scholarly journals The role of cognitive biases and emotion regulation strategies when facing major stressors: ecological evidence during the COVID-19 lockdown of 2020 using a novel online cognitive bias assessment. (Preprint)

10.2196/30961 ◽  
2021 ◽  
Author(s):  
Ivan Blanco ◽  
Teresa Boemo ◽  
Alvaro Sanchez-Lopez
Keyword(s):  
Emotion Regulation ◽  
Cognitive Bias ◽  
Cognitive Biases ◽  
Emotion Regulation Strategies ◽  
Bias Assessment ◽  
Regulation Strategies

The role of cognitive biases and emotion regulation strategies when facing major stressors: ecological evidence during the COVID-19 lockdown of 2020 using a novel online cognitive bias assessment (Preprint)

2021 ◽  
Author(s):  
Ivan Blanco ◽  
Teresa Boemo ◽  
Alvaro Sanchez-Lopez
Keyword(s):  
Emotion Regulation ◽  
Psychological Adjustment ◽  
Cognitive Bias ◽  
Cognitive Biases ◽  
Well Being ◽  
Depression And Anxiety ◽  
Emotion Regulation Strategies ◽  
Interpretation Biases ◽  
Regulation Strategies

BACKGROUND Extant research supports a causal role of cognitive biases on stress regulation under experimental conditions. However, their contribution to psychological adjustment in the face of ecological major stressors has been largely unstudied. OBJECTIVE We developed a novel online method to provide an ecological examination of attention and interpretation biases during major stress (ie, the COVID-19 lockdown suffered in March/April 2020) and tested their relations with the use of emotion regulation strategies (ie, reappraisal and rumination), to account for individual differences in psychological adjustment to major COVID-related stressors (ie, low depression and anxiety, high well-being and resilience). METHODS Participants completed an online protocol evaluating the psychological impact of COVID-related stressors and the use of emotion regulation strategies in response to them, during the initial weeks of the lockdown of March/April 2020. They also completed a new online cognitive task, designed to remotely assess attention and interpretation biases for negative information. The psychometric properties of the online cognitive bias assessments were very good, supporting their feasibility for ecological evaluation. RESULTS Structural equation models showed that negative interpretation bias was a direct predictor of worst psychological adjustment (higher depression and anxiety, lower well-being and resilience) [χ2 (gl) = 7.57 (9); RMSEA = .000]. Further, rumination mediated the influence of interpretation bias in anxiety and resilience (P = .045; P = .001, respectively), whereas reappraisal acted as a mediator of the influence of both attention and interpretation biases in well-being (P = .047; P = .041, respectively). CONCLUSIONS This research highlights the relevance of individual processes of attention and interpretation during periods of adversity and identifies modifiable protective factors that can be targeted through online interventions.

scholarly journals The Role of Emotion Regulation Strategies and Behavioral Activation System (BAS) in Social Adjustment of Adolescents With Conduct Disorder

2016 ◽  
Vol 10 (10) ◽  
pp. 75
Author(s):  
Soheila Imanparvar ◽  
Meysam Ghasemi
Keyword(s):  
Emotion Regulation ◽  
Conduct Disorder ◽  
Social Adjustment ◽  
Behavioral Activation ◽  
Regulation System ◽  
Emotion Regulation Strategies ◽  
Behavioral Activation System ◽  
Activation System ◽  
Regulation Strategies

The purpose of this research was to explain the role of emotion regulation strategies and behavioral activation system (BAS) in social adjustment of adolescents with conduct disorder. The method of study is descriptive-correlation. The statistical population included all junior high school students in Ardabil in 2016. The sampling was conducted by the multistage cluster method and then 50 subjects with conduct disorder were selected as the sample group using this method. Data of the present study were collected using Rutter behavioral disorders questionnaire (form B), students adjustment questionnaire, emotion regulation questionnaire and activation system and behavioral inhibition questionnaire. The obtained data were analyzed using Pearson correlation coefficient test and regression analysis using SPSS software. The findings showed that there is a significant relationship between social adjustment and behavioral activation (BAS) and emotion regulation system (P<0.05). Also, the results of regression analysis showed that behavioral activation and emotion regulation system can significantly explain 16% variances in social adjustment of students with conduct disorders. Accordingly, it can be concluded that behavioral activation and emotion regulation system plays a role in social adjustment.

Childhood Trauma and Current Depression Among Chinese University Students: a Moderated Mediation Model of Cognitive Emotion Regulation Strategies and Neuroticism

2021 ◽  
Author(s):  
Qianqian Chu ◽  
Xiang Wang ◽  
Rui Yao ◽  
Jie Fan ◽  
Ya Li ◽  
...  
Keyword(s):  
Emotion Regulation ◽  
University Students ◽  
Moderated Mediation ◽  
Mediation Model ◽  
Moderating Effects ◽  
Emotion Regulation Strategies ◽  
Cognitive Emotion Regulation ◽  
Moderated Mediation Model ◽  
Regulation Strategies

Abstract Background: Childhood trauma (CT) is considered as a highly risk factor for depression. Although the pathway of CT to depression, especially the mediating or moderating effects of cognitive emotion regulation strategies (CERS) or neuroticism, have investigated by several studies, the results were inconsistent and there is a paucity of full models among these interactive factors. This study aims to examine the relationships among CT, adaptive / maladaptive CERS, neuroticism and current depression symptoms in university students.Methods: We recruited 3009 students, aged averagely 18.00 (SD = 0.772) years, from universities in Hunan province in 2019. A moderated mediation model was built to examine the relationships among CT, CERS, neuroticism and current depression using the SPSS PROCESS 3.5 macro. We conducted bootstrapping of regression estimates with 5,000 samples and 95% confidence interval.Results:Results revealed that the significant mediating effects of adaptive CERS (β = 0.0117; 95% CI: 0.0061 to 0.0181) and maladaptive CERS (β = 0.0278; 95% CI: 0.0161 to 0.0401) between CT and depression were observed, accounting for 5.690% and 13.521% of the total effect respectively. Then, moderated mediation analyses results showed that neuroticism simultaneously moderated the direct effect of CT on current depression (β = 0.035; 95% CI: 0.001 to 0.009), and the indirect effects of CT on current depression through adaptive CERS (adaptive CERS – current depression: β = -0.034; 95% CI: -0.007 to -0.001) and maladaptive CERS (maladaptive CERS – current depression: β = 0.157; 95% CI: 0.017 to 0.025). However, the moderating effects of neuroticism in the indirect paths from CT to adaptive CERS (β = 0.037; 95% CI: 0.000 to 0.014) and maladaptive CERS (β = -0.001; 95% CI: -0.006 to 0.005) were not significant.Conclusions: This study provides powerful evidences through a large university students sample for the mediating role of adaptive / maladaptive CERS and the moderating role of neuroticism between CT and current depression. This manifests that cognitive emotion regulation may be a vital factor for people who suffered from CT and current depression. Furthermore, the influence of neuroticism in this process cannot be ignored.

scholarly journals Examining the role of cognitive bias in emotion regulation

2021 ◽  
Author(s):  
Aleksandra Usyatynsky
Keyword(s):  
Emotion Regulation ◽  
Undergraduate Students ◽  
Group Discussion ◽  
Interpretation Bias ◽  
Emotion Regulation Strategies ◽  
Positive Group ◽  
Before And After ◽  
Emotion Regulation Strategy ◽  
Regulation Strategies

Individuals experiencing depressive symptoms interpret ambiguous situations negatively and use helpful emotion regulation strategies less often than those without symptoms. Theory suggests these strategies are used less due to interference from negatively biased interpretations. This study examined whether interpretation bias interferes with emotion regulation by experimentally manipulating interpretations in a positive or negative direction. Method: Undergraduate students were randomly assigned to positive and negative bias training groups. Interpretation bias and emotion regulation questionnaires were completed before and after training. Results: The training succeeded in inducing bias change only for the positive group, and emotion regulation strategy use did not change in either group. Discussion: Interpretation bias was not found to affect emotion regulation. Possible explanations include: bias change in the positive group was not large enough to alter emotion regulation; the task eliciting emotion regulation was ill-suited for this study; and interpretation bias and emotion regulation are unrelated.

Sign in / Sign up

Export Citation Format

Share Document