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对患有性功能障碍的老年夫妇性观念和性信息的评估。

Assessment of sexual beliefs and information in aging couples with sexual dysfunction.

作者信息

Adams S G, Dubbert P M, Chupurdia K M, Jones A, Lofland K R, Leermakers E

机构信息

Department of Veterans Affairs Medical Center, Jackson, Mississippi, USA.

出版信息

Arch Sex Behav. 1996 Jun;25(3):249-60. doi: 10.1007/BF02438164.

DOI:10.1007/BF02438164
PMID:8726550
Abstract

The incidence and prevalence of sexual dysfunction indicate that a large portion of the U.S. population will experience a sexual dysfunction, with older individuals being particularly at risk. Cognitive factors (e.g., attitudes, misinformation, beliefs) may contribute to the development of sexual dysfunction or influence response to treatments. The purpose of the current study was to evaluate the psychometric properties of a brief instrument designed to assess information and beliefs regarding sexual functioning in an aging population. Results indicate that the Sexual Beliefs and Information Questionnaire (SBIQ) had adequate test-retest reliability and is an internally consistent measure of sexual knowledge and beliefs. MOst individuals had adequate knowledge regarding sexual functioning as indicated by correct responses to most items; however, there were several items missed more often than expected. Exploratory factor analysis suggests an underlying five-factor structure of the SBIQ. Scores were not correlated with years of education, mood, or marital satisfaction. Scores on the SBIQ improved after a brief standardized educational intervention. The SBIQ is a simple and psychometrically sound measure of sexual knowledge and myths that can assist clinicians to identify and possibly rectify knowledge deficits.

摘要

性功能障碍的发病率和患病率表明,很大一部分美国人口会经历性功能障碍,老年人尤其面临风险。认知因素(如态度、错误信息、信念)可能导致性功能障碍的发生或影响对治疗的反应。本研究的目的是评估一种简短工具的心理测量特性,该工具旨在评估老年人群体中关于性功能的信息和信念。结果表明,性信念与信息问卷(SBIQ)具有足够的重测信度,是一种关于性知识和信念的内部一致性测量工具。大多数个体对大多数项目的正确回答表明他们对性功能有足够的了解;然而,有几个项目的答错率高于预期。探索性因素分析表明SBIQ存在潜在的五因素结构。得分与受教育年限、情绪或婚姻满意度无关。经过简短的标准化教育干预后,SBIQ的得分有所提高。SBIQ是一种简单且心理测量合理的性知识和误解测量工具,可帮助临床医生识别并可能纠正知识缺陷。

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