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      Depression, Anxiety, and Stress Among Healthcare Workers During the COVID-19 Outbreak and Relationships With Expressive Flexibility and Context Sensitivity

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          Abstract

          This study aimed at investigating depression, anxiety, and stress symptoms among healthcare workers and examine the role of expressive flexibility and context sensitivity as key components of resilience in understanding reported symptoms. We hypothesized a significant and different contribution of resilience components in explaining depression, anxiety, and stress. A total sample of 218 Italian healthcare workers participated in this study through an online survey during the lockdown, consequently to the COVID-19. The Depression Anxiety Stress Scales-21 (DASS-21) was used to measure depression, anxiety, and stress; the Flexible Regulation of Emotional Expression (FREE) scale was used to measure the ability to enhance and suppress emotional expression; the Context Sensitivity Index (CSI) was used to measure the ability to accurately perceive contextual cues and determine cue absence. Demographic and work-related data were also collected. DASS-21 cut-off scores were used to verify the mental status among the respondents. Correlational analyses examined relationships between DASS-21, FREE, and CSI, followed by three regression analyses with depression, anxiety, and stress as dependent variables, controlling for age, gender, and work experience. Enhancement and suppression abilities, cue presence, and cue absence served as independent variables. The results showed a prevalence of moderate to extremely severe symptoms of 8% for depression, 9.8% for anxiety, and 8.9% for stress. Results of correlational analysis highlighted that enhance ability was inversely associated with depression and stress. Suppression ability was inversely associated with depression, anxiety, and stress. The ability to perceive contextual cues was inversely associated with depression and anxiety. The regression analysis showed that the ability to enhance emotional expression was statistically significant to explain depression among healthcare workers. In predicting anxiety, age, and the ability to accurately perceive contextual cues and determine cue absence made substantial contributions as predictors. In the last regression model, age, work experience, and the ability to suppress emotional expression were significant predictors of stress. This study’s findings can help understand the specific contributions of enhancement and suppression abilities and sensitivity to stressor context cues in predicting depression, anxiety, and stress among healthcare workers. Psychological interventions to prevent burnout should consider these relationships.

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          Most cited references36

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          Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

          Key Points Question What factors are associated with mental health outcomes among health care workers in China who are treating patients with coronavirus disease 2019 (COVID-19)? Findings In this cross-sectional study of 1257 health care workers in 34 hospitals equipped with fever clinics or wards for patients with COVID-19 in multiple regions of China, a considerable proportion of health care workers reported experiencing symptoms of depression, anxiety, insomnia, and distress, especially women, nurses, those in Wuhan, and front-line health care workers directly engaged in diagnosing, treating, or providing nursing care to patients with suspected or confirmed COVID-19. Meaning These findings suggest that, among Chinese health care workers exposed to COVID-19, women, nurses, those in Wuhan, and front-line health care workers have a high risk of developing unfavorable mental health outcomes and may need psychological support or interventions.
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            Prevalence of depression, anxiety, and insomnia among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis

            Highlights • At least one in five healthcare professionals report symptoms of depression and anxiety. • Almost four in 10 healthcare workers experience sleeping difficulties and/or insomnia. • Rates of anxiety and depression were higher for female healthcare workers and nursing staff. • Milder mood symptoms are common and screening should aim to identify mild and sub-threshold syndromes.
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              Online mental health services in China during the COVID-19 outbreak

              At the start of 2020, the 2019 coronavirus disease (COVID-19), originating from Wuhan in Hubei province, started to spread throughout China. As a result of the rapidly increasing numbers of confirmed cases and deaths, both medical staff and the public have been experiencing psychological problems, including anxiety, depression, and stress.1, 2 Since January, 2020, the National Health Commission of China have published several guideline documents, starting with the notification of principles for emergency psychological crisis intervention for the COVID-19 epidemic on January 26, then the notice on establishing psychological assistance hotlines for the epidemic on February 2, and most recently, guidelines for psychological assistance hotlines during the COVID-19 epidemic on February 7. 3 During the severe acute respiratory syndrome epidemic in 2003, internet services and smartphones were not widely available. Therefore, few online mental health services were provided for those in need. 4 The popularisation of internet services and smartphones, and the emergence of fifth generation (5G) mobile networks, have enabled mental health professionals and health authorities to provide online mental health services during the COVID-19 outbreak. Fast transmission of the virus between people hinders traditional face-to-face psychological interventions. By contrast, provision of online mental health services is safe. To date, several types of online mental health services have been implemented widely for those in need during the outbreak in China. Firstly, as of Feb 8, 2020, 72 online mental health surveys associated with the COVID-19 outbreak could be searched for via the WeChat-based survey programme Questionnaire Star, which target different populations, including medical staff (23 of the surveys), patients with COVID-19 (one survey), students (18 surveys), the general population (nine surveys), and mixed populations (21 surveys); in Hubei province (five surveys), other provinces (15 surveys), all provinces, municipalities, and autonomous regions (36 surveys), and unspecified areas of China (16 surveys). One such multicentre survey involving 1563 medical staff, with our centre at Nanfang Hospital, Southern Medical University (Guangzhou, China) as one of the study sites, found the prevalence of depression (defined as a total score of ≥5 in the Patient Health Questionnaire-9) to be 50·7%, of anxiety (defined as a total score of ≥5 in the Generalized Anxiety Disorder-7) to be 44·7%, of insomnia to be 36·1% (defined as a total score of ≥8 in the Insomnia Severity Index), and of stress-related symptoms (defined as a total score of ≥9 in the Impact of Events Scale-Revised) to be 73·4%. These findings are important in enabling health authorities to allocate health resources and develop appropriate treatments for medical staff who have mental health problems. Secondly, online mental health education with communication programmes, such as WeChat, Weibo, and TikTok, has been widely used during the outbreak for medical staff and the public. In addition, several books on COVID-19 prevention, control, and mental health education have been swiftly published and free electronic copies have been provided for the public. As of February 8, 29 books associated with COVID-19 have been published, 11 (37·9%) of which are on mental health, including the “Guidelines for public psychological self-help and counselling of 2019-nCoV pneumonia”, published by the Chinese Association for Mental Health. Finally, online psychological counselling services (eg, WeChat-based resources) have been widely established by mental health professionals in medical institutions, universities, and academic societies throughout all 31 provinces, municipalities, and autonomous regions in mainland China, which provide free 24-h services on all days of the week. Online psychological self-help intervention systems, including online cognitive behavioural therapy for depression, anxiety, and insomnia (eg, on WeChat), have also been developed. In addition, several artificial intelligence (AI) programmes have been put in use as interventions for psychological crises during the epidemic. For example, individuals at risk of suicide can be recognised by the AI programme Tree Holes Rescue, 5 by monitoring and analysing messages posted on Weibo, and alerting designated volunteers to act accordingly. In general, online mental health services being used for the COVID-19 epidemic are facilitating the development of Chinese public emergency interventions, and eventually could improve the quality and effectiveness of emergency interventions.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                22 February 2021
                2021
                22 February 2021
                : 12
                : 623033
                Affiliations
                [1] 1Department of Social and Educational Sciences of the Mediterranean Area, University for Foreigners “Dante Alighieri” of Reggio Calabria , Reggio Calabria, Italy
                [2] 2Sisifo – Consortium of Social Cooperatives , Catania, Italy
                [3] 3Department of Clinical and Experimental Medicine, University of Messina , Messina, Italy
                [4] 4Teachers College, Columbia University , New York, NY, United States
                Author notes

                Edited by: Andrew E. P. Mitchell, University of Chester, United Kingdom

                Reviewed by: Lilybeth Fontanesi, G. d’Annunzio University of Chieti and Pescara, Italy; Santiago Gascon, University of Zaragoza, Spain; Cristiano Scandurra, University of Naples Federico II, Italy

                *Correspondence: Vittorio Lenzo, v.lenzo@ 123456unidarc.it

                This article was submitted to Psychology for Clinical Settings, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2021.623033
                7937736
                33692724
                0f3c746c-81fb-4fb9-8e51-e7f080a6b1b4
                Copyright © 2021 Lenzo, Quattropani, Sardella, Martino and Bonanno.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 October 2020
                : 26 January 2021
                Page count
                Figures: 0, Tables: 5, Equations: 0, References: 38, Pages: 9, Words: 0
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                covid-19,clinical psychology,depression,anxiety,stress,emotion regulation,flexibility,context sensitivity

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