Knowledge of COVID-19 and Its Influence on Mindfulness, Cognitive Emotion Regulation and Psychological Flexibility in the Indian Community

Dubey, Neha; Podder, Priyanka; Pandey, Dinkar

doi:10.3389/fpsyg.2020.589365

Cited by 35 publications

(35 citation statements)

References 107 publications

(134 reference statements)

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“…Maladaptive cognitive emotion regulation strategies were related to depression, anxiety, and distress (Dubey et al, 2020) and mental health problems (Riaz et al, 2021). However, Dubey et al (2020) found several unexpected associations between adaptive coping strategies, such as acceptance, and higher levels of depression and distress. These results might indicate that coping strategies that are adaptive in non-pandemic contexts might be not adaptive during a pandemic (Dubey et al, 2020).…”

Section: Introductionmentioning

confidence: 95%

“…The CERQ has been used during the COVID-19 pandemic. Maladaptive cognitive emotion regulation strategies were related to depression, anxiety, and distress (Dubey et al, 2020) and mental health problems (Riaz et al, 2021). However, Dubey et al (2020) found several unexpected associations between adaptive coping strategies, such as acceptance, and higher levels of depression and distress.…”

Section: Introductionmentioning

confidence: 95%

“…However, Dubey et al (2020) found several unexpected associations between adaptive coping strategies, such as acceptance, and higher levels of depression and distress. These results might indicate that coping strategies that are adaptive in non-pandemic contexts might be not adaptive during a pandemic (Dubey et al, 2020). The CERQ covers cognitive coping (Garnefski & Kraaij, 2007), but does not consider behavioral and emotional coping.…”

Section: Introductionmentioning

confidence: 96%

“…The BRIEF-COPE, SCSQ, CERQ, CISS ), these measures lack to capture the full range of the coping behavior that is speci c for a pandemic, as these measures have been designed to assess coping with everyday stressors. Several studies reported unexpected ndings that might be explained by the speci c context of a pandemic (Dubey et al, 2020;Rogowska et al, 2020;Zacher & Rudolph, 2021). Consequently, several researchers have stressed the need to cover the coping behaviors that are unique for a pandemic or an epidemic (Rahman et al, 2020), particularly coping with the stressors related to physical distancing (Cauberghe et al, 2020), which is not covered by the existing measures.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Pandemic Coping Scale – Factorial Validity and Reliability of a Brief Measure of Coping During a Pandemic

Lotzin¹,

Ketelsen²,

Buth³

et al. 2021

Preprint

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Background: This study aimed to assess the factorial validity and reliability of the Pandemic Coping Scale, a new brief measure of coping behavior in response to the stressors of a pandemic. Methods: The scale was administered to N = 2,316 German participants during the COVID-19 pandemic. An exploratory and a confirmatory factor analysis were applied among two random splits of the sample. The global goodness of fit (χ², RMSEA, SRMR, CFI, TLI), the local goodness of fit (factor loadings, communalities, factor reliability, discriminant validity), and test quality criteria (internal consistency, item discrimination, and difficulty) were evaluated for two models (Model 1: four-factor model; Model 2: four-factor model combined with a second-order general factor). Results: The exploratory factor analysis suggested a four-factor solution with factor loadings accounting for 44.6% of the total variance (Factor 1 ‘Healthy Lifestyle’, Factor 2 ‘Joyful Activities’, Factor 3 ‘Daily Structure’, Factor 4 ‘Prevention Adherence’). The confirmatory factor analysis showed a sufficient global fit for both specified models (Model 1: χ² (59, N =1172) = 366.97, p < .001, RMSEA = .067, SRMR = .043, CFI = .926, TLI = .902; Model 2: χ² (61, N = 1172) = 373.33, p < .001, RMSEA = .066, SRMR = .043, CFI = .925, TLI = .904). Model 1 and Model 2 did not significantly differ in their fit to the data (∆χ² (2, N = 1172) = 6.36, p = .042). Local goodness of fit indices were similar for both models and mostly showed moderate to large factor loadings, and good factor reliabilities except for ‘Prevention Adherence’. Conclusion: The Pandemic Coping Scale showed sufficient factorial validity for the four measured dimensions of coping and reliability for the scales except for ‘Prevention Adherence’ to assess coping during the current COVID-19 pandemic. The ‘Prevention Adherence’ subscale might be improved by adding items with higher item difficulties.

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Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The Pandemic Coping Scale – Factorial Validity and Reliability of a Brief Measure of Coping During a Pandemic

Lotzin¹,

Ketelsen²,

Buth³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Due to the burden of stress generated, sleep deprivation, little contact with their family, long hours, and concern for the future, healthcare workers could experience a decrease in their immune response and a lower response to future outbreaks in this sector of the population where COVID 19 has already claimed many victims ( Alnofaiey et al, 2020 ; Conroy et al, 2021 ). These situations have already been explored in other types of populations ( Dubey et al, 2020 ; Liem et al, 2020 ; Rajkumar, 2020 ; Rashidi Fakari and Simbar, 2020 ; Yang et al, 2020 ; Yao et al, 2020 ; Zhu et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Impact of Sleep Deprivation on Emotional Regulation and the Immune System of Healthcare Workers as a Risk Factor for COVID 19: Practical Recommendations From a Task Force of the Latin American Association of Sleep Psychology

Almondes

Agudelo²,

Jiménez‐Correa

2021

Front. Psychol.

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Healthcare workers who are on the front line of coronavirus disease 2019 (COVID-19) and are also undergoing shift schedules face long work hours with few pauses, experience desynchronization of their circadian rhythm, and an imbalance between work hours effort and reward in saving lives, resulting in an impact on work capacity, aggravated by the lack of personal protective equipment (PPE), few resources and precarious infrastructure, and fear of contracting the virus and contaminating family members. Some consequences are sleep deprivation, chronic insomnia, stress-related sleep disorders, and post-traumatic stress disorder. These sleep alterations critically affect mental health, precipitating or perpetuating anxiety, stress, and depression, resulting in the inability to regulate positive and negative emotions. Pre-existing sleep disorders are an important risk factor for the development and maintenance of PSTD when individuals are exposed to an important stressor such as a COVID-19 pandemic. At the same time, how an individual regulates the emotion associated with worries during daytime functioning impacts nighttime sleep, precipitating and perpetuating difficulties in sleeping. All of these changes in sleep and emotional regulation also alter the immune system. Sleep deprivation is commonly associated with chronic inflammatory diseases, due to the desynchronizations in circadian rhythms, causing possible psychophysiological disorders and impaired neuroimmune-endocrine homeostasis. From this perspective, we clarify in this article how sleep disorders affect the immune system and emotional regulation, explaining their phenomenological and neurobiological mechanisms, and discussing elements of cognitive and behavioral coping for health professionals to adopt and manage a healthier sleep pattern in the COVID-19 outbreak.

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The relationship between anxiety and cognitive emotion regulation strategies: A meta‐analysis

Yao,

Chen,

Xuan

2023

Applied Cognitive Psychology

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Previous studies have shown the correlation between anxiety and cognitive emotion regulation strategies, but they have not distinguished between state anxiety and trait anxiety. Thus, we systematically investigated the relationships among strategies, state/trait anxiety and their influencing factors by meta‐analysis. A total of 53 original studies were included, with a total of 33,165 participants. We found: (1) Trait anxiety is negatively correlated with adaptive strategies, and positively correlated with maladaptive strategies. State anxiety is positively correlated with maladaptive strategies, but is uncorrelated to adaptive strategies. (2) Sex significantly moderates the relationships between state anxiety and strategies, but not between trait anxiety and strategies. Both culture and age significantly moderate the relationships between trait anxiety and cognitive emotion regulation strategies (CERS). Meanwhile, culture moderates the relationships between state anxiety and CERS, and age moderates the relationships between state anxiety and maladaptive strategies. Thus, researches in the future should distinguish between the state and trait anxiety.

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Knowledge of COVID-19 and Its Influence on Mindfulness, Cognitive Emotion Regulation and Psychological Flexibility in the Indian Community

Cited by 35 publications

References 107 publications

The Pandemic Coping Scale – Factorial Validity and Reliability of a Brief Measure of Coping During a Pandemic

The Pandemic Coping Scale – Factorial Validity and Reliability of a Brief Measure of Coping During a Pandemic

Impact of Sleep Deprivation on Emotional Regulation and the Immune System of Healthcare Workers as a Risk Factor for COVID 19: Practical Recommendations From a Task Force of the Latin American Association of Sleep Psychology

The relationship between anxiety and cognitive emotion regulation strategies: A meta‐analysis

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