Managing Uncertainties in Human Resource Management during the COVID-19 Pandemic

This study aimed at providing information to help HR practitioners understand the uncertainties caused by COVID-19 by addressing questions on what certainties are faced by HR practitioners in the education sector;what factors are seen as stressors, what characteristics need to be developed, and what solutions are proposed to overcome uncertainties in this pandemic of COVID-19. This qualitative study used a cross-sectional survey design. Electronic questionnaires were employed to collect qualitative data from 40 respondents based on purposive sampling. The study reveals that there are various types of uncertainties faced by HR managers or practitioners, ranging from organization operation to the ability to predict employees' plans and actions. The main stressor during the pandemic is employees' safety perceptions of threats and risk of COVID-19 transmission. Others are the drastic change in the way of work and job insecurity and lack of valid information about COVID-19. Resilience, tolerance, and curiosity are the qualities that need to be developed by HR managers or practitioners. To overcome the uncertainties, HR Managers and practitioners could provide training on technology and competency development as the best strategy to overcome the uncertainties. Optimizing channels of communication, preparing transparency plans, providing facilities to support teleworking management, and arranging of work flexibility policy are alter strategies. [ FROM AUTHOR] Copyright of International Journal of Multidisciplinary: Applied Business & Education Research is the property of Future Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Relationship of Stressors and Psychosocial Support with Occurrence of Post-Traumatic Stress Disorder in Patients with Covid-19

Post Traumatic Stress Disorder (PTSD) is common in COVID-19 survivors and can be caused by a variety of stressors, including the duration of infection, severity, and location of isolation when infected with COVID-19. Furthermore, public anxiety caused by the rapid increase in the number of cases and deaths caused by COVID-19 plays a role in the occurrence of PTSD. To reduce the risk of mental disorders, psychosocial support is required. The purpose of this study was to describe the incidence of PTSD in COVID-19 survivors, to describe aspects of psychosocial support for COVID-19 survivors, and to assess the relationship between stressor factors and psychosocial support and the occurrence of PTSD in COVID-19 survivors. This research used an analytical observational research design with a cross sectional approach, involving 149 respondents aged 17-65 years, 52 men and 97 women from the COVID-19 survivor community known as COVID Survivor Indonesia (CSI) in DKI Jakarta. The Medical Outcomes Study-Social Support Survey (MOS-SSS) and The Impact Of Event Scale-Revised (IES-R) questionnaires were distributed via Google Form to collect data. Data was processed and analyzed using the Statistical Package for Social Sciences (SPSS) for Windows version 26.0, and results were analyzed using descriptive univariate and bivariate using Chi Square. There is a significant relationship between stressor factors and the occurrence of PTSD, specifically the duration of infection with COVID-19 (P = 0,026), severity when infected with COVID-19 (P = 0,027), and place of isolation when infected with COVID-19 (P = 0,023). Furthermore, there was a significant relationship between psychosocial support and the occurrence of PTSD (p = 0,001). Management of COVID-19 patients is required to detect stressor factors and provide psychosocial support so that COVID-19 survivors can return physical and psychological health. [ FROM AUTHOR] Copyright of International Journal of Multidisciplinary: Applied Business & Education Research is the property of Future Science and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Insomnia and job stressors among healthcare workers who served COVID-19 patients in Bangladesh.

BACKGROUND: The global outbreak of COVID-19 has created unprecedented havoc among health care workers, resulting in significant psychological strains like insomnia. This study aimed to analyze insomnia prevalence and job stressors among Bangladeshi health care workers in COVID-19 units. METHODOLOGY: We conducted this cross-sectional study to assess insomnia severity from January to March 2021 among 454 health care workers working in multiple hospitals in Dhaka city with active COVID-dedicated units. We selected 25 hospitals conveniently. We used a structured questionnaire for face-to-face interviews containing sociodemographic variables and job stressors. The severity of insomnia was measured by the Insomnia Severity Scale (ISS). The scale has seven items to evaluate the rate of insomnia, which was categorized as the absence of Insomnia (0-7); sub-threshold Insomnia (8-14); moderate clinical Insomnia (15-21); and severe clinical Insomnia (22-28). To identify clinical insomnia, a cut-off value of 15 was decided primarily. A cut-off score of 15 was initially proposed for identifying clinical insomnia. We performed a chi-square test and adjusted logistic regression to explore the association of different independent variables with clinically significant insomnia using the software SPSS version 25.0. RESULTS: 61.5% of our study participants were females. 44.9% were doctors, 33.9% were nurses, and 21.1% were other health care workers. Insomnia was more dominant among doctors and nurses (16.2% and 13.6%, respectively) than others (4.2%). We found clinically significant insomnia was associated with several job stressors (p < 0.05). In binary logistic regression, having sick leave (OR = 0.248, 95% CI = 0.116, 0.532) and being entitled to risk allowance (OR = 0.367, 95% CI = 0.124.1.081) showed lower odds of developing Insomnia. Previously diagnosed with COVID-19-positive health care workers had an OR of 2.596 (95% CI = 1.248, 5.399), pointing at negative experiences influencing insomnia. In addition, we observed that any training on risk and hazard increased the chances of suffering from Insomnia (OR = 1.923, 95% CI = 0.934, 3.958). CONCLUSION: It is evident from the findings that the volatile existence and ambiguity of COVID-19 have induced significant adverse psychological effects and subsequently directed our HCWs toward disturbed sleep and insomnia. The study recommends the imperativeness to formulate and implement collaborative interventions to help HCWs cope with this crisis and mitigate the mental stresses they experience during the pandemic.

Working in a bubble: techno-isolation as an emerging techno-stressor in teleworkers

Purpose: The purpose of this study is to investigate existing and emerging technology-driven stressors using the transactional model of stress and coping (TMSC). Design/methodology/approach: In-depth semi-structured interviews with 36 professionals were performed to obtain qualitative data to explore emerging techno-stressors. The findings were validated a year into the pandemic with human resource (HR) professionals. Findings: The authors identify a previously unreported techno-stressor, Techno-Isolation (TIS), which arises from a heavy dependence on information communication technologies for professional social interactions. Additionally, several considerations of interaction characteristics are identified that, based on the platform used, affect the experience of TIS, further expanding the TMSC with the addition of medium-interaction compatibility. The authors present a testable model and discuss implications. Originality/value: This study identifies three new information communication technology (ICT)-based antecedents leading to a new techno-stressor, as well as the importance of medium-interaction compatibility in the experiences of stressors as strains. The authors discuss how these elements fit with and extend the existing stress literature. © 2023, Emerald Publishing Limited.

Prevalence of adjustment disorder during COVID-19 in Northeast India: An observational study

Background: The 11th revision of the International Classification of Diseases (ICD-11) aims to provide a new definition of adjustment disorder (AjD), which is one of the most frequently diagnosed disorders. Coronavirus disease (COVID-19) pandemic has affected the mental health of people and the associated stressors could lead to AjD. The study aimed to investigate the AjD symptoms during COVID-19 pandemic based on the ICD-11 concept on a clinical sample. Methodology: A cross-sectional observational study was conducted between June 10, 2020, and August 9, 2020, among patients visiting the outpatient department of the authors' institute. Prevalence rates of stressors due to COVID-19 and AjD were estimated using scale of the International AjD Questionnaire (IADQ). Results: The study enrolled 723 subjects and 638 subjects endorsed at least one psychological stressor. The IADQ algorithm showed that 25.24% (161) of subjects were suffering from AjD due to the COVID-19 pandemic with a mean score of 20.29 (standard deviation = 4.26) among them. The most common stressors were related to financial problems (81.03%), work problem (63.17%), and personal health problems (27.43%). Conclusion: The high proportion of AjD during COVID-19 in this study may reflect a need for specific interventions. Provision for health-care services for such individuals is essential to avoid other mental disorders in the future.

Behavioural plasticity and the anthropause: an urban bird becomes less aggressive

Urban areas often impose strong, novel selection pressures on wildlife. Phenotypic plasticity, including behavioural plasticity, is an important mechanism helping organisms establish populations in novel environments. Behavioural plasticity can be difficult to study in urban wildlife because many urban environmental variables are challenging to isolate and manipulate experimentally. We took advantage of the COVID-19 lockdowns to assess whether urban birds expressed territorial aggression differently when relieved from frequent encounters with humans. We used simulated territorial intrusions to measure the behavioural responses of resident dark-eyed juncos, Junco hyemalis, on an urban college campus in Los Angeles, U.S.A. We found that the population overall displayed significantly reduced movement and singing behaviour associated with territorial aggression in a pandemic year (2021) compared to a typical year (2019). Furthermore, individuals measured in both 2019 and 2021 had significantly reduced responses in 2021, demonstrating that individual birds maintained behavioural plasticity in these traits. Our results show that human disturbance likely has a significant effect on the expression of behaviours associated with territorial aggression in urban birds. © 2023 The Author(s)

COVID-19 pandemic stress and resilience in female college students: a multigroup comparative study of in-person versus online enrolments

Objective: College students, especially females, reported worsened mental health during the COVID-19 pandemic. This multigroup comparative study aimed to explore stress and resilience of female college students between in-person and online enrolments, as well as with and without mental health diagnoses, at early and later stages of the pandemic. Method: Participants were 32 female undergraduate students (Mage = 23.75, SD = 6.13) from three classes–Spring 2020 in-person, Spring 2020 exclusively online, and Spring 2021 exclusively online enrolments–in a midwestern regional university in the U.S. They completed two surveys, four weeks apart between Times 1 and 2, quantitatively and qualitatively assessing perceived stressors, stress levels, and resilience. Frequency analyses, Wilcoxon signed-rank tests, and Mann-Whitney U tests were conducted by class. Results: Overall, the most reported stressors in Time 1/Time2 were school (25.83%/26.36%), family (16.67%/18.33%), and lifestyle (16.67%/15.00%). On average, students with mental health diagnoses perceived more stressors, especially at the onset of the pandemic, than those without. Findings were presented and interpreted using cross-case analysis, suggesting that the pandemic stress and resilience depended upon students' enrolment format and associated stressors. Conclusions: This study offered practical implications for addressing student stressors during a crisis, across in-person and online enrolments, through targeted interventions. © 2023 Australian Psychological Society.

Alcohol use and life stressors during the COVID-19 pandemic: a longitudinal study of young adults

Objective: To estimate the extent to which drinking to cope with the COVID-19 pandemic and experiencing pandemic-related life stressors are associated with alcohol use escalation among young adults. Method(s): Respondents in Los Angeles, CA, USA (N = 2,130) completed prospective cohort study surveys before (baseline;October 2018-November 2019;mean age: 19.7[SD = 0.4]) and during (follow-up;May-August 2020) the COVID-19 outbreak. Past 30-day drinking days and number of drinks per drinking day were assessed from baseline to follow-up. At follow-up, participants reported drinking to cope with social isolation and pandemic-related stressors. Result(s): Pandemic-related stressor prevalence ranged from 5.5% (evicted/lost home) to 72.6% (worried about education) and 27.1% drank to cope with social isolation during the pandemic. Respondents who did (vs. did not) report pandemic-related coping drinking were more likely to increase past 30-day drinking days and drinks per drinking day from baseline to follow-up after adjustment for possible confounders. Employment loss/reduction, financial problems, and perceived likelihood of contracting COVID-19 or handling the pandemic poorly were each associated with increases in drinking days or drinks per drinking day. Conclusion(s): Experiencing certain life stressors and drinking to cope with social isolation may be associated with drinking escalation among young adults during the COVID-19 pandemic.Copyright © 2023 Taylor & Francis Group, LLC.

COVID-19 induced birth sex ratio changes in England and Wales.

Background: The sex ratio at birth (male live births divided by total live births) may be a sentinel health indicator. Stressful events reduce this ratio 3-5 months later by increasing male fetal loss. This ratio can also change 9 months after major population events that are linked to an increase or decrease in the frequency of sexual intercourse at the population level, with the ratio either rising or falling respectively after the event. We postulated that the COVID-19 pandemic may have affected the ratio in England and Wales. Methods: Publicly available, monthly live birth data for England and Wales was obtained from the Office for National Statistics up to December 2020. Using time series analysis, the sex ratio at birth for 2020 (global COVID-19 onset) was predicted using data from 2012-2019. Observed and predicted values were compared. Results: From 2012-2020 there were 3,133,915 male and 2,974,115 female live births (ratio 0.5131). Three months after COVID-19 was declared pandemic (March 2020), there was a significant fall in the sex ratio at birth to 0.5100 in June 2020 which was below the 95% prediction interval of 0.5102-0.5179. Nine months after the pandemic declaration, (December 2020), there was a significant rise to 0.5171 (95% prediction interval 0.5085-0.5162). However, December 2020 had the lowest number of live births of any month from 2012-2020. Conclusions: Given that June 2020 falls within the crucial window when population stressors are known to affect the sex ratio at birth, these findings imply that the start of the COVID-19 pandemic caused population stress with notable effects on those who were already pregnant by causing a disproportionate loss of male fetuses. The finding of a higher sex ratio at birth in December 2020, i.e., 9 months after COVID-19 was declared a pandemic, could have resulted from the lockdown restrictions that initially spurred more sexual activity in a subset of the population in March 2020.

Prenatal maternal stress and the severity of autism spectrum disorder: A cross-sectional study.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder linked to several genetic and environmental factors including antenatal stress. Hence, we aimed to examine whether a mother's stress during pregnancy is associated with the severity of autism spectrum disorder in children. The study was conducted with 459 mothers of children with autism (aged 2-14 years) who were attending rehabilitation and educational centers in the two major cities of Makkah and Jeddah in Saudi Arabia. Environmental factors, consanguinity, and ASD family history were assessed using a validated questionnaire. The Prenatal Life Events Scale questionnaire was used to assess whether the mothers were exposed to stress during pregnancy. Two models of ordinal regression analysis were conducted including gender, child age maternal age, parental age, maternal education, parental education, income nicotine exposure, mother taking medication during pregnancy, family history of ASD, gestation, consanguinity, exposure of prenatal life events (in model 1), and severity of prenatal life events (in model 2). Family history of ASD showed a statistically significant association with the severity of ASD in both regression models (p = .015, odds ratio [OR]: 4.261 in Model 1, and p = .014, OR: 4.901 in model 2). In model 2, the moderate severity prenatal life events showed higher statistically significant adjusted odds ratio for ASD severity compared to no stress (p = .031; OR: 3.82). Within the limitations of this study, prenatal stressors showed some potential contribution to ASD severity. Family history of ASD was the only factor that showed a persistent association with ASD severity. A study that assesses the effect of COVID-19 stress on ASD prevalence and severity is recommended.

The Work, Economic, and Remittance Stress and Distress of the COVID-19 Pandemic Containment Policies: The Case of Venezuelan Migrants in Argentina and Chile.

According to the social stress process model, global crises are macro-level stressors that generate physiological stress and psychological distress. However, existing research has not identified immigrants' COVID-19 containment policy stressors or examined the social stress of sending remittances amid crises. Drawing on in-depth longitudinal interviews with 46 Venezuelan immigrants-half before and half during the pandemic-in Chile and Argentina, we identified the COVID-19 containment policies' stressors. We focused on Venezuelan immigrants because they constitute one of the largest internationally displaced populations, with most migrating within South America. We found that the governmental COVID-19 containment measures in both countries generated four stressors: employment loss, income loss, devaluation of employment status, and inability to send needed remittances. Moreover, sending remittances helped some migrants cope with concerns about loved ones in Venezuela. However, sending remittances became a social stressor when immigrants struggled to simultaneously sustain their livelihoods and send financial support to relatives experiencing hardships in Venezuela. For some immigrants, these adversities generated other stressors (e.g., housing instability) and symptoms of anxiety and depression. Broadly, for immigrants, the stressors of global crises transcend international borders and generate high stress, which strains their psychological well-being.

Identifying women with postdelivery posttraumatic stress disorder using natural language processing of personal childbirth narratives.

BACKGROUND: Maternal mental disorders are considered a leading complication of childbirth and a common contributor to maternal death. In addition to undermining maternal welfare, untreated postpartum psychopathology can result in child emotional and physical neglect and associated significant pediatric health costs. Some women may experience traumatic childbirth and develop posttraumatic stress disorder symptoms after delivery (childbirth-related posttraumatic stress disorder). Although women are routinely screened for postpartum depression in the United States, there is no recommended protocol to inform the identification of women who are likely to experience childbirth-related posttraumatic stress disorder. Advancements in computational methods of free text have shown promise in informing the diagnosis of psychiatric conditions. Although the language in narratives of stressful events has been associated with posttrauma outcomes, whether the narratives of childbirth processed via machine learning can be useful for childbirth-related posttraumatic stress disorder screening is unknown. OBJECTIVE: This study aimed to examine the use of written narrative accounts of personal childbirth experiences for the identification of women with childbirth-related posttraumatic stress disorder. To this end, we developed a model based on natural language processing and machine learning algorithms to identify childbirth-related posttraumatic stress disorder via the classification of birth narratives. STUDY DESIGN: Overall, 1127 eligible postpartum women who enrolled in a study survey during the COVID-19 pandemic provided short written childbirth narrative accounts in which they were instructed to focus on the most distressing aspects of their childbirth experience. They also completed a posttraumatic stress disorder symptom screen to determine childbirth-related posttraumatic stress disorder. After the exclusion criteria were applied, data from 995 participants were analyzed. A machine learning-based Sentence-Transformers natural language processing model was used to represent narratives as vectors that served as inputs for a neural network machine learning model developed in this study to identify participants with childbirth-related posttraumatic stress disorder. RESULTS: The machine learning model derived from natural language processing of childbirth narratives achieved good performance (area under the curve, 0.75; F1 score, 0.76; sensitivity, 0.8; specificity, 0.70). Moreover, women with childbirth-related posttraumatic stress disorder generated longer narratives (t test results: t=2.30; p=.02) and used more negative emotional expressions (Wilcoxon test: sadness: p=8.90e-04; W=31,017; anger: p=1.32e-02; W=35,005.50) and death-related words (Wilcoxon test: p=3.48e-05; W=34,538) in describing their childbirth experience than those with no childbirth-related posttraumatic stress disorder. CONCLUSION: This study provided proof of concept that personal childbirth narrative accounts generated in the early postpartum period and analyzed via advanced computational methods can detect with relatively high accuracy women who are likely to endorse childbirth-related posttraumatic stress disorder and those at low risk. This suggests that birth narratives could be promising for informing low-cost, noninvasive tools for maternal mental health screening, and more research that used machine learning to predict early signs of maternal psychiatric morbidity is warranted.

Effects of general and corona-specific stressors on mental burden during the SARS-CoV-2 pandemic in Germany.

The SARS-CoV-2 pandemic turned out to be a serious threat to mental and physical health. However, the relative contribution of corona-specific (DHs) and general stressors (DHg) on mental burden, and specific protective and risk factors for mental health are still not well understood. In a representative sample (N = 3,055) of the German adult population, mental health, potential risk, and protective factors as well as DHs and DHg exposure were assessed online during the SARS-CoV-2 pandemic (June and July 2020). The impact of these factors on mental health was analyzed using descriptive statistics, data visualizations, multiple regressions, and moderation analyses. The most burdensome DHg were financial and sleeping problems, respectively, and DHs corona-media reports and exclusion from recreational activities/important social events. 31 and 24% of total mental health was explained by DHg and DHs, respectively. Both predictors combined explained 36%, resulting in an increase in variance due to DHs of only 5% (R2 adjusted). Being female, older and a lower educational level were identified as general risk factors, somatic diseases as a corona-specific risk factor, and self-efficacy and locus of control (LOC) proved to be corona-specific protective factors. Further analyses showed that older age and being diagnosed with a somatic illness attenuated the positive influence of LOC, self-efficacy, and social support on resilience. Although the data showed that after the first easing restrictions, the stressor load was comparable to pre-pandemic data (with DHs not making a significant contribution), different risk and protective factors could be identified for general and corona-specific stressors. In line with observations from network analysis from other groups, the positive impact of resilience factors was especially diminished in the most vulnerable groups (elderly and somatically ill). This highlights the need to especially target these vulnerable groups to foster their resilience in upcoming waves of the corona pandemic.

Energetic insufficiency of liver tissue and additional energy in digital value. (The hypothesis)

Despite the deep understanding of the importance of energy supply in the development of the vast majority of processes and phenomena in organism, there are practically no conceptual researches of energy requirements in severe diseases, traumatic injuries, stressful effects and related treatment in the medical literature. The proposed hypothesis is based on the analysis of literature data (PubMed keywords: energy deficit, stressor, metabolic stress, ATP, gluconeogenesis, oxidative phosphorylation, mitochondria, insulin secretion), reconsideration of the results of our experiments dedicated to the energetic statement of liver tissue in obstructive jaundice (OJ), ischemia and massive resection, summarization of 60 years of experience in clinical, surgical and scientific activities, which made it possible to make a number of assumptions that need further clinical and experimental verification. Various pathogens (stressors) cause the additional energy production in the body, which is the energy basis of metabolic responses that ensure the adaptation of the body's vital functions and the elimination of the pathogen by activation of innate immunity, systemic inflammatory reaction, activation of the sympathetic nervous system, etc. Additional energy is the integral strength of the response to the pathogen, that takes into consideration with the strength of the stressor and the individual strength of the body's response, which can be different for the same strength of the stressor. In fact, when stress develops, it determines its strength in digital form, i.e. in real view. The concept of this hypothesis comes from the fact that stress, which main task is to provide the energy of organism, appears when there is a certain level of energy deficiency in the body. Such level rarely appears immediately after the action of the stressor. At the beginning, pre-stress adaptive reactions usually occur, which use the energy reserve in cells in the form of ATP and glycogen, and are also the result of energy redistribution: a decrease in it in insulin-dependent tissues and an increase in insulin-independent ones, which include vital organs. This made it possible to divide metabolic responses into two groups: pre-stress and stress, and to distinguish two periods: "pre-stress" and "metabolic stress". Pre-stress reactions, in our opinion, are also aimed at preventing the development of metabolic stress, which generates energy through proteolysis and lipolysis of body tissues. Metabolic stress develops when pre-stress reactions cannot satisfy the needs of the body and a certain, expressed in numerical value, energy deficit occurs. In a certain extent the metabolic situation in the body reflects by the liver, which is a metabolic organ that performs many reactions both during normal and stressful metabolism, generates ATP energy, and takes into account the metabolic state of other organs. The level of energy deficiency of the liver tissue can be an indicator that causes the formation of metabolic stress and evaluates in a numerical value not only the energy position of the body, but also the severity of its general condition, promising opportunities, prognosis and priority treatment, which should be aimed at a comprehensive replenishment of the energy deficit. This is especially important to keep in mind at this time with severe forms of COVID-19 and low blood oxygen saturation. Under any stressful influences, the doctor must solve two problems: to deal with a specific stressor and to provide energy for this struggle and the vital activity of the patient. Functional insufficiency of the liver in its diffuse diseases can lead to impaired gluconeogenesis or oxidative phosphorylation of glucose and the formation of "unsuccessful" or "incomplete" stresses. Copyright © 2022 ANNALS OF HPB SURGERY. All rights reserved.

Global occurrence of depressive symptoms during the COVID-19 pandemic.

OBJECTIVE: This study aimed to estimate the occurrence of depressive symptoms in a global population of young, middle-aged and older adults amid the COVID-19 pandemic. Study data also assessed the impact of the social restrictions caused by the pandemic on depressive symptomatology. METHODS: A self-administered internet-based survey was completed by 111,225 individuals residing in 176 countries (March-April 2020). We retained: demographic data, depressive symptoms (PHQ8), anxieties specific to the COVID-19, personality traits (Big-Five Personality Questionnaire), comorbidity frequency, health quality, behavioral variables (i,e., staying at home, avoiding social gatherings, social distancing in the past week). Occurrence of depressive symptoms was estimated using standard cut-offs (total PHQ8 score ≥ 10). Hierarchical regression modeling examined correlates of depressive symptoms (PHQ8 score) in three groups stratified by age, i.e., 18-34, 35-54 and 55+ years. RESULTS: Moderate to severe depressive symptoms were present in 27% of young, 15% middle-aged and 9% older adults. Younger age, female gender, not partnered, higher anxiety, and poorer health were associated with elevated depressive symptoms. Staying at home/not attending social gatherings were minor contributors to depressive symptoms in young and middle-aged adults. These were not significant in older adults. Social distancing was a marginal contributor in middle-aged and near significant in older adults, but not significant in young adults. CONCLUSIONS: The occurrence of depressive symptoms is decreasing with advancing age. Increased risk of depressive symptoms was associated with being a younger adult, females, single/divorced, poorer health and higher anxiety. In all age groups, the presence of depressive symptoms was greater than global estimates preceding the COVID-19 pandemic. Social restrictions amid the COVID-19 pandemic were marginal risks for depressive symptoms.

Psycho-Covid

Introduction: The COVID-19 pandemic generated a health emergency and led to the adoption of different measures, including home quarantine and social isolation, which, as we have seen, has had an impact on the mental health of the majority of citizens, with the possibility of psychiatric disorders appearing. in people without prior mental illness, such as acute decompensations in patients with known disorders, more vulnerable to environmental stressors. Objective(s): Learn and rethink alarm signals in extreme situations such as the one experienced in recent months, as well as observe the impact, negative in many cases, but positive in others, of the patients we treat daily. Method(s): Description through brief clinical cases of the impact of the COVID-19 pandemic on psychotic patients and the decompensation that it has entailed, including due to confinementmeasures and social isolation, associated with over-information through the media, chaos initial and the uncertainty that it caused and the associated fear. Result(s): Restrictions as a result of COVID-19 have played a very relevant role as an external stressor for the appearance of psychopathological alterations, including psychotic symptoms. In addition, people who suffer from psychosis or at risk of psychotic disorder can be especially affected and trigger acute psychopathology with social isolation, loss of daily routines, unemployment, homelessness. Conclusion(s): These cases are an example that shows the need for an early and effective approach to the rise in mental illnesses in circumstances of this caliber.

Personal, Academic Stressors and Environmental Factors Contributing to Musculoskeletal Pain among Undergraduates Due to Online Learning: A Mixed Method Study with Data Integration.

AIM: The COVID-19 pandemic has led to adaptation in teaching and learning methods. There is a possibility that this shift from the classroom to online learning will persist post-pandemic with implications to all involved. We explored the contribution of personal, academic stressors and environmental factors contributing to musculoskeletal pain among undergraduates due to online learning by integrating data from an online survey and one-to-one in-depth interviews. The association between musculoskeletal pain, personal, academic stressors and environmental factors among undergraduates due to online learning was also investigated. METHODS: Both quantitative and qualitative methods were used. A questionnaire was completed by 179 undergraduates (34 males and 145 females) aged between 18 to 25 years old. This was followed by an online, in-depth, one-to-one interview among 10 female undergraduates who reported severe musculoskeletal pain. The two sets of findings were integrated using a triangulation protocol. RESULT: The three most common musculoskeletal pains experienced by undergraduates due to online learning were low back (73.2%), followed by neck (68.7%) and shoulder (58.7%) pain. The six main themes identified from the interviews were: (1) Musculoskeletal pain characteristics; (2) academic issues; (3) difficulties faced by undergraduates due to teaching and learning; (4) emotions towards work/study; (5) work environment; and (6) time spent working at a workstation. Upper back pain was identified to be associated with personal (p < 0.05) and most environmental factors (p < 0.05). From the triangulation model, it was shown that personal, academic stressors and environmental factors were mainly from the workstation, uncomfortable environment, working posture and time spent at the workstation, which all contributed to musculoskeletal pain. CONCLUSIONS: This study showed that exercise, academic stressors, and environmental factors were associated with musculoskeletal pain among undergraduates due to online teaching and learning sessions. There may be a need to integrate an online prevention of musculoskeletal pain education package based on a biopsychosocial model with online teaching and learning for undergraduates.

Trajectories of resilience and mental distress to global major disruptions.

The COVID-19 pandemic has resulted in a major societal disruption, raising the question of how people can maintain or quickly regain their mental health (i.e., be resilient) during such times. Researchers have used the pandemic as a use case for studying resilience in response to a global, synchronously starting, and chronic set of stressors on the individual and societal level. Our review of this recent literature reveals that mental distress trajectories during the pandemic largely resemble mental distress responses to individual-level macro-stressors, except for a lower prevalence of recovery trajectories. Results suggest more resilient responses in older adults, but trajectories are less consistent for younger and older ages compared with middle-aged adults. We call for more research integrating state-of-the-art operationalizations of resilience and using these to study resilience over the lifespan.

Bedtime smartphone use and academic performance: A longitudinal analysis from the stressor-strain-outcome perspective

The penetration of smartphones into human life finds expression in problematic smartphone use, particularly under the Covid-19 home confinement. Problematic smartphone use is accompanied by adverse impacts on personal wellbeing and individual performance. However, little is known about the mechanism of such adverse impacts. Motivated by this, the present study strives to answer (i) how bedtime smartphone use impacts students’ academic performance through wellbeing-related strains;(ii) how to mitigate the adverse consequences of bedtime smartphone use. Drawing upon the stressor-strain-outcome paradigm, the current work presents a comprehensive understanding of how smartphone use indirectly deteriorates college students’ academic performance through the mediators of nomophobia — “the fear of being unavailable to mobile phones” (Lin et al., 2021) — and sleep deprivation. This allows a more flexible remedy to alleviate the adverse consequences of smartphone use instead of simply limiting using smartphones. This study collects a two-year longitudinal dataset of 6093 college students and employs the structural equation modeling technique to examine the stressor‐strain‐outcome relationship among bedtime smartphone use, nomophobia, sleep deprivation, and academic performance. This study finds robust evidence that wellbeing-related strains (i.e., nomophobia and sleep deprivation) mediate the negative relationship between bedtime smartphone use and academic performance. Furthermore, engaging in physical activity effectively mitigates the adverse effects of bedtime smartphone use upon nomophobia and sleep deprivation. This study not only enriches the current literature regarding the indirect effect mechanism of smartphone use but also provides valuable insights for academics and educational policymakers.