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Robust dimensions of anxiety sensitivity: Development and initial validation of the anxiety sensitivity index-3

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TLDR
The authors developed an 18-item measure, the ASI-3, which assesses the 3 factors best replicated in previous research: Physical, Cognitive, and Social Concerns and displayed generally good performance on other indices of reliability and validity, along with evidence of improved psychometric properties over the original ASI.
Abstract
Accumulating evidence suggests that anxiety sensitivity (fear of arousal-related sensations) plays an important role in many clinical conditions, particularly anxiety disorders. Research has increasingly focused on how the basic dimensions of anxiety sensitivity are related to various forms of psychopathology. Such work has been hampered because the original measure--the Anxiety Sensitivity Index (ASI)--was not designed to be multidimensional. Subsequently developed multidimensional measures have unstable factor structures or measure only a subset of the most widely replicated factors. Therefore, the authors developed, via factor analysis of responses from U.S. and Canadian nonclinical participants (n=2,361), an 18-item measure, the ASI-3, which assesses the 3 factors best replicated in previous research: Physical, Cognitive, and Social Concerns. Factorial validity of the ASI-3 was supported by confirmatory factor analyses of 6 replication samples, including nonclinical samples from the United States and Canada, France, Mexico, the Netherlands, and Spain (n=4,494) and a clinical sample from the United States and Canada (n=390). The ASI-3 displayed generally good performance on other indices of reliability and validity, along with evidence of improved psychometric properties over the original ASI.

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Citations
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Journal ArticleDOI

Development and initial validation of the COVID Stress Scales.

TL;DR: The authors developed the 36-item COVID Stress Scales (CSS) to measure these features, as they pertain to COVID-19, to better understand and assess COVID19-related distress.
Journal ArticleDOI

Anxiety sensitivity and the anxiety disorders: A meta-analytic review and synthesis.

TL;DR: The results suggest that AS is central to the phenomenology of panic disorder and posttraumatic stress disorder, and causal inferences regarding the role of AS in these anxiety disorders cannot be made.
Journal ArticleDOI

Meta-analysis of the relations of anxiety sensitivity to the depressive and anxiety disorders.

TL;DR: Results of the path analysis indicated that AS is broadly related to these disorders but that agoraphobia, GAD, panic, and PTSD have the strongest associations and AS was more strongly related to the latent distress disorders than the fear disorders.
Journal ArticleDOI

COVID stress syndrome: Concept, structure, and correlates.

TL;DR: Worry about the dangerousness of COVID‐19 is the central feature of the syndrome, and latent class analysis indicated that the syndrome is quasi‐dimensional, comprising five classes differing in syndrome severity.
References
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives

TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal Article

The Mini-International Neuropsychiatric Interview (M.I.N.I.) : The development and validation of a Structured Diagnostic Psychiatric Interview for DSM-IV and ICD-10

TL;DR: The Mini-International Neuropsychiatric Interview is designed to meet the need for a short but accurate structured psychiatric interview for multicenter clinical trials and epidemiology studies and to be used as a first step in outcome tracking in nonresearch clinical settings.
Journal ArticleDOI

Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification

TL;DR: In this article, the sensitivity of maximum likelihood (ML), generalized least squares (GLS), and asymptotic distribution-free (ADF)-based fit indices to model misspecification, under conditions that varied sample size and distribution.
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