학술논문
The development and psychometric properties of a self-report Catastrophizing Questionnaire.
Document Type
Academic Journal
Author
Pike AC; Anxiety Lab, Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, Alexandra House, 17-19 Queen Square, London WC1N 3AR, UK.; Serfaty JR; Anxiety Lab, Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, Alexandra House, 17-19 Queen Square, London WC1N 3AR, UK.; Robinson OJ; Anxiety Lab, Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, Alexandra House, 17-19 Queen Square, London WC1N 3AR, UK.
Source
Publisher: Royal Society Publishing Country of Publication: England NLM ID: 101647528 Publication Model: eCollection Cited Medium: Print ISSN: 2054-5703 (Print) Linking ISSN: 20545703 NLM ISO Abbreviation: R Soc Open Sci Subsets: PubMed not MEDLINE
Subject
Language
English
ISSN
2054-5703
Abstract
Catastrophizing is a cognitive process that can be defined as predicting the worst possible outcome. It has been shown to be related to psychiatric diagnoses such as depression and anxiety, yet there are no self-report questionnaires specifically measuring it outside the context of pain research. Here, we therefore develop a novel, comprehensive self-report measure of general catastrophizing. We performed five online studies (total n = 734), in which we created and refined a Catastrophizing Questionnaire, and used a factor analytic approach to understand its underlying structure. We also assessed convergent and discriminant validity, and analysed test-retest reliability. Furthermore, we tested the ability of Catastrophizing Questionnaire scores to predict relevant clinical variables over and above other questionnaires. Finally, we also developed a four-item short version of this questionnaire. We found that our questionnaire is best fit by a single underlying factor, and shows convergent and discriminant validity. Exploratory factor analyses indicated that catastrophizing is independent from other related constructs, including anxiety and worry. Moreover, we demonstrate incremental validity for this questionnaire in predicting diagnostic and medication status. Finally, we demonstrate that our Catastrophizing Questionnaire has good test-retest reliability (intraclass correlation coefficient = 0.77, p < 0.001). Critically, we can now, for the first time, obtain detailed self-report data on catastrophizing.
Competing Interests: O.J.R.'s MRC senior fellowship is partially in collaboration with Cambridge Cognition (who plan to provide in-kind contribution) and he is running an investigator-initiated trial with medication donated by Lundbeck (escitalopram and placebo, no financial contribution). He also holds an MRC-Proximity to discovery award with Roche (who provide in-kind contributions and have sponsored travel for A.C.P.) regarding work on heart rate variability and anxiety. He has also completed consultancy work on affective bias modification for Peak and online CBT for IESO digital health. J.R.S. and A.C.P. declare no other conflicts of interest. Neither the MRC or Wellcome Trust (who provided funding) had any role in the study design, collection, analysis or interpretation of data.
(© 2021 The Authors.)
Competing Interests: O.J.R.'s MRC senior fellowship is partially in collaboration with Cambridge Cognition (who plan to provide in-kind contribution) and he is running an investigator-initiated trial with medication donated by Lundbeck (escitalopram and placebo, no financial contribution). He also holds an MRC-Proximity to discovery award with Roche (who provide in-kind contributions and have sponsored travel for A.C.P.) regarding work on heart rate variability and anxiety. He has also completed consultancy work on affective bias modification for Peak and online CBT for IESO digital health. J.R.S. and A.C.P. declare no other conflicts of interest. Neither the MRC or Wellcome Trust (who provided funding) had any role in the study design, collection, analysis or interpretation of data.
(© 2021 The Authors.)