Document Type
Article
Journal/Book Title/Conference
Journal of Psychiatric Research
Volume
184
Publisher
Elsevier Ltd
Publication Date
3-8-2025
Journal Article Version
Accepted Manuscript
First Page
1
Last Page
37
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Abstract
Misophonia is characterized by intense emotional and physiological reactions to everyday sounds such as chewing and tapping. While previous researchers have focused on defining and characterizing the disorder, limited attention has been given to the variability in symptom presentations across individuals. In this study, we sought to identify distinct subgroups of individuals with misophonia by applying a Gaussian finite mixture model to explore the heterogeneity of symptom profiles. Sixty treatment-seeking participants completed the Duke Misophonia Interview, which assessed the presence and severity of various behavioral, affective, and cognitive symptoms. Items from this measure served as model indicators. Two clusters were found: anticipatory and reactive. The anticipatory group reported heightened awareness of potential triggers, preemptive anticipatory distress, and increased avoidance behaviors, while the reactive group primarily displayed emotional and physiological responses during the occurrence of sounds. Notably, both groups reported similar frequencies of misophonic triggers, but the anticipatory group demonstrated greater internalizing symptoms, such as intrusive thoughts or rumination about misophonic sounds and social isolation. Our findings support the need for tailored interventions that address subgroup-specific symptom patterns. Future researchers should aim to include larger sample sizes and develop more comprehensive models to capture the full spectrum of misophonia symptoms, including externalizing behaviors.
Recommended Citation
Mercedes G. Woolley, Leila K. Capel, Emily M. Bowers, Karen Muñoz, Julie M. Petersen, Michael P. Twohig, Recognizing Individual Variability in Misophonia: Identifying Symptom-Based Subgroups with Gaussian Mixture Modeling, Journal of Psychiatric Research, 2025, ISSN 0022-3956, https://doi.org/10.1016/j.jpsychires.2025.02.054.