Psychological symptoms, mental fatigue and behavioural adherence after 72 continuous days of strict lockdown during the COVID-19 pandemic in Argentina

Exploring Risk Perception, Mental Health, Mental Fatigue, Stigma, and the Quality of Life among UAE Healthcare Workers during the COVID-19 Pandemic: A National Multicentric Cross-Sectional Study

Globally, the COVID-19 pandemic has presented serious mental health challenges for healthcare professionals. This study investigated the mental health, mental fatigue, quality of life, and stigma of social discrimination among healthcare workers in the United Arab Emirates (UAE) during the COVID-19 pandemic. A correlational, cross-sectional, multi-centric design was employed to collect data from 1383 healthcare workers across various healthcare settings. Participants were recruited using combined cluster and purposive sampling techniques. Standardized questionnaires, including the COVID-19 Pandemic Mental Health Questionnaire (CoPaQ), the Mental Fatigue Scale (MFS), the Social Discrimination Scale-Stigma Subscale (SDS), and the WHO Quality of Life Questionnaire-Brief (WHOQOL-BREF), were administered to assess the study variables. The results indicated significant mental health impacts, with high average scores for post-traumatic stress disorder (PTSD) (9.37 ± 6.74) and positive coping by inner strengths (17.63 ± 5.72). Mental fatigue was prevalent (8.15 ± 8.62), and stigma of social discrimination scored notably (23.83 ± 7.46). Quality of life was the highest in the social domain (65.38 ± 24.58). Significant correlations were observed between mental health subscales, mental fatigue, and quality of life domains. These findings highlight the critical need for targeted mental health support programs, improved social support networks, and personalized interventions to mitigate the mental health challenges faced by healthcare workers. Healthcare organizations can guarantee a resilient workforce that can handle future health crises by giving mental health resources and support systems top priority.

The Influence of Changes in Daily Life Habits and Well-Being on Fatigue Level During COVID-19 Pandemic

The COVID-19 pandemic and its lockdown in March 2020 have led to changes in lifestyle and increased levels of anxiety, depression, and fatigue. This survey examined a number of factors (anxiety state, sleep quality, daily activities, mental load, work-related variables) influencing mental and physical fatigue during lockdown and how these relations have evolved one year later. A cohort of 430 workers and 124 retirees were recruited in April-May 2020 (lockdown period, data set 1), and a subsample (133 workers and 40 retirees) completed the same questionnaire in April-May 2021 (data set 2). Linear regression models showed a significant subjective increase in both physical and mental fatigue in both worker and retiree groups during lockdown, and a supplementary increase in physical fatigue and anxiety level in spring 2021 compared to the lockdown period. During lockdown, anxiety level, concerns about COVID-19, work flexibility, mental load, and sleep metrics were associated with the evolution of fatigue among workers. For retirees, only anxiety and physical activity levels were linked to changes in physical fatigue. In April-May 2021, the only associations which remained significant were those in workers between fatigue and anxiety level and workload. These findings suggest that the increased fatigue levels during the lockdown are likely due to the swift and significant changes in daily routines (such as sleep patterns and work dynamics) and psychological states (including increased anxiety and concerns) prompted by the sanitary crisis. On the other hand, the increase in fatigue observed one year after the beginning of the pandemic seems to result from more psychological factors associated with the health situation.

SARS-CoV-2 infection is associated with physical but not mental fatigue - Findings from a longitudinal controlled population-based study

OBJECTIVE

Fatigue has been identified as the core symptom of long-Covid, however, putative pandemic-related influences remain largely unclear. We investigated trajectories of total, physical and mental fatigue and the factors associated with it in previously infected and non-infected individuals up to one year post- infection.

METHODS

We used data from a longitudinal cohort study of German adults with two samples: A representative probability sample and a sample of individuals with proven SARS-CoV-2 infection. Surveys were conducted in spring 2020(T1), autumn 2020(T2) and summer 2021(T3). Fatigue was assessed using the FAS, distinguishes between physical and mental fatigue. Depression, anxiety and stress were assessed using PHQ-4 and PSQ.

RESULTS

1990 participants [mean age 47.2 (SD = 17.0), 30.5% previously infected] were included in the survey at T1 (n = 1118 at T2, n = 692 at T3). Total and physical fatigue, but not mental fatigue were significantly higher in the previously infected compared to the non-infected sample at T2, but this group difference disappeared at T3. We identified Covid-infection as a factor associated with transient total and physical fatigue at T2. Depression, anxiety and stress at T1 were associated with total, physical and mental fatigue at both follow-ups.

CONCLUSIONS

Our results highlight the importance of considering physical and mental fatigue as separate entities, while suggesting a greater relevance of the physical signs of fatigue in understanding long-Covid. The results further showed that baseline mental health symptoms were the most strongly associated with fatigue trajectories.

Predictors and moderators of COVID-19 pandemic fatigue in Hong Kong

BACKGROUND

Anti-pandemic fatigue has inevitably set in owing to the high intensity and prolonged presence of pandemic preventive measures. Globally, COVID-19 remains severe; however, pandemic fatigue may lead to less efficient viral control.

METHODS

A total of 803 participants residing in Hong Kong interviewed via telephone using a structured questionnaire. Linear regression was employed to test the corelates of anti-pandemic fatigue and the moderators that could potentially impact the appearance of fatigue.

RESULTS

When confounding effects of demographic factors (e.g., age, gender, educational attainment, and economic activity status) were avoided, daily hassles were found to be a core factor associated with anti-pandemic fatigue (B =0.369, SE =0.049, p = 0.000). For people with a higher level of pandemic-related knowledge and fewer obstacles brought about by preventive measures, the impact of daily hassles on pandemic fatigue weakened. Moreover, when pandemic-related knowledge was high, there was no positive association between adherence and fatigue.

CONCLUSIONS

This study confirms that daily hassles can lead to anti-pandemic fatigue, which can be mitigated by improving the general public's understanding of the virus and developing more convenient measures.

Cognitive and Psychological Recovery Patterns Across Different Care Pathways 12 months after hospitalization for COVID-19: A Multicenter Cohort Study (CO-FLOW)

BACKGROUND

The comparison of recovery patterns for different care pathways following COVID-19 is necessary for optimizing rehabilitation strategies.

OBJECTIVES

To evaluate cognitive and psychological outcomes across different care pathways up to 12 months after hospitalization for COVID-19.

METHODS

CO-FLOW is an ongoing multicenter prospective cohort study with assessments at 3, 6, and 12 months after hospitalization for COVID-19. The main outcomes are cognitive deficits (Montreal Cognitive Assessment, score <26), cognitive failure (Cognitive Failure Questionnaire, score >43), posttraumatic stress disorder (PTSD; Impact of Event Scale-Revised, score ≥33), and anxiety and depression (Hospital Anxiety and Depression Scale, subscale score ≥11).

RESULTS

In total, data from 617 participants were analyzed. Mean age was 59.7 (SD 11.4) years and 188 (31%) were female. Significant recovery occurred within the first 6 months post-discharge (p ≤ 0.001). Cognitive deficits persisted in 21% (101/474), and psychological problems in 15% (74/482) of people at 12 months. Significantly improved cognition scores were reported for people who did not receive rehabilitation ('No-rehab'; 124/617, 20%; mean difference, MD 2.32, 95% CI 1.47 to 3.17; p<0.001), those who received community-based rehabilitation ('Com-rehab'; 327/617, 53%; MD 1.27, 95% CI 0.77 to 1.78; p<0.001), and those who received medical rehabilitation ('Med-rehab'; 86/617, 14%; MD 1.63, 95% CI 0.17 to 3.10; p = 0.029). Med-rehab participants experienced more cognitive failure from 3 to 6 months (MD 4.24, 95% 1.63 to 6.84; p = 0.001). Com-rehab showed recovery for PTSD (MD -2.43, 95% -3.50 to -1.37; p<0.001), anxiety (MD -0.67, 95% -1.02 to -0.32; p<0.001), and depression (MD -0.60, 95% -0.96 to -0.25; p<0.001), but symptoms persisted at 12 months.

CONCLUSIONS

Survivors of COVID-19 showed cognitive and psychological recovery, especially within the first 6 months after hospitalization. Most persistent problems were related to cognitive functioning at 12 months. Recovery differed rehabilitation settings. Additional cognitive or psychological support might be warranted in people who medical or community-based rehabilitation.

'Now you will understand what it is like to be confined': Did COVID-19 lockdowns affect perceptions about long-term psychiatric hospitalizations? A report from Argentina

BACKGROUND

Lockdowns have been one of the government's primary measures to control COVID-19, especially during the initial waves of the pandemic, but there is concern on the impact of lockdowns on people's mental health. Confinement is still today the reality of many people with severe mental illness in many places of the world.

OBJECTIVE

Given that the general population experienced confinement during the COVID-19 pandemic, we sought to explore if that affected perceptions about long-term psychiatric hospitalizations.

METHODS

About 134 residents from middle-class neighborhoods in urban settings in the Province of Buenos Aires, Argentina, were surveyed. Participants were asked if they felt emotionally affected by the pandemic and lockdown, and about their perceptions of long-term psychiatric hospitalizations. Association between personal emotional impact by the pandemic or lockdown with perceptions about long-term psychiatric hospitalization were analyzed using chi-square test. Qualitative analysis of pandemic and lockdown effects was held.

RESULTS

Respondents tended to overlap the emotional effects of the pandemic and the lockdown. Some responses explicitly referred to confinement. No association was observed between emotional impact by the pandemic or lockdown and perceptions about long-term psychiatric hospitalization among the sample. The general population's perceptions of long-term psychiatric hospitalization do not appear to be affected by the first-hand experience of confinement, which suggest persistence of stigma, and the need to reconsider public policies and actions that attempt to impact on it.

Prevalence and correlates of subjective cognitive concerns in Australian university students during the COVID-19 pandemic

Introduction

Coronavirus (COVID-19) instigated unprecedented global effects on healthcare systems, economies, employment, education, travel, and social lives. In addition to increased mental health challenges, pandemic restrictions have triggered emerging cognitive concerns. University students are at particularly high risk of adverse lockdown-related effects, yet despite the substantial adaptions to learning necessitated by COVID-19, limited research has so far focused on the cognitive consequences of the pandemic among university students. This study aimed to comprehensively examine the nature, prevalence, and correlates of subjective cognitive concerns among 972 students (Median age = 22 years, 70% female) enrolled at Monash University, Australia, in December 2020.

Methods

Students completed the online THRIVE@Monash survey, 5 weeks following prolonged lockdown in Melbourne. Using group comparisons and hierarchical binary logistic regression analyses, we examined associations between demographic and enrolment characteristics, COVID-19-related experiences and impacts (author-developed questions), self-reported anxiety and depression symptoms (PROMIS Anxiety and Depression scales), and students' perceived changes in everyday cognitive functions (author-developed questions).

Results

Over 60% of students reported subjective cognitive concerns (SCCs). After controlling for anxiety and depression symptoms, students reporting more SCCs were more likely to be younger, from White/European ethnic backgrounds, and in their first year of undergraduate study. No differences in SCCs were found between male and female students. Greater worry, anxiety, or stress related to COVID-19 (e.g., infection, leaving the house, hygiene and exposure prevention, impact on physical and mental health), and time spent reading or talking about COVID-19, were generally not associated with SCCs after controlling for anxiety and depression symptoms.

Discussion

These findings highlight vulnerable subgroups of students who might benefit from regular monitoring, education, and interventions to support their cognitive health during the pandemic and beyond. In addition, cognitive concerns may provide additional insight into mental health problems among students, and emphasize the importance of understanding factors that impact students' long-term academic and career success.

Physical, psychological and pandemic fatigue in the fourth wave of COVID-19 outbreak in Hong Kong: population-based, cross-sectional study

OBJECTIVES

To examine the physical, psychological and pandemic fatigue during the COVID-19 pandemic, and to explore the correlates of fatigue using a representative, population-based, community sample of Chinese adults in Hong Kong.

DESIGN

Cross-sectional study.

SETTING

Telephone surveys in Hong Kong from December 2020 to January 2021 (during the fourth wave of COVID-19 outbreak).

PARTICIPANTS

1255 adults living in Hong Kong aged 18 years or older sampled using a multistage approach (53% women).

MAIN OUTCOME MEASURES

Physical and psychological fatigue: The Fatigue Assessment Scale (with a cut-off score of 22). Pandemic fatigue: Adherence to six disease prevention measures (DPM) recommended by the government.

RESULTS

About 25.7% of the participants were feeling fatigued physically and psychologically. Physical and psychological fatigue was not directly associated with pandemic fatigue, and their association was fully mediated by self-perceived disruptions of COVID-19-related restrictions in daily life. Results from the hierarchical regression analysis showed that higher levels of fatigue were associated with economically inactive status (B=0.18, SE=0.04, p<0.001), having family or friend infected with COVID-19 before or during the study (B=0.17, SE=0.01, p<0.001), lower acceptability of DPM (B=-0.16, SE=0.03, p<0.001), greater disruptions in daily life (B=0.22, SE=0.02, p<0.001), and greater trust in authorities in ending the pandemic (B=0.11, SE=0.02, p<0.001).

CONCLUSIONS

Fatigue affected many individuals during the pandemic. Disruptions of DPM in daily life may serve as a mediator in the association between pandemic fatigue and physical and psychological fatigue, reflecting the need of effective interventions to reduce self-perceived disruptions of COVID-19-related restrictions in the general population. Resources should be allocated to provide sufficient services to individuals vulnerable to fatigue during the prolonged pandemic.

Adaptive responding to prolonged stress exposure: A binational study on the impact of flexibility on latent profiles of cognitive, emotional and behavioural responses to the COVID-19 pandemic

The high level of uncertainty brought about by the COVID-19 pandemic has affected the general population's well-being and capacity for adaptive responding. Studies indicate that flexibility, defined as the ability to choose and employ a variety of emotional, cognitive and behavioural strategies in accordance with changing contextual demands, may significantly contribute to adaptive responding to long-term stressors such as COVID-19. In the current study, we aimed to investigate which facets of flexibility predict different latent profiles of adaptive responding to the COVID-19 pandemic in Israel and Germany. A total of 2330 Israelis and 743 Germans completed online questionnaires measuring cognitive and coping regulatory flexibility and cognitive, emotional and behavioural responding to the COVID-19 pandemic. Analyses revealed three distinct response profiles in each country (high, medium and low). These profiles differed in both anxiety and depression symptoms with the non-adaptive response group experiencing clinically relevant symptoms both in Israel and Germany. Additionally, cognitive flexibility and coping flexibility emerged as significant predictors of response profiles in both countries. Training cognitive and coping flexibility may thus help individuals respond more adaptively to psychosocial stressors such as COVID-19. Such training could be selectively administered to less flexible subpopulations as well as adapted to the specific population characteristics.

An Investigation of temporomandibular pain, headache, and fatigue in relation with long-term mask use during the COVID-19 pandemic period

OBJECTIVE

To investigate the effects of long-term mask use on temporomandibular pain, headache, and fatigue during the COVID-19 pandemic period via a survey.

METHODS

The survey was sent online, and symptoms associated with mask use, perception of mask discomfort, temporomandibular dysfunction, fatigue, headache, and trigger points of temporomandibular joint were evaluated.

RESULTS

For the study, 909 people were screened. Head, neck, face, throat, ear, and jaw pain, cheek tension, teeth clamping, acne, mask trace, palpitation, and voice and sleep disorders were different between groups (p < 0.05). The individuals' temporomandibular dysfunction and fatigue were different between groups (p < 0.05).

CONCLUSION

Long-term mask use can cause many symptoms, such as headache, jaw pain, and fatigue. Furthermore, increased mask-wearing time can trigger all these symptoms. The authors recommend relaxing breaks and exercises for neck, jaw, and face muscles along with the use of appropriate masks to minimize negative symptoms.

The COLIBAS Study—COVID-19 Lockdown Effects on Mood, Academic Functioning, Alcohol Consumption, and Perceived Immune Fitness: Data from Buenos Aires University Students

A recent study was conducted in the Netherlands to evaluate the impact of the 2019 coronavirus (COVID-19) pandemic and its associated lockdown periods on academic functioning, mood, and health correlates such as alcohol consumption. The study revealed that lockdowns were associated with a significantly poorer mood and a reduced perceived immune fitness. Overall, a reduction was seen in alcohol consumption during the lockdown periods. Academic functioning in terms of performance was unaffected; however, a significant reduction in interactions with other students and teachers was reported. There was, however, great variability between students as follows: both an increase and a reduction in alcohol consumption were reported, as well as improvements and poorer academic functioning. The aim of the current online study was to replicate these findings in Argentina. To this extent, a modified version of the survey was conducted among students at the University of Buenos Aires, which was adapted to the local lockdown measures. The survey assessed possible changes in self-reported academic functioning, mood, and health correlates, such as alcohol consumption, perceived immune functioning, and sleep quality compared to before the COVID-19 pandemic. Retrospective assessments were made for four periods, including (1) the period before COVID-19, (2) the first lockdown period (March–December 2020), (3) summer 2021 (January-March 2021, no lockdown), and (4) the second lockdown (from April 2021 to July 2021). This article describes the content of the survey and the corresponding dataset. The survey was completed by 508 participants.

Does COVID-19 related symptomatology indicate a transdiagnostic neuropsychiatric disorder? - Multidisciplinary implications

The clinical presentation that emerges from the extensive coronavirus disease 2019 (COVID-19) mental health literature suggests high correlations among many conventional psychiatric diagnoses. Arguments against the use of multiple comorbidities for a single patient have been published long before the pandemic. Concurrently, diagnostic recommendations for use of transdiagnostic considerations for improved treatment have been also published in recent years. In this review, we pose the question of whether a transdiagnostic mental health disease, including psychiatric and neuropsychiatric symptomology, has emerged since the onset of the pandemic. There are many attempts to identify a syndrome related to the pandemic, but none of the validated scales is able to capture the entire psychiatric and neuropsychiatric clinical presentation in infected and non-infected individuals. These scales also only marginally touch the issue of etiology and prevalence. We suggest a working hypothesis termed Complex Stress Reaction Syndrome (CSRS) representing a global psychiatric reaction to the pandemic situation in the general population (Type A) and a neuropsychiatric reaction in infected individuals (Type B) which relates to neurocognitive and psychiatric features which are part (excluding systemic and metabolic dysfunctions) of the syndrome termed in the literature as long COVID. We base our propositions on multidisciplinary scientific data regarding mental health during the global pandemic situation and the effects of viral infection reviewed from Google Scholar and PubMed between February 1, 2022 and March 10, 2022. Search in-clusion criteria were "mental health", "COVID-19" and "Long COVID", English language and human studies only. We suggest that this more comprehensive way of understanding COVID-19 complex mental health reactions may promote better prevention and treatment and serve to guide implementation of recommended administrative regulations that were recently published by the World Psychiatric Association. This review may serve as a call for an international investigation of our working hypothesis.

Risk perception, but also political orientation, modulate behavioral response to COVID-19: A randomized survey experiment

Prior work has shown that accurately perceiving the risk for COVID-19 is associated with higher adherence to protective health behaviors, like face mask use, and more acceptance of governmental restrictive measures such as partial or complete banning of indoor activities and social gatherings. In this study we explored these associations at the beginning of the second wave of COVID-19 in Argentina through a national representative probabilistic survey that evaluated personal and contextual risk perception, self-reported compliance with protective health behaviors, attitude to governmental restrictive measures, and political orientation and psychological distress as potential modulators. Also, going beyond measures of association, here we sought to test whether messages highlighting potential risks increased acceptance of restrictive measures. Three types of messages were randomized to the participants. Two messages conveyed risk-related content (either through emotional arousal or cognitive appraisal) and the third a prosocial, altruistic content. Between March 29th and 30th, 2021, 2,894 participants were recruited (57.57% female). 74.64% of those surveyed evaluated the current health situation as “quite serious” or “very serious” and 62.03% estimated that the situation will be “worse” or “much worse” in the following 3 months. The perception of personal risk and the level of adherence to protective behaviors gradually increased with age. Through a regression model, age, perceived personal risk, and contextual risk appraisal were the variables most significantly associated with protective behaviors. In the case of the acceptance of restrictive measures, political orientation was the most associated variable. We then found messages aimed at increasing risk perception (both emotionally or cognitively focused) had a significantly greater effect on increasing the acceptance of restrictive measures than the prosocial message, mainly for government supporters but also for non-supporters. However, the level of response was also modulated by the political orientation of the participants. We propose a mechanism of “ideological anchoring” to explain that participants were responsive to risk modulation, but within the limits established by their pre-existent political views. We conclude that messages highlighting risk can help reinforce the acceptance of restrictive measures even in the presence of polarized views, but must be calibrated by age and political orientation.

Machine Learning-Based Prediction Models for Depression Symptoms Among Chinese Healthcare Workers During the Early COVID-19 Outbreak in 2020: A Cross-Sectional Study

BACKGROUND

The 2019 novel coronavirus (COVID-19)-related depression symptoms of healthcare workers have received worldwide recognition. Although many studies identified risk exposures associated with depression symptoms among healthcare workers, few have focused on a predictive model using machine learning methods. As a society, governments, and organizations are concerned about the need for immediate interventions and alert systems for healthcare workers who are mentally at-risk. This study aims to develop and validate machine learning-based models for predicting depression symptoms using survey data collected during the COVID-19 outbreak in China.

METHOD

Surveys were conducted of 2,574 healthcare workers in hospitals designated to care for COVID-19 patients between 20 January and 11 February 2020. The patient health questionnaire (PHQ)-9 was used to measure the depression symptoms and quantify the severity, a score of ≥5 on the PHQ-9 represented depression symptoms positive, respectively. Four machine learning approaches were trained (75% of data) and tested (25% of data). Cross-validation with 100 repetitions was applied to the training dataset for hyperparameter tuning. Finally, all models were compared to evaluate their predictive performances and screening utility: decision tree, logistics regression with least absolute shrinkage and selection operator (LASSO), random forest, and gradient-boosting tree.

RESULTS

Important risk predictors identified and ranked by the machine learning models were highly consistent: self-perceived health status factors always occupied the top five most important predictors, followed by worried about infection, working on the frontline, a very high level of uncertainty, having received any form of psychological support material and having COVID-19-like symptoms. The area under the curve [95% CI] of machine learning models were as follows: LASSO model, 0.824 [0.792-0.856]; random forest, 0.828 [0.797-0.859]; gradient-boosting tree, 0.829 [0.798-0.861]; and decision tree, 0.785 [0.752-0.819]. The calibration plot indicated that the LASSO model, random forest, and gradient-boosting tree fit the data well. Decision curve analysis showed that all models obtained net benefits for predicting depression symptoms.

CONCLUSIONS

This study shows that machine learning prediction models are suitable for making predictions about mentally at-risk healthcare workers predictions in a public health emergency setting. The application of multidimensional machine learning models could support hospitals' and healthcare workers' decision-making on possible psychological interventions and proper mental health management.