Methodological Innovations· 2026Q1
Modeling psychological processes in tinnitus disorder: Comparison of quantitative methods
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- 2026year
Short summary
Dynamic structural equation modeling (DSEM) and group iterative multiple model estimation (GIMME) revealed that psychological factors related to tinnitus distress (anxiety, worry, cognitive symptoms) primarily influence each other contemporaneously or over short time lags, with limited evidence for group-level prospective effects.
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Key points
- Most relationships between tinnitus distress and psychological factors (anxiety, worry, cognitive symptoms) occur contemporaneously or with short time lags.
- Dynamic structural equation modeling (DSEM) replicated previous findings and suggested significant overall prospective cross-construct effects.
- Group iterative multiple model estimation (GIMME) indicated that prospective paths were limited to individuals, not groups or subgroups.
- The study utilized survey data from 125 adults experiencing tinnitus distress.
AI-generated from the title and abstract; the full text is not read.
Abstract
Tinnitus is a common experience, and a minority of people experience severe distress related to their tinnitus. Studies of the contribution of psychological factors are often small and replications are rare. Here we examined adults ( N = 125) with tinnitus distress who responded to an average of 96 surveys regarding tinnitus distress, anxiety and worry, and cognitive symptoms. We replicated previous findings using dynamic structural equation modeling (DSEM). In addition, we examined an alternative method, the group iterative multiple model estimation (GIMME) procedure. Findings across methods suggested that most relationships between tinnitus distress and the psychological factors assessed in this study occurred contemporaneously or across a shorter time lag than that used here. Whereas DSEM found significant prospective cross-construct effects overall, GIMME suggested such paths were limited to individuals rather than groups or subgroups. Future work should examine how such modeling can inform prediction of outcomes (e.g., treatment effects).
The authors' abstract, as published at the source. Methodological Innovations, 2026 · DOI ↗
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Field: Sensory Systems
Sensory SystemsNeuroscience