Longitudinal changes in mental health and the COVID-19 pandemic: evidence from the UK Household Longitudinal Study

Evolving policies, enduring impacts: Cross-sectional surveys of mental health, risk-related perceptions, and coping behaviors throughout China's U-turn in its stringent zero-COVID policy

OBJECTIVE

China's early encounter with COVID-19 and protracted prevention policies, presents an ideal case to study psychological changes during a prolonged and evolving crisis. This study aims to examine the shifts in mental health symptoms, risk-related perceptions, and associated coping behaviors within two large-scale samples of Chinese respondents, spanning from the pandemic's onset to the relaxation of the zero-COVID policy. Moreover, the study strives to identify protective factors that could potentially mitigate the pandemic's impact.

METHODS

Two online surveys were conducted during China's initial pandemic phase (February 25-28, 2020) and the relaxation of the zero-COVID policy (March 30-April 18, 2023). Participants' mental health indicators, risk-related perceptions, and coping behaviors were assessed using the Depression, Anxiety, and Stress Scale-21 Items, the 9-item Bergen Burnout Inventory, and other adopted scales. Multivariable linear models were employed to examine the enduring psychological impact of the pandemic and identify potential protective factors.

RESULTS

Analysis of two datasets comprising 1946 and 1878 participants from the onset and the remission of China's COVID-19 pandemic revealed an upward trend in various mental health indicators of Chinese respondents between 2020 and 2023. Similarly, risk-related perceptions, encompassing perceived severity, susceptibility, and self-efficacy, and risk-related information sharing witnessed an increase. Being female, single, residing in rural areas, having higher education, and lacking acquaintances with COVID-19 are protective factors against mental health risks. Additionally, being female, married, over 30, living in big cities, having higher education, and lacking personal or acquaintances' infection history are associated with engaging in protective behaviors and reduced information avoidance.

CONCLUSION

The study investigated the changes in mental health symptoms, risk-related perceptions, and coping behaviors of Chinese respondents between 2020 and 2023 and identified protective factors against the pandemic's impact, including demographic (gender, age), social (education, marital status, residence), and exposure (infection history) elements. Understanding these fluctuations and protective elements is crucial for policymakers, as it can inform the development of targeted strategies to alleviate negative psychological impacts while effectively managing future pandemics.

The impact of the Covid-19 pandemic on postnatal anxiety and posttraumatic stress: Analysis of two population-based national maternity surveys in England

BACKGROUND

Few studies have evaluated postnatal anxiety and posttraumatic stress (PTS) before and during the Covid-19 pandemic using comparable data across time. We used data from two national maternity surveys in England to explore the impact of the pandemic on prevalence and risk factors for postnatal anxiety and PTS.

METHODS

Analysis was conducted using population-based surveys carried out in 2018 (n = 4509) and 2020 (n = 4611). Weighted prevalence estimates for postnatal anxiety and PTS were compared across surveys. Adjusted risk ratios (aRR) were estimated for the association between risk factors and postnatal anxiety and PTS.

FINDINGS

Prevalence of postnatal anxiety increased from 13.7 % in 2018 to 15.1 % in 2020 (+1.4 %(95%CI:-0.4-3.1)). Prevalence of postnatal PTS increased from 9.7 % in 2018 to 11.5 % in 2020 (+1.8 %(95%CI:0.3-3.4)), due to an increase in PTS related to birth trauma from 2.5 % to 4.3 % (+1.8 %(95%CI:0.9-2.6); there was no increase in PTS related to non-birth trauma. Younger age (aRR = 1.31-1.51), being born in the UK (aRR = 1.29-1.59), long-term physical or mental health problem(s) (aRR = 1.27-1.94), and antenatal anxiety (aRR = 1.97-2.22) were associated with increased risk of postnatal anxiety and PTS before and during the pandemic, whereas higher satisfaction with birth (aRR = 0.92-0.94) and social support (aRR = 0.81-0.82) were associated with decreased risk.

INTERPRETATION

Prevalence of postnatal PTS was significantly higher during the pandemic, compared to before the pandemic, due to an increase in PTS related to birth trauma. Prevalence of postnatal anxiety was not significantly higher during the pandemic. Risk factors for postnatal anxiety and PTS were similar before and during the pandemic.

How are Conversations via an On-Demand Peer-To-Peer Emotional Well-Being App Associated with Emotional Improvement?

Non-clinical, on-demand peer-to-peer (PtP) support apps have become increasingly popular over the past several years. Although not as pervasive as general self-help apps, these PtP support apps are usually free and instantly connect individuals through live texting with a non-clinical volunteer who has been minimally trained to listen and offer support. To date, there is little empirical work that examines whether and how using an on-demand PtP support app improves emotional well-being. Applying regression and multilevel models to N = 1000+ PtP conversations, this study examined whether individuals experience emotional improvement following a conversation on a PtP support app (HearMe) and whether dyadic characteristics of the conversation - specifically, verbal and emotional synchrony - are associated with individuals' emotional improvement. We found that individuals reported emotional improvement following a conversation on the PtP support app and that verbal (but not emotional) synchrony was associated with the extent of individuals' emotional improvement. Our results suggest that online PtP support apps are a viable source of help. We discuss cautions and considerations when applying our findings to enhance the delivery of support provision on PtP apps.

The impact of school exclusion in childhood on health and well-being outcomes in adulthood: Estimating causal effects using inverse probability of treatment weighting

BACKGROUND

Previous evidence has suggested a strong association between school exclusion and health outcomes. However, as health risks are themselves related to the risk of experiencing a school exclusion, it has been challenging to determine the extent to which school exclusion impacts later health outcomes, as opposed to reflecting a marker for pre-existing risks.

AIM

The aim of the current study was to address this challenge in estimating the medium-to-long-term impact of school exclusion of health and well-being outcomes.

METHODS

To this end, we used an inverse propensity weighting approach in the Next Steps data set (N = 6534, from wave 1, 2014, to wave 8, 2015).

RESULTS

We found that after weighting for propensity of treatment scores estimated based on a wide range of factors, including previous health indicators, there was a significant effect of school exclusion on a wide range of health and well-being outcomes.

DISCUSSION

These results provide some of the most robust evidence to date that school exclusion harms long-term health outcomes.

CONCLUSION

The findings suggest that policies should aim to reduce exclusion and ensure access to preventative health support for those who experience a school exclusion.

The effectiveness of e-mental health interventions on stress, anxiety, and depression among healthcare professionals: a systematic review and meta-analysis

BACKGROUND

Many healthcare professionals are experiencing psychological distress. Electronic mental health (e-mental health) interventions are convenient and multifunctional. This review aimed to examine the effectiveness of e-mental health interventions in enhancing the well-being of healthcare professionals and to identify moderating factors.

METHODS

A comprehensive and systematic retrieval of randomized controlled trial (RCT) studies was conducted across eight databases. Population, intervention, comparison, and outcome (PICO) were used to define eligibility criteria. Stress, anxiety, and depression were included as the main outcomes. The overall effect was calculated based on the random effect model, and the effect size was presented using the standardized mean difference. The characteristics of the research design, intervention object, and intervention design were further selected as potential moderating factors for subgroup analysis. Meta-regression analyses were finally performed, incorporating intervention duration and sample size as independent variables.

RESULTS

A total of 20 studies were included in the systematic review, and 17 were included in the meta-analysis. A large effect on relieving stress and anxiety and a small-to-medium effect on reducing depression were observed. Subgroup analyses showed that features including mindfulness approaches, online courses, computer use, group interventions, and professional guidance were more favorable in the design of services. Meta-regression revealed that intervention duration only affected anxiety symptoms. Caution should be exercised, as some subgroups had fewer studies and higher heterogeneity. For the secondary outcomes, a large effect on emotional exhaustion and a small-to-medium effect on well-being were observed.

CONCLUSION

In general, e-mental health interventions significantly improve the psychological health of healthcare staff. Future high-quality, large-scale studies targeting healthcare professionals and specific intervention scenarios are warranted.

Impact of COVID-19 pandemic on prescription of psychotropic medications in the Italian paediatric population during 2020

BACKGROUND

There is a global perception that psychotropic utilization in children and adolescents is increasing, especially with the onset of COVID-19 pandemic. Available literature data on paediatric psychotropic medication prescriptions in Italy are limited to one or few regions and not updated. The aim of this study was to provide updated data on psychotropic prescriptions referred to the whole Italian paediatric population, as overall and by subgroups of medications and to evaluate if the COVID-19 pandemic during 2020 had an impact on prescription rates.

METHODS

A descriptive study on psychotropic drug utilization in children and adolescents (< 18 years) resident in all Italian regions during 2020 was performed. Patients registered in the Pharmaceutical Prescriptions database with at least one prescription/dispensing of a psychotropic medication (antipsychotics-N05A), (antidepressants-N06A) and (psychostimulants-N06BA) during the study period were considered. The indicators used were the prescription rate (number of prescriptions per 1000 children) and prevalence of use (proportion of the paediatric population with at least one prescription in the relevant year).

RESULTS

During the 2020 the prevalence of psychotropic drug use in the paediatric population was 0.3%, increased of 7.8% if compared to 2019. The same trend was observed for the prescription rate, which recorded an average of 28.2 per 1000 children with an increase of 11.6% if compared to previous year, representing the 0.6% of the overall drug use in this age group. The data showed a growing trend prescription by age, reaching the peak in adolescents aged 12-17 years old, with a prescription rate of 65 per 1000 children and a prevalence of 0.71%. Considering the subgroups of psychotropic medications, the highest prevalence of use was found for antipsychotic drugs, received by the 0.19% of the paediatric population during 2020.

CONCLUSIONS

Psychotropic drug utilization in children and adolescents has grown during 2020 in Italy and worldwide, raising alarms from health care clinicians and patient advocates about the increase of burden of mental diseases in paediatric population during the COVID-19 pandemic. A more systematic monitoring of the use of psychotropic medications should be implemented in all countries for collecting relevant information about children and adolescents taking psychotropic drugs, in order to address the present and the future of the mental health of the paediatric population.

Mindfulness meditation use in Britain during the COVID-19 pandemic

OBJECTIVES

The objectives of this study were to examine the prevalence and associations of mindfulness meditation use and also its perceived mental health effects during the COVID-19 pandemic.

METHODS

Using repeated cross-sectional data from broad online samples weighted to be representative of the adult population in Britain, we estimated the prevalence of mindfulness meditation use and employed logistic regression models to investigate sociodemographic and political associations of mindfulness meditation use and also its perceived mental health effects during the COVID-19 pandemic.

RESULTS

The findings suggest that 16 percent of adults in Britain had learnt to practice mindfulness in 2021. In covariate-adjusted regression models, having learnt to practice mindfulness was more common among young and middle-aged adults, residents in London, and respondents who voted for the Liberal Democrats. Among mindfulness meditation users who reported having practiced mindfulness during the COVID-19 pandemic, 60 percent reported that it positively affected their mental health and 24 percent reported that it negatively affected their mental health. Notably, 41 percent of respondents with children under 18 (versus 13 percent of those without minors) reported negative mental health effects. In covariate-adjusted regression models, negative mental health effects from mindfulness practice during the COVID-19 pandemic were not concentrated in any particular groups, except for respondents with children under 18.

CONCLUSIONS

Mindfulness meditation has become widespread in Britain, but the results in this study suggest that mindfulness meditation use may be concentrated in certain sociodemographic and political groups. The results also suggest that practicing mindfulness during the COVID-19 pandemic had positive mental health effects for a majority of users, but approximately one-quarter of users reported negative mental health effects. It is therefore important for future research to continue monitoring the prevalence of mindfulness meditation use in society and to investigate under what circumstances, for whom, and in what ways mindfulness-based practices may have negative effects on mental health.

Typology of employers offering line manager training for mental health

BACKGROUND

Mental ill health has a high economic impact on society and employers. National and international policy advocates line manager (LM) training in mental health as a key intervention, but little is known about employer training provisions.

AIMS

To explore the prevalence and characteristics of organizations that offer LM training in mental health.

METHODS

Secondary analysis of existing longitudinal anonymised organizational-level survey data derived from computer-assisted telephone interview surveys collected in four waves (2020:1900 firms, 2021:1551, 2022:1904, 2023:1902) in England, before, during and after a global pandemic.

RESULTS

The proportion of organizations offering LM training in mental health increased pre- to post-pandemic (2020:50%, 2023:59%) but 41% do not currently provide it. Logistic regression confirmed that LM training is more likely to be offered by large-sized enterprises, organizations with a larger proportion of employees who are younger (aged 25-49), female, disabled and from ethnic minority communities. Sector patterns were inconsistent, but in 2023, organizations from the 'Hospitality' and 'Business Services' sectors were more likely to provide LM training than other sectors.

CONCLUSIONS

Continued efforts are needed to increase the proportion of employers offering LM training in mental health, particularly small- to medium-sized enterprises, and organizations with predominantly male, White and/or older workforces.

Local government spending and mental health: Untangling the impacts using a dynamic modelling approach

This study investigated the impact of local government spending on mental health in England between 2013 and 2019. Guided by the "Health in All Policies" vision, which encourages the integration of health in all decision-making areas, we explored how healthcare and multiple nonmedical budgeting decisions related to population mental health. We used random curve general cross-lagged modelling to dynamically partition effects into the short-run (from t to t + 1) and long-run (from t to t + 2) impacts, account for unobserved area-level heterogeneity and reverse causality from health outcomes to financial investments, and comprehensive modelling of budget items as an interconnected system. Our findings revealed that spending in adult social care, healthcare, and law & order predicted long-term mental health gains (0.004-0.081 SDs increase for each additional 10% in expenditure). However, these sectors exhibited negative short-term impulses (0.012-0.077 SDs decrease for each additional 10% in expenditure), markedly offsetting the long-term gains. In turn, infrastructural and environmental spending related to short-run mental health gains (0.005-0.031 SDs increase for each additional 10% in expenditure), while the long-run effects were predominantly negative (0.005-0.028 SDs decrease for each additional 10% in expenditure). The frequent occurrence of short-run and long-run negative links suggested that government resources may not be effectively reaching the areas that are most in need. In the short-term, negative effects could also imply temporary disruptions to service delivery largely uncompensated by later mental health improvements. Nonetheless, some non-health spending policies, such as law & order and infrastructure, can be related to long-lasting positive mental health impacts.

Reevaluating Sleep Quality During COVID-19 and Associations With Quarantine, Mental Health, Stress, and Screen Time in Young Adults: Results From a Cross-Sectional Online Survey

The COVID-19 pandemic affected individual sleep quality, especially with high-stress levels. We assessed sleep quality in young adults during COVID-19, and mental health, stress, and screen time (ST) use. An international cross-sectional study was conducted from September 2020 to January 2021. The surveys assessed sleep quality (PSQI), ST use, and mental health. 183 participants were eligible for analysis. The average global PSQI score was 7.29 (sd = 3.58, n = 99). Associations were found between global PSQI scores and Fear of COVID-19 (r (98) = .223, P = .027), anxiety scores (r (99) = -.541, P < .001), increased total stress scores (r (88) = .486, P < .001), and depression (r (97) = .628, P < .001). Those currently quarantining had statistically higher PSQI scores than those who quarantined in the past (F (2,175) = 3.397, P = .036), but not for those who did not quarantine. Differences were found between genders for global PSQI (F (4,94) = 2.865, P < .027) and poor vs good sleep (X2 (1,98) = 3.982, P = .046). There was also a relationship between ethnicity and poor vs good sleep quality (X2 (2,94) = 6.538, P = .038). We did not find associations between ST and sleep quality but found poor sleep quality significantly related to mental health during COVID-19. We found no direct evidence that quarantining itself results in poor sleep quality. Interventions need to maximize sleep quality in certain groups, like females and ethnic minorities.

What set some young adults apart during the COVID-19 pandemic? Mental health trajectories, risk and protective factors in an Australian longitudinal study

OBJECTIVE

Evidence suggests that young adults (aged 18-34) were disproportionately impacted by the COVID-19 pandemic, but little is known about their longer-term mental health changes beyond the early pandemic period. This article investigates heterogeneous trajectories of mental health among Australian young adults across 2 years of the pandemic and identifies a broad range of associated risk and protective factors.

METHOD

Young adults (N = 653, Mage = 27.8 years) from the longitudinal Alone Together Study were surveyed biannually between July 2020 and June 2022. Measures assessed anxiety (7-item Generalised Anxiety Disorder scale) and depression (9-item Patient Health Questionnaire) symptoms at Waves 1-4, as well as demographic, psychological, adversity and COVID-19 factors at baseline.

RESULTS

Four and three distinct trajectories of anxiety and depressive symptoms, respectively, were identified through growth mixture modelling. The proportion of participants in each anxiety trajectory were Asymptomatic (45.9%), Mild Stable (17.9%), Moderate-Severe Stable (31.1%) and Initially Severe/Recovering (5.1%). For depression, Mild Stable (58.3%), Moderate-Severe Stable (30.5%) and Reactive/Recovering (11.2%). Baseline factors associated with severe symptom trajectories included a lifetime mental health disorder, pre-pandemic stressful events, identifying as LGBTQIA+ and/or female, and experiencing one or more infection-control measures. Higher household income was protective.

CONCLUSION

Most young adults demonstrated stable trajectories of low or high symptoms during the pandemic, with smaller groups showing initially severe or reactive symptoms followed by marked improvements over time. Vulnerable subgroups (gender- or sexuality-diverse, those with prior adversity or pre-existing mental ill-health) may face ongoing impacts and require targeted psychosocial supports to assist their mental health recovery post-COVID-19 and in the event of future crises.

Self-Control, Openness, Personal Need for Structure and Compensatory Control Change: A Serial Mediation Investigation

In the aftermath of the COVID-19 pandemic, numerous studies have indicated that individuals are confronting a diminished sense of control. Compensatory control theory suggests that individuals strive to mitigate this loss by modifying their behavior. The present study aims to investigate the relationship between self-control and compensatory control change during the COVID-19 pandemic, as well as the mediating effects of openness and the personal need for structure. Participants completed an online questionnaire consisting of Personal Need for Structure Scale, Self-Control Scale, Openness Scale and Compensatory Control Change Scale. The results showed that the compensatory control change increased after the outbreak. Moreover, a serial mediation was found: openness and the personal need for structure partially mediated the relationship between self-control and compensatory control change. The results indicate that the COVID-19 pandemic has led to an increase in compensatory control behaviors, especially among those with pronounced self-control. High self-control individuals are found to exhibit greater openness, reducing their personal need for structure, in effect enhancing their compensatory control change. These findings highlight the critical role of self-control in sustaining a sense of control, which is vital for understanding psychological health management in the context of public health events.

Number and nature of psychiatric emergency department visits in a tertiary hospital before, during, and after coronavirus pandemic

Introduction

The COVID-19 pandemic has significantly impacted mental health globally, leading to a deterioration in the overall mental health of the population and changes across all healthcare levels, including emergency departments (ED). However, the evolution of the quantity and nature of psychiatric ED visits in the post-pandemic period remains uncertain.

Aims

To examine changes in the number and nature of psychiatric emergencies at a general hospital before, during, and after the COVID-19 pandemic.

Materials and methods

Psychiatric ED visits from a tertiary hospital in the Basque Country (Spain) between January 2019 and November 2023 were investigated. Electronical health registers detailing the number and nature of psychiatric care consultations were analyzed for the study timeframe. Three periods were then compared: pre-pandemic (from January 2019 to February 2020), pandemic (from March 2020 to January 2022), and post-pandemic (from February 2022 onwards).

Results

16,969 psychiatric ED visits were recorded for the study period. The number of psychiatric ED visits remained stable from pre-pandemic (269.93 visits/month) to pandemic (264.48 visits/month) periods but experienced a significant rise during the post-pandemic period (330.00 visits/month; t=-6.42; p<0.001), which was not reflected in medical and traumatological visits. The proportion of visits for anxiety (Z=-2.97; p=0.003), suicidal ideation (Z=-5.48; p<0.001), and administrative and social consultations (Z=-5.69; p<0.001) increased over the course of the pandemic. In contrast, visits for schizophrenia and other psychotic disorders (Z=4.85; p<0.001), as well as unspecified behavioral alterations (Z=2.51; p=0.012), significantly decreased.

Conclusion

The COVID-19 pandemic and its aftermath have altered the patterns of urgent psychiatric care, characterized by a sharp increase of average monthly number of consultations and a shift in their nature. Future efforts should focus on characterizing this surge in demand and enhancing both emergency services and outpatient settings.

Comparison of dysfunctional attitudes, cognitive vulnerability to depression, before and during the COVID-19 pandemic in healthy participants

BACKGROUND

During the COVID-19 pandemic, depression and suicide rates increased worldwide, and in Japan. Presumably, an increase of neuroticism-related personality traits mediates the relation linking the COVID-19 pandemic with depression and suicide. This study examined COVID-19 pandemic effects on dysfunctional attitudes, cognitive vulnerability to depression, in healthy participants.

METHODS

The study used Dysfunctional Attitude Scale (DAS) -24 data of three subscales (i.e., achievement, dependency, and self-control) obtained from 270 Japanese medical students during October 2017 - June 2022. Participants were divided into two groups: those for whom DAS-24 was assessed before the pandemic (phase 1 group, October 2017 - March 2020, n = 178) and those for whom DAS-24 was assessed during the pandemic (phase 2 group, April 2020 - June 2022, n = 92).

RESULTS

Total DAS-24 scores of the phase 2 group were significantly (p = 0.047) lower than those of the phase 1 group. Scores of the dependency subscale for the phase 2 group were significantly (p = 0.002) lower than those for the phase 1 group, but no significant difference was found in the scores of the achievement and self-control subscales.

CONCLUSIONS

These findings suggest that a decrease in DAS-24 scores, particularly of the dependency subscale, occurred during the COVID-19 pandemic. Possible mechanisms underlying these results are 1) individuals became less preoccupied with receiving evaluation, 2) individuals realized that self-cognition depending on the approval of others is unimportant, and 3) high levels of dysfunctional attitude were maladaptive for obtaining affective benefits via social interactions during the COVID-19 pandemic.

Ethics of Nudging in the COVID-19 Crisis and the Necessary Return to the Principles of Shared Decision Making: A Critical Review

Nudging, a controversial technique for modifying people's behavior in a predictable way, is claimed to preserve freedom of choice while simultaneously influencing it. Nudging had been largely confined to situations such as promoting healthy eating choices but has been employed in the coronavirus disease 2019 (COVID-19) crisis in a shift towards measures that involve significantly less choice, such as shoves and behavioral prods. Shared decision making (SDM), a method for direct involvement and autonomy, is an alternative approach to communicate risk. Predominantly peer-reviewed scientific publications from standard literature databases like PubMed, PsycInfo, and Psyndex were evaluated in a narrative review. The so-called fear nudges, as well as the dissemination of strongly emotionalizing or moralizing messages can lead to intense psycho-physical stress. The use of these nudges by specialized units during the COVID-19 pandemic generated a societal atmosphere of fear that precipitated a deterioration of the mental and physical health of the population. Major recommendations of the German COVID-19 Snapshot Monitoring (COSMO) study, which are based on elements of nudging and coercive measures, do not comply with ethical principles, basic psychological principles, or evidence-based data. SDM was misused in the COVID-19 crisis, which helped to achieve one-sided goals of governments. The emphasis on utilitarian thinking is criticized and the unethical behavior of decision makers is explained by both using the concept of moral disengagement and the maturity level of coping strategies. There should be a return to an open-ended, democratic, and pluralistic scientific debate without using nudges. It is therefore necessary to return to the origins of SDM.

A study of early multilingualism in Iran: The effects of mother tongue literacy, socio-economic status and foreground TV exposure

This study investigated interactions among linguistics, social and political factors in a linguistically rich environment. For this purpose, two-hundred Iranian preschoolers (aged 5 to 6 years old) from four ethnic/linguistic groups (Arab, Kurd, Turk and Fars) were selected using multi-stage stratified sampling. All participants took part in an Elementary English language course and their exposure to foreground TV was recorded using media exposure portfolio. Maternal education and family income were considered as criteria for socio-economic status. Children's language proficiency was measured through Language Sample Analysis (LSA). The LSA components included total number of utterances produced, total number of words produced, total number of new words produced and mean length of utterances. Regression analysis, ANOVA and t-tests were used for data analyses. The results showed that bilingual children performed slightly better than multilingual children in LSA measures but this cannot be taken for granted. Moreover, socio-economic status and LSA measures were significantly related but TV exposure was not associated with the LSA measures. These results supported the arguments purported by minority language proponents on the importance of using children's mother tongue in educational curriculum.

Stability and shifts in the combined positive and negative mental health of clergy: A longitudinal latent class and latent transition analysis study of united methodist pastors before and after the onset of COVID-19

COVID-19 and its associated restrictions presented unprecedented challenges for those in the helping professions. In this study, we seek to understand how the mental health of those who belong to one specific helping profession - clergy - changed in the context of COVID-19. Using longitudinal data of a sample of United Methodist pastors from the North Carolina Clergy Health Initiative, we conduct both cross-sectional and person-centered analyses to investigate how the overall mental health of this occupational group changed, as well as how different subgroups of clergy fared within the context of the pandemic, depending on their well-being prior to the onset of COVID-19. We found that the mental health of pastors suffered within the context of the pandemic, but that individual changes in mental health differed based on what the combined positive and negative mental health patterns of clergy were prior to the pandemic, for which we used latent class analysis to identify as Flourishing, Distressed, Languishing, or Burdened but Fulfilled. Of these subgroups, having Flourishing pre-pandemic status was protective of mental health following the onset of COVID-19, whereas the other three subgroups' mental health statuses worsened. This study is the one of the first longitudinal studies of helping professionals which has tracked changes in mental health before and after the onset of COVID-19. Our findings demonstrate the utility of considering positive and negative mental health indicators together, and they point to certain groups that can be targeted with well-being resources during future periods of acute or abnormal stress.

Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis

OBJECTIVES

Depression and loneliness co-occur frequently. This study examined interactive changes between depression and loneliness among older adults prior to and during the COVID-19 pandemic from a longitudinal network perspective.

METHODS

This network study was based on data from three waves (2016-2017, 2018-2019, and 2020) of the English Longitudinal Study of Ageing (ELSA). Depression and loneliness were measured with the eight-item version of the Center for Epidemiologic Studies Depression Scale (CESD-8) and three item version of the University of California Los Angeles (UCLA) Loneliness Scale, respectively. A network model was constructed using an Ising Model while network differences were assessed using a Network Comparison Test. Central symptoms were identified via Expected Influence (EI).

RESULTS

A total of 4,293 older adults were included in this study. The prevalence and network of depression and loneliness did not change significantly between the baseline and pre-pandemic assessments but increased significantly from the pre-pandemic assessment to during COVID-19 assessment. The central symptom with the strongest increase from pre-pandemic to pandemic assessments was "Inability to get going" (CESD8) and the edge with the highest increase across depression-loneliness symptom communities was "Lack companionship" (UCLA1) - "Inability to get going" (CESD8). Finally, "Feeling depressed" (CESD1) and "Everything was an effort" (CESD2) were the most central symptoms over the three assessment periods.

CONCLUSIONS

The COVID-19 pandemic was associated with significant changes in the depression-loneliness network model. The most changed symptoms and edges could be treatment targets for reducing the risk of depression and loneliness in older adults.

Short-term impacts of Universal Basic Income on population mental health inequalities in the UK: A microsimulation modelling study

BACKGROUND

Population mental health in the United Kingdom (UK) has deteriorated, alongside worsening socioeconomic conditions, over the last decade. Policies such as Universal Basic Income (UBI) have been suggested as an alternative economic approach to improve population mental health and reduce health inequalities. UBI may improve mental health (MH), but to our knowledge, no studies have trialled or modelled UBI in whole populations. We aimed to estimate the short-term effects of introducing UBI on mental health in the UK working-age population.

METHODS AND FINDINGS

Adults aged 25 to 64 years were simulated across a 4-year period from 2022 to 2026 with the SimPaths microsimulation model, which models the effects of UK tax/benefit policies on mental health via income, poverty, and employment transitions. Data from the nationally representative UK Household Longitudinal Study were used to generate the simulated population (n = 25,000) and causal effect estimates. Three counterfactual UBI scenarios were modelled from 2023: "Partial" (value equivalent to existing benefits), "Full" (equivalent to the UK Minimum Income Standard), and "Full+" (retaining means-tested benefits for disability, housing, and childcare). Likely common mental disorder (CMD) was measured using the General Health Questionnaire (GHQ-12, score ≥4). Relative and slope indices of inequality were calculated, and outcomes stratified by gender, age, education, and household structure. Simulations were run 1,000 times to generate 95% uncertainty intervals (UIs). Sensitivity analyses relaxed SimPaths assumptions about reduced employment resulting from Full/Full+ UBI. Partial UBI had little impact on poverty, employment, or mental health. Full UBI scenarios practically eradicated poverty but decreased employment (for Full+ from 78.9% [95% UI 77.9, 79.9] to 74.1% [95% UI 72.6, 75.4]). Full+ UBI increased absolute CMD prevalence by 0.38% (percentage points; 95% UI 0.13, 0.69) in 2023, equivalent to 157,951 additional CMD cases (95% UI 54,036, 286,805); effects were largest for men (0.63% [95% UI 0.31, 1.01]) and those with children (0.64% [95% UI 0.18, 1.14]). In our sensitivity analysis assuming minimal UBI-related employment impacts, CMD prevalence instead fell by 0.27% (95% UI -0.49, -0.05), a reduction of 112,228 cases (95% UI 20,783, 203,673); effects were largest for women (-0.32% [95% UI -0.65, 0.00]), those without children (-0.40% [95% UI -0.68, -0.15]), and those with least education (-0.42% [95% UI -0.97, 0.15]). There was no effect on educational mental health inequalities in any scenario, and effects waned by 2026. The main limitations of our methods are the model's short time horizon and focus on pathways from UBI to mental health solely via income, poverty, and employment, as well as the inability to integrate macroeconomic consequences of UBI; future iterations of the model will address these limitations.

CONCLUSIONS

UBI has potential to improve short-term population mental health by reducing poverty, particularly for women, but impacts are highly dependent on whether individuals choose to remain in employment following its introduction. Future research modelling additional causal pathways between UBI and mental health would be beneficial.

Hospital pharmacists' mental health during home isolation in the post-pandemic era of COVID-19: influencing factors, coping strategies, and the mediating effect of resilience

Objective

There is a notable research gap on the mental health challenges faced by hospital pharmacists in the post-pandemic era. Therefore, the present study aims to explore mental health status, influencing factors, coping strategies, and the mediating effect of resilience of home quarantine hospital pharmacists (HQHPs).

Methods

An embedded mixed-method study was conducted in Zhengzhou, a megalopolis in central China, from 20 October to 3 November 2022. For the qualitative study, semi-structured interviews and focus group discussions were conducted among HQHPs to understand their mental health state，the factors that affect their mental health, and the alleviating strategies they used. For the quantitative study, the Generalized Anxiety Disorder Scale (GAD-7) and the Chinese version of the Connor-Davidson Resilience Scale (CD-RISC-25) were used to explore the mental health level of HQHPs. Meanwhile, the mediating effect of resilience was explored and verified with the bootstrap method or the structural equation model.

Results

20 HQHPs participated in the qualitative study. Two themes were identified in terms of the factors that influenced the HQHPs' mental health levels. The positive factors include optimism, family company, and connection with friends, while the negative factors include inadequate supplies, inadequate information, and other emergencies. 210 HQHPs participated in the quantitative study, with a median resilience score of 66 [55.75, 74] in the lowest score range and an anxiety score of 5 [2, 7] in the mild anxiety range. The correlation analysis showed that nine of the 10 influencing factors identified in qualitative research were positively correlated with CD-RISC-25 scores and negatively correlated with the GAD-7 score. The mediating effect of resilience on anxiety was significant (95% bootstrap CI [-1.818, -0.384], p<0.001; or 95% bootstrap CI [-1.174, -0.430], p<0.001).

Conclusion

Even in the post-epidemic era, hospital pharmacists face psychological challenges. They actively address these issues based on accumulated experience and a stabilized mindset. In this process, resilience plays a significant mediating role.

The crisis is over, long live the crisis: mental health in emerging adulthood during the course of the COVID-19 pandemic

Introduction

As a multidimensional stressor, the COVID-19 pandemic posed a significant threat to mental health, with studies showing younger age groups to be particularly vulnerable. Thus, this study aimed to monitor mental health, potential risk/protective factors, and pandemic-related variables among young university students during the pandemic.

Methods

Students of the University of Greifswald (M age = 23.0 years, 73.9% female) participated in five cross-sectional online surveys in December 2020 (N = 1,127), March 2021 (N = 760), June/July 2021 (N = 531), December 2021 (N = 1,226), and December 2022 (N = 814). Sociodemographic data, depression and anxiety severity, loneliness, quality of life, coping strategies, resilience, self-esteem, and emotion regulation were measured. First, results from December 2020 were compared to pre-pandemic normative data. Second, the time course during the pandemic was analyzed. Third, linear models were calculated to examine the influence of risk and protective factures on depression and anxiety severity.

Results

Higher levels of depression, anxiety, and loneliness, as well as lower levels of self-esteem, physical and mental health, social relationships and well-being were found in December 2020 compared to pre-pandemic. Levels of depression and anxiety severity peaked in December 2022. Female sex, loneliness, and previous mental treatment showed associations with higher depression and anxiety severity, while higher self-esteem, resilience and use of reappraisal strategies appeared to act as protective factors.

Discussion

The study indicates the pandemic's detrimental impact on students' mental health and quality of life. Identified risk and protective factors provide guidance for tailored prevention and treatment, as well as the design of measures for future pandemics and other crisis.

Estimating the effectiveness of an enhanced 'Improving Access to Psychological Therapies' (IAPT) service addressing the wider determinants of mental health: a real-world evaluation

BACKGROUND

Addressing the wider determinants of mental health alongside psychological therapy could improve mental health service outcomes and population mental health.

OBJECTIVES

To estimate the effectiveness of an enhanced 'Improving Access to Psychological Therapies' (IAPT) mental health service compared with traditional IAPT in England. Alongside traditional therapy treatment, the enhanced service included well-being support and community service links.

DESIGN

A real-world evaluation using IAPT's electronic health records.

SETTING

Three National Health Service IAPT services in England.

PARTICIPANTS

Data from 17 642 service users classified as having a case of depression and/or anxiety at baseline.

INTERVENTION

We compared the enhanced IAPT service (intervention) to an IAPT service in a different region providing traditional treatment only (geographical control), and the IAPT service with traditional treatment before additional support was introduced (historical control).

PRIMARY OUTCOME MEASURES

Patient Health Questionnaire-9 (PHQ-9) Depression Scale (score range: 0-27) and Generalised Anxiety Disorder-7 (GAD-7) Anxiety Scale (score range: 0-21); for both, lower scores indicate better mental health. Propensity scores were used to estimate inverse probability of treatment weights, subsequently used in mixed effects regression models.

RESULTS

Small improvements (mean, 95% CI) were observed for PHQ-9 (depression) (-0.21 to -0.32 to -0.09) and GAD-7 (anxiety) (-0.23 to -0.34 to -0.13) scores in the intervention group compared with the historical control. There was little evidence of statistically significant differences between intervention control and geographical control.

CONCLUSIONS

Embedding additional health and well-being (H&W) support into standard IAPT services may lead to improved mental health outcomes. However, the lack of improved outcomes compared with the geographical control may instead reflect a more general improvement to the intervention IAPT service. It is not clear from our findings whether an IAPT service with additional H&W support is clinically superior to traditional IAPT models.

Trajectories and correlates of poor mental health in India over the course of the COVID-19 pandemic: a nationwide survey

INTRODUCTION

The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over 2 years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context.

METHODS

We used data from the Real-Time Insights of COVID-19 in India cohort study (N=3709). We used covariate-adjusted linear regression models with generalised estimating equations to assess associations between mental health (Patient Health Questionnaire (PHQ-4) score; range 0-12) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender and rural/urban residence.

RESULTS

Mental health symptoms dropped immediately following the lockdown period but rose again during the delta and omicron waves. Associations between mental health and later pandemic stages were stronger for adults 45 years of age and older (p<0.001). PHQ-4 scores were significantly associated with all pandemic characteristics considered, including estimated COVID-19 deaths (PHQ-4 difference of 0.10 units; 95% CI 0.06 to 0.13), government stringency index (0.14 units; 95% CI 0.11 to 0.18), self-reported major financial impacts (1.20 units; 95% CI 1.09 to 1.32) and COVID-19 infection in the household (0.36 units; 95% CI 0.23 to 0.50).

CONCLUSION

While the lockdown period and associated financial stress had the largest mental health impacts on Indian adults, the effects of the pandemic on mental health persisted over time, especially among middle-aged and older adults. Results highlight the importance of investments in mental health supports and services to address the consequences of cyclical waves of infections and disease burden due to COVID-19 or other emerging pandemics.

A Comparison of ChatGPT and Fine-Tuned Open Pre-Trained Transformers (OPT) Against Widely Used Sentiment Analysis Tools: Sentiment Analysis of COVID-19 Survey Data

BACKGROUND

Health care providers and health-related researchers face significant challenges when applying sentiment analysis tools to health-related free-text survey data. Most state-of-the-art applications were developed in domains such as social media, and their performance in the health care context remains relatively unknown. Moreover, existing studies indicate that these tools often lack accuracy and produce inconsistent results.

OBJECTIVE

This study aims to address the lack of comparative analysis on sentiment analysis tools applied to health-related free-text survey data in the context of COVID-19. The objective was to automatically predict sentence sentiment for 2 independent COVID-19 survey data sets from the National Institutes of Health and Stanford University.

METHODS

Gold standard labels were created for a subset of each data set using a panel of human raters. We compared 8 state-of-the-art sentiment analysis tools on both data sets to evaluate variability and disagreement across tools. In addition, few-shot learning was explored by fine-tuning Open Pre-Trained Transformers (OPT; a large language model [LLM] with publicly available weights) using a small annotated subset and zero-shot learning using ChatGPT (an LLM without available weights).

RESULTS

The comparison of sentiment analysis tools revealed high variability and disagreement across the evaluated tools when applied to health-related survey data. OPT and ChatGPT demonstrated superior performance, outperforming all other sentiment analysis tools. Moreover, ChatGPT outperformed OPT, exhibited higher accuracy by 6% and higher F-measure by 4% to 7%.

CONCLUSIONS

This study demonstrates the effectiveness of LLMs, particularly the few-shot learning and zero-shot learning approaches, in the sentiment analysis of health-related survey data. These results have implications for saving human labor and improving efficiency in sentiment analysis tasks, contributing to advancements in the field of automated sentiment analysis.

[Everyday Life and Mental Health of Elderly with Cognitive Impairment During the Covid-19 Pandemic]

OBJECTIVE

The aim is to analyze pandemic-related effects on everyday life and psychosocial health in the understudied vulnerable group of cognitively impaired elderly people living at home.

METHODS

Structured telephone interviews in 2020 (n+=+141) and 2021 (n+=+107) were used to survey over-65s with cognitive impairment (MMSE Ø 23.4). The results from the 2021 survey presented here reflect experiences and attitudes, effects on daily life and health care, and psychosocial burdens and resources. Longitudinal analysis of selected indicators of burden is provided for n+=+66.

RESULTS

Even in the face of increasing concerns and moderate impacts on everyday life and health care, overall psychosocial health is proving to be good and largely stable over time.

CONCLUSION

Respondents have high levels of personal and social resources, and their coping with limitations is characterized by acceptance and willingness to adapt.

The interplay among individuals' distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis

The reduction of social interactions through non-pharmaceutical interventions (NPIs) has been shown to effectively curb COVID-19 transmission. However, these control measures were often accompanied by changes in people's daily routines and constraints on their activity space, which could lead to mental distress (i.e., anxiety and depression). This study examined the interplay among individuals' anxiety, depression, daily activities, and perceptions of COVID-19 and neighborhood cohesion. Taking Hong Kong as an example, an online survey (N = 376) was conducted to collect data from participants between March 14 to May 11, 2022. The data include respondents' self-reported anxiety and depressive symptoms, daily activities (e.g., smartphone use), perceptions of COVID-19 (e.g., the possibility of infecting COVID-19), and perceptions of neighborhood cohesion. Using network analysis, we found that excessive smartphone use, life disturbance by COVID-19, and a community with people getting along well with each other were significant factors associated with participants' anxiety and depression. Using critical path analysis, we observed that NPIs reduced human mobility, led to delayed bedtime, and increased smartphone use, which were associated with participants' mental distress. We also found that NPIs and COVID-19 were associated with people's perceptions of infection and the severity of COVID-19 and human mobility flexibility, which may further lead to mental distress. Our results also demonstrated that people with high education levels were vulnerable. These results provided important insights for designing appropriate interventions without generating deleterious impacts on people's mental health in the future.

Defense mechanisms are associated with mental health symptoms across six countries

Defense mechanisms are adaptative processes that are related to mental health and psychological functioning and may play an important role in adaptation to distress, as well as in mental health interventions. The present study aimed to compare the use of defense mechanisms and their relationship to mental health symptoms across six countries. In a large-scale descriptive study, we collected data from community- based individuals (N=19,860) in the United States, Australia, Canada, Germany, Italy, and the United Kingdom about the use of defense mechanisms and experienced mental health symptoms during the early phase of the pandemic. We found that the use of defense mechanism categories was similar across countries. Moreover, lower defensive functioning, specifically, neurotic and immature defenses were related to experiencing higher distress across countries, whereas mature defenses were generally inversely related to symptoms. Furthermore, these findings were relatively similar across the six countries. Cross-cultural research on defense mechanisms and mental health has important clinical implications. Our results are consistent with the goal of promoting more adaptive defensive functioning to increase psychological well-being and mitigate the detrimental impact of situational stress.

The combined impact of social networks and connectedness on anxiety, stress, and depression during COVID-19 quarantine: a retrospective observational study

Introduction

The COVID-19 pandemic and associated quarantine measures have precipitated a surge in mental health disorders, particularly depression and anxiety. Government policies and restrictions on physical activity have contributed to this phenomenon, as well as diminished subjective social connectedness and exacerbated objective social isolation. As two dimensions of social isolation, it is worth noting that subjectively perceived social connectedness serves as a protective factor for mental health, whereas the decline in the size of objectively evaluated social networks poses a significant risk. However, research investigating the combined influence of these two dimensions remains limited.

Methods

This study used an online survey to collect data to investigate the effects of objective social connectedness and objective social networks on anxiety, stress, and depression during COVID-19 quarantine. A total of 485 participants were analyzed using statistical methods, including paired t-test, Pearson correlation analysis, linear regression, cluster analysis, ANOVA, and moderated mediated.

Results

The study found that anxiety and depression scores increased during the quarantine, with age, education, and social connectedness scores associated with the increase. Pre-quarantine anxiety and depression levels were strongly correlated with mental health status during quarantine. Cluster analysis, respectively, revealed three clusters for those without increasing anxiety and depression scores. The study also found that objective social network influences the impact of subjective social connectedness on pre-quarantine mental health, which in turn affects anxiety and depression levels during quarantine.

Conclusion

The study identified that quarantine increased anxiety and depression, with age being protective, and education and subjective social connectedness as risk factors. The study also emphasizes the comprehensive impact of objective and subjective social isolation. Although individuals perceive the same degree of social connectedness, those with smaller social networks are more prone to developing symptoms of anxiety and depression, which are also more likely to worsen during quarantine.

Generational differences in mental health trends in the twenty-first century

Given the observed deterioration in mental health among Australians over the past decade, this study investigates to what extent this differs in people born in different decades-i.e., possible birth cohort differences in the mental health of Australians. Using 20 y of data from a large, nationally representative panel survey (N = 27,572), we find strong evidence that cohort effects are driving the increase in population-level mental ill-health. Deteriorating mental health is particularly pronounced among people born in the 1990s and seen to a lesser extent among the 1980s cohort. There is little evidence that mental health is worsening with age for people born prior to the 1980s. The findings from this study highlight that it is the poorer mental health of Millennials that is driving the apparent deterioration in population-level mental health. Understanding the context and changes in society that have differentially affected younger people may inform efforts to ameliorate this trend and prevent it continuing for emerging cohorts.

Age Differences in Psychological Distress After Multiple Disaster Exposures: The Effect of Multidimensional Negative COVID-19 Impacts

OBJECTIVE

This study examined how the multidimensional negative coronavirus disease (COVID-19) impacts contextualized the age differences in psychological distress following exposures to tornadoes and the COVID-19 pandemic.

METHODS

Data were from a 2-wave panel study conducted at T1 (October 2020-August 2021) and T2 (May-August 2022). Latent class analysis was conducted to explore the patterns of negative COVID-19 impacts based on a sample of 1134 at T1. Negative binomial regressions were performed to examine the age differences in psychological distress at T2, based on the working sample (N = 554), as well as the moderating effect of identified class membership, with baseline psychological distress controlled.

RESULTS

Three latent classes were identified: class 1 "low overall impacts," class 2 "moderate overall impacts with high emotional distress," and class 3 "severe overall impacts." Individuals ages 65 and over reported lower psychological distress at T2 relative to those ages 18-34 and 35-49. However, compared to people ages 18-34, 35-49, and 50-64, those ages 65 and over reported the greatest increases in T2 psychological distress if they had experienced moderate or severe overall COVID-19 impacts at T1.

CONCLUSION

There is a pressing need for mental health interventions that are tailored to multi-disaster scenarios and age-related differences in long-term disaster recovery.

The prevalence of mental distress changes before and during the COVID-19 pandemic: a study on physicians in Turkey

BACKGROUND

The emergence of the COVID-19 pandemic may adversely affect the physicians' mental health differently.

AIMS

This study aimed to investigate the degree of changes in mental distress in physicians through two cross-sectional studies before and during the COVID-19 pandemic and explore factors associated with the change of mental distress status of participants between two-time periods.

METHODS

This cross-sectional, web-based survey collected demographic data and mental health measurements with the 12-item General Health Questionnaire from 416 and 522 physicians before and during COVID-19, respectively. Mixed-effects ordinal logistic regression analyses were performed to assess the factors associated with the change of mental distress status.

RESULTS

During the outbreak, a total of 319 of the 522 participants reported a clinically significant level of mental distress compared with 123 of 416 participants before COVID-19. Higher levels of mental distress were observed in all socio-demographic groups during COVID-19 compared with before, with more than two-fold higher prevalence of mental health deterioration in general.

CONCLUSIONS

This study suggests a significant deterioration in mental health status after the occurrence of COVID-19 compared with before. The mental health of physicians working in all medical specialty groups, especially those in internal and surgical specialties, may require special attention.

Seeking help for mental health during the COVID-19 pandemic: A longitudinal analysis of adults' experiences with digital technologies and services

The COVID-19 pandemic brought about dramatic changes in how patients access healthcare from its outset. Lockdown restrictions and remote working led to a proliferation of digital technologies and services, which also impacted mental health provisions. Against the backdrop of new and changing support services, along with an unprecedented emphasis on mental health, relatively little is known about how adults sought out and received support for their mental health during this period. With a sample of 27,574 adults assessed longitudinally online over 12 months of the pandemic in the UK, we analysed reports of help-seeking for mental health, as well as sources of treatment or support and the perceived helpfulness of treatments received. We observed that the proportions of participants who reported seeking help remained relatively consistent throughout the 12-month period (ranging from 12.6% to 17.0%). Online talking therapies were among the most frequently sought sources (15.3%), whereas online self-guided treatments were among the least frequently sought sources (5%). Telephone lines, both NHS and non-governmental, had marked treatment 'gaps'. These treatment gaps, where individuals sought treatment but did not receive it, were especially evident for men and older adults. Our findings underscore online talking therapies as being a widely-sought and helpful source of mental health support. This is important given the current global need for accessible treatment options.

Anxiety among healthcare workers during the COVID-19 pandemic: a longitudinal study

Background

During the COVID-19 pandemic, many healthcare workers faced extreme working conditions and were at higher risk of infection with the coronavirus. These circumstances may have led to mental health problems, such as anxiety, among healthcare workers. Most studies that examined anxiety among healthcare workers during the COVID-19 pandemic were cross-sectional and focused on the first months of the pandemic only. Therefore, this study aimed to investigate the longitudinal association between working in healthcare and anxiety during a long-term period (i.e., 18 months) of the COVID-19 pandemic.

Methods

Data were used from online questionnaires of the Lifelines COVID-19 prospective cohort with 22 included time-points (March 2020-November 2021). In total, 2,750 healthcare workers and 9,335 non-healthcare workers were included. Anxiety was assessed with questions from the Mini-International Neuropsychiatric Interview, and an anxiety sum score (0-7) was calculated. Negative binomial generalized estimating equations (GEE), adjusted for demographic, work and health covariates, were used to examine the association between working in healthcare and anxiety.

Results

Anxiety sum scores over time during the COVID-19 pandemic were similar for healthcare workers and non-healthcare workers. No differences between the anxiety sum scores of healthcare workers and non-healthcare workers were found [incidence rate ratio (IRR) = 0.97, 95% CI = 0.91-1.04].

Conclusion

This study did not find differences between healthcare workers and non-healthcare in perceived anxiety during the COVID-19 pandemic.

Changing trends in the global burden of mental disorders from 1990 to 2019 and predicted levels in 25 years

AIMS

The burden of mental disorders is increasing worldwide, thus, affecting society and healthcare systems. This study investigated the independent influences of age, period and cohort on the global prevalence of mental disorders from 1990 to 2019; compared them by sex; and predicted the future burden of mental disorders in the next 25 years.

METHODS

The age-specific and sex-specific incidence of mental disorders worldwide was analysed according to the general analysis strategy used in the Global Burden of Disease Study in 2019. The incidence and mortality trends of mental disorders from 1990 to 2019 were evaluated through joinpoint regression analysis. The influences of age, period and cohort on the incidence of mental disorders were evaluated with an age-period-cohort model.

RESULTS

From 1990 to 2019, the sex-specific age-standardized incidence and disability-adjusted life years (DALY) rate decreased slightly. Joinpoint regression analysis from 1990 to 2019 indicated four turning points in the male DALY rate and five turning points in the female DALY rate. In analysis of age effects, the relative risk (RR) of incidence and the DALY rate in mental disorders in men and women generally showed an inverted U-shaped pattern with increasing age. In analysis of period effects, the incidence of mental disorders increased gradually over time, and showed a sub-peak in 2004 (RR, 1.006 for males; 95% CI, 1.000-1.012; 1.002 for women, 0.997-1.008). Analysis of cohort effects showed that the incidence and DALY rate decreased in successive birth cohorts. The incidence of mental disorders is expected to decline slightly over the next 25 years, but the number of cases is expected to increase.

CONCLUSIONS

Although the age-standardized burden of mental disorders has declined in the past 30 years, the number of new cases and deaths of mental disorders worldwide has increased, and will continue to increase in the near future. Therefore, relevant policies should be used to promote the prevention and management of known risk factors and strengthen the understanding of risk profiles and incidence modes of mental disorders, to help guide future research on control and prevention strategies.

Psychological, endocrine and polygenic predictors of emotional well-being during the COVID-19 pandemic in a longitudinal birth cohort

The COVID-19 pandemic severely affected the lives of families and the well-being of both parents and their children. Various factors, including prenatal stress, dysregulated stress response systems, and genetics may have influenced how the stress caused by the pandemic impacted the well-being of different family members. The present work investigated if emotional well-being during the COVID-19 pandemic could be predicted by developmental stress-related and genetic factors. Emotional well-being of 7-10 year-old children (n = 263) and mothers (n = 241) (participants in a longitudinal German birth cohort (POSEIDON)) was assessed during the COVID-19 pandemic using the CRISIS questionnaire at two time periods (July 2020-October 2020; November 2020-February 2021). Associations of the children's and mothers' well-being with maternal perceived stress, of the children's well-being with their salivary and morning urine cortisol at 45 months, and polygenic risk scores (PRSs) for depression, schizophrenia, loneliness were investigated. Lower emotional well-being was observed in both children and mothers during compared to before the pandemic, with the children's but not the mothers' emotional well-being improving over the course of the pandemic. A positive association between the child and maternal emotional well-being was found. Prenatally assessed maternal perceived stress was associated with a lower well-being in children, but not in mothers. Cortisol measures and PRSs were not significantly associated with the children's emotional well-being. The present study confirms that emotional well-being of children and mothers are linked, and were negatively affected by the COVID-19 pandemic, with differences in development over time.

Impact of the COVID-19 pandemic on the mental health of children and adolescents: A systematic review and meta-analysis of longitudinal studies

BACKGROUND

Children's and adolescents' mental health has been affected since the onset of the coronavirus disease (COVID-19) pandemic, receiving global attention. We conducted a systematic review and meta-analysis of longitudinal studies to assess the extent of the mental health changes of children and adolescents in the aftermath of the pandemic.

METHODS

We searched PubMed, Embase, Web of Science, and PsycINFO to explore the pandemic's impact on children and adolescents' mental health; longitudinal studies were included. We used the random effects model to estimate the standardized mean differences (SMD) with 95 % confidence intervals (CI).

RESULTS

Twenty articles were included. Results showed that there was an increase in anxiety (SMD = 0.18, 95 % CI 0.05-0.32) and depressive symptoms (SMD = 0.22, 95 % CI 0.13-0.32) in children and adolescents after the pandemic. Anxiety and depressive symptoms noticeably increased from April to May 2020, subsequently decreased, but saw a small resurgence during the second wave of the pandemic. Anxiety change varied by region; highest in Asia (SMD = 0.38, 95 % CI 0.25-0.51).

LIMITATIONS

Heterogeneity was high in this study, with high variability in psychiatric symptoms among individuals.

CONCLUSIONS

This study on changes in children's and adolescents' mental health, anxiety and depression symptoms showed varying degrees of deterioration. Changes in symptoms were influenced by time and region and showed fluctuations.

Mental Distress Among Norwegian Adults During the COVID-19 Pandemic: Predictors in Initial Response and Subsequent Trajectories

Objectives: To identify factors associated with change in mental distress at the onset of the COVID-19 pandemic, relative to pre-pandemic levels, and with changes during the following 1.5 years. Methods: The prospective Norwegian Mother, Father and Child Cohort Study collected eight waves of data during the pandemic (March 2020-September 2021) in 105,972 adult participants used for this analyses. A piecewise latent growth model was fitted to identify initial level and longitudinal changes in mental distress. Results: Mental distress peaked at the beginning of the pandemic. Factors associated with initial increases were: medical conditions, living alone, history of psychiatric disorders, lower education, female sex, younger age, and obesity. Being quarantined or infected with SARS-CoV-2 were associated with increasing distress while being vaccinated was associated with reduced mental distress. Conclusion: Having a chronic disease and being quarantined or infected by the SARS-CoV-2 virus were associated with more mental distress during the pandemic. This knowledge is important for planning interventions to support individuals during future pandemics and other societal crises.

The effect of brief exposure to virtual nature on mental wellbeing in adolescents

Adolescence is a time of multiple transitions and a vulnerability period for mental health difficulties. There are many barriers to the treatment of mental health conditions which is one reason for developing alternatives to help improve efficacy in treatment and prevention. One approach is to use nature-based interventions (NBIs) to improve mental wellbeing. In this experimental proof-of-principle intervention study, we randomly allocated a sample of adolescents to brief exposure (6 min) to either a virtual woodland nature video or a busy train journey and tested the effect on mental wellbeing. Results showed beneficial effects in the nature condition on several self-reported outcomes including stress, relaxation, affect, mood, attention, nature connection and nature spirituality. The intervention was mainly acceptable and feasible to do suggesting that overall brief virtual nature interventions may have utility in a range of mental health contexts for adolescents including as self-help universal or targeted prevention strategies, adjunct to psychological therapy and as preparation for more intensive NBIs. Additionally, brief virtual nature interventions support accessibility for those who may be limited on time, unable to access real-life nature or who may be more biophobic.

The COVID-19 pandemic as an existential threat: Evidence on young people's psychological vulnerability using a Multifaceted Threat Scale

Research offers evidence that younger generations suffered the most psychologically from the COVID-19 crisis. In this article, we look at the onset of the pandemic to understand the reasons for this increased vulnerability. We use the COVID-19 Multifaceted Threat Scale to explore potential mechanisms underlying generational differences in psychological well-being. In a sample of 994 individuals (+18) obtained in the USA and India, we first assess levels of perceived psychological well-being across the generations. Thus, we measure cross-generational differences in the perceived levels of financial, relational, existential, health and lifestyle threats experienced by respondents seven months after the pandemic broke out. In accordance with earlier findings, the results confirm that people from Generation Z and Generation Y reported worse levels of psychological well-being than older adults. Our results suggest that the heightened existential threat, as reflected in a loss of meaning and feelings of being "trapped", mediate the association between younger generations and worse psychological well-being. No substantial intergenerational differences were found for other threat dimensions. The observed effects were consistent across both national contexts, hence stressing the importance of existential concerns as a mechanism underlying the psychological vulnerability of younger people in the historical contingencies of the COVID-19 pandemic.

Public perspectives on inequality and mental health: A peer research study

INTRODUCTION

Associations between structural inequalities and health are well established. However, there is limited work examining this link in relation to mental health, or that centres public perspectives. This study explores people's experience and sense-making of inequality in their daily lives, with particular consideration of impacts on mental health.

METHODS

We conducted a peer research study. Participants had to live in one of two London Boroughs and have an interest in inequalities and mental health. Using social media, newsletters, local organisations and our peer researchers' contacts, we recruited 30 participants who took photos representing their experience of inequality and discussed them during semi-structured interviews. Data were analysed using reflexive thematic analysis.

RESULTS

Three themes were identified in this study: (1) inequalities are unjust, multilayered and intertwined with mental health. Accounts demonstrated a deep understanding of inequalities and their link to mental health outcomes, describing inequalities as 'suffering' and 'not good for anyone'. Financial, housing, immigration and healthcare problems exacerbated poor mental health, with racism, gender-based violence and job loss also contributing factors for both poor mental health and experiences of inequality; (2) inequalities exclude and have far-reaching mental health consequences, impacting personal sense of belonging and perceived societal value and (3) moving forwards-addressing long-standing inequality and poor public mental health necessitated coping and resilience strategies that are often unacknowledged and undervalued by support systems.

CONCLUSION

Lived experience expertise was central in this study, creating an innovative methodological approach. To improve public mental health, we must address the everyday, painful structural inequalities experienced by many as commonplace and unfair. New policies and strategies must be found that involve communities, redistributing resources and power, building on a collective knowledge base, to coproduce actions combatting inequalities and improving population mental health.

PATIENT OR PUBLIC CONTRIBUTION

This study was peer-led, designed and carried out by researchers who had experiences of poor mental health. Six authors of the paper worked as peer researchers on this study.

Impact of work schedule characteristics on teacher mental health and burnout symptoms while remote working

BACKGROUND

During the COVID-19 pandemic, teachers quickly shifted to remote teaching with many teachers experiencing increased work demands with limited resources, affecting both mental health and work.

METHODS

Within a cross-sectional study, we evaluated the relationship between one type of work demand, non-standard work schedule characteristics, and depressive and burnout symptoms in kindergarten through 8th grade U.S. teachers working remotely in May 2020. We further assessed the impact of COVID-19 and work resources. Work schedule characteristics were self-assessed across six domains on a 5-point frequency scale from always (1) to never (5). We used multilevel Poisson models to calculate prevalence ratios (PRs) and 95% confidence intervals (CIs).

RESULTS

In fully adjusted models, frequently working unexpectedly was associated with a higher prevalence of depressive symptoms (PR = 1.18, 95% CI = 1.07-1.31, p < 0.01), high emotional exhaustion (PR = 1.17, 95% CI = 1.05-1.30, p < 0.01), and high depersonalization (PR = 1.40, 95% CI = 1.02-1.92, p = 0.03). Remote work resources were significantly associated with a lower prevalence of depressive symptoms (PR = 0.88, 95% CI = 0.79-0.98, p = 0.02). There was a linear association between low coworker support and a low sense of personal accomplishment (PR = 0.68, 95% CI = 0.53-0.87, p < 0.01).

CONCLUSIONS

Frequently having to work unexpectedly while remote teaching was associated with symptoms of depression and burnout during the COVID-19 pandemic. Workplaces should support predictable working times to lessen the disruption caused by unexpected work to promote worker well-being.

Mental health and life satisfaction among those advised to shield during the COVID-19 pandemic in the UK: a secondary analysis of the Understanding Society longitudinal study

Introduction

During the COVID-19 pandemic in the UK, those considered most vulnerable to adverse outcomes from infection were designated "clinically extremely vulnerable" and advised to "shield." This involved prolonged confinement at home with strict limits on face-to-face contact, beyond national restrictions. Shielding ended in September 2021 and was considered likely to have harmed mental health and wellbeing. As the UK moved toward a new phase of "living with COVID-19" the mental health and wellbeing experiences of those advised to shield may have diverged from the general population.

Methods

This study is a secondary analysis of nine "COVID-19 Survey" waves of Understanding Society, a longitudinal study of UK participants covering April 2020 to September 2021 alongside pre-pandemic baseline data. The prevalence of clinically significant psychological distress (General Health Questionnaire 12) and low life satisfaction were examined at each wave for participants with longitudinal responses across all waves, stratified by receipt of shielding guidance (Received n = 410, Not received n = 6,878). Mixed effects regression modeling examined associations between shielding guidance receipt and mental health and life satisfaction when adjusting for potential confounders including age and sex, pre-pandemic mental health/life satisfaction, and loneliness.

Results

Those who received shielding guidance were more likely to experience poor mental health and low life satisfaction during the pandemic. However, this largely reflected differences in pre-pandemic baselines. Variation between waves broadly coincided with the changing burden of COVID-19 and associated restrictions, with similar patterns regardless of shielding guidance receipt. Regression modeling combining data across all waves indicated that receipt of shielding guidance did not independently predict adverse outcomes. However, poor pre-pandemic mental health and low life satisfaction, and frequent loneliness, as well as demographic factors including sex and age, consistently predicted adverse pandemic mental health and wellbeing.

Discussion

While those who received shielding guidance did on average experience poorer mental health and life satisfaction during the pandemic, this study suggests this largely reflects existing inequalities. Drawing on data throughout the shielding program, it addresses an existing evidence gap. These findings reinforce the importance of addressing existing mental health inequalities in the recovery from the current pandemic and for future preparedness.

Social distancing policy and mental health during COVID-19 pandemic: an 18-month longitudinal cohort study in South Korea

Background

Despite the effectiveness of social distancing policies in preventing the spread of Coronavirus Disease 2019 (COVID-19), their impact on mental health remains a concern. Longitudinal studies investigating the psychological effects of social distancing are limited.

Methods

Longitudinal data on psychological variables were collected eight times between May 2020 and November 2021 through online surveys in South Korea.

Results

The participants in the study reported a worsening of depressive and anxiety symptoms, suicide risk, and psychological distress with increasing levels of social distancing. Specifically, during the third wave, when social distancing levels peaked, the highest levels of depression, anxiety, and psychological distress were observed, and the second-lowest levels of vitality were reported. Furthermore, psychological risk factors, such as depressive symptoms, anxiety symptoms, and suicidal risk, were closely associated with vitality levels in daily life.

Discussions

During the pandemic, although social distancing helped prevent the spread of COVID-19, it also led to increased depression, anxiety, suicide risk, psychological distress, and decreased vitality. Engagement at a personal level in fundamental daily activities is important to cope with psychological distress. Our results indicate that commitment to fundamental daily activities and following routines is an important protective factor against psychological distress, notwithstanding COVID-19.

Mental health, stress, and well-being measured before (2019) and during (2020) COVID-19: a Swedish socioeconomic population-based study

OBJECTIVES

Compare mental health, stress, and well-being in the Swedish population as measured before and during the COVID-19 pandemic.

METHODS

Repeated cross-sectional design using data measured before (Jan-2019; n = 2791) and during (Oct/Nov-2020; n = 2926) COVID-19 pandemic in Swedish population-representative cohorts. Following constructs were measured: anxiety (Beck Anxiety Inventory), depression (Beck Depression Inventory-II), stress (Perceived Stress Scale-10 items), health-related quality of life (HRQOL[Functional Assessment of Cancer Therapy-General Population]) and self-rated health (SRH) was assessed with a single-item question.

RESULTS

When adjusting for age, sex, education, and income there were significantly higher levels of anxiety (M̂ = 9.15 vs. 8.48, p < 0.01) and depression (M̂ = 3.64 vs. 3.30, p = 0.03), lower levels of stress (M̂ = 14.06 vs. 14.91, p < 0.001), but worsened HRQOL (M̂ = 76.40 vs. 77.92, p < 0.01) and SRH (M̂ = 6.91 vs. 7.20, p < 0.001), observed in 2020 compared to 2019. For the negative effects seen in anxiety, depression, HRQOL, and SRH, higher income and education had a protective effect. The decrease in stress was also correlated with higher income.

CONCLUSIONS

The COVID-19 pandemic led to a small but significant worsening in mental health and well-being in the general Swedish population, where higher socioeconomic status seemed to have a protective effect.

Trajectories and correlates of poor mental health in India over the course of the COVID-19 pandemic: a nation-wide survey

Introduction

The COVID-19 pandemic had large impacts on mental health; however, most existing evidence is focused on the initial lockdown period and high-income contexts. By assessing trajectories of mental health symptoms in India over two years, we aim to understand the effect of later time periods and pandemic characteristics on mental health in a lower-middle income context.

Methods

We used data from the Real-Time Insights of COVID-19 in India (RTI COVID-India) cohort study (N=3,662). We used covariate-adjusted linear regression models with generalized estimating equations to assess associations between mental health (PHQ-4 score) and pandemic periods as well as pandemic characteristics (COVID-19 cases and deaths, government stringency, self-reported financial impact, COVID-19 infection in the household) and explored effect modification by age, gender, and rural/urban residence.

Results

Mental health symptoms dropped immediately following the lockdown period but rose again during the delta and omicron waves. Associations between mental health and later pandemic stages were stronger for adults 45 years of age and older (p<0.001). PHQ-4 scores were significantly and independently associated with all pandemic characteristics considered, including estimated COVID-19 deaths (PHQ-4 difference of 0.041 SD units; 95% Confidence Interval 0.030 - 0.053), government stringency index (0.060 SD units; 0.048 - 0.072), self-reported major financial impacts (0.45 SD units; 0.41-0.49), and COVID-19 infection in the household (0.11 SD units; 0.07-0.16).

Conclusion

While the lockdown period and associated financial stress had the largest mental health impacts on Indian adults, the effects of the pandemic on mental health persisted over time, especially among middle-age and older adults. Results highlight the importance of investments in mental health supports and services to address the consequences of cyclical waves of infections and disease burden due to COVID-19 or other emerging pandemics.

Racial-ethnic, gender identity, and sexual orientation disparities in COVID-19-related social and health outcomes: A decomposition analysis

Despite the growing literature on racial-ethnic disparities during the pandemic, less is known about the explanatory mechanisms of these disparities and inequalities across other axes, such as gender and sexual identities. We studied the levels and sources of racial-ethnic, gender identity, and sexual minority disparities in social (i.e., unmet resource needs) and health (i.e., hospitalization) outcomes among individuals diagnosed with COVID-19, hypothesizing differential age structure, underlying health, and work and living arrangements as contributors to inequalities. Using large-scale administrative data from Chicago and adjusting for covariates, we found substantial racial-ethnic and gender identity disparities in both outcomes, and weak evidence of sexual minority disparities in unmet needs. Subsequent decomposition analyses revealed that living in larger households, having a higher share of non-adult cases, and facing higher burdens of chronic illness, obesity, and unemployment each statistically significantly drove racial-ethnic disparities in unmet needs, but these together explained less than 15% of the disparities. Similarly, about 20% of the Black-White gap in hospitalization resulted from disparities in underlying health and unemployment, whereas a higher proportion of non-adult cases or higher unemployment rates respectively proved the only significant pathways to partially explain transgender individuals' disadvantages in unmet needs (12%) or hospitalization (6%). These findings highlight the importance of considering multiple dimensions of social differences in studying health disparities, the vulnerabilities of transgender and non-adult communities during the pandemic, and the valid yet quite limited roles of previously suggested sociodemographic factors in accounting for COVID-19-related categorical inequalities.

Uncovering the social determinants of brain injury rehabilitation

Social determinants of health (SDH), such as social isolation and loneliness, are often more frequently experienced in brain injury survivors. The paper explores the personal experiences of loneliness among brain injury survivors during lockdown to negate health inequalities and improve rehabilitation for this population in the future. Twenty-four brain injury survivors participated in semi-structured interviews and questionnaires relating to loneliness, resilience and wellbeing. Three themes (the experience of loneliness, loneliness during the pandemic and loneliness after the pandemic) explored survivors' experiences of loneliness generally post-brain injury, but also chronicle how these feelings developed in lockdown and survivors' feelings regarding society returning to 'normal'. Future interventions should focus on reframing survivors' beliefs regarding societal expectations and minimise the pressure they experience to keep up with their peers physically and emotionally. Additionally, we recommend creating accessible peer support options for all brain injury survivors as an important step for alleviating loneliness.

Community interventions for anxiety and depression in adults and young people: A systematic review

BACKGROUND

Growing evidence suggests that community-based interventions may be effective for anxiety and depression. This study aimed to describe studies of community interventions delivered to adults and/or young people, either in person or online, evaluated in randomised controlled trials and provide an indication as to their effectiveness, acceptability, quality of data and where possible, mechanisms of action. We included interventions delivered at and/or by museums, art galleries, libraries, gardens, music groups/choirs and sports clubs.

METHOD

We developed and followed a preregistered protocol: PROSPERO CRD42020204471. Randomised controlled trials in adults and young people were identified in an extensive search with no date/time, language, document type and publication status limitations. Studies were selected according to predetermined eligibility criteria and data independently extracted and then assessed using Risk of Bias 1. The studies were deemed too heterogeneous for meta-analysis and were therefore reported using a narrative synthesis.

RESULTS

Our analysis included 31 studies, with 2898 participants. Community interventions most studied in randomised controlled trials were community music (12 studies, 1432 participants), community exercise (14 studies, 955 participants) and community gardens/gardening (6 studies, 335 participants). The majority of studies were from high-income countries - many were in specific populations (such as those with physical health problems) and were generally of low quality. Dropout rates across the included studies were low (1 participant on average per 100 participants). The inadequate description of interventions limited identification of potential mechanisms of action.

DISCUSSION

The uncertainty of the evidence allows only a weak recommendation in support of community interventions for anxiety and depression. The results suggest community engagement is a promising area for wide-reaching interventions to be implemented and evaluated, but more high-quality trials are needed, especially in young people and under-represented communities.

Changes on depression and suicidal ideation under severe lockdown restrictions during the first wave of the COVID-19 pandemic in Spain: a longitudinal study in the general population

AIMS

To assess whether there is a change in the prevalence of depression and suicidal ideation after the strict lockdown measures due to the first wave of the COVID-19 pandemic in Spain, and to assess which are the factors associated with the incidence of a depressive episode or suicidal ideation during the lockdown.

METHODS

Data from a longitudinal adult population-based cohort from Madrid and Barcelona were analysed (n = 1103). Face-to-face home-based (pre-pandemic) and telephone interviews were performed. Depression and suicidal ideation were assessed through an adaptation of the Composite International Diagnostic Interview (CIDI 3.0). Population prevalence estimates and multivariable logistic regressions were computed.

RESULTS

Prevalence rates of depression changed significantly from before to after the COVID-19 outbreak (from 3.06% to 12.00%; p = 0.01) and per sex and age groups. Individuals reporting COVID-19 concerns (odds ratio [OR] = 3.11; 95% confidence interval [CI] = 1.45-6.69) and those feeling loneliness (OR = 1.99; 95% CI = 1.52-2.61) during the lockdown were at increased risk of developing depression during the confinement. Resilience showed a protective effect against the risk of depression (OR = 0.57; 95% CI = 0.39-0.83), while individuals perceiving social support during the confinement were at lower risk of developing suicidal thoughts (OR = 0.21; 95% CI = 0.09-0.46). Greater disability during the lockdown was also associated with the risk of suicidal ideation (OR = 2.77; 95% CI = 1.53-5.03).

CONCLUSIONS

Continuous reinforcement of mental health preventive and intervening measures is of global importance, particularly among vulnerable groups who are experiencing the most distress. Future research should strive to evaluate the long-term effects of the COVID-19 crisis on mental health.