Cognitive Emotion‐Regulation and Depressive Symptoms in a Group of Healthcare Workers During the COVID‐19 Pandemic: A Person‐Based Approach

This study aimed to identify profiles of cognitive emotion regulation strategies and to examine the association between emotion regulation profiles and depressive symptoms using a sample of healthcare workers under the impact of COVID-19. A total of 3477 Chinese healthcare workers participated in the online survey. Latent profile analysis was used to identify cognitive regulation patterns using nine strategies. Depressive symptoms were compared among cognitive regulation patterns. The results yielded three cognitive emotion regulation patterns: regulators with low controllability of emotions and events (RLCEE, 65.5%), regulators with high controllability of emotions and events (RHCEE, 33.0%) and high regulators (HR, 5.4%). The HRs reported the highest level of depression symptoms, followed by the RHCEEs and RLCEEs. The results illustrated a significant association between depressive symptoms and emotion regulation profiles in healthcare workers under the impact of the COVID-19 pandemic.

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Publication Details

Journal
Stress and Health
Published
2025-02-01
DOI
https://doi.org/10.1002/smi.70013
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
0.00
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article

Cognitive Emotion‐Regulation and Depressive Symptoms in a Group of Healthcare Workers During the COVID‐19 Pandemic: A Person‐Based Approach

Ting Zhou, Sixiang Liang, Qian Wang, Sha Sha et al.
Stress and Health
COVID-19 and Mental Health
article

Cognitive Emotion‐Regulation and Depressive Symptoms in a Group of Healthcare Workers During the COVID‐19 Pandemic: A Person‐Based Approach

Ting Zhou, Sixiang Liang, Qian Wang, Sha Sha, Li Zhou, Tengfei Tian, Zhen-Yuan Lin
article en

Abstract

This study aimed to identify profiles of cognitive emotion regulation strategies and to examine the association between emotion regulation profiles and depressive symptoms using a sample of healthcare workers under the impact of COVID-19. A total of 3477 Chinese healthcare workers participated in the online survey. Latent profile analysis was used to identify cognitive regulation patterns using nine strategies. Depressive symptoms were compared among cognitive regulation patterns. The results yielded three cognitive emotion regulation patterns: regulators with low controllability of emotions and events (RLCEE, 65.5%), regulators with high controllability of emotions and events (RHCEE, 33.0%) and high regulators (HR, 5.4%). The HRs reported the highest level of depression symptoms, followed by the RHCEEs and RLCEEs. The results illustrated a significant association between depressive symptoms and emotion regulation profiles in healthcare workers under the impact of the COVID-19 pandemic.

Stress and HealthVol. 41(1)
Capital Medical University (CN), Peking University (CN), Beijing Anding Hospital (CN), Peking University Sixth Hospital (CN)
Good health and well-being
Openalex Percentile: Top 97%
COVID-19 and Mental Health
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