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
BackgroundExtant 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. ObjectiveWe develo...
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| Format: | Article |
| Language: | English |
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JMIR Publications
2021-11-01
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| Series: | JMIR Mental Health |
| Online Access: | https://mental.jmir.org/2021/11/e30961 |
| _version_ | 1797735638806560768 |
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| author | Ivan Blanco Teresa Boemo Alvaro Sanchez-Lopez |
| author_facet | Ivan Blanco Teresa Boemo Alvaro Sanchez-Lopez |
| author_sort | Ivan Blanco |
| collection | DOAJ |
| description |
BackgroundExtant 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.
ObjectiveWe 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).
MethodsParticipants 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.
ResultsStructural 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; χ29=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.
ConclusionsThis 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. |
| first_indexed | 2024-03-12T13:01:57Z |
| format | Article |
| id | doaj.art-efc13560d7d64c2f89a8440a5853820e |
| institution | Directory Open Access Journal |
| issn | 2368-7959 |
| language | English |
| last_indexed | 2024-03-12T13:01:57Z |
| publishDate | 2021-11-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Mental Health |
| spelling | doaj.art-efc13560d7d64c2f89a8440a5853820e2023-08-28T19:43:14ZengJMIR PublicationsJMIR Mental Health2368-79592021-11-01811e3096110.2196/30961An 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 StudyIvan Blancohttps://orcid.org/0000-0003-3611-5814Teresa Boemohttps://orcid.org/0000-0002-5543-2914Alvaro Sanchez-Lopezhttps://orcid.org/0000-0003-2815-7803 BackgroundExtant 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. ObjectiveWe 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). MethodsParticipants 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. ResultsStructural 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; χ29=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. ConclusionsThis 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.https://mental.jmir.org/2021/11/e30961 |
| spellingShingle | Ivan Blanco Teresa Boemo Alvaro Sanchez-Lopez 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 JMIR Mental Health |
| 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 |
| url | https://mental.jmir.org/2021/11/e30961 |
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