Heart and Head: Profiles and Predictors of Self-Assessed Cognitive and Affective Empathy in a Sample of Medical and Health Professional Students

Psychological distress and academic success: a two-year study comparing the outcome of two online interventions at a university counseling and consultation service in Italy

Background

The mental health of college students has been a significant concern in higher education, representing a priority for the institutions. Enhancing effective online interventions could represent excellent support for university counseling services that deal with students' well-being. The present study aimed to evaluate the effectiveness of two online interventions provided by the Counseling and Consultation Service for Students (SACS) of the University of L'Aquila (Italy), namely Videochat with Clinical Mental Health consultation (VCMH) and Therapist-supported Internet Cognitive Behavioral Therapy (Ts-iCBT), a 12-module asynchronous program for anxiety management. The primary outcome was focused on the emotional well-being of students (GHQ-12). The secondary academic outcome was represented by the attainment of their final degree.

Methods

Students requesting help from the SACS between March 2020 and March 2022 during different periods of the COVID-19 pandemic restrictions were asked to fill out a brief structured screening tool and access the PSYDIT.COM platform. Based on their personal preferences, students chose to access one of the two different online interventions: VCMH and Ts-iCBT.

Results

Over the two-year duration of this study, 379 students (267 women, 70.4%) contacted the service. Out of 334 students, 72.5% asked to be included in the Ts-iCBT group, whereas 27.5% expressed a preference for the VCMH group. A statistically significant decrease in emotional distress was obtained by both forms of online intervention, highlighting a better outcome for VCMH. In addition to clinical variables, 28.8% of students who completed online interventions attained their degree, with a statistically significantly higher percentage of graduated students in the Ts-iCBT compared to VCMH group. A high proportion of students (37.7% of total sample) dropped out (DO) of digital interventions, with a statistically significant lower rate of dropouts in the VCMH group.

Conclusions

The effectiveness of online interventions is extremely promising and yields a growing source of suggestions for use in providing more tailored interventions. Videochats and frequent therapist online contacts would be recommended for more severe psychopathological conditions. Students in conditions of moderate and non-severe emotional distress who feel more able to "manage the problem alone" could be addressed to asynchronous online interventions.

Resilience, sleep quality and sleepiness in Peruvian medical students: a multicenter study

Background

Resilience can mitigate the negative impact produced by the COVID-19 pandemic. Medical students endure significant academic stress, so adjusting to sudden changes can present greater mental health challenges. The aim is to identify the level and prevalence of resilience and to know what are the educational variables and is sleep quality associated with resilience.

Methods

A cross-sectional study was conducted using an online questionnaire. The survey was elaborated in Google Forms and shared through social networks. The outcome was resilience, measured with the Connor Davidson Resilience Scale. Its association was assessed with sleep quality (measured with the Pittsburgh Sleep Quality Index), daytime sleepiness (measured with the Epworth Sleepiness Scale), and selected academic/sociodemographic variables. Generalized linear models were used to identify the association between the variables.

Results

Of 1277 participants, 35.7% experienced high resilience. Poor sleep quality and sleepiness were present in 88.4% and 36.0% of students, respectively. High resilience was associated with good sleep quality (PR:1.56; 95%CI: 1.34 - 1.83; p-value<0.001), absent sleepiness (PR:1.59; 95%CI: 1.32-1.91; p-value<0.001), male sex (PR: 1.21; 95%CI: 1.05-1.39; p-value 0.006), working (PR:1.14), having family responsibilities (PR: 1.36; 95%CI: 1.09-1.70; p-value 0.005) and spending more than 6 hours studying (PR: 1.35; 95%CI: 1.17-1.54; p-value<0.001).

Conclusion

4 out of 10 students presented high levels of resilience. The development of resilience depended on multiple individual and sociodemographic factors. These findings are important to support universities in developing resilience-building measures and strategies that can be implemented to mitigate the adverse pandemic event.

Empathy's Crucial Role: Unraveling Impact on Students Bullying Behavior - A Scoping Review

Bullying behavior among students is a serious problem in the educational context and has an impact on victims and perpetrators. Bullying has serious impacts, both emotionally and psychologically, especially for victims who are vulnerable to stress, depression, and even in extreme cases, can lead to suicidal tendencies. Empathy is a key factor in responding to bullying situations. So empathy is an important aspect in reducing bullying behavior. The aim of this research is to explore the role of empathy in bullying behavior in students. The scoping review method was used in this research. The keywords used are empathy, bullying, and students. Search for articles in three databases, namely CINAHL, PubMed, and Scopus. The inclusion criteria in the article search were samples are students (elementary schools students until high schools students) English language, discussion of empathy, publication of articles in the last 10 years (2014-2023), and original research. Grey literature excluded in this scoping review. Data analysis using thematic analysis. The authors found 13 articles that discussed the influence of empathy on bullying behavior in students. Findings from the articles analyzed highlight the complexity of the interactions between affective and cognitive empathy and students behavior in the context of bullying. Students with high levels of empathy tend to be more active in defending victims of bullying, while low levels of empathy tend to reinforce bullying behavior or passive bystander attitudes. Intervention programs that include social and emotional skills training, awareness campaigns, and learning approaches that promote tolerance and respect for diversity can have the potential to reduce the incidence of bullying in students. Increasing understanding and empathetic responses can be an effective strategy in addressing bullying problems in schools and communities.

Personalized Machine Learning-Based Prediction of Wellbeing and Empathy in Healthcare Professionals

Healthcare professionals are known to suffer from workplace stress and burnout, which can negatively affect their empathy for patients and quality of care. While existing research has identified factors associated with wellbeing and empathy in healthcare professionals, these efforts are typically focused on the group level, ignoring potentially important individual differences and implications for individualized intervention approaches. In the current study, we implemented N-of-1 personalized machine learning (PML) to predict wellbeing and empathy in healthcare professionals at the individual level, leveraging ecological momentary assessments (EMAs) and smartwatch wearable data. A total of 47 mood and lifestyle feature variables (relating to sleep, diet, exercise, and social connections) were collected daily for up to three months followed by applying eight supervised machine learning (ML) models in a PML pipeline to predict wellbeing and empathy separately. Predictive insight into the model architecture was obtained using Shapley statistics for each of the best-fit personalized models, ranking the importance of each feature for each participant. The best-fit model and top features varied across participants, with anxious mood (13/19) and depressed mood (10/19) being the top predictors in most models. Social connection was a top predictor for wellbeing in 9/12 participants but not for empathy models (1/7). Additionally, empathy and wellbeing were the top predictors of each other in 64% of cases. These findings highlight shared and individual features of wellbeing and empathy in healthcare professionals and suggest that a one-size-fits-all approach to addressing modifiable factors to improve wellbeing and empathy will likely be suboptimal. In the future, such personalized models may serve as actionable insights for healthcare professionals that lead to increased wellness and quality of patient care.

Variations in anxiety and emotional support among first-year college students across different learning modes (distance and face-to-face) during COVID-19

College students with more emotional support experience lower levels of anxiety and other psychosocial and behavioral problems. During the COVID-19 pandemic, the emotional well-being of college students was additionally challenged by an abrupt shift to distance learning followed by a return to face-to-face classes. In this exploratory study, we compared the levels of perceived emotional support and anxiety among incoming first-year undergraduate students, prior to starting classes, which included different learning modes in five semesters of instruction from 2021-2023 (three distance semesters and two face-to-face semesters). Data from 8659 undergraduate students were extracted from a Mexican state university database, corresponding to students' responses collected during new student orientation week. Participants were students in the arts and humanities (9.7%), social and legal sciences (38%), life and health sciences (28.9%), and engineering and architecture (23.4%). Anxiety levels were measured with the GAD-7 scale, and emotional support was measured using a subscale of the PERACT-R (To go through with resilience) inventory. Comparisons of emotional support and anxiety scores among semesters revealed highly significant differences with small effect sizes. Anxiety levels increased significantly with mean average of 6.65 SD(5.52) during the baseline measure to the highest in 2022-2 to 7.53 SD(5.3) and Emotional Support decreased systematically each semester from baseline mean = 8.03 SD(2.0) to the lowest 7.52 SD(1.8) in 2022-2. The results show that a return to face-to-face classes was associated with increased anxiety levels, whereas levels of emotional support systematically decreased across the five semesters. MANOVA analysis revealed significant differences in anxiety and emotional support scores between semesters, with peaks during the learning mode semester that students returned to face-to-face classes after distance learning even after adjusting for gender. Given that the effect of emotional support on anxiety may be related to success in future educational and professional activities, it is important to develop interventions to restore and increase college students' emotional support levels and develop anxiety management strategies.

Impact of COVID-19 on Rocky Vista University medical students' mental health: A cross-sectional survey

Background

The COVID-19 pandemic brought immense changes to medical school curriculums world-wide, such as the widespread adoption of virtual learning. We sought to better understand the impact on medical students' mental health at Rocky Vista University College of Osteopathic Medicine, Parker, CO, United States. This study assessed the impact the pandemic had on anxiety and depression levels of medical students. It also assessed the impact of several domains on student mental health during the pandemic and how various sub-groups within the studied population were affected.

Methods

A cross-sectional survey was sent to students through an online anonymous google survey in May to June 2021, centered around the 7-item questionnaire used to screen for Generalized Anxiety Disorder GAD-7, 9-item questionnaire used to screen for depression PHQ-9, and self-designed questions to assess the personal impact of the pandemic. Data obtained were screened for error and analyzed with significance value of p < 0.05.

Results

A total of 152 responses were received (25.5% response rate). Of these, 64.1% identified as female, 75.8% were white, 50.3% were between ages 21-25, and 77.8% were first year medical students. During the pandemic, 79.6% of respondents felt more anxious and 65.1% felt more depressed. 67.8% of students reported feeling social isolation amidst the pandemic. Students living with friends were more likely to see a therapist for depression during the pandemic (p = 0.0169) and prescribed an antidepressant (p = 0.0394). Females and students in relationships were more likely to score higher on GAD-7 (p = 0.0194) and (p = 0.0244), respectively.

Conclusion

This study investigated the effect of the pandemic on medical students' mental health and the need to address this issue. Results suggest that the pandemic had a negative impact on medical student's mental health and that anxiety and depression levels worsened for pre-clinical medical students at Rocky Vista University. As such, it is imperative to incorporate additional resources to protect the well-being of medical students as they progress through their medical careers.

Longitudinal Mental Health Outcomes of Third-year Medical Students Rotating Through the Wards During COVID-19

This study investigated third year medical students' psychological well-being during clinical rotations at Mount Sinai hospitals in New York City during the COVID-19 pandemic. All students (n = 147) starting rotations (psychiatry, surgery, obstetrics-gynecology, neurology, pediatrics, and medicine) could participate in quarterly, online, anonymous surveys comprised of validated screeners for: psychological symptoms, risk, coping, and protective factors, demographics, COVID-19 worries, and stressful clerkship-related events. Associations between variables were examined with Chi-squared, Fisher's exact, t-, Wilcoxon Rank Sum, one-way ANOVA, and McNemar tests. Significant univariate predictors of psychological distress were included in stepwise multivariable linear regression models. The baseline survey was completed by 110 (74.8%) students; ninety-two (62.6%) completed at least one other survey. During the year, 68 (73.9%) students screened positive for depression, anxiety, or PTSD. The prevalence of psychiatric symptoms peaked in June 2020 without significant changes in average scores over time. COVID-19 worries decreased over time but did not influence psychological symptoms at year-end. Eighty-three students (90.2%) experienced stressful clerkship-related events, which were traumatic and/or COVID-19-related for 26 (28.3%) and 22 students (24.0%), respectively. Baseline psychological distress, childhood emotional abuse, and resilience predicted depression, anxiety, and/or PTSD by year-end. This study highlights the importance of recognizing psychological distress and implementing interventions to support students' well-being.

The mediating effect of self-directed learning in the relationship between caring and resilience among Chinese nursing students: A multi-center cross-sectional study

BACKGROUND

Despite the proliferation of literature focusing on resilience, a paucity of research has attempted a thorough and accurate examination of factors that contribute to resilience among nursing students.

OBJECTIVES

To examine the mediating effect of self-directed learning in the relationship between caring and resilience in Chinese nursing students.

DESIGN

A cross-sectional design.

SETTINGS

Five universities in China.

PARTICIPANTS

Undergraduate nursing students (N = 511).

METHODS

The Caring Ability Inventory, Self-Rating Scale of Self-Directed Learning, and Connor-Davidson Resilience Scale (CD-RISC) were administered. Socio-demographic and academic data were collected from nursing students after obtaining their informed consent. A multiple linear regression analysis was performed to assess factors associated with resilience. A structural equation model with bootstrapping estimation was conducted to further explore the potential mediating role of self-directed learning in the relationship between caring and resilience.

RESULTS

The average score of CD-RISC for nursing students was 92.96 ± 14.85. Multiple linear regression analyses indicated that caring and self-directed learning were significantly positively associated with resilience. Self-directed learning (β = 0.327, 95% Confidence Interval [CI]: 0.049-6.667, p < 0.001) had a significant mediating effect on the relationship between caring and resilience in nursing students, explaining 67.1% of the total effect of caring on resilience.

CONCLUSIONS

Interventions that enhance students' self-directed learning have the potential to enhance resilience level. Innovative pedagogical approaches, strategic reinforcement, and nursing curriculum transformation are recommended to promote self-directed learning awareness and internalize self-directed learning skills.

Trajectories and predictors of vicarious traumatization in Chinese college students during the COVID-19 pandemic: A longitudinal study

Objectives

This longitudinal study aimed to identify the trajectories and the predictors among sociodemographic and psychosocial variables at baseline of vicarious traumatization (VT) in Chinese college students during the COVID-19 pandemic.

Materials and methods

A total of 544 Chinese college students enrolled in a public University in central China, majored in Clinical Medicine, Nursing, Musicology, Physics, etc., participated in this longitudinal study lasting 19 months. Three-wave (wave 1: February 2020; wave 2: November 2020; wave 3: September 2021) of data were collected. Resourcefulness Scale and the 10-item Kessler scale (K10) were only assessed in the first-wave survey, and the Event Scale-Revised (IES-R) was repeatedly measured in all three-wave surveys. A link to an online survey created by Questionnaire Star (https://www.wjx.cn/) was sent to the students to collect data. The Growth mixture modeling (GMM) and multiple logistic regression were used to identify the trajectories of VT and predictors for the distinct trajectories.

Results

The incidence of VT at each wave varied from 9.9% at wave 1, 4.0% at wave 2, to 2.6% at wave 3. Three trajectories of VT were the medium-level escalating group (3.0%), medium-level maintaining group (32.3%), and the low-level descending group (64.7%). Seniors (OR = 1.575, 95% CI: 1.059-2.341; OR = 1.161, 95% CI: 1.043-1.293) and those with poor mental health status (OR = 1.101, 95% CI: 1.030-1.177; OR = 1.083, 95% CI: 1.060-1.106) at baseline were more likely to be classified into the medium-level escalating group and medium-level maintaining group, respectively. Additionally, females (OR = 3.601, 95% CI: 1.311-9.887) were more likely to be included in the medium-level escalating group.

Conclusion

Targeted psychological interventions are urgently needed for students vulnerable to VT. Further studies with more representative samples, longer period of follow-up, and predictors based on scientific theoretical framework, are needed to update the findings.

Predictors of academic performance during the covid-19 outbreak: impact of distance education on mental health, social cognition and memory abilities in an Italian university student sample

BACKGROUND

This study aimed to investigate the impact of distance education (DE) on mental health, social cognition, and memory abilities in a sample of university students during the national COVID-19 lockdown in Italy and to identify the predictors of academic performance.

METHODS

Two hundred and three students (76.4% women, mean age 24.3, SD ± 4.9) responded to an anonymous online cross-sectional survey between July 15 and September 30, 2020, on DE experience and cognitive and social-cognitive variables. A short version of the Beck Depression Inventory-II, ten images from the Eyes Task, and five memory vignette stimuli were included in the survey. Descriptive, one-way ANOVA, correlation, and logistic regression analyses were conducted.

RESULTS

Half of the student sample reported significant impairment in concentration and learning abilities during DE. Regarding psychological health, 19.7%, 27.1%, and 23.6% of the sample reported mild, moderate, and severe depressive symptoms, respectively. Correlation analyses showed a statistically significant negative association between depression and the overall subjective evaluation of DE (r =  - 0.359; p < 0.000). Changes in one's study context and habits, i.e., studying alone at one's parents' home instead of studying with colleagues or alone in a university "social place" (e.g., the university library), seemed to increase the likelihood of poor academic performance by almost 3 times (O.R. 3.918; p = 0.032). This predictor was no longer statistically significant in the subsequent step when the individual impairment predictors were entered. Learning concentration impairment during DE (O.R. 8.350; p = 0.014), anxiety about COVID-19 contagion for oneself or others (O.R. 3.363; p = 0.022), female gender (O.R. 3.141; p = 0.045), and depressive symptomatology (O.R. 1.093; p = 0.047) were ultimately determined to be the strongest predictors of poor academic performance, whereas the appreciation of DE represented a protective variable (O.R. 0.610; p < 0.000).

CONCLUSIONS

The study showed a negative impact of DE on the mental health of students presenting depressive symptoms and impairment in concentration and learning, the latter identified as the strongest predictors of poor academic performances. The study confirms the emerging need to monitor the impact of DE, which occurred during the 2019/2020 academic year and will continue in the coming months, to refine educational offerings and meet students' psychological needs by implementing psychological interventions based on the modifiable variables that seem to compromise students' psychological well-being and academic outcomes.