The effect of type D personality on anxiety, depression and fear of COVID-19 disease in healthcare workers

Profiling health professionals' personality traits, behaviour styles and emotional intelligence: a systematic review

BACKGROUND

Non-cognitive traits have been theorised to predict characteristics, career choice and outcomes of health professionals and could represent a homogenous group. This study aims to profile and compare personality traits, behaviour styles and emotional intelligence of health practitioners across a variety of professions.

METHODS

Empirical literature was systematically reviewed. A two-concept search strategy was applied to four databases (CINAHL, PubMed, Embase, ProQuest). Title/abstract and full text articles were screened against inclusion and exclusion criteria. Methodological quality was assessed using Mixed Methods Appraisal Tool. Data was synthesised narratively and meta-aggregated where feasible.

RESULTS

Three hundred twenty-one studies representing 153 assessment tools of personality (n = 83 studies), behaviour (n = 8), and emotional intelligence (n = 62) were included. Most studies (n = 171) explored personality (medicine, nursing, nursing assistants, dentistry, allied health, paramedics), revealing variation in traits across professions. Behaviour styles were least measured with only ten studies exploring these across four health professions (nursing, medicine, occupational therapy, psychology). Emotional intelligence (n = 146 studies) varied amongst professions (medicine, nursing, dentistry, occupational therapy, physiotherapy, radiology) with all exhibiting average to above-average scores.

CONCLUSION

Personality traits, behaviour styles and emotional intelligence are all key characteristics of health professionals reported in the literature. There is both heterogeneity and homogeneity within and between professional groups. The characterisation and understanding of these non-cognitive traits will aid health professionals to understand their own non-cognitive features and how these might be useful in predicting performance with potential to adapt these to enhance success within their chosen profession.

Type D personality to insomnia: Sleep reactivity, sleep effort, and sleep hygiene as mediators

Background

Insomniacs are heterogenous group with very diverse personalities. We aimed to investigate the mediating role of sleep reactivity (SR), sleep hygiene (SH), and sleep effort (SE) in the relationship between Type D personality and insomnia.

Materials and methods

We conducted a cross-sectional survey among 474 participants. The survey comprised the sociodemographic data form, Insomnia Severity Index (ISI), D Type Personality Scale (DS-14), Ford Insomnia Response to Stress Test (FIRST), Glasgow Sleep Effort Scale (GSES), and Sleep Hygiene Index (SHI). We conducted hierarchical multiple regression analysis to identify the associations between age, sex, SR, Type D personality traits, SE, SH, and insomnia severity. We subsequently conducted mediation analyses to examine whether SR, SH, and SE mediated the relationship between Type D personality and insomnia.

Results

ISI, DS-14, FIRST, SHI, and GSES scores were significantly higher in individuals with Type D personality. Female sex, SR, Type D personality traits, SE, and SH explained 45% of the variance in insomnia severity. When age, sex, insomnia response to stress, and Type D personality traits were controlled, SE and SH significantly explained 25% of the variance in insomnia severity (R ² = 0.45, R ² change = 0.25, F (6.474) = 65.58, p < 0.001). SR, SE, and SH each played a partial mediating role between Type D personality and insomnia.

Conclusion

The findings showed that individuals with Type D personality had high SR and that individuals with a higher number of these personality traits exhibited more severe insomnia symptoms through high SR, greater SE, and worse SH.

The Effects of Personality Traits on Online Rumor Sharing: The Mediating Role of Fear of COVID-19

This study aims to explore the effects of personality traits on online rumor sharing during the novel coronavirus (COVID-19) pandemic and the mediating role of the fear of COVID-19 between them. We conducted this research using a web-based questionnaire distributed to 452 university students who were invited to fill it out. The partial least square structural equation modeling (PLS-SEM) method was used to test the data and model, with the yielded results demonstrating that three—extroversion, emotional instability, and conscientiousness—of the Big Five personality traits are positively related to a fear of COVID-19, with this fear positively affecting online rumor sharing. Moreover, fear of COVID-19 was found to act as a mediator between personality traits and online rumor sharing; thus, we can conclude that persons with high levels of extroversion, emotional instability, and conscientiousness are more likely to share rumors online due to a fear of COVID-19. This study furthers our understanding of the psychological mechanism by which personality traits influence online rumor sharing and provides references for anti-rumor campaigns taking place during the COVID-19 pandemic, as it identifies key groups and sheds light on the necessity of reducing people’s fear of COVID-19.

Implications of quarantine among healthcare professionals: findings from a scoping review

Although quarantine has been largely used in the recent period of novel coronavirus disease (COVID-19), there has to date been no summary of the available literature regarding its implications among health care workers (HCWs). A scoping review was performed, following The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Review and the Joanna Briggs Institute Critical Appraisal Checklist. The CINAHL, PubMed, and SCOPUS databases were queried up to 31 January 2021. Nine studies ranging from low to high methodological quality, were included. These were conducted in diverse countries, predominantly regarding the Severe Acute Respiratory Syndrome and using cross-sectional designs. Quarantine was found to have multifaceted negative consequences that affected HCWs psychologically, professionally, personally, socially and economically. These findings could be useful as a framework for researchers while designing future study protocols, and for policy-makers or managers while establishing multidimensional effective strategies increasing HCWs' resilience and wellness.

AI-Based Prediction and Prevention of Psychological and Behavioral Changes in Ex-COVID-19 Patients

The COVID-19 pandemic has adverse consequences on human psychology and behavior long after initial recovery from the virus. These COVID-19 health sequelae, if undetected and left untreated, may lead to more enduring mental health problems, and put vulnerable individuals at risk of developing more serious psychopathologies. Therefore, an early distinction of such vulnerable individuals from those who are more resilient is important to undertake timely preventive interventions. The main aim of this article is to present a comprehensive multimodal conceptual approach for addressing these potential psychological and behavioral mental health changes using state-of-the-art tools and means of artificial intelligence (AI). Mental health COVID-19 recovery programs at post-COVID clinics based on AI prediction and prevention strategies may significantly improve the global mental health of ex-COVID-19 patients. Most COVID-19 recovery programs currently involve specialists such as pulmonologists, cardiologists, and neurologists, but there is a lack of psychiatrist care. The focus of this article is on new tools which can enhance the current limited psychiatrist resources and capabilities in coping with the upcoming challenges related to widespread mental health disorders. Patients affected by COVID-19 are more vulnerable to psychological and behavioral changes than non-COVID populations and therefore they deserve careful clinical psychological screening in post-COVID clinics. However, despite significant advances in research, the pace of progress in prevention of psychiatric disorders in these patients is still insufficient. Current approaches for the diagnosis of psychiatric disorders largely rely on clinical rating scales, as well as self-rating questionnaires that are inadequate for comprehensive assessment of ex-COVID-19 patients' susceptibility to mental health deterioration. These limitations can presumably be overcome by applying state-of-the-art AI-based tools in diagnosis, prevention, and treatment of psychiatric disorders in acute phase of disease to prevent more chronic psychiatric consequences.

Feeling Anxious Amid the COVID-19 Pandemic: Factors Associated With Anxiety Symptoms Among Nurses in Hong Kong

Background: The coronavirus (COVID-19) pandemic has increased the burden for the medical systems around the world. In Hong Kong, the pandemic not only affects the local populations, but also the healthcare workers. Healthcare workers, especially nurses, involving in COVID-19 treatments are highly susceptible to adverse psychological outcomes (e.g., anxiety symptoms). Studies have shown that socio-demographic characteristics, COVID-19-specific worries, and work settings-related variables are associated with healthcare workers' well-being during the COVID-19 pandemic. However, relevant studies for nurses in Hong Kong are limited. This study examined the psychosocial correlates of anxiety symptoms among nurses in Hong Kong.

Methods: Nurses (N = 1,510) working in hospitals and community settings were recruited through nursing associations in Hong Kong between August 8, 2020 and September 22, 2020. They were invited to complete a cross-sectional survey measuring their anxiety symptoms, sociodemographic characteristics, COVID-19-specific worries, and satisfaction with work and workplace pandemic-control guidelines.

Results: 17.2% of nurses reported moderate to severe levels of anxiety symptoms. Results from hierarchical regressions found that higher COVID-19-specific worries (contracting COVID-19, family members contracting COVID-19 due to their nursing work, insufficient protective equipment at workplace) (βs ranged from 0.07 to 0.20, ps < 0.01), higher perceived stigma of being a healthcare worker (β = 0.18, p < 0.001), and lower work satisfaction (β = −0.21, p < 0.001) were associated with higher anxiety symptoms.

Conclusion: A moderate proportion of nurses in Hong Kong did report levels of anxiety symptoms amid the COVID-19 pandemic. Futures studies could focus on the contributing factors of anxiety symptoms to design for effective strategies to promote nurses' well-being during pandemic situations.