Investigating the Impacts of Information Overload on Psychological Well-being of Healthcare Professionals: Role of COVID-19 Stressor

Differentiating the relationships between traditional and new media use and sleep quality during the COVID-19 pandemic: roles of psychological distress and age

Background

Numerous studies have consistently demonstrated a decline in sleep quality during the COVID-19 pandemic. The primary objective of this study is to explore the impact of engaging with pertinent epidemic information through the media amid the COVID-19 crisis on individuals' sleep quality and the underlying mechanisms through which this influence operates.

Methods

An online cross-sectional study design was employed. A total of 1,063 British adults (36.2% males; M age = 38.85, SD age = 13.36, ranging from 18 to 77 years old) participated in the study and completed our questionnaires, which included media usage frequency during the pandemic, the 10-item Kessler Psychological Distress Scale (K10), the Insomnia Severity Index (ISI), and the Ten-item Personality Inventory (TIPI).

Results

Pearson's correlation analyses indicated that there was no significant correlation between COVID-19-related traditional media use (television, radio, newspaper) and psychological distress or sleep quality. However, exposure to information related to COVID-19 through new media use (Facebook, Tik Tok, Twitter) was correlated with greater psychological distress and poorer sleep quality. A moderated mediation analysis showed that psychological distress fully mediated the relationship between new media use and poor sleep, which was moderated by age, with the association between psychological distress and poor sleep quality being stronger among older adults.

Conclusion

Exposure to information of COVID-19 via new (but not traditional) media use deteriorated sleep quality through greater psychological distress, and this relationship was stronger among older adults.

Social accountability challenges and recommendations by community service rehabilitation therapists

BACKGROUND

 Social accountability entails providing equitable and accessible services that are tailor-made for the community's healthcare needs and enable rehabilitation therapists to improve the efficiency and efficacy of healthcare delivery and their response. Enabling them to provide optimal care during their community service year requires understanding the gaps in their knowledge, experience and the support they provide to the communities they service.

METHODS

 Four in-depth individual interviews and four focus group discussions were conducted via Zoom. The qualitative responses to the questions related to the challenges and recommendations associated with social accountability in clinical settings were analysed using an inductive thematic approach via NVIVO.

RESULTS

 Four sub-themes emerged for each of the two areas of interest: the challenges relating to (1) budget and equipment constraints, (2) staff shortages, (3) cultural and language barriers and (4) scope of practice limitations. The recommendations related to (5) collaboration with community caregivers, (6) service inclusion in primary health care clinics, (7) improved executive management support and (8) continuing professional development.

CONCLUSION

 Equipping graduates with the knowledge, skills and support needed to work in an under-resourced setting is essential for community service rehabilitation therapists to ensure social accountability, given that they often work alone, specifically in rural settings.Contribution: Being aware of the challenges that face community service rehabilitation therapists, having the necessary tools and health facility management support will enable ongoing improvements in their ability to provide socially accountable services.

Public mental health through social media in the post COVID-19 era

Social media is a powerful communication tool and a reflection of our digital environment. Social media acted as an augmenter and influencer during and after COVID-19. Many of the people sharing social media posts were not actually aware of their mental health status. This situation warrants to automate the detection of mental disorders. This paper presents a methodology for the detection of mental disorders using micro facial expressions. Micro-expressions are momentary, involuntary facial expressions that can be indicative of deeper feelings and mental states. Nevertheless, manually detecting and interpreting micro-expressions can be rather challenging. A deep learning HybridMicroNet model, based on convolution neural networks, is proposed for emotion recognition from micro-expressions. Further, a case study for the detection of mental health has been undertaken. The findings demonstrated that the proposed model achieved a high accuracy when attempting to diagnose mental health disorders based on micro-expressions. The attained accuracy on the CASME dataset was 99.08%, whereas the accuracy that was achieved on SAMM dataset was 97.62%. Based on these findings, deep learning may prove to be an effective method for diagnosing mental health conditions by analyzing micro-expressions.

How does self-efficacy, learner personality, and learner anxiety affect critical thinking of students

The goal of critical thinking for students is to help them learn how to think critically and systematically so they can solve problems and make informed decisions. It aids students in developing their capacity for independent thought, allowing them to generate their own conclusions and base those decisions on facts and evidence. Therefore, one of the key goals of this study was to explore the factors affecting critical thinking of English as foreign language (EFL) learners. This article used social cognitive theory (SCT) to investigate how personal and cognitive factors affect EFL learners' critical thinking. Data from 305 Chinese EFL learners were collected online, and structural equation modeling (SEM) was used to evaluate the data. The results showed that metacognitive learning strategies (MLS) were positively related to critical thinking and that self-efficacy, self-oriented learning perfectionism, and learner anxiety were significantly related to MLS. Moreover, MLS mediated the link between self-efficacy, self-oriented learning perfectionism, learner anxiety, and critical thinking. The findings further indicated that learner proactivity moderated the association between MLS and critical thinking. By applying social cognitive theory to examine the variables influencing EFL learners' critical thinking, this study adds uniqueness. It does this by emphasizing the moderating influence of learner proactivity and the mediating function of metacognitive learning strategies. The findings of the research have significant ramifications for educators since they emphasize how vital it is to support metacognitive strategies for learning in order to improve EFL learners' critical thinking abilities. Additionally, to create an atmosphere that is favorable for the development of critical thinking skills in EFL education, policymakers should think about implementing support systems and interventions that focus on learner anxiety, learner proactivity, and self-efficacy.

Association Between Pandemic Fatigue and Subjective Well-Being: The Indirect Role of Emotional Distress and Moderating Role of Self-Compassion

Objectives: As a stressor in the context of COVID-19 pandemic fatigue is associated with well-being. However, how pandemic fatigue is associated with well-being and what protective factors buffer this negative effect are under investigated. Based on the stress process model and emotion regulation theory, the study examined the indirect effect of pandemic fatigue on subjective well-being through emotional distress and the buffering effect of self-compassion. Methods: Data were collected from 1,162 university students (M _age = 21.61 ± 2.81, female 35.71%) through an online survey. Indirect effect analysis and conditional process analysis were conducted by the SPSS macro PROCESS. Results: Indirect effect of pandemic fatigue on subjective well-being through emotional distress was identified and self-compassion moderated the association between pandemic fatigue and emotional distress. The indirect effect of pandemic fatigue was weaker among participants with high levels of self-compassion than among those with low levels of self-compassion. Conclusion: Pandemic fatigue was negatively associated with subjective well-being through emotional distress at all levels of self-compassion. The findings deepen our understanding of the link between pandemic fatigue and well-being while considering the indirect role of emotional distress and protective function of self-compassion.

Students are at risk? Elucidating the impact of health risks of COVID-19 on emotional exhaustion and academic performance: role of mindfulness and online interaction quality

Although previous online learning studies have looked at how student outcomes are influenced in different settings, this study is unique in that it looks at the role of COVID-19 as a particular stressor. This study discussed how students' perceptions of health risks of COVID-19 (PHRC) influenced their academic performance through emotional exhaustion. This study also looked at how mindfulness and online interaction quality (OIQ) affected PHRC's direct effects on exhaustion, as well as PHRC's indirect effects on academic performance via exhaustion. The data for the current study were collected from 336 students in three waves who were studying online during COVID-19. The results through structural equation modeling (SEM) revealed that PHRC influenced academic performance. The results further revealed that mindfulness and OIQ attenuated the direct effects of PHRC on emotional exhaustion as well as indirect effects on academic performance through emotional exhaustion. This study provides some novel implications for practice and research.

Social media use for coping with stress and psychological adjustment: A transactional model of stress and coping perspective

Introduction

The psychological well-being of individuals has become an essential issue during the global pandemic. As a pervasive activity for individuals to pull through COVID-19, social media use may play a role in psychological well-being. Drawing on the transactional model of stress and coping, the current study investigated the relationships between COVID-19-related stressors and the use of social media to facilitate specific coping strategies. We further investigated how social media coping strategies impact users' psychological adjustment.

Methods

We collected the data from 641 quarantined residents through a two-wave survey that was conducted in two cities in China during government-mandated lockdowns.

Results

The results showed that perceived COVID-19 stress was related to the intensity of social media use for problem-focused coping, socioemotional coping, and mental disengagement. In addition, individuals' psychological adjustment was positively associated with social media use for socioemotional coping and mental disengagement while negatively related to problem-focused coping. Age was also found to be a moderator of the relationship between socioemotional coping and psychological adjustment.

Discussion

To relieve pandemic-related stress, individuals can actively utilize social media to implement various coping strategies. However, coping activities with social media may not always induce psychological benefits. By revealing the different levels of psychological adjustment among social media users with specific coping strategies, the current research enriched the literature on the effects of social media use on mental health. Findings from this study suggest the need for the prudent use of social media to cope with public health crises.