Evidence map›Paper›PMID 40824893›Full record

ArticlePloS one2025

Examining the role of emotion regulation, anger, and anxiety in misophonia: A network model.

Matthew R Hanna, Amanda C Collins, Yanyan Shan, Bill Chen, Siyuan Wang, M Zachary Rosenthal

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Matthew R HannaDepartment of Psychology & Neuroscience, Duke University, Durham, North Carolina, United States of America.ORCID https://orcid.org/0009-0001-0937-1946
Amanda C CollinsCenter for Technology and Behavioral Health, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire, United States of America.ORCID https://orcid.org/0000-0002-8258-2272
Yanyan ShanDepartment of Psychology & Neuroscience, Duke University, Durham, North Carolina, United States of America.
Bill ChenDepartment of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.
Siyuan WangDepartment of Psychology & Neuroscience, Duke University, Durham, North Carolina, United States of America.
M Zachary RosenthalDepartment of Psychology & Neuroscience, Duke University, Durham, North Carolina, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMisophonia, characterized by intense negative reactions to specific sounds, is associated with significant emotional distress. The connections among misophonia severity and factors like emotion regulation, anxiety, and anger remain unclear. This study uses network analysis to clarify these relationships in adults with self-reported misophonia symptoms, identifying key intervention targets and processes driving symptom severity.

methodsA community sample of adults with misophonia symptoms and impairment (N = 205) completed psychometrically validated self-report measures, including the Duke Misophonia Questionnaire (DMQ), Misophonia Questionnaire (MQ), and assessments of emotion regulation, anxiety, and anger. Network analysis was conducted to identify associations among misophonia severity, anxiety, anger, and emotion regulation components. Centrality indices were used to evaluate the most influential factors in the network, and community detection was employed to explore underlying clusters.

resultsMisophonia severity was most strongly associated with emotional awareness, nonacceptance, anxiety, and anger. The network analysis revealed that nodes representing emotion regulation strategies, nonacceptance, and impulsivity had the highest centrality and expected influence values, indicating their significant role in the overall network. Community detection identified two distinct clusters: one reflecting emotion dysregulation and misophonia, and the other related to emotional clarity and awareness.

conclusionsThis study highlights the importance of nonacceptance, emotional awareness, anger, and anxiety in understanding misophonia severity. Interventions targeting anger, anxiety, and nonacceptance may be most effective in managing misophonia symptoms. Future research should explore these relationships longitudinally to better inform treatment approaches.

Indexed as

AngerAnxietyEmotional RegulationAdolescentAdultAgedFemaleHearing DisordersHumansMaleMiddle AgedSelf ReportSurveys and QuestionnairesYoung Adult

Identifiers

PMID40824893
PMCPMC12360532

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.