Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:001130951100001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.3390/brainsci13121620
eISSN
2076-3425
Externe Identifier
  • Clarivate Analytics Document Solution ID: DG7X1
  • PubMed Identifier: 38137068
Ausgabe der Veröffentlichung
12
Zeitschrift
BRAIN SCIENCES
Schlüsselwörter
  • ambiguous cue conditioning task
  • dysfunctional attitudes
  • ambiguous social scenarios task
Artikelnummer
ARTN 1620
Datum der Veröffentlichung
2023
Status
Published
Titel
Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata
Sub types
  • Article
Ausgabe der Zeitschrift
13

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:p>A negative interpretation bias appears to depend on several depression-related state and trait characteristics, most notably depressive symptoms, negative mood, and negative cognitive schemas. While empirical findings for explicitly assessed interpretation bias are rather consistent, implicit measures have revealed heterogeneous results. In this context, we present two studies investigating the relationship between implicit and explicit interpretation bias and depression- and anxiety-related state and trait variables. In the first study, we conducted an implicit ambiguous cue-conditioning task (ACCT) with 113 young, healthy individuals. In the second study, we utilized an explicit ambiguous social situations task (DUCTUS) with 113 young, healthy individuals. Additionally, a subsample of 46 participants completed both the ACCT and DUCTUS tasks to directly relate the two bias scores obtained from the implicit and explicit assessment methods, respectively. In the first study, regression analysis revealed no significant predictors for the implicit interpretation bias. However, in the second study, the explicit negative interpretation bias was significantly predicted by female gender, depressive symptoms, and dysfunctional cognitive schemas. For the subsample that completed both tasks, we observed no significant correlation between the two bias scores obtained from the ACCT and DUCTUS. These results suggest that implicit and explicit interpretation biases are differently associated with depression-related trait and state characteristics, indicating that they represent different aspects of biased information processing.</jats:p>
Autoren
DOI
10.3390/brainsci13121620
eISSN
2076-3425
Ausgabe der Veröffentlichung
12
Zeitschrift
Brain Sciences
Sprache
en
Online publication date
2023
Paginierung
1620 - 1620
Status
Published online
Herausgeber
MDPI AG
Herausgeber URL
http://dx.doi.org/10.3390/brainsci13121620
Datum der Datenerfassung
2023
Titel
Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata
Ausgabe der Zeitschrift
13

Datenquelle: Crossref

Abstract
A negative interpretation bias appears to depend on several depression-related state and trait characteristics, most notably depressive symptoms, negative mood, and negative cognitive schemas. While empirical findings for explicitly assessed interpretation bias are rather consistent, implicit measures have revealed heterogeneous results. In this context, we present two studies investigating the relationship between implicit and explicit interpretation bias and depression- and anxiety-related state and trait variables. In the first study, we conducted an implicit ambiguous cue-conditioning task (ACCT) with 113 young, healthy individuals. In the second study, we utilized an explicit ambiguous social situations task (DUCTUS) with 113 young, healthy individuals. Additionally, a subsample of 46 participants completed both the ACCT and DUCTUS tasks to directly relate the two bias scores obtained from the implicit and explicit assessment methods, respectively. In the first study, regression analysis revealed no significant predictors for the implicit interpretation bias. However, in the second study, the explicit negative interpretation bias was significantly predicted by female gender, depressive symptoms, and dysfunctional cognitive schemas. For the subsample that completed both tasks, we observed no significant correlation between the two bias scores obtained from the ACCT and DUCTUS. These results suggest that implicit and explicit interpretation biases are differently associated with depression-related trait and state characteristics, indicating that they represent different aspects of biased information processing.
Addresses
  • Department of Clinical Psychology and Neuropsychology, Institute for Psychology, Johannes Gutenberg-University Mainz, 55122 Mainz, Germany.
Autoren
DOI
10.3390/brainsci13121620
eISSN
2076-3425
Externe Identifier
  • PubMed Identifier: 38137068
  • PubMed Central ID: PMC10742311
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: We3638/3-1
Open access
true
ISSN
2076-3425
Ausgabe der Veröffentlichung
12
Zeitschrift
Brain sciences
Sprache
eng
Medium
Electronic
Online publication date
2023
Open access status
Open Access
Paginierung
1620
Datum der Veröffentlichung
2023
Status
Published
Publisher licence
CC BY
Datum der Datenerfassung
2023
Titel
Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata.
Sub types
  • research-article
  • Journal Article
Ausgabe der Zeitschrift
13

Files

https://www.mdpi.com/2076-3425/13/12/1620/pdf?version=1700752979 https://europepmc.org/articles/PMC10742311?pdf=render

Datenquelle: Europe PubMed Central

Abstract
A negative interpretation bias appears to depend on several depression-related state and trait characteristics, most notably depressive symptoms, negative mood, and negative cognitive schemas. While empirical findings for explicitly assessed interpretation bias are rather consistent, implicit measures have revealed heterogeneous results. In this context, we present two studies investigating the relationship between implicit and explicit interpretation bias and depression- and anxiety-related state and trait variables. In the first study, we conducted an implicit ambiguous cue-conditioning task (ACCT) with 113 young, healthy individuals. In the second study, we utilized an explicit ambiguous social situations task (DUCTUS) with 113 young, healthy individuals. Additionally, a subsample of 46 participants completed both the ACCT and DUCTUS tasks to directly relate the two bias scores obtained from the implicit and explicit assessment methods, respectively. In the first study, regression analysis revealed no significant predictors for the implicit interpretation bias. However, in the second study, the explicit negative interpretation bias was significantly predicted by female gender, depressive symptoms, and dysfunctional cognitive schemas. For the subsample that completed both tasks, we observed no significant correlation between the two bias scores obtained from the ACCT and DUCTUS. These results suggest that implicit and explicit interpretation biases are differently associated with depression-related trait and state characteristics, indicating that they represent different aspects of biased information processing.
Date of acceptance
2023
Autoren
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/38137068
DOI
10.3390/brainsci13121620
Externe Identifier
  • PubMed Central ID: PMC10742311
Funding acknowledgements
  • Deutsche Forschungsgemeinschaft: We3638/3-1
ISSN
2076-3425
Ausgabe der Veröffentlichung
12
Zeitschrift
Brain Sci
Schlüsselwörter
  • ambiguous cue conditioning task
  • ambiguous social scenarios task
  • dysfunctional attitudes
Sprache
eng
Country
Switzerland
PII
brainsci13121620
Datum der Veröffentlichung
2023
Status
Published online
Titel
Dissociation of Implicit and Explicit Interpretation Bias: The Role of Depressive Symptoms and Negative Cognitive Schemata.
Sub types
  • Journal Article
Ausgabe der Zeitschrift
13

Datenquelle: PubMed

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