Anxiety sensitivity and intolerance of uncertainty: Requisites of the fundamental fears?

2007 ◽  
Vol 45 (10) ◽  
pp. 2307-2316 ◽  
Author(s):  
R. Nicholas Carleton ◽  
Donald Sharpe ◽  
Gordon J.G. Asmundson
2019 ◽  
Vol 28 (2) ◽  
pp. 419-440
Author(s):  
Mirjana Sučević ◽  
Ana Kurtović

The purpose of the study was to examine the effects of personality, anxiety sensitivity, intolerance of uncertainty and self-esteem on different anxiety symptoms. A total of 436 university students completed measures of personality, anxiety sensitivity, intolerance of uncertainty, self-esteem, and symptoms of panic, worry and social anxiety. Results have shown that neuroticism, conscientiousness and psychological concerns (anxiety sensitivity) predict symptoms of panic and that psychological concerns mediate the relationship between neuroticism and panic. Worry was predicted by neuroticism, prospective and inhibitory intolerance of uncertainty and self-liking, with intolerance of uncertainty mediating between neuroticism and worry. Finally, neuroticism, openness to experiences and extraversion, as well as social concerns (anxiety sensitivity), inhibitory intolerance of uncertainty and self-liking predicted social anxiety. Social concerns, inhibitory intolerance of uncertainty and self-liking mediated the effects of neuroticism and extraversion on social anxiety. Results offer support to neuroticism being a universal risk factor and anxiety sensitivity, intolerance of uncertainty and self-esteem having specific effects on anxiety symptoms.


Author(s):  
Marco Lauriola ◽  
R. Nicholas Carleton ◽  
Daniela Tempesta ◽  
Pierpaolo Calanna ◽  
Valentina Socci ◽  
...  

In this study, we used structural equation modeling to investigate the interplay among Intolerance of Uncertainty (IU), Anxiety Sensitivity (AS), and sleep problems. Three hundred undergraduate students completed the Intolerance of Uncertainty Scale, the Intolerance of Uncertainty Inventory, the Anxiety Sensitivity Index, the Beck Depression Inventory, the State-Trait Anxiety Inventory, the Pittsburgh Sleep Quality Index and the Insomnia Severity Index. 68% and 40% of the students reported poor sleep quality or sub-threshold insomnia problems, respectively. Depression and anxiety levels were above the cut-off for about one-fourth of the participants. Structural equation modeling revealed that IU was strongly associated with AS, in turn influencing both insomnia severity and sleep quality via depression and anxiety. Significant indirect effects revealed that an anxious pathway was more strongly associated with insomnia severity, while a depression pathway was more relevant for worsening the quality of sleep. We discussed the results in the frameworks of cognitive models of insomnia. Viewing AS and IU as antecedents of sleep problems and assigning to AS a pivotal role, our study suggested indications for clinical interventions on a population at risk for sleep disorders.


2015 ◽  
Vol 174 ◽  
pp. 64-69 ◽  
Author(s):  
Aaron M. Norr ◽  
Brian J. Albanese ◽  
Mary E. Oglesby ◽  
Nicholas P. Allan ◽  
Norman B. Schmidt

2019 ◽  
Vol 41 (3) ◽  
pp. 254-261
Author(s):  
Ali Akbar Foroughi ◽  
Mohsen Mohammadpour ◽  
Sajad Khanjani ◽  
Sahar Pouyanfard ◽  
Nadia Dorouie ◽  
...  

Abstract Introduction: Anxiety sensitivity plays a prominent role in the etiology of anxiety disorders. This construct has attracted widespread interest from experts and researchers. The Anxiety Sensitivity Index (ASI-3) is the most common scale for measuring anxiety sensitivity. Objective: To analyze the psychometric properties and factor structure of the ASI-3 in Iranian student samples. Methods: 220 students (135 women, 85 men) from Kermanshah University of Medical Sciences were selected by the convenience sampling method to evaluate the psychometric properties and analyze the factor structure of the ASI-3. The subjects were also asked to complete the Acceptance and Action Questionnaire-II (AAQ-II), Whiteley Index, Intolerance of Uncertainty, and Neuroticism scales. LISREL and SPSS were used to analyze the data. Cronbach's alpha and correlation coefficients were calculated and confirmatory factor analysis was conducted. Results: The results of the confirmatory factor analysis revealed a three-factor structure with physical, cognitive, and social components (comparative fit index = 0.94; normed fit index = 0.91; root mean square error of approximation = 0.09). The ASI-3 had positive and significant correlations with health anxiety (0.59), intolerance of uncertainty (0.29), and neuroticism (0.51). Furthermore, the ASI-3 had a negative and significant correlation with the AAQII (-0.58). Cronbach's alpha coefficients for the whole scale and for the physical, cognitive, and social concerns factors were 0.90, 0.74, 0.79, and 0.78, respectively. The invariance of the index was significant compared to the original English version. Conclusion: In general, the results support the adequacy of the psychometric properties of the Persian version of the ASI-3. Theoretical and applied implications will be discussed.


2022 ◽  
Author(s):  
Stephen Semcho ◽  
Matthew W. Southward ◽  
Nicole Stumpp ◽  
Destiney MacLean ◽  
Caitlyn O. Hood ◽  
...  

Aversive reactivity to negative affect has been described as a transdiagnostic mechanism that links distal temperamental vulnerabilities to clinically relevant behaviors. However, the abundance of constructs reflecting aversive reactivity has resulted in a proliferation of models that may ultimately be redundant. We performed a circumscribed review of studies measuring associations between six constructs – anxiety sensitivity, experiential avoidance, distress intolerance, intolerance of uncertainty, thought-action fusion, and negative urgency – and ten relevant coping behaviors. Results suggested that most constructs were measured in relation to a limited number of coping behaviors. Additionally, constructs were most often measured in isolation, rather than with similar constructs. Implications and suggestions for future research and treatment are discussed.


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