Factor mixture modeling of anxiety sensitivity: Support for the three-class solution in a Serbian sample.

Anxiety sensitivity (AS) is an established transdiagnostic risk factor for emotional disorders. It is defined as the fear of anxiety sensations that arises from beliefs that those sensations can have harmful consequences on cognitive, physical, and social functioning. Thus, AS is usually considered a multidimensional construct comprised of the following dimensions: Cognitive, Physical, and Social concerns. Some studies have questioned its continuous latent structure providing taxometric evidence for its categorical nature. However, more advanced factor mixture modeling (FMM) has offered support for a hybrid, dimensional-categorial latent structure of AS. In other words, 3 qualitatively different classes were identified, with a 3-factor model within each class. In the current study, FMM was used in 2 independent Serbian samples: an adult convenient community (Facebook) sample (N = 359) and a young treatment-seeking sample (N = 342). The obtained results are fairly in line with the most recent work targeting the nature of the AS construct, using the Anxiety Sensitivity Index-3 (ASI-3). By model fit, especially comparing the 2- and 3-class solution in Sample 1, and testing external validity in Sample 2, the empirical evidence supports the 3-class solution, with classes labeled as Normative AS, Moderate AS, and High AS. Important theoretical and practical questions were raised and discussed in the article. (PsycInfo Database Record (c) 2020 APA, all rights reserved).