Figure 1: A. Distribution of misophonia severity scores across
all participants (n = 676). B. Distribution of different trigger types
across all participants (n = 676).
Figure 2A shows the relation between the likelihood of mimicry and
misophonia severity using univariate logistic regression. The
probability to mimic increased as a function of misophonia severity
(X2 (1, n = 676) = 47.42, p <
.001; Figure 2A). The model explained 9% (Nagelkerke
R2) of the variance and correctly classified 59.8% of
cases, with an odds ratio (OR) of 1.219.
After confirming the relation between mimicry and overall misophonia
severity we explored whether mimicking was associated with triggers of a
particular type. Multivariable logistic regression was performed, with
mimicking as a response variable and sensitivity on seven different
sound categories as explanatory variables. Results of this model are
shown in Table 1. Overall, the model could successfully predict the
outcome in 59% of cases (X2 (1, n = 676) =
40.86, p < .001) and explained 7.8% (Nagelkerke
R2) of the variance. Sensitivity for eating sounds was
the greatest predictor of mimicry (OR = 1.341; p = .001) followed
by sensitivity for consonant/vowel sounds (OR = 1.154; p =
0.046). No other sound category had a significant relationship with
mimicking. Plots of odds ratio for each sound category with 95%
confidence intervals are shown in Figure 2B.