概念化为回避量表的研究。最后,我们的研究突出了项目价对个人如何回应有关其性功能问题的重大影响。

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