The Impact of Life Stressors Associated With the COVID-19 Pandemic on Essential Workers of Color

Objective: Although essential workers of color in the United States have been notably at risk during the COVID-19 pandemic, less is known about the impacts of associated life stressors within this population. Thus, the purpose of this study is to understand (a) the impact of life stressors among a sample of essential workers of color during the COVID-19 pandemic and (b) associations between life stressors and sociodemographic characteristics, work, mental health, substance use, and eating behaviors. Method: Essential workers of color (N=319) completed the Holms-Rahe Life Stress Inventory to examine whether any set of 43 life stress experiences occurred because of COVID-19. We used latent class analysis to examine patterns of clustering. Results: We identified three latent classes: (a) minimally impacted, (b) moderately impacted, and (c) widely impacted. Most of our sample reported being minimally impacted (53%) or moderately impacted (35%) by life events during the pandemic. However, participants clustered within the widely impacted pattern (11%) reported significantly more concerns with substance use, binge eating, and perceived stress. Conclusions: Findings highlight distinct patterns of life-stress impacts caused by COVID-19 among essential workers of color. Social workers must consider how to implement policies to reduce the systematic challenges faced by those who are most marginalized.

Is there a Common Digital Market in the European Union? Implications for the European Digitalization Strategy

Due to the impact of the COVID‐19 pandemic, people has changed the way they work, learn and socialize. As result, it is important to identify the pre‐existing digital gaps to implement the European Union digitalization strategy. This study aims to identify typologies of internet use in the 28 European Union (EU) countries (at the time of the survey), based on the characteristics of the users and their internet usage patterns. A two‐level latent class analysis was applied. At the first level, individuals within each country were grouped according to their characteristics of internet use;and, simultaneously, at the second level, countries were grouped based on the similar structure of individual segments. Using data from Eurobarometer, results show that internet use in the EU digital market is not homogeneous. The European Commission should take these pre‐existing gaps into account in the EU digitalization strategy.

POSTTRAUMATIC STRESS DISORDER CHECKLIST FOR DSM-5 (PCL-5). LATENT STRUCTURE ANALYSIS AND MEASUREMENT INVARIANCE IN A SAMPLE OF ITALIAN HEALTH WORKERS DURING THE COVID-19 PANDEMIC

The COVID-19 pandemic poses a significant threat to health workers (HW) in terms of posttraumatic stress symptoms (PTSS) and disorder (PTSD). Over the years, alternative PTSD structures have been proposed (DSM-5, Dysphoria, Dysphoric Arousal, Anhedonia, Externalizing Behaviors, Hybrid) and tested. To date, no studies have addressed this issue focusing on HW during the COVID-19 pandemic. This study investigated the fit of alternative PTSD structures in two Italian samples: HW during the COVID-19 pandemic, and university students in a pre-pandemic context. A total of 580 HW and 451 students completed the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) assessing PTSS. Confirmatory factor analysis investigated the best PTSD structure in each sample;measurement invariance was also inspected. The Anhedonia structure performed best in both samples;this model showed configural, metric, variances and covariances invariance. Results pave the way to the use of the PCL-5 to tailor intervention supporting HW during the pandemic. [ FROM AUTHOR]