Background The COVID-19 pandemic has exerted great pressure on national health systems, which have aimed to ensure comprehensive healthcare at all times. Healthcare professionals working with COVID-19 patients are on the frontline and thereby confronted with enormous demands. Although early reports exist on the psychological impact of the pandemic on frontline medical staff working in Asia, little is known about its impact on healthcare professionals in other countries and across various work sectors. The present cross-sectional, online survey sought to investigate common work stressors among healthcare professionals, their psychological stress as well as coping resources during the pandemic. Methods A sample of 575 healthcare professionals (57% male) in three different sectors (hospital, prehospital emergency care, and outpatient service) reported their experiences concerning work and private stressors, psychological stress, and coping strategies between April 17, 2020 and June 5, 2020. To capture pandemic-specific answers, most of the items were adapted or newly developed. Exploratory factor analyses (EFA) were conducted to detect underlying latent factors relating to COVID-specific work stressors. In a next step, the effects of these latent stressors across various work sectors on psychological stress (perceived stress, fatigue, and mood) were examined by means of structural equation models (SEM). To add lived experience to the findings, responses to open-ended questions about healthcare professionals’ stressors, effective crisis measures and prevention, and individual coping strategies were coded inductively, and emergent themes were identified. Results The EFA revealed that the examined work stressors can be grouped into four latent factors: “fear of transmission”, “interference of workload with private life”, “uncertainty/lack of knowledge”, and “concerns about the team”. The SEM results showed that “interference of workload with private life” represented the pivotal predictor of psychological stress. “Concerns about the team” had stress-reducing effects. The latent stressors had an equal effect on psychological stress across work sectors. On average, psychological stress levels were moderate, yet differed significantly between sectors (all p < .001); the outpatient group experienced reduced calmness and more stress than the other two sectors, while the prehospital group reported lower fatigue than the other two sectors. The prehospital group reported significantly higher concerns about the team than the hospital group (p < .001). In their reports, healthcare professionals highlighted regulations such as social distancing and the use of compulsory masks, training, experience and knowledge exchange, and social support as effective coping strategies during the pandemic. The hospital group mainly mentioned organizational measures such as visiting bans as effective crisis measures, whereas the prehospital sector most frequently named governmental measures such as contact restrictions. Conclusion The study demonstrated the need for sector-specific crisis measures to effectively address the specific work stressors faced by the outpatient sector in particular. The results on pandemic-specific work stressors reveal that healthcare professionals might benefit from coping strategies that facilitate the utilization of social support. At the workplace, team commitment and knowledge exchange might buffer against adverse psychological stress responses. Schedules during pandemics should give healthcare workers the opportunity to interact with families and friends in ways that facilitate social support outside work. Future studies should investigate cross-sector stressors using a longitudinal design to identify both sector- and time-specific measures. Ultimately, an international comparison of stressors and measures in different sectors of healthcare systems is desirable.
Response inhibition—i.e., the ability to willfully stop preplanned action—is crucial for goal-directed behavior in performance settings. However, response inhibition may be compromised under both emotional and physical stress. Parallel processing models alongside recent empirical data suggests that, when combined, one stressor may “cancel-out” effects of the other stressor. The current preregistered study aimed to verify and extend these findings, by investigating how acute threat and vigorous exercise intensity may interact to influence response inhibition. Twenty-four participants (M age = 23.19, SD age = 3.11) performed an anticipatory response inhibition task under no threat and threat of shock (i.e., receiving mild electric shocks upon making task errors) whilst cycling for 2 × 30 min at light versus vigorous intensity on a stationary bicycle ergometer (i.e., 60% HRmax vs. 86% HRmax). Participants responded to a rising indicator on a screen by lifting their finger off a response switch as soon as the indicator reached a target line (i.e., Go trials; 70% of trials) or to inhibit their lifting response if the indicator automatically stopped rising before the target line (i.e., Stop trials; 30% of trials). Self-reported anxiety was higher under threat versus no-threat conditions and HR and perceived exertion were higher under vigorous versus light exercise intensity. Neither threat nor vigorous exercise significantly altered Go- and Stop-trial performance. No interaction effects for task performance were observed. It is suggested that response inhibition may be relatively robust against mild levels of task-relevant emotional stress and high levels of physical stress.
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