Correlation between emotional intelligence and negative emotions of front‐line nurses during the COVID‐19 epidemic: A cross‐sectional study

Sun, Han‐Dong; Wang, Shuling; Wang, Wei; Han, Guanghong; Liu, Zhijian; Wu, Qi; Pang, Xiaoli

doi:10.1111/jocn.15548

Cited by 56 publications

(68 citation statements)

References 33 publications

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“…The anxiety score was 8.70 points, indicating mild anxiety, and the stress score was 10.84 points, indicating a normal level of stress. This is similar to the results of previous studies in other countries, reporting a normal level of depression, mild anxiety, and a normal level of stress during the current COVID-19 pandemic [ 10 , 11 ]. Thus, it can be interpreted that similar levels of depression, anxiety, and stress have been experienced by nurses globally during this pandemic.…”

Section: Discussionsupporting

confidence: 91%

“…This abovementioned result is inconsistent with Sun et al’s [ 10 ], who reported that being a charge nurse was not a factor affecting stress during the COVID-19 pandemic, and that the level of stress was higher among head nurses. When considering the division of duties in the hospital, charge nurses are responsible for both administrative work and direct nursing care, while head nurses mainly perform administrative work [ 21 ].…”

Section: Discussioncontrasting

confidence: 74%

“…However, 55 participants (30.6%) in this study had moderate to severe levels of depression. This is higher than those reported among nurses in China (0.6%) [ 10 ], and in the general public of South Korea (20.7%) [ 12 ].…”

Section: Discussioncontrasting

confidence: 58%

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Mental Health Status and Its Influencing Factors: The Case of Nurses Working in COVID-19 Hospitals in South Korea

Kim

Yang

2021

IJERPH

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The mental health of nurses participating in patient care is under threat amid the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to identify the mental health status (depression, anxiety, and stress) and its influencing factors on nurses who provided patient care at a specialized hospital for COVID-19 in South Korea. Of the 180 nurses who participated in this study, 30.6% had moderate or higher levels of depression, 41% had moderate or higher anxiety levels, and 19.4% had moderate or higher stress levels. In this study, stigma influenced nurses’ mental health, such that the higher the stigma, the higher the nurses’ depression, anxiety, and stress. Depression was higher in female nurses than in male nurses, and stress was higher in charge nurses than nurses in other job positions. Therefore, a management program should be designed to improve the mental health of nurses during the current pandemic. In particular, a solution to reduce stigma is required, and the mental health of female nurses and nurses in leadership roles requires special attention.

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Section: Discussionsupporting

confidence: 91%

Section: Discussioncontrasting

confidence: 74%

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Mental Health Status and Its Influencing Factors: The Case of Nurses Working in COVID-19 Hospitals in South Korea

Kim

Yang

2021

IJERPH

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“…Therefore, training and prevention programs should be developed that, among other consequences, reduce anxiety in the face of death. Among them, those focused on improving emotional intelligence could be of great value since they have proven helpful in different contexts [ 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 ].…”

Section: Discussionmentioning

confidence: 99%

Death Anxiety in Social Workers as a Consequence of the COVID-19 Pandemic

Martínez-López

Lázaro-Pérez

Galán

2021

Behavioral Sciences

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The COVID-19 pandemic has affected all social spaces, conditioning our daily routines, including those at work. All professions have been affected by stressful situations and anxiety in the proximity’s face of death generated by the pandemic. In this context, some professionals have emerged as essential, as social workers, acting in extreme situations in the face of increased demands and social uncertainty arising from the health crisis. The present study aimed to determine the levels of anxiety about death among social workers in Spain. For this purpose, an ad hoc questionnaire was designed, taking the Collett and Lester Fear of Death Scale as a reference (n = 304). The exploitation of the data was carried out from a quantitative perspective. First, a descriptive analysis was performed. Then, binary logistic regressions were carried out on the general scale. The dependent variable in all of them was the risk of suffering death anxiety to the set of its subscales. The main research results show high values of this anxiety in social workers concerning the general value of the scale—and the subscales—and the point of view of state and process. The highest values were Fear of Death of Others (81.6%) and Fear of the Process of Dying of Others (78.3%). Regarding the binary logistic regressions applied, predictor variables were identified in all of them, but the following stand out: Lack of personal protection equipment and Need psychological or psychiatric support. In addition, being a woman increases the risk of suffering Fear of the Dying Process of others.

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“…We also emailed the authors of 43 articles that missed critical information and were able to get the information to include 10 additional studies. Altogether, the process generated 131 articles for this meta-analysis (An et al, 2020; Ben-Ezra et al; Cai et al; Cao et al, 2020; Chen et al; Chen et al; Chen et al; Chen et al; Chen et al, 2020; Cheng et al; Choi et al; Dai, 2020; Dong et al, 2020; Du et al, 2020; Elhai et al, 2020; Fang et al, 2020; Feng et al, 2020; Fong et al, 2020; Fu et al, 2020; Gao, 2020; Guo et al, 2020; Guo, 2020; Han et al, 2020; Hong et al, 2020; Hou et al, 2020; Hu et al, 2020a; Hu et al, 2020b; Huang et al, 2020a; Huang et al, 2020c; Huang et al, 2020d; Jin et al, 2020; Juan et al, 2020; Lai et al, 2020; Lam et al, 2020; Lei et al, 2020; Leng et al, 2020; Li; Li et al, 2020a; Li et al, 2020b; Li et al, 2020c; Li, 2020a; Li et al, 2020d; Li et al, 2020e; Li, 2020b; Li et al, 2020f; Li et al, 2020g; Liang et al, 2020; Lin et al, 2020a; Lin et al, 2020b; Liu, 2020; Liu, in press; Liu et al, 2020a; Liu et al, 2020b; Liu et al, 2020c; Liu et al, 2020d; Liu et al, 2020e; Liu et al, 2020f; Lu et al, 2020a; Lu et al, 2020b; Lu et al, 2020c; Mi et al, 2020; Ni et al, 2020a; Ni et al, 2020b; Ning et al, 2020; Pan et al, 2020a; Pan et al, 2020b; Qi, 2020; Qian et al, 2020; Qian, 2020; Qiu et al, 2020; Que et al, 2020; Ren et al, 2020b; Shi et al, 2020; Si et al, 2020; Song et al, 2020; Song, 2020; Su et al, 2020; Sun et al, 2020a; Sun, 2020; Sun et al, 2020b; Sun et al, 2020c; Tan et al, 2020; Teng et al, 2020; Tu et al, 2020; Wang et al, 2020a;…”

Section: Resultsmentioning

confidence: 99%

One Year of Evidence on Mental Health Disorders in China during the COVID-19 Crisis - A Systematic Review and Meta-Analysis

Chen¹,

Chen

Zhang³

et al. 2021

Preprint

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Objective: This paper provides a systematic review and meta-analysis on the prevalence rate of mental health issues of the major population, including general population, general healthcare workers (HCWs), and frontline healthcare workers (HCWs), in China over one year of the COVID-19 crisis. Design: A systematic review and meta-analysis. Data sources: articles in PubMed, Embase, Web of Science, and medRxiv up to November 16, 2020, one year after the first publicly known confirmed COVID-19 case. Eligibility criteria and data analysis: any COVID-19 and mental disorders relevant English studies with frontline/general healthcare workers, general adult population sample, using validated scales. We pooled data using random-effects meta-analyses to estimate the prevalence rates of anxiety, depression, distress, general psychological symptoms (GPS), insomnia, and PTSD and ran meta-regression to tease out the heterogeneity. Results: The meta-analysis includes 131 studies and 171 independent samples. The overall prevalence of anxiety, depression, distress, GPS, insomnia, and PTSD are 11%, 13%, 20%, 13%, 19%, and 20%, respectively. The meta-regression results uncovered several predictors of the prevalence rates, including severity (e.g., above severe vs. above moderate, p<0.01; above moderate vs. above mild, p<0.01) and type of mental issues (e.g., depression vs. anxiety, p=0.04; insomnia vs. anxiety p=0.04), population (frontline HCWs vs. general HCWs, p<0.01), sampling location (Wuhan vs. non-Wuhan, p=0.04), and study quality (p=0.04). Limitations: First, we only focus on China population, which may limit the generalizability of the results. Second, 96.2% studies included in this meta-analysis were cross-sectional. Last, since we only included studies published in English, we expect to have a language bias. Conclusion: Our pooled prevalence rates are significantly different from, yet largely between, the findings of previous meta-analyses, suggesting the results of our larger study are consistent with, yet fine-tune, the findings of the smaller, previous meta-analyses. Hence, this meta-analysis not only provides a significant update on the mental health prevalence rates in COVID-19 but also suggests the need to update meta-analyses continuously to provide more accurate estimates of the prevalence of mental illness during this ongoing health crisis. While prior meta-analyses focused on the prevalence rates of mental health disorders based on one level of severity (i.e., above mild), our findings also suggest a need to examine the prevalence rates at varying levels of severity. The one-year cumulative evidence on sampling locations (Wuhan vs. non-Wuhan) corroborates the typhoon eye effect theory. Our finding that the prevalence rates of distress and insomnia and those of frontline healthcare workers are higher suggest future research and interventions should pay more attention to those mental outcomes and populations. Keywords: systematic review; meta-analysis; COVID-19; mental health; epidemic; general population; healthcare workers; frontline healthcare workers

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Correlation between emotional intelligence and negative emotions of front‐line nurses during the COVID‐19 epidemic: A cross‐sectional study

Cited by 56 publications

References 33 publications

Mental Health Status and Its Influencing Factors: The Case of Nurses Working in COVID-19 Hospitals in South Korea

Mental Health Status and Its Influencing Factors: The Case of Nurses Working in COVID-19 Hospitals in South Korea

Death Anxiety in Social Workers as a Consequence of the COVID-19 Pandemic

One Year of Evidence on Mental Health Disorders in China during the COVID-19 Crisis - A Systematic Review and Meta-Analysis

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