Trajectories of depression and anxiety during COVID-19 associations with religion, income, and economic difficulties

Temporal dynamics of socioeconomic inequalities in depressive and anxiety symptoms during the COVID-19 pandemic: a scoping review

Background

The existence of socioeconomic inequalities in the prevalence of symptoms of depression and anxiety is widely acknowledged, and individuals from lower socioeconomic backgrounds tend to exhibit higher rates of symptoms. However, the direction in which the COVID-19 pandemic has influenced these disparities remains uncertain. We therefore aimed to systematically outline the available evidence on the temporal dynamics of socioeconomic inequalities in symptoms related to depression and anxiety during the COVID-19 pandemic across high-income countries.

Methods

A scoping review was conducted by searching the databases Embase, Scopus and PsycINFO. According to pre-defined eligibility criteria, two reviewers independently screened titles and abstracts as well as full texts of the compiled records. Data from the included studies were extracted using a standardised data-extraction form and analysed numerically and narratively. The scoping review followed the PRISMA-ScR guidelines.

Results

A total of 49 studies comprising 149 analyses of socioeconomic indicators in relation to symptoms of depression and anxiety were included. Despite heterogeneous study designs and results, there was a tendency of increasing (40.9%; n = 61) or persistent (38.2%; n = 57) inequality trends to the detriment of those in socially more disadvantaged positions. Increasing inequalities were most pronounced when income was used as a socioeconomic indicator. Groups with lower socioeconomic status appeared most vulnerable in the initial phase of the COVID-19 pandemic. Throughout the pandemic, dynamics were diverse, with persistent trends most frequently reported.

Conclusion

Overall, to the detriment of those with lower socioeconomic status, mental-health inequalities persisted or increased in most analyses. Continually monitoring socioeconomic inequalities over time is crucial, since this makes it possible to adapt prevention and intervention strategies to specific pandemic phases. Interventions targeting job security, income security and educational attainment could reduce mental-health inequalities. The results can contribute to preparedness plans for future pandemics and crises.

Development and validation of a nomogram for predicting depressive symptoms in dentistry patients: A cross-sectional study

Depressive symptoms are frequently occur among dentistry patients, many of whom struggle with dental anxiety and poor oral conditions. Identifying the factors that influence these symptoms can enable dentists to recognize and address mental health concerns more effectively. This study aimed to investigate the factors associated with depressive symptoms in dentistry patients and develop a clinical tool, a nomogram, to assist dentists in predicting these symptoms. Methods: After exclusion of ineligible participants, a total of 1355 patients from the dentistry department were included. The patients were randomly assigned to training and validation sets at a 2:1 ratio. The LASSO regression method was initially employed to select highly influrtial features. This was followed by the application of a multi-factor logistic regression to determine independent factors and construct a nomogram. And it was evaluated by 4 methods and 2 indicators. The nomograms were formulated based on questionnaire data collected from dentistry patients. Nomogram2 incorporated factors such as medical burden, personality traits (extraversion, conscientiousness, and emotional stability), life purpose, and life satisfaction. In the training set, Nomogram2 exhibited a Concordance index (C-index) of 0.805 and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.805 (95% CI: 0.775-0.835). In the validation set, Nomogram2 demonstrated an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.810 (0.768-0.851) and a Concordance index (C-index) of 0.810. Similarly, Nomogram1 achieved an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.816 (0.788-0.845) and a Concordance index (C-index) of 0.816 in the training set, and an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.824 (95% CI: 0.784-0.864) and a Concordance index (C-index) of 0.824 in the validation set. Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) indicated that Nomogram1, which included oral-related factors (oral health and dental anxiety), outperformed Nomogram2. We developed a nomogram to predict depressive symptoms in dentistry patients. Importantly, this nomogram can serve as a valuable psychometric tool for dentists, facilitating the assessment of their patients' mental health and enabling more tailored treatment plans.

Long-term trajectories of densely reported depressive symptoms during an extended period of the COVID-19 pandemic in Switzerland: Social worries matter

Previous mental health trajectory studies were mostly limited to the months before access to vaccination. They are not informing on whether public mental health has adapted to the pandemic. The aim of this analysis was to 1) investigate trajectories of monthly reported depressive symptoms from July 2020 to December 2021 in Switzerland, 2) compare average growth trajectories across regions with different stringency phases, and 3) explore the relative impact of self-reported worries related to health, economic and social domains as well as socio-economic indicators on growth trajectories. As part of the population-based Corona Immunitas program of regional, but harmonized, adult cohorts studying the pandemic course and impact, participants repeatedly reported online to the DASS-21 instrument on depressive symptomatology. Trajectories of depressive symptoms were estimated using a latent growth model, specified as a generalised linear mixed model. The time effect was modelled parametrically through a polynomial allowing to estimate trajectories for participants' missing time points. In all regions level and shape of the trajectories mirrored those of the KOF Stringency-Plus Index, which quantifies regional Covid-19 policy stringency. The higher level of average depression in trajectories of those expressing specific worries was most noticeable for the social domain. Younger age, female gender, and low household income went along with higher mean depression score trajectories throughout follow-up. Interventions to promote long-term resilience are an important part of pandemic preparedness, given the observed lack of an adaptation in mental health response to the pandemic even after the availability of vaccines in this high-income context.

Prevalence and trajectories of neuropsychological post-COVID-19 symptoms in initially hospitalized patients

OBJECTIVE

To investigate the prevalence and trajectories of post-COVID-19 neuropsychological symptoms.

DESIGN

Prospective longitudinal multicentre cohort study.

SUBJECTS

A total of 205 patients initially hospitalized with SARS-CoV-2 (COVID-19).

METHODS

Validated questionnaires were administered at 9 months (T1) and 15 months (T2) post-hospital discharge to assess fatigue, cognitive complaints, insomnia, anxiety, depression, and post-traumatic stress symptoms.

RESULTS

Analyses included 184 out of 205 patients. Approximately 50% experienced high cognitive complaints at T1 and T2, while severe fatigue affected 52.5% at T1 and 55.6% at T2. Clinically relevant insomnia scores were observed in 25% of patients at both time-points. Clinically relevant anxiety scores were present in 18.3% at T1 and 16.7% at T2, depression in 15.0% at T1 and 18.9% at T2, and PTSD in 12.4% at T1 and 11.8% at T2. Most symptoms remained stable, with 59.2% of patients experiencing at least 1 persistent symptom. In addition, 31.5% of patients developed delayed-onset symptoms.

CONCLUSION

Post-COVID-19 cognitive complaints and fatigue are highly prevalent and often persist. A subgroup develops delayed symptoms. Emotional distress is limited. Screening can help identify most patients experiencing long-term problems. Future research should determine risk factors for persistent and delayed onset symptoms.

Variation in symptoms of common mental disorders in the general population during the COVID-19 pandemic: longitudinal cohort study

BACKGROUND

A significant rise in mental health disorders was expected during the COVID-19 pandemic. However, referrals to mental health services dropped for several months before rising to pre-pandemic levels.

AIMS

To identify trajectories of incidence and risk factors for common mental disorders among the general population during 14 months of the COVID-19 pandemic, to inform potential mental health service needs.

METHOD

A cohort of 33 703 adults in England in the University College London COVID-19 Social Study provided data from March 2020 to May 2021. Growth mixture modelling was used to identify trajectories based on the probability of participants reporting symptoms of depression (Patient Health Questionnaire-9) or anxiety (Generalised Anxiety Disorder-7) in the clinical range, for each month. Sociodemographic and personality-related characteristics associated with each trajectory class were explored.

RESULTS

Five trajectory classes were identified for depression and anxiety. Participants in the largest class (62%) were very unlikely to report clinically significant symptom levels. Other trajectories represented participants with a high likelihood of clinically significant symptoms throughout, early clinically significant symptoms that reduced over time, clinically significant symptoms that emerged as the pandemic unfolded and a moderate likelihood of clinically significant symptoms throughout. Females, younger adults, carers, those with existing mental health diagnoses, those that socialised frequently pre-pandemic and those with higher neuroticism scores were more likely to experience depression or anxiety.

CONCLUSIONS

Nearly 40% of participants followed trajectories indicating risk of clinically significant symptoms of depression or anxiety. The identified risk factors could inform public health interventions to target individuals at risk in future health emergencies.

The network structure of psychopathological and resilient responses to the pandemic: A multicountry general population study of depression and anxiety

Commonly identified patterns of psychological distress in response to adverse events are characterized by resilience (i.e., little to no distress), delayed (i.e., distress that increases over time), recovery (i.e., distress followed by a gradual decrease over time), and sustained (i.e., distress remaining stable over time). This study aimed to examine these response patterns during the COVID-19 pandemic. Anxiety and depressive symptom data collected across four European countries over the first year of the pandemic were analyzed (N = 3,594). Participants were first categorized into groups based on the four described patterns. Network connectivity and symptom clustering were then estimated for each group and compared. Two thirds (63.6%) of the sample displayed a resilience pattern. The sustained distress network (16.3%) showed higher connectivity than the recovery network (10.0%) group, p = .031; however, the resilient network showed higher connectivity than the delayed network (10.1%) group, p = .016. Regarding symptom clustering, more clusters emerged in the recovery network (i.e., three) than the sustained network (i.e., two). These results replicate findings that resilience was the most common mental health pattern over the first pandemic year. Moreover, they suggest that high network connectivity may be indicative of a stable mental health response over time, whereas fewer clusters may be indicative of a sustained distress pattern. Although exploratory, the network perspective provides a useful tool for examining the complexity of psychological responses to adverse events and, if replicated, could be useful in identifying indicators of protection against or vulnerability to future psychological distress.

Perceived risk of COVID-19 hurts mental health: the mediating role of fear of COVID-19 and the moderating role of resilience

BACKGROUND

Depression and anxiety have been found prevalent during all phases of the COVID-19 pandemic. In late December 2022, almost all COVID-19 control measures were lifted in China, leading to a surge in COVID-19 infections. The public's perceived risk and fear of COVID-19 would be increased. This study aims to examine the prevalence of depression and anxiety in the Chinese general population and explores the mediating role of fear of COVID-19 between COVID-19 perceived risk and depression/anxiety and the moderating role of resilience between fear of COVID-19 and depression/anxiety.

METHODS

A cross-sectional online survey was conducted in Wenzhou, China, immediately following almost all COVID-19 control measures lifted. The 9-item Patient Health Questionnaire (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), the COVID-19 Risk Perception Scale, the Fear of COVID-19 Scale, and the Connor-Davidson Resilience Scale (CD-RISC) were used to evaluate depression, anxiety, COVID-19 perceived risk, fear of COVID-19, and resilience, respectively. Structural Equation Modeling (SEM) with Maximum Likelihood (ML) estimator and adjusted for significant background factors was performed to test the moderated mediation. Data obtained from 935 participants were analyzed.

RESULTS

The prevalence of moderate to severe depression and anxiety was 23.7% and 9.5%, respectively. The present study revealed positive associations among COVID-19 perceived risk, fear of COVID-19 and depression/anxiety, and negative associations between resilience and fear of COVID-19/depression/anxiety. Fear of COVID-19 partially mediated the association between COVID-19 perceived risk and depression/anxiety. Furthermore, resilience significantly moderated the association between fear of COVID-19 and depression/anxiety. Two moderated mediation models were constructed.

CONCLUSION

Depression and anxiety were prevalent among Chinese adults during the final phase of the pandemic in China. The significant mediation role of fear of COVID-19 implies that reducing fear of COVID-19 may effectively alleviate depression and anxiety symptoms. Moreover, enhancing public resilience during an epidemic crisis is crucial for promoting mental health.

Resilience and Disaster: Flexible Adaptation in the Face of Uncertain Threat

Disasters cause sweeping damage, hardship, and loss of life. In this article, we first consider the dominant psychological approach to disasters and its narrow focus on psychopathology (e.g., posttraumatic stress disorder). We then review research on a broader approach that has identified heterogeneous, highly replicable trajectories of outcome, the most common being stable mental health or resilience. We review trajectory research for different types of disasters, including the COVID-19 pandemic. Next, we consider correlates of the resilience trajectory and note their paradoxically limited ability to predict future resilient outcomes. Research using machine learning algorithms improved prediction but has not yet illuminated the mechanism behind resilient adaptation. To that end, we propose a more direct psychological explanation for resilience based on research on the motivational and mechanistic components of regulatory flexibility. Finally, we consider how future research might leverage new computational approaches to better capture regulatory flexibility in real time.

The dyadic effects of individual resilience on family resilience among Chinese parents and children during COVID-19

Previous studies have mainly focused on examining families' struggles during the adaptive process of adversity, while the strength of family and how it arises were neglected. This study aims to explore the relationships between individual and family resilience among parents and children in families during COVID-19. Guided by the longitudinal actor-partner interdependence model, one parent and a child in 136 Chinese families completed assessments of pandemic media exposure and individual resilience in mid-February 2020 and family resilience in early March. Results showed that the child's individual resilience was positively associated with their own and their parents' family resilience, while parents' resilience was only positively associated with their own. The evidence indicated that a child's individual resilience was critical for all core family members' perceived family resilience and provided implications for family intervention programs.

Parental mental health trajectories over the COVID-19 pandemic and links with childhood adversity and pandemic stress

BACKGROUND

The COVID-19 pandemic has created significant disruptions, with parents of school-age children being identified as a vulnerable population. Limited research has longitudinally tracked the mental health trajectories of parents over the active pandemic period. In addition, parents' history of adverse (ACEs) and benevolent (BCEs) childhood experiences may compound or attenuate the effect of COVID-19 stressors on parental psychopathology.

OBJECTIVE

To identify distinct longitudinal trajectories of parental mental health over the COVID-19 pandemic and how these trajectories are associated with parental ACEs, BCEs, and COVID-19 stress.

PARTICIPANTS AND SETTING

547 parents of 5-18-year-old children from the U.K., U.S., Canada, and Australia.

METHODS

Growth mixture modelling was used to identify trajectories of parental mental health (distress, anxiety, post-traumatic stress, and substance use) from May 2020 to October 2021. COVID-19 stress, ACEs, and BCEs were assessed as predictors of mental health trajectories via multinomial logistic regression.

RESULTS

Two-class trajectories of "Low Stable" and "Moderate Stable" symptoms were identified for psychological distress and anxiety. Three-class trajectories of "Low Stable", "High Stable", and "High Decreasing" symptoms were observed for post-traumatic stress. Reliable trajectories for substance use could not be identified. Multinomial logistic regression showed that COVID-19 stress and ACEs independently predicted membership in trajectories of greater mental health impairment, while BCEs independently predicted membership in trajectories of lower psychological distress.

CONCLUSIONS

Parents experienced mostly stable mental health symptomatology, with trajectories varying by overall symptom severity. COVID-19 stress, ACEs, and BCEs each appear to play a role in parents' mental health during this unique historical period.

Mask sociology as a way of action theory: Voices of the face mask among social individuals in the COVID-19 masquerade in South Korea

South Koreans are susceptible to the medical face mask against the COVID-19 pandemic. Meanwhile, their mask practices are intriguingly laden with contradictions and inconsistencies. This study accounts for this puzzle by expanding two sociological frontiers: the sociology of action (i.e., action theory of agency and individuality) and the sociology of the mask. Drawing on action theory, it stresses that contradictions and inconsistencies reveal the nature of individuals as social individuals and develops a typology of social individuals during the current pandemic (i.e., atomists, collectivists, and dualists). For mask sociology, it amplifies that any mask practices are conceptualized as a masquerade involving multiple elements for individuality and proposes a theory of mask multivocality that appreciates the ways in which masquerade the social drama becomes concretized. With this two-pronged conceptual innovation, it first demonstrates a patterned relationship between social individuals and mask multivocality. Dualists take more voices from the mask than atomists or collectivists. Dualists take the most contradictory voices as well. Second, it shows that Koreans who take more meanings from the mask reveal not only more vulnerability but more transformative power amid the current pandemic. Demonstrating the promise of mask sociology for the action theory of individuality, it ultimately argues that individuals as social performers often reveal themselves as mask-wearers who become as transformative as they are vulnerable. While this model is founded upon the recent pandemic, it ramifies in political and cultural events that various face coverings accompany.

Does perceived post-traumatic growth during the COVID-19 pandemic reflect actual positive changes?

BACKGROUND AND OBJECTIVES

People commonly report positive changes following stressful experiences (perceived posttraumatic growth; PPTG), yet whether PPTG validly reflects positive changes remains unestablished.

DESIGN AND METHODS

We tested the extent to which COVID-19 pandemic-related PPTG relates to positive changes in corresponding psychosocial resources in a national US sample participating in a five wave study (T1-T5), focusing here on T2-T5: ns = 712-860. We examined correlations between resource change (both latent and observed difference scores) and PPTG at each occasion and conducted structural equation models to separate occasion-specific and stable (traitlike) PPTG variance. We related changes in resources to occasion-specific and stable PPTG components.

RESULTS

Associations between change scores and occasion-specific PPTG were sparse, providing limited evidence of PPTG validity. Associations between change scores and stable PPTG tended to be positive and stronger than associations for occasion-specific PPTG.

DISCUSSION

Perceptions of growth were largely unrelated to experienced positive changes and thus appear to be largely illusory. However, a personality-like tendency to believe one grows from stressful experiences relates more strongly to actual resource growth. These results suggest that people are not accurate reporters of positive changes they experience and that interventions aimed at promoting post-traumatic growth may be premature.

Impact of COVID-19, cancer survivorship and patient-provider communication on mental health in the US Difference-In-Difference

Poor mental health has been found to be more prevalent among those with cancer and is considered a public health crisis since COVID-19. This study assessed the impact of COVID-19 and cancer survivorship on mental health and investigated factors, including online patient-provider communications (OPPC; email/internet/tablet/smartphone), associated with poor mental health prior to and during the early COVID-19. Nationally representative Health Information National Trends Survey data during 2017-2020 (n = 15,871) was used. While the prevalence of poor mental health was high (40-42%), Difference-In-Difference analyses revealed that cancer survivorship and COVID-19 were not associated with poor mental health. However, individuals that used OPPC had 40% higher odds of poor mental health. Low socioeconomic status (low education/income), younger age (18-64 years), and female birth gender were also associated with poor mental health. Findings highlight the persistence of long-standing mental health inequities and identify that OPPC users might be those who need mental health support.

Impact of the war in Ukraine on resilience, protective, and vulnerability factors

War or armed conflict is one of the most severe human-made adversities. The current study examines the resilience, protective, and vulnerability factors of a sample of Ukrainian civilians, during the current Russian-Ukrainian war. The level of resilience and coping indicators were compared with the responses of an Israeli sample following an armed conflict in May 2021. The data were collected by an internet panel company. A representative sample of Ukrainian residents (N = 1,001) responded to an online questionnaire. A stratified sampling method was employed regarding geographic distribution, gender, and age. The data concerning the Israeli population (N = 647) were also collected by an internet panel company during a recent armed conflict with Gaza (May 2021). Three notable results emerged in this study: (a) The Ukrainian sample reported significantly higher levels of the following: Distress symptoms, sense of danger, and perceived threats, compared with the Israeli sample. However, despite these harsh feelings, the Ukrainian respondents reported substantially higher levels of hope and societal resilience compared, to their Israeli counterparts, and somewhat higher individual and community resilience. (b) The protective factors of the respondents in Ukraine (level of hope, wellbeing, and morale), predicted the three types of resilience (individual, community, and social) better than the vulnerability factors (sense of danger, distress symptoms, and level of threats). (c) The best predictors of the three types of resilience were hope and wellbeing. (d) The demographic characteristics of the Ukrainian respondents hardly added to the prediction of the three types of resilience. It appears that a war that threatens the independence and sovereignty of a country may, under certain conditions, enhance the societal resilience and hope of the population under risk, despite a lower sense of wellbeing and higher levels of distress, sense of danger, and perceived threats.

Beyond the biomedical, towards the agentic: A paradigm shift for population health science

Life expectancy in the United States is decreasing. Health disparities are widening. Growing evidence for and integration of social and structural determinants into theory and practice has not yet improved outcomes. The COVID-19 pandemic reinforced the fact. In this paper, we argue that the biomedical model and its underlying scientific paradigm of causal determinism, which currently dominate population health, cannot meet population health needs. While criticism of the biomedical model is not new, this paper advances the field by going beyond criticism to recognize the need for a paradigm shift. In the first half of the paper, we present a critical analysis of the biomedical model and the paradigm of causal determinism. In the second half, we outline the agentic paradigm and present a structural model of health based on generalizable, group-level processes. We use the experience of the COVID-19 pandemic to illustrate the practical applications of our model. It will be important for future work to investigate the empirical and pragmatic applications of our structural model of population health.

The interrelations between psychological outcome trajectories and resource changes amid large-scale disasters: A growth mixture modeling analysis

Currently little is known about the interrelations between changes in psychiatric symptoms and changes in resources (personal, social, financial) amid large-scale disasters. This study investigated trajectories of psychiatric symptoms and their relationships with different patterns of changes in personal, social, and financial resources between 2020 and 2022 amid the COVID-19 pandemic. A population-representative sample (N = 1333) was recruited to complete self-report instruments at the pandemic's acute phase (February-July 2020, T1), and again at 1-year (March-August 2021, T2) and 1.5-year (September 2021-February 2022, T3) follow-ups. Respondents reported depressive and anxiety symptoms, self-efficacy, perceived social support, and financial capacity. Growth mixture modeling (GMM) identified four trajectories of depressive and anxiety symptoms: resilience (72.39-74.19%), recovery (8.40-11.93%), delayed distress (7.20-7.35%), and chronic distress (8.33-10.20%). Four patterns were demonstrated in resource changes: persistent high resources (40.89-47.64%), resource gain (12.08-15.60%), resource loss (6.30-10.43%), and persistent low resources (28.73-36.61%). Loss and gain in financial resources characterized chronic distress and resilience, respectively. Loss in personal resources characterized delayed distress, whereas loss or no gain in social resources was related to chronic/delayed distress. Respondents in resilience were also more likely to have persistent high resources while those with delayed/chronic distress were more likely to have persistent low resources. These results provide an initial evidence base for advancing current understanding on trajectories of resilience and psychopathology in the context of resource changes during and after large-scale disasters.

Did Depression, Schizophrenia, and Alcohol Use Increase During the COVID-19 Pandemic Even in Low-Risk Regions? An Analysis of the 2017-2020 National Health Insurance Data in Tottori Prefecture

Background

This study aimed to determine whether the COVID-19 pandemic increased the number of medical consultations for depression, schizophrenia, and alcohol dependence in low-risk regions.

Methods

National Health Insurance enrolments from March 2017 to March 2021 in Tottori Prefecture, Japan, where there were minimal COVID-19 cases in 2020, were included in this study. The all-cause mortality and proportion of National Health Insurance members with depression, schizophrenia, and alcohol dependence in the financial years (FY) 2017, 2018, 2019, and 2020 were calculated. The proportion in FY 2020 was compared with the average proportion from FY2017 to FY2019 and the proportion in FY2019.

Results

The all-cause mortality for men aged 80-99 years and women aged 70-89 years decreased in FY2020. The proportion of men aged 20-29 years with depression increased to 4.1% in FY2020 compared with 3.0% in FY2019, while the proportion of women aged 20-29 years with depression was 4.4% in FY2017, 4.8% in FY2018, 4.8% in FY2019, and 5.5% in FY2020, confirming an increasing trend from before the COVID-19 pandemic. The proportion of men aged 30-39 years and 60-69 years with schizophrenia increased and that of women aged 40-49 years, 60-69 years, and 90-99 years with schizophrenia also increased, even before the pandemic. The proportion of people with alcohol use disorder has not changed significantly since FY2017.

Conclusion

The pandemic has led to an increased proportion of men aged 20-29 years with depression, even in low-risk regions.

Functional Brain Connectivity Prior to the COVID-19 Outbreak Moderates the Effects of Coping and Perceived Stress on Mental Health Changes: A First Year of COVID-19 Pandemic Follow-up Study

BACKGROUND

The COVID-19 pandemic provides a unique opportunity to investigate the psychological impact of a global major adverse situation. Our aim was to examine, in a longitudinal prospective study, the demographic, psychological, and neurobiological factors associated with interindividual differences in resilience to the mental health impact of the pandemic.

METHODS

We included 2023 healthy participants (age: 54.32 ± 7.18 years, 65.69% female) from the Barcelona Brain Health Initiative cohort. A linear mixed model was used to characterize the change in anxiety and depression symptoms based on data collected both pre-pandemic and during the pandemic. During the pandemic, psychological variables assessing individual differences in perceived stress and coping strategies were obtained. In addition, in a subsample (n = 433, age 53.02 ± 7.04 years, 46.88% female) with pre-pandemic resting-state functional magnetic resonance imaging available, the system segregation of networks was calculated. Multivariate linear models were fitted to test associations between COVID-19-related changes in mental health and demographics, psychological features, and brain network status.

RESULTS

The whole sample showed a general increase in anxiety and depressive symptoms after the pandemic onset, and both age and sex were independent predictors. Coping strategies attenuated the impact of perceived stress on mental health. The system segregation of the frontoparietal control and default mode networks were found to modulate the impact of perceived stress on mental health.

CONCLUSIONS

Preventive strategies targeting the promotion of mental health at the individual level during similar adverse events in the future should consider intervening on sociodemographic and psychological factors as well as their interplay with neurobiological substrates.

Heterogeneity in depressive and anxiety symptoms and loneliness during the COVID-19 pandemic: Results from three Dutch psychiatric case-control cohorts from April 2020 to February 2022

OBJECTIVE

While research found heterogeneous changes in mental health during the COVID-19 pandemic, less is known about the long-term changes in mental health in psychiatric groups. Therefore, we applied a data-driven method to detect sub-groups with distinct trajectories across two years into the pandemic in psychiatric groups, and described their differences in socio-demographic and clinical characteristics.

METHOD

We conducted sixteen rounds of questionnaires between April 2020 and February 2022 among participants (n = 1722) of three psychiatric case-control cohorts that started in the 2000's. We used Growth Mixture Modelling and (multinomial) logistic regression to identify characteristics associated with trajectory membership.

RESULTS

We found low decreasing (1228 [72%] participants), intermediate (n = 348 [22%] participants) and high stable (106 [6%] participants) trajectories of depressive symptoms; decreasing low/intermediate (1507 [90%] participants) and high stable (161 [10%] participants) trajectories of anxiety symptoms; and stable low (1109 [61%] participants), stable high (315 [17%] participants), temporary lowered (123 [9%]) and temporary heightened (175 [13%] participants) trajectories of loneliness. Chronicity and severity of pre-pandemic mental disorders predicted unfavourable sub-group membership for all outcomes. Being female, having a low education and income level were associated with unfavourable trajectories of depression, being younger with unfavourable trajectories of anxiety and being female and living alone with unfavourable trajectories of loneliness.

CONCLUSION

We found relatively stable trajectories of depression and anxiety symptoms over two years, suggesting low heterogeneity in outcomes during the pandemic. For loneliness, we found two specific sub-groups with temporary increase and decrease in loneliness during the pandemic.

Psychological Resilience: An Affect-Regulation Framework

Exposure to adversity (e.g., poverty, bereavement) is a robust predictor of disruptions in psychological functioning. However, people vary greatly in their responses to adversity; some experience severe long-term disruptions, others experience minimal disruptions or even improvements. We refer to the latter outcomes-faring better than expected given adversity-as psychological resilience. Understanding what processes explain resilience has critical theoretical and practical implications. Yet, psychology's understanding of resilience is incomplete, for two reasons: (a) We lack conceptual clarity, and (b) two major approaches to resilience-the stress and coping approach and the emotion and emotion-regulation approach-have limitations and are relatively isolated from one another. To address these two obstacles,we first discuss conceptual questions about resilience. Next, we offer an integrative affect-regulation framework that capitalizes on complementary strengths of both approaches. This framework advances our understanding of resilience by integrating existing findings, highlighting gaps in knowledge, and guiding future research.

Self-compassion predicted joint trajectories of depression and anxiety symptoms during the COVID-19 pandemic: A five-wave longitudinal study on Chinese college students

OBJECTIVE

The long-term protective effect of self-compassion on mental health remained unclear in the pandemic context. This study aimed to investigate the trajectories of depression and anxiety symptoms and the role of self-compassion during the pandemic.

METHODS

In this one-year five-wave longitudinal study (retested every three months from February 2020 to February 2021), 494 Chinese college students completed the study through online questionnaires and provided information on depression and anxiety symptoms, self-compassion, and sociodemographic variables. Independent and joint trajectories of depression and anxiety symptoms were explored by growth mixture models. Predictive effects of self-compassion on trajectories were examined by logistic regression models.

RESULTS

Four and three heterogeneous latent trajectories were identified for depression and anxiety symptoms, respectively. Three distinct joint trajectories of depression and anxiety were determined: low symptoms group (54.0 %), mild symptoms group (34.4 %), and risk group (11.5 %). Participants with higher levels of self-compassion were more likely to follow the low symptoms trajectory of depression and anxiety symptoms (all p < 0.001).

CONCLUSIONS

Group heterogeneity existed in the trajectories of depression and anxiety symptoms. Improving the levels of self-compassion would help to prevent and alleviate depression and anxiety symptoms. Programs based on self-compassion are encouraged to cope with the mental health challenges in the pandemic context.

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.

Do we cope similarly with different adversities? COVID-19 versus armed conflict

BACKGROUND

Varied populations may react differently to similar crises, depending on their social, cultural, and personal backgrounds; conversely, the same populations may respond differently to varied adversities. The current study aimed to examine three types of resilience (individual, community, and societal resilience) predicting six coping mechanisms (sense of danger, anxiety and depressive symptoms, well-being, hope, and morale) among the same sample of people that faced across two different adversities-COVID-19 and an armed conflict.

METHODS

Two repeated measurements of the same Israeli sample (N = 593) were employed, through an internet panel. The research variables were examined through a structured, quantitative questionnaire that consisted of nine scales, based on validated and reliable questionnaires.

RESULTS

Results indicated that: (a) respondents reported more difficulties in coping with the COVID-19 crisis, compared to the armed conflict, in all variables but morale. (b) similar patterns of correlations among the study variables were found in both measurements. (c) path's analysis indicated similar patterns of prediction of distress and well-being by individual and societal resilience. Use of the coping mechanism varied depending on the perception of the threat: COVID -19 is perceived as a less familiar and predictable adversity, which is harder to cope with, compared with the more familiar risk - an armed conflict, which is a recurrent threat in Israel. The correlations between the investigated psychological responses and the impacts of resilience on the coping and distress mechanism were similar in both adversities.

CONCLUSIONS

The results indicate that respondents tend to react in a similar pattern of associations among resilience, distress, and well-being across different adversities, such as COVID and armed conflict. However, individuals tend to regard unfamiliar, less predictable adversities as more complex to cope with, compared to better-known crises. Furthermore, respondents tend to underestimate the risks of potential familiar adversities. Healthcare professionals must be aware of and understand the coping mechanisms of individuals during adversities, to appropriately design policies for the provision of medical and psychological care during varied emergencies.

Lability of prenatal stress during the COVID-19 pandemic links to negative affect in infancy

The association between prenatal stress and children's socioemotional development is well established. The COVID-19 pandemic has been a particularly stressful period, which may impact the gestational environment. However, most studies to-date have examined prenatal stress at a single time point, potentially masking the natural variation in stress that occurs over time, especially during a time as uncertain as the pandemic. This study leveraged dense ecological momentary assessments from a prenatal randomized control trial to examine patterns of prenatal stress over a 14-week period (up to four assessments/day) in a U.S. sample of 72 mothers and infants. We first examined whether varied features of stress exposure (lability, mean, and baseline stress) differed depending on whether mothers reported on their stress before or during the pandemic. We next examined which features of stress were associated with 3-month-old infants' negative affect. We did not find differences in stress patterns before and during the pandemic. However, greater stress lability, accounting for baseline and mean stress, was associated with higher infant negative affect. These findings suggest that pathways from prenatal stress exposure to infant socioemotional development are complex, and close attention to stress patterns over time will be important for explicating these pathways.

Pre-pandemic sleep reactivity prospectively predicts distress during the COVID-19 pandemic: The protective effect of insomnia treatment

The COVID-19 pandemic is a rare stressor that has precipitated an accompanying mental health crisis. Prospective studies traversing the pandemic's onset can elucidate how pre-existing disease vulnerabilities augured risk for later stress-related morbidity. We examined how pre-pandemic sleep reactivity predicted maladaptive stress reactions and depressive symptoms in response to, and during, the pandemic. This study is a secondary analysis of a randomised controlled trial from 2016 to 2017 comparing digital cognitive behavioural therapy for insomnia (dCBT-I) against sleep education (N = 208). Thus, we also assessed whether dCBT-I moderated the association between pre-pandemic sleep reactivity and pandemic-related distress. Pre-pandemic sleep reactivity was measured at baseline using the Ford Insomnia Response to Stress Test. In April 2020, participants were recontacted to report pandemic-related distress (stress reactions and depression). Controlling for the treatment condition and the degree of COVID-19 impact, higher pre-pandemic sleep reactivity predicted more stress reactions (β = 0.13, ± 0.07 SE, p = 0.045) and depression (β = 0.22, ± 0.07 SE, p = 0.001) during the pandemic. Further, the odds of reporting clinically significant stress reactions and depression during the pandemic were over twice as high in those with high pre-pandemic sleep reactivity. Notably, receiving dCBT-I in 2016-2017 mitigated the relationship between pre-pandemic sleep reactivity and later stress reactions (but not depression). Pre-pandemic sleep reactivity predicted psychological distress 3-4 years later during the COVID-19 pandemic, and dCBT-I attenuated its association with stress reactions, specifically. Sleep reactivity may inform prevention and treatment efforts by identifying individuals at risk of impairment following stressful events.

Were anxiety, depression and psychological distress associated with local mortality rates during COVID-19 outbreak in Italy? Findings from the COMET study

BACKGROUND

The mental health of the Italian population declined at the onset of the COVID-19 pandemic. However, nationwide population prevalence estimates may not effectively reproduce the heterogeneity in distress responses to the pandemic. In particular, contextual determinants specific to COVID-19 pandemic need to be considered. We thus aimed to explore the association between local COVID-19 mortality rates and mental health response among the general population.

METHODS

We capitalised on data (N = 17,628) from a large, cross-sectional, national survey, the COMET study, run between March and May 2020. While psychological distress was measured by General Health Questionnaire-12 (GHQ-12), the Depression, Anxiety and Stress Scale-21 Items (DASS-21) was used to assess relevant domains. In addition, a Covid-19 mortality ratio was built to compare single regional mortality rates to the national estimate and official statistics were used to control for other area-level determinants.

RESULTS

Adjusted ordered regression analyses showed an association between mortality ratio and moderate (OR = 1.10, 95%CI 1.03-1.18) and severe (OR = 1.11, 95%CI 1.03-1.21) DASS-21 anxiety levels. No effects of mortality ratio on GHQ-12 scores and DASS-21 depression and stress levels, uniformly high across the country, were estimated.

CONCLUSIONS

Although we could not find any association between regional COVID-19 mortality ratio and depression or psychological distress, anxiety levels were significantly increased among subjects from areas with the highest mortality rates. Local mortality rate seems a meaningful driver for anxiety among the general population. Considering the potentially long-lasting scenario, local public health authorities should provide neighbouring communities with preventive interventions reducing psychological isolation and anxiety levels.

The COVID-19 Pandemic and the Interest in Prayer and Spirituality in Poland According to Google Trends Data in the CONTEXT of the Mediatisation of Religion Processes

The research undertaken in this article uses the Google Trends tool to study the degree of interest in prayer and general spirituality during the initial phase of the COVID-19 pandemic in Poland and Europe. The authors assumed that for people interested in prayer during the COVID-19 pandemic, the Internet served as a virtual prayer book. The main research questions addressed the frequency of typed queries, referring not only to the word “prayer” but also to specific types of prayer. In addition, interest in prayer was compared with interest in the word “prophecy” to explore the relationship between religiosity and interest in the supernatural sphere in its broadest sense. The analysis shows that there is distinct recurrence regarding the terms searched, with some of them noticeably intensifying with the outbreak of the COVID-19 pandemic. The findings also show that keywords related to prophecies were searched more frequently at significant moments in Polish history (2005—the death of John Paul II, 2010—the plane crash in which the President of Poland died) than in the months of 2020 when the pandemic struck and escalated. At that time, searches related to religion were more frequent. It can also be concluded that the outbreak of the pandemic contributed to an increase in the religious activity of Poles. The article is interdisciplinary in nature, referring primarily to Religion Studies and Mass Media and Communication Studies.

Heterogeneity in mental health change during the COVID‐19 pandemic in Germany: The role of social factors

The COVID-19 pandemic constitutes a prolonged global crisis, but its effects on mental health seem inconsistent. This inconsistency highlights the importance of considering the differential impact of the pandemic on individuals. There is some evidence that mental health trajectories are heterogeneous and that both sociodemographic and personal characteristics are associated with higher risk for mental health issues. By contrast, information on the role of social factors as potential determinants of initial reactions to the pandemic and on heterogeneous trajectories over time is lacking. We analysed seven assessments of a large-scale (N = 2203) longitudinal study across 1.5 years, beginning in March 2020. Using self-report data on mental health and life satisfaction, we applied latent change models to examine initial reactions and mean changes across the pandemic. In addition, we applied latent class growth analyses to investigate whether there were distinct groups with different patterns of change. Results showed that on average, levels of life satisfaction and anxiety decreased (d = -0.31 and d = -0.11, respectively), levels of depressive symptoms increased (d = 0.13), and stress levels remained unchanged (d = -0.01) during the first year of the pandemic. For each outcome, we identified four distinct mental health trajectories. Between 5% (for anxiety) and 11% (for life satisfaction) of the sample reported consistently high-and even increasing-impairments in mental health and well-being. The trajectories of a sizeable number of people covaried with the course of the pandemic, such that people experienced better mental health when the number of COVID cases was low and when fewer restrictions were placed on public life. Low emotional support, high instrumental support, and the tendency to compare oneself with others were associated with more mental health issues. Findings show that whereas a substantial portion of people were largely unaffected by the pandemic, some individuals experienced consistently high levels of psychological distress. Social factors appear to play a crucial role in the maintenance of well-being.