A National Study of Zoom Fatigue and Mental Health During the COVID-19 Pandemic: Implications for Future Remote Work

Participant attrition from statewide, population-based Survey of the Health of Wisconsin into the longitudinal SHOW COVID-19 cohort

PURPOSE

Longitudinal studies are essential for examining how social and institutional determinants of health, historical and contemporary, affect disparities in COVID-19 related outcomes. The unequal impacts of COVID-19 likely exacerbated selected attrition in longitudinal research. This study examines attrition and survey mode effects in the SHOW COVID-19 study which recruited from a statewide, representative cohort.

MATERIALS & METHODS

Participants were recruited from the Survey of the Health of Wisconsin (SHOW) cohort. Online surveys, or phone interviews, were administered at three timepoints during 2020-2021. The surveys captured social, behavioral, and structural determinants of health and the lived experience. Univariate and multivariate logistic regression was used to examine predictors of participation and survey mode effects.

RESULTS

A total of 2304 adults completed at least one COVID-19 online survey. Participants were more educated, older, and more likely to be female, married, non-Hispanic, and White compared to non-participants. Phone participants were older, less educated, and more likely be non-White, food insecure, and have co-morbidities compared to online participants. Mode effects were seen with reporting COVID-19 beliefs, loneliness, and anxiety.

CONCLUSION

The SHOW COVID-19 cohort offers unique longitudinal data but suffered from selected attrition. Phone interview is an important mode for retention and representation.

Does Self-View Mode Generate More Videoconferencing Fatigue in Women than Men? An Experiment Using EEG Signals

The ability to see or hide one's own image is a typical feature of videoconferencing platforms. Previous research, informed primarily by self-reported data, has suggested that enabling self-view mode is associated with videoconferencing fatigue, particularly for women. Our goal in this study is to test this assumption by gathering neurophysiological evidence. We conducted an experiment using electroencephalography (EEG) with 32 volunteers (16 men and 16 women), who each participated in a live video meeting with the self-view mode both on and off. Our findings confirm the effects of self-view on fatigue, with significantly greater alpha activity when self-view was on than when it was off. Alpha activity did not change significantly across a 20-minute session, and was not significantly different for men or women. Thus, our study does not replicate previous findings that women experience greater videoconferencing fatigue because of the increased self-awareness generated when viewing themselves on a screen. We discuss why our EEG findings may diverge from prior self-reported studies.

The new normal: a review of the impact of COVID-19 on gastroenterology fellowship training

The COVID-19 pandemic had a significant impact on medical education and gastroenterology fellowship training. As a result of the pandemic, a trainee's physical safety, mental health and wellness, clinical and procedural training, and educational opportunities were all potentially altered. Changes necessitated at the start of the pandemic were different than those needed further along in the pandemic course. Fellowship programs were required to modify policies and adapt to changes rapidly to advocate for their trainees and ensure quality education. Much of COVID-19's initial impact on education - decreased endoscopic procedures and the loss of educational conferences - has largely returned to pre-pandemic form. However, other changes made during the pandemic have persisted and likely will continue in the future. This includes a virtual interview format for fellowship matches, a virtual option for many national conferences, and an expansion of simulation training. This article reviews the impact that COVID-19 had on medical education with a specific focus on gastroenterology fellowship. The paper highlights the initial impact of COVID-19, the lingering effects, and discusses the areas needed for further research to best understand the total impact COVID-19 had on our trainees' education.

Preliminary Efficacy of a Multi-Behavioral Zoom-Based Peer Health Coaching Intervention in Young Adults: A Stepped Wedge Randomized Controlled Trial

The purpose of this study was to test the preliminary efficacy of a Zoom-based peer coaching intervention on health and risk behaviors in young adults. A convenience sample of young adults was recruited from one U.S. university (N = 89; 73.0 percent female). Participants were randomized to one of two coaching session sequences within the framework of a stepped wedge randomized controlled trial. One experimental sequence received a control condition and a single coaching session, and the second sequence received two sessions. The intervention was a 1-hour program delivered by peer health coaches in a one-on-one setting on Zoom. The program consisted of a behavior image screen, a consultation, and goal planning. Behavioral assessments were completed after each condition. Mixed-effects models were employed to test for behavior differences after coaching sessions compared with the control condition (no coaching session) adjusting for baseline scores. Participants reported significantly higher levels of vigorous physical activity (b = 750 metabolic equivalent of task minutes, p < 0.001), a lower frequency of e-cigarette use (b = -2.1 days; p < 0.001), and a lower risk of e-cigarette susceptibility after two sessions (relative risk = 0.04, p = 0.05), and higher odds of using stress reduction techniques after one session (odds ratio = 1.4, p = 0.04). A nonsignificant trend was observed for longer weekday sleep (b = 0.4 h/night, p = 0.11) after two coaching sessions. The Zoom-based peer health coaching intervention may be an efficient way to improve vigorous physical activity, lower e-cigarette use and susceptibility, and facilitate the use of stress reduction techniques in young adults. The results observed from this preliminary study warrants further investigation using powered effectiveness trials.

Investigating autistic traits, social phobia, fear of COVID-19, and internet use disorder variables in the context of videoconference fatigue

In response to the coronavirus disease 2019 (COVID-19) pandemic, many individuals turned to synchronous online video communication technologies as a substitute for real-world face-to-face interactions. Evidence indicates that some users of such technologies show symptoms of exhaustion and fatigue during and after videoconferences (VCs) – this phenomenon is referred to as Videoconference Fatigue (VC fatigue). Research characterizing the possible vulnerability factors for VC fatigue is still scarce and considered to be in its early stage. Contributing to closing this gap in the existing literature is the motivation for the present study. Survey data was collected from 311 German-speaking participants to explore the relationships of VC fatigue with several psychological factors including autistic traits, social phobia, Fear of COVID-19, tendencies towards Internet Use Disorders (IUD tendencies), and Fear of Missing Out (FoMO, trait and state variables). Results showed that VC fatigue was significantly positively correlated with all of these psychological factors except state-FoMO, and corss-sectional mediation analyses provided further evidence for the positive association between autistic traits and VC fatigue. Specifically, the relationship between autistic traits and VC fatigue was mediated by Fear of COVID-19 and IUD tendencies rather than social phobia, with the latter being a preregistered hypothesis. This study adds to the literature by revealing several possible vulnerability factors associated with VC fatigue. In essence, the present work sheds light on the complex association between autistic traits and VC fatigue. We discuss the implications of our study as well as its limitations and potential avenues for future research.

Engaging diverse populations in aging research during the COVID-19 pandemic: Lessons learned from four National Institutes of Health funded-Centers

Background

The COVID-19 pandemic's impact on our personal and professional lives required a rapid adaptation to the evolving health crisis and accumulating social stresses. Established measures to reduce the spread of infection and potential death had a direct effect on ongoing research that involved older adults and underrepresented racial/ethnic groups. Although important to preserve public health, these measures risk further isolation of vulnerable research participant populations and threatened established community partnerships. To address the social and research challenges evolving from the COVID-19 pandemic, four National Institutes of Health funded-Centers that engage with community members to enhance research and advance the science of aging came together to learn from each other's efforts, approaches, and communication with community partners.

Methods

Monthly meetings served as a venue to discuss the challenges of engagement with research participants and support community partners during the pandemic. The developed learning community also contributed to recognize and address research staff stress and isolation. We describe how these conversations led our Centers to address unprecedented challenges and sustain community engagement within diverse populations, especially Black/African Americans, Latinos, Middle Eastern/Arab Americans and the oldest-old.

Results

The exchange of information resulted in maintaining long standing community relationships and partnerships in the face of the uncertainties generated by the pandemic. The strategies included adapting education programs to reduce risk of infection, recognizing symptoms, promoting vaccination and understanding of the effect of COVID-19 to the brain. Different strategies were used to address the effects of isolation and maintain community engagement. Although new research participant enrollment was a challenge, telephone and virtual visits allowed research participants to remain active in research. Community members participation in virtual learning events was variable, ranging from a dozen to hundreds of participants. Invitations to organize panels about newly developed topics indicated the need for information from trusted sources.

Conclusion

In sum, the COVID-19 pandemic re - directed all four Centers' commitment to community service led to developing strategies for social support, which will potentially contribute to transforming public perceptions about research and researchers.

Technologically-assisted communication attenuates inter-brain synchrony

The transition to technologically-assisted communication has permeated all facets of human social life; yet, its impact on the social brain is still unknown and the effects may be particularly intense during periods of developmental transitions. Applying a two-brain perspective, the current preregistered study utilized hyperscanning EEG to measure brain-to-brain synchrony in 62 mother-child pairs at the transition to adolescence (child age; M = 12.26, range 10-14) during live face-to-face interaction versus technologically-assisted remote communication. The live interaction elicited 9 significant cross-brain links between densely inter-connected frontal and temporal areas in the beta range [14-30 Hz]. Mother's right frontal region connected with the child's right and left frontal, temporal, and central regions, suggesting its regulatory role in organizing the two-brain dynamics. In contrast, the remote interaction elicited only 1 significant cross-brain-cross-hemisphere link, attenuating the robust right-to-right-brain connectivity during live social moments that communicates socio-affective signals. Furthermore, while the level of social behavior was comparable between the two interactions, brain-behavior associations emerged only during the live exchange. Mother-child right temporal-temporal synchrony linked with moments of shared gaze and the degree of child engagement and empathic behavior correlated with right frontal-frontal synchrony. Our findings indicate that human co-presence is underpinned by specific neurobiological processes that should be studied in depth. Much further research is needed to tease apart whether the "Zoom fatigue" experienced during technological communication may stem, in part, from overload on more limited inter-brain connections and to address the potential cost of social technology for brain maturation, particularly among youth.

Clinical characteristics and analysis of risk factors for disease progression of patients with SARS-CoV-2 Omicron variant infection: A retrospective study of 25207 cases in a Fangcang hospital

OBJECTIVES

To summarize the clinical characteristics of patients infected by SARS-CoV-2 omicron variant and explore the risk factors affecting the progression in a Fangcang hospital, Shanghai, China.

METHODS

A total of 25,207 patients were retrospectively enrolled. We described the clinical characteristics and performed univariate and multivariate logistic regression analysis to identify the risk factors for non-severe to severe COVID-19 or death.

RESULTS

According to the outcomes, there were 39 severe patients (including 1 death) and 25,168 non-severe patients enrolled in this study. Among the 25,207 cases, the median age was 45 years (IQR 33-54), and 65% patients were male. Cough (44.5%) and expectoration (38.4%) were the most two common symptoms. Hypertension (10.4%) and diabetes (3.5%) were most two common comorbidities. Most patients (81.1%) were fully vaccinated. The unvaccinated and partially vaccinated patients were 15.1% and 3.9%, respectively. The length of viral shedding time was six days (IQR 4-9) in non-severe patients. Multivariate logistic regression analysis suggested that age (OR=1.062, 95%CI 1.034-1.090, p&lt;0.001), fever (OR=2.603, 95%CI 1.061-6.384, p=0.037), cough (OR=0.276, 95%CI 0.119-0.637, p=0.003), fatigue (OR=4.677, 95%CI 1.976-11.068, p&lt;0.001), taste disorders (OR=14.917, 95%CI 1.884-118.095, p=0.010), and comorbidity (OR=2.134, 95%CI 1.059-4.302, p=0.034) were predictive factors for deterioration of SARS-CoV-2 omicron variant infection.

CONCLUSIONS

Non-critical patients have different clinical characteristics from critical patients. Age, fever, cough, fatigue, taste disorders, and comorbidity are predictors for the deterioration of SARS-CoV-2 omicron variant infection.