Evidence map›Paper›PMID 38774641›Full record

ArticleComputational psychiatry (Cambridge, Mass.)2023

Catastrophizing and Risk-Taking.

Alexandra C Pike, Ágatha Alves Anet, Nina Peleg, Oliver J Robinson

Abstract read
In one paragraph

Article in Computational psychiatry (Cambridge, Mass.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alexandra C Pike *Department of Psychology, University of York, York, YO10 5DD, GB.ORCID https://orcid.org/0000-0003-1972-5530
Ágatha Alves Anet *Anxiety Lab, Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, University College London, London, GB.ORCID https://orcid.org/0000-0002-4633-9064
Nina PelegAnxiety Lab, Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, University College London, London, GB.
Oliver J RobinsonAnxiety Lab, Neuroscience and Mental Health Group, Institute of Cognitive Neuroscience, University College London, London, GB.ORCID https://orcid.org/0000-0002-3100-1132

Funding

Medical Research Council MR/R020817/1
6 · The paper itself

Abstract

Background: Catastrophizing, when an individual overestimates the probability of a severe negative outcome, is related to various aspects of mental ill-health. Here, we further characterize catastrophizing by investigating the extent to which self-reported catastrophizing is associated with risk-taking, using an online behavioural task and computational modelling. Methods: We performed two online studies: a pilot study (n = 69) and a main study (n = 263). In the pilot study, participants performed the Balloon Analogue Risk Task (BART), alongside two other tasks (reported in the Supplement), and completed mental health questionnaires. Based on the findings from the pilot, we explored risk-taking in more detail in the main study using two versions of the Balloon Analogue Risk task (BART), with either a high or low cost for bursting the balloon. Results: In the main study, there was a significant negative relationship between self-report catastrophizing scores and risk-taking in the low (but not high) cost version of the BART. Computational modelling of the BART task revealed no relationship between any parameter and Catastrophizing scores in either version of the task. Conclusions: We show that increased self-reported catastrophizing may be associated with reduced behavioural measures of risk-taking, but were unable to identify a computational correlate of this effect.

Indexed as

Anxiety/anxiety disordersCBT/Cognitive Behavioural TherapyCognitionWeb-based

Identifiers

PMID38774641
PMCPMC11104403

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.