Empathy through the Pandemic: Changes of Different Emphatic Dimensions during the COVID-19 Outbreak

Psychological wellbeing of Italian students and clinical assessment tools at university counseling services during the COVID-19 pandemic: a systematic review

Introduction

The COVID-19 pandemic brought about unprecedented problems for contemporary society. Among the numerous challenges faced following the spread of the virus, the need to provide assessment tools and remote psychological assistance certainly deserves particular attention. Indeed, this profound paradigm shift in psychological assessment and care occurred during a period of fragility for people already suffering from the restrictions imposed to stem the spread of the virus. One population particularly affected by the pandemic was students, including university students. The latter faced the pandemic in a particularly critical formative period.

Methods

For these reasons, our systematic review has two main objectives: (i) identify the assessment tools and psychological dimensions most used/investigated during the pandemic in Italian university students; (ii) systematize and deepen our knowledge about the impact of the pandemic on the psychological wellbeing of Italian university students. Our search used PRISMA 2020 guidelines on Web of Science, Pubmed, Scopus, and EBSCOHost.

Results

The results indicated that the psychological dimensions most investigated in university students during the pandemic were anxiety and depression. At the same time, the most used assessment instruments were the State-Trait Anxiety Inventory (STAI-Y) and the Beck Depression Inventory-II (BDI-II). Furthermore, it is clear from the results that the pandemic has harmed the psychological wellbeing of university students. Finally, we dedicated a section to discuss the interventions implemented by university counseling services during the pandemic.

Discussion

This review could improve the work of university counseling services in this post-pandemic period and contribute to developing specific screening and assessment programs for future emergencies.

Predicting health behaviors during the COVID-19 pandemic: A longitudinal study

We investigated the social, emotional, and cognitive predictors of adherence to four health behaviors (handwashing, mask wearing, social contact limitations, and physical distancing) during one critical phase of the COVID-19 pandemic. We collected data (N = 5803, mean age = 53; 57% women) in Belgium at five time points between April and July 2021, a time during which infections evolved from high (third wave of the pandemic) to low numbers of COVID-19 cases. The results show that the social, emotional, and cognitive predictors achieved high levels of explained variance (R2 > .60). In particular, the central components of behavioral change (attitudes, intentions, control, habits, norms, and risk) were the strongest and most consistent predictors of health behaviors over time. Likewise, autonomous motivation and empathetic emotions (e.g., attentive, compassionate) had a positive impact on health behavior adherence, whereas it was the opposite for lively emotions (e.g., active, enthusiastic). These results offer policymakers actionable insights into the most potent and stable factors associated with health behaviors, equipping them with effective strategies to curtail the spread of future infectious diseases.

Boosting Empathy and Compassion Through Mindfulness-Based and Socioemotional Dyadic Practice: Randomized Controlled Trial With App-Delivered Trainings

BACKGROUND

Contemplative trainings have been found to effectively improve social skills such as empathy and compassion. However, there is a lack of research on the efficacy of app-delivered mindfulness-based and dyadic practices in boosting socioaffective capacity.

OBJECTIVE

The first aim of this study was to compare a novel app-delivered, partner-based socioemotional intervention (Affect Dyad) with mindfulness-based training to foster empathy and compassion for the self or others. The second aim of this study was to investigate the underlying mechanisms of these effects.

METHODS

This randomized controlled trial included socioemotional and mindfulness-based interventions and a waitlist control group, which received socioemotional training after the postintervention assessment. We used linear mixed-effects models to test intervention effects on self-report measures and an ecologically valid computer task of empathy, compassion for the self and others, and theory of mind. Moderated mediation models were used to investigate whether changes in acceptance, empathic distress, empathic listening, interoceptive awareness, and mindfulness served as underlying psychological processes of intervention effects.

RESULTS

In 218 participants (mean age 44.12, SD 11.71 years; 160/218, 73.4% female), we found all interventions to have positive effects on composite scores for compassion toward the self (βsocioemotional=.44, P<.001; βwaitlist socioemotional=.30, P=.002; βmindfulness-based=.35, P<.001) and others (βsocioemotional=.24, P=.003; βwaitlist socioemotional=.35, P<.001; βmindfulness-based=.29, P<.001). Compassion measured with the computer task did not change significantly but showed a trend toward increase only in socioemotional dyadic practice (βsocioemotional=.08, P=.08; βwaitlist socioemotional=.11, P=.06). Similarly, on the empathic concern subscale of the Interpersonal Reactivity Index, a nonsignificant trend toward increase was found in the socioemotional intervention group (βsocioemotional=.17; P=.08). Empathy significantly increased in both socioemotional groups (βsocioemotional=.16, P=.03; βwaitlist socioemotional=.35, P<.001) and the mindfulness-based group (βmindfulness-based=.15; P=.04). The measures of theory of mind did not change over time. In the mindfulness-based group, the increase in self-compassion was mediated by a decrease in empathic distress (indirect effect abmindfulness-based=0.07, 95% CI 0.02-0.14). In the socioemotional group, an increase in self-compassion could be predicted by an increase in acceptance (βsocioemotional=6.63, 95% CI 0.52-12.38).

CONCLUSIONS

Using a multimethod approach, this study shows that app-delivered socioemotional and mindfulness-based trainings are effective in fostering compassion for the self and others in self-report. Both low-dose trainings could boost behavioral empathy markers; however, the effects on behavioral and dispositional markers of compassion only trended after dyadic practice, yet these effects did not reach statistical significance. Training-related increases in self-compassion rely on differential psychological processes, that is, on improved empathic distress regulation through mindfulness-based training and the activation of a human care- and acceptance-based system through socioemotional dyadic training.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04889508; https://clinicaltrials.gov/ct2/show/NCT04889508.

Eliciting empathetic drives to prosocial behavior during stressful events

In the current pandemic situation, psychological science is increasingly considered by public health policy. Empathy is mainly recognized as a crucial drive for prosocial behavior. However, this rich body of evidence still lacks visibility and implementation. Effective social programs are needed, and little is known about how to elicit empathetic drives. The paper gives first a clear foundation to the role of empathy during stressful events. It provides then a comprehensive overview of innovative interventions triggering empathic response in the public such as fiction, film, and theater. Moreover, it integrates interactive ways of sharing personal views that could elicit empathetic feelings in different people. Advances deriving from this perspective could be of significant public interest in the current and future health crises and help authorities develop innovative social programs, which should be the focus of further scientific inquiry.