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一种简短的关于恐音症症状和功能障碍的自我报告测量工具的心理测量学验证:杜克-范德比尔特恐音症筛查问卷。

Psychometric validation of a brief self-report measure of misophonia symptoms and functional impairment: The duke-vanderbilt misophonia screening questionnaire.

作者信息

Williams Zachary J, Cascio Carissa J, Woynaroski Tiffany G

机构信息

Medical Scientist Training Program, Vanderbilt University School of Medicine, Nashville, TN, United States.

Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.

出版信息

Front Psychol. 2022 Jul 22;13:897901. doi: 10.3389/fpsyg.2022.897901. eCollection 2022.

Abstract

Misophonia is a newly described disorder of sound tolerance characterized by strong negative emotional reactions to specific "trigger" sounds, resulting in significant distress, pathological avoidance, and impairment in daily life. Research on misophonia is still in its infancy, and most existing psychometric tools for assessing misophonia symptoms have not been extensively validated. The purpose of the current study was to introduce and psychometrically validate the duke-vanderbilt Misophonia Screening Questionnaire (DVMSQ), a novel self-report measure of misophonia symptoms that can be used to determine misophonia "caseness" in clinical and research settings. Employing large online samples of general population adults ( = 1403) and adults on the autism spectrum ( = 936), we rigorously evaluated the internal structure, reliability, validity, and measurement invariance of the DVMSQ. Results indicated that 17 of the 20 original DVMSQ items fit well to a bifactor structure with one "general misophonia" factor and four specific factors (anger/aggression, distress/avoidance, impairment, and global impact). DVMSQ total and subscale scores were highly reliable in both general population and autistic adult samples, and the measure was found to be approximately invariant across age, sex, education level, and autism status. DVMSQ total scores also correlated strongly with another measure of misophonia symptoms (Duke Misophonia Questionnaire-Symptom Scale), with correlations between these two measures being significantly stronger than correlations between the DVMSQ and scales measuring other types of sound intolerance (Inventory of Hyperacusis Symptoms [General Loudness subscale] and DSM-5 Severity Measure for Specific Phobia [modified for phonophobia]). Additionally, DVMSQ items were used to operationalize diagnostic criteria for misophonia derived from the Revised Amsterdam Criteria, which were further updated to reflect a recent consensus definition of misophonia (published after the development of the DVMSQ). Using the new DVMSQ algorithm, 7.3% of general population adults and 35.5% of autistic adults met criteria for clinically significant misophonia. Although additional work is needed to further investigate the psychometric properties of the DVMSQ and validate its theory-based screening algorithm using best-estimate clinical diagnoses, this novel measure represents a potentially useful tool to screen for misophonia and quantify symptom severity and impairment in both autistic adults and the general population.

摘要

恐音症是一种新描述的声音耐受性障碍,其特征是对特定的“触发”声音产生强烈的负面情绪反应,导致严重困扰、病态回避及日常生活受损。对恐音症的研究仍处于起步阶段,目前大多数用于评估恐音症症状的心理测量工具尚未得到广泛验证。本研究的目的是引入并从心理测量学角度验证杜克 - 范德比尔特恐音症筛查问卷(DVMSQ),这是一种用于测量恐音症症状的新型自评量表,可用于在临床和研究环境中确定恐音症“病例情况”。我们使用了大量普通成年人群体((n = 1403))和自闭症谱系成年人群体((n = 936))的在线样本,严格评估了DVMSQ的内部结构、信度、效度和测量不变性。结果表明,最初的20个DVMSQ项目中有17个很好地拟合了一个双因素结构,该结构包含一个“一般恐音症”因素和四个特定因素(愤怒/攻击、困扰/回避、功能受损和总体影响)。DVMSQ总分及分量表得分在普通人群和自闭症成年样本中都具有很高的信度,并且该量表在年龄、性别、教育水平和自闭症状态方面具有近似不变性。DVMSQ总分与另一种恐音症症状测量工具(杜克恐音症问卷 - 症状量表)也有很强的相关性,这两种测量工具之间的相关性明显强于DVMSQ与测量其他类型声音不耐受的量表(听觉过敏症状量表[一般响度分量表]和DSM - 5特定恐惧症严重程度测量量表[针对恐声症进行修改])之间的相关性。此外,DVMSQ项目被用于实施源自修订后的阿姆斯特丹标准的恐音症诊断标准,该标准已进一步更新以反映恐音症的最新共识定义(在DVMSQ编制之后发布)。使用新的DVMSQ算法,7.3%的普通成年人群体和35.5%的自闭症成年人群体符合临床显著恐音症的标准。尽管需要进一步开展工作来深入研究DVMSQ的心理测量特性,并使用最佳估计临床诊断来验证其基于理论的筛查算法,但这种新型测量工具代表了一种潜在有用的工具,可用于筛查恐音症,并量化自闭症成年人群体和普通人群中的症状严重程度及功能受损情况。

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本文引用的文献

1
An Automated Online Measure for Misophonia: The .
Assessment. 2024 Dec;31(8):1598-1614. doi: 10.1177/10731911241234104. Epub 2024 Feb 27.
2
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Behav Res Methods. 2024 Mar;56(3):1485-1505. doi: 10.3758/s13428-023-02106-4. Epub 2023 Jun 2.
3
Factor Retention Using Machine Learning With Ordinal Data.
Appl Psychol Meas. 2022 Jul;46(5):406-421. doi: 10.1177/01466216221089345. Epub 2022 May 4.
6
Consensus Definition of Misophonia: A Delphi Study.
Front Neurosci. 2022 Mar 17;16:841816. doi: 10.3389/fnins.2022.841816. eCollection 2022.
7
Psychiatric and audiologic features of misophonia: Use of a clinical control group with auditory over-responsivity.
J Psychosom Res. 2022 May;156:110777. doi: 10.1016/j.jpsychores.2022.110777. Epub 2022 Mar 3.
8
β-Blockers for the Treatment of Misophonia and Misokinesia.
Clin Neuropharmacol. 2022;45(1):13-14. doi: 10.1097/WNF.0000000000000492.
9
A multisample demonstration of using the prolific platform for repeated assessment and psychometric substance use research.
Exp Clin Psychopharmacol. 2022 Aug;30(4):432-443. doi: 10.1037/pha0000545. Epub 2022 Jan 13.
10
Development and Initial Validation of the Duke Misophonia Questionnaire.
Front Psychol. 2021 Sep 29;12:709928. doi: 10.3389/fpsyg.2021.709928. eCollection 2021.

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