Attentional Bias Toward Illness Threat in Individuals with Elevated Health Anxiety
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Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Illness-related bias occurs in highly health-anxious individuals and patients with pathological HA, and describes the tendency to focus on information that confirms health worries and to ignore contradictory information.
“It was found to occur in highly health-anxious individuals [97,98], as well as in patients with pathological HA [99-101] and describes the tendency to focus on information that confirms their health worries and to ignore information that is contradictory [58].”
From Conceptualizations of cyberchondria and relations to the anxiety spectrum: Systematic review and meta-analysis (2021) · cites this paper as [97]
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References 39 · Cited by 107
- Authors
- Owens, K. M. B., Asmundson, G. J. G., Hadjistavropoulos, T., & Owens, T. J.
- Affiliations
- University of Regina (CA)
- Corresponding author
- Asmundson, Gordon J. G.
- Venue
- Cognitive Therapy and Research
- Published
- 2004-02
- Volume
- 28
- Issue
- 1
- Pages
- 57-66
- ISSN
- 0147-5916 (ISSN-L)
- 1573-2819
- OpenAlex
- W2061515894
- Cited by
- 107
- References
- 39
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 4 · 2023: 1 · 2022: 2 · 2021: 9 · 2020: 4 · 2019: 7 · 2018: 6 · 2017: 3 · 2016: 5 · 2015: 12 · 2014: 4 · 2013: 3 · 2012: 7
- FWCI
- 8.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Cognitive Therapy and Research (publishedVersion)
- Funders
- University of Warwick
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Medicine › Psychiatry and Mental health › Psychosomatic Disorders and Their Treatments
- Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
- Keywords
- health anxiety, attentional bias, emotional attention
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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