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An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study

BACKGROUND: Extant research supports causal roles of cognitive biases in 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 for th...

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Detalles Bibliográficos
Autores principales: Blanco, Ivan, Boemo, Teresa, Sanchez-Lopez, Alvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565804/
https://www.ncbi.nlm.nih.gov/pubmed/34517337
http://dx.doi.org/10.2196/30961
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author Blanco, Ivan
Boemo, Teresa
Sanchez-Lopez, Alvaro
author_facet Blanco, Ivan
Boemo, Teresa
Sanchez-Lopez, Alvaro
author_sort Blanco, Ivan
collection PubMed
description BACKGROUND: Extant research supports causal roles of cognitive biases in 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 for the ecological examination of attention and interpretation biases during major stress (ie, the COVID-19 lockdown 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-19–related stressors (ie, low depression and anxiety, and high well-being and resilience). METHODS: Participants completed an online protocol evaluating the psychological impact of COVID-19–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, and lower well-being and resilience; χ(2)(9)=7.57; root mean square error of approximation=0.000). Further, rumination mediated the influence of interpretation bias in anxiety (P=.045; 95% CI 0.03-3.25) and resilience (P=.001; 95% CI −6.34 to −1.65), whereas reappraisal acted as a mediator of the influence of both attention (P=.047; 95% CI −38.71 to −0.16) and interpretation biases (P=.04; 95% CI −5.25 to −0.12) in well-being. 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.
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spelling pubmed-85658042021-11-19 An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study Blanco, Ivan Boemo, Teresa Sanchez-Lopez, Alvaro JMIR Ment Health Original Paper BACKGROUND: Extant research supports causal roles of cognitive biases in 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 for the ecological examination of attention and interpretation biases during major stress (ie, the COVID-19 lockdown 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-19–related stressors (ie, low depression and anxiety, and high well-being and resilience). METHODS: Participants completed an online protocol evaluating the psychological impact of COVID-19–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, and lower well-being and resilience; χ(2)(9)=7.57; root mean square error of approximation=0.000). Further, rumination mediated the influence of interpretation bias in anxiety (P=.045; 95% CI 0.03-3.25) and resilience (P=.001; 95% CI −6.34 to −1.65), whereas reappraisal acted as a mediator of the influence of both attention (P=.047; 95% CI −38.71 to −0.16) and interpretation biases (P=.04; 95% CI −5.25 to −0.12) in well-being. 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. JMIR Publications 2021-11-02 /pmc/articles/PMC8565804/ /pubmed/34517337 http://dx.doi.org/10.2196/30961 Text en ©Ivan Blanco, Teresa Boemo, Alvaro Sanchez-Lopez. Originally published in JMIR Mental Health (https://mental.jmir.org), 02.11.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Blanco, Ivan
Boemo, Teresa
Sanchez-Lopez, Alvaro
An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study
title An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study
title_full An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study
title_fullStr An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study
title_full_unstemmed An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study
title_short An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health During the COVID-19 Lockdown of 2020: Structural Equation Modeling Study
title_sort online assessment to evaluate the role of cognitive biases and emotion regulation strategies for mental health during the covid-19 lockdown of 2020: structural equation modeling study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8565804/
https://www.ncbi.nlm.nih.gov/pubmed/34517337
http://dx.doi.org/10.2196/30961
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