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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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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. |
format | Online Article Text |
id | pubmed-8565804 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
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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