Profile Analysis of Psychological Symptoms Associated With Misophonia: A Community Sample☆
Section snippets
Participants
Participants were recruited from Amazon’s Mechanical Turk (MTurk). MTurk is an online labor market in which workers can browse Human Intelligence Tasks (HITs) by keyword, compensation, availability, and qualifications. Workers are paid in exchange for their task completion (Shapiro, Chandler, & Mueller, 2013). In the current study, participants were eligible to participate if they were English speaking and between the ages of 18 and 75. Participants received $2.50 in exchange for their
Results
Table 1 displays the descriptive data for the sample, including means and standard deviations for the scales used in the study. Analysis of the measures included in the profile analysis (subscales of the OCI-R, Harm Avoidance [HA], Incompleteness [INC], and the physical subscale of the ASI-R) suggest a single profile best describes the data, and accounts for 58% of the pattern variance. There were two additional resultant profiles that accounted for 12% and 11% of the variance, respectively. In
Discussion
There has been growing recognition that misophonia represents a potentially severe clinical problem. To date there has been limited research into the basic pathology and clinical correlates of the condition. Given that sufferers report severe aversive emotional reactions to specific sounds or classes of sounds, the limited research has focused on psychopathological indicators of the condition.
This study identified a putative profile that distinguishes those with and without self-reported
Conflict of Interest Statement
The authors declare that there are no conflicts of interest.
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2021, Journal of Psychiatric ResearchCitation Excerpt :After agreeing to participate, interested voluunteers were directed to a Qualtrics-based series of questionnaires (see below), where informed consent was given. The AMT is an American online crowdsourcing platform in which workers can browse Human Intelligence Tasks by keyword, compensation, availability, and qualifications (McKay et al., 2018). Shapiro et al. (2013) demonstrated that the prevalence of mental health problems identified in AMT studies were similar or higher than in the general population.
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This research was supported by a grant from the Sensation and Emotion Network Foundation awarded to the first author.