Literature DB >> 26878897

Mapping the interplay among cognitive biases, emotion regulation, and depressive symptoms.

Jonas Everaert1, Ivan Grahek1, Wouter Duyck2, Jana Buelens1, Nathan Van den Bergh1, Ernst H W Koster1.   

Abstract

Cognitive biases and emotion regulation (ER) difficulties have been instrumental in understanding hallmark features of depression. However, little is known about the interplay among these important risk factors to depression. This cross-sectional study investigated how multiple cognitive biases modulate the habitual use of ER processes and how ER habits subsequently regulate depressive symptoms. All participants first executed a computerised version of the scrambled sentences test (interpretation bias measure) while their eye movements were registered (attention bias measure) and then completed questionnaires assessing positive reappraisal, brooding, and depressive symptoms. Path and bootstrapping analyses supported both direct effects of cognitive biases on depressive symptoms and indirect effects via the use of brooding and via the use of reappraisal that was in turn related to the use of brooding. These findings help to formulate a better understanding of how cognitive biases and ER habits interact to maintain depressive symptoms.

Entities:  

Keywords:  Attention bias; brooding; depressive symptoms; interpretation bias; positive reappraisal

Mesh:

Year:  2016        PMID: 26878897     DOI: 10.1080/02699931.2016.1144561

Source DB:  PubMed          Journal:  Cogn Emot        ISSN: 0269-9931


  9 in total

1.  Attentional bias modification is associated with fMRI response toward negative stimuli in individuals with residual depression: a randomized controlled trial

Authors:  Eva Hilland; Nils I. Landrø; Catherine J. Harmer; Michael Browning; Luigi A. Maglanoc; Rune Jonassen
Journal:  J Psychiatry Neurosci       Date:  2020-01-01       Impact factor: 6.186

2.  Social Media Exposure, Psychological Distress, Emotion Regulation, and Depression During the COVID-19 Outbreak in Community Samples in China.

Authors:  Yu-Ting Zhang; Rui-Ting Li; Xiao-Jun Sun; Ming Peng; Xu Li
Journal:  Front Psychiatry       Date:  2021-05-12       Impact factor: 5.435

3.  A Novel Experience Sampling Method Tool Integrating Momentary Assessments of Cognitive Biases: Two Compliance, Usability, and Measurement Reactivity Studies.

Authors:  Teresa Boemo; Angela Socastro; Ivan Blanco; Oscar Martin-Garcia; Ana Mar Pacheco-Romero; Raquel Rodríguez-Carvajal; Alvaro Sanchez-Lopez
Journal:  JMIR Form Res       Date:  2022-03-28

4.  The antidepressant effect of cognitive reappraisal training on individuals cognitively vulnerable to depression: Could cognitive bias be modified through the prefrontal-amygdala circuits?

Authors:  Xiaoxia Wang; Ying He; Zhengzhi Feng
Journal:  Front Hum Neurosci       Date:  2022-08-04       Impact factor: 3.473

5.  Attentional bias modification in depression through gaze contingencies and regulatory control using a new eye-tracking intervention paradigm: study protocol for a placebo-controlled trial.

Authors:  Carmelo Vazquez; Ivan Blanco; Alvaro Sanchez; Richard J McNally
Journal:  BMC Psychiatry       Date:  2016-12-08       Impact factor: 3.630

6.  The association between implicit and explicit affective inhibitory control, rumination and depressive symptoms.

Authors:  Orly Shimony; Noam Einav; Omer Bonne; Joshua T Jordan; Thomas M Van Vleet; Mor Nahum
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

7.  Emotion Regulation as a Mediator in the Relationship Between Cognitive Biases and Depressive Symptoms in Depressed, At-risk and Healthy Children and Adolescents.

Authors:  A Sfärlea; K Takano; C Buhl; J Loechner; E Greimel; E Salemink; G Schulte-Körne; B Platt
Journal:  Res Child Adolesc Psychopathol       Date:  2021-04-16

Review 8.  Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature.

Authors:  Olivia Remes; João Francisco Mendes; Peter Templeton
Journal:  Brain Sci       Date:  2021-12-10

9.  An Eye-Tracking Study of Attention Biases in Children at High Familial Risk for Depression and Their Parents with Depression.

Authors:  B Platt; A Sfärlea; C Buhl; J Loechner; J Neumüller; L Asperud Thomsen; K Starman-Wöhrle; E Salemink; G Schulte-Körne
Journal:  Child Psychiatry Hum Dev       Date:  2021-01-04
  9 in total

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