Psychological Distress Before and During the COVID-19 Pandemic Among Adults in the United Kingdom Based on Coordinated Analyses of 11 Longitudinal Studies

The prevalence of common mental disorders across 18 ethnic groups in Britain during the COVID-19 pandemic: Evidence for Equality National Survey (EVENS)

BACKGROUND

The COVID-19 pandemic negatively impacted mental health in the general population in Britain. Ethnic minority people suffered disproportionately, in terms of health and economic outcomes, which may contribute to poorer mental health. We compare the prevalence of depression and anxiety across 18 ethnic groups in Britain during the COVID-19 pandemic.

METHODS

Secondary analysis of cross-sectional data (February-November 2021) from 12,161 participants aged 18-60 years old (N with data on outcomes = 11,540 for depression & 11,825 for anxiety), obtained from the Evidence for Equality National Survey (EVENS). Data were weighted to account for selection bias and coverage bias. Weighted regression models examined ethnic differences in depression (Centre for Epidemiologic Studies Depression Scale) and anxiety (Generalised Anxiety Disorder-7). Effect modification analyses explored whether ethnic differences in outcomes were consistent within age and sex sub-groups.

RESULTS

Compared to White British people, greater odds of anxiety caseness (and greater anxiety symptoms) were observed for Arab (OR = 2.57; 95 % CI = 1.35-4.91), Mixed White and Black Caribbean (1.57; 1.07-2.30), any other Black (2.22, 1.28-3.87) and any other Mixed (1.58; 1.08-2.31) ethnic groups. Lower odds of depression caseness (and lower depressive symptoms) were identified for Chinese (0.63; 0.46-0.85), Black African (0.60; 0.46-0.79), and any other Asian (0.55; 0.42-0.72) ethnic groups.

LIMITATIONS

Cross-sectional data limits the opportunity to identify changes in ethnic inequalities in mental health over time.

CONCLUSIONS

We have identified certain ethnic groups who may require more targeted mental health support to ensure equitable recovery post-pandemic. Despite finding lower levels of depression for some ethnic groups, approximately one third of people within each ethnic group met criteria for depression.

Socio-demographic variation in diagnosis of and prescribing for common mental illnesses among children and young people during the COVID-19 pandemic: time series analysis of primary care electronic health records

BACKGROUND

The impact of the COVID-19 pandemic on the mental health of children and young people (CYP) has been widely reported. Primary care electronic health records were utilised to examine trends in the diagnosing, recording and treating of these common mental disorders by ethnicity and social deprivation in Greater Manchester, England.

METHODS

Time-series analyses conducted using Greater Manchester Care Record (GMCR) data examined all diagnosed episodes of anxiety disorders and depression and prescribing of anxiolytics and antidepressants among patients aged 6-24 years. The 41-month observation period was split into three epochs: Pre-pandemic (1/2019-2/2020); Pandemic Phase 1 (3/2020-6/2021); Pandemic Phase 2 (7/2021-5/2022). Rate ratios for all CYP specific to sex, age, ethnicity, and neighbourhood-level Indices of Multiple Deprivation (IMD) quintile were modelled using negative binomial regression.

RESULTS

Depression and anxiety disorder rates were highest in females, CYP aged 19-24, and White and 'Other' ethnic groups. During Pandemic Phase 1, rates for these diagnoses fell in all demographic subgroups and then rose to similar levels as those recorded pre-pandemic. In Pandemic Phase 2, rates in Black and Mixed-ethnicity females rose to a significantly greater degree (by 54% and 62%, respectively) than those in White females. Prescribing rates increased throughout the study period, with significantly greater rises observed in non-White females and males. The temporal trends were mostly homogeneous across deprivation quintiles.

CONCLUSION

The observed fluctuations in frequency of recorded common mental illness diagnoses likely reflect service accessibility and patients' differential propensities to consult as well as changing levels of distress and psychopathology in the population. However, psychotropic medication prescribing increased throughout the observation period, possibly indicating a sustained decline in mental health among CYP, and also clinicians' responses to problems presented. The comparatively greater increases in frequencies of diagnosis recording and medication prescribing among ethnic minority groups warrants further investigation.

Changes in the prevalence of perceived discrimination and associations with probable mental health problems in the UK from 2015 to 2020: A repeated cross-sectional analysis of the UK Household Longitudinal Study

Background

Significant social and political changes occurred in the UK between 2015 and 2020. Few studies have examined population level trends in experiencing discrimination and mental health problems during this period.

Aims

To determine prevalence trends in perceived discrimination and probable mental health problems amongst UK adults during 2015-2020.

Method

Repeated cross-sectional data from the UK Household Longitudinal Study was used to estimate nationally representative trends in perceived discrimination and probable mental health problems (GHQ-12; 4+ threshold) among adults between 2015/2016-2019/2020 (25,756 observations). Weighted logistic regression models with post-estimation margins commands determined changes between survey waves controlling for sociodemographic characteristics. Mediation models explored whether changes in perceived discrimination prevalence trends explained trends in probable mental health problems.

Results

From 2015/2016 to 2019/2020 perceived discrimination and probable mental health problems increased significantly by 6·1% (95% CI: 3·4-8·8, p <·001) and 4·5% (95% CI: 1·3-7·7, p = ·006), respectively. These changes did not tend to reliably differ by sociodemographic grouping. Increased prevalence of probable mental health problems from 2015/2016 to 2019/2020 was partially explained (15·2% of association mediated) by the increase in perceived discrimination observed during the same time period.

Conclusions

Amongst UK adults, the prevalence of perceived discrimination and probable mental health problems increased between 2015/2016 to 2019/2020. Increases in perceived discrimination partially explained increases in probable mental health problems. National measures designed to reduce both discrimination and mental health problems have potential to make substantial improvements to public health and should be prioritised in the UK.

Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis

Economic determinants are important for population health, but actionable evidence of how policies can utilise these pathways remains scarce. This study employs a microsimulation framework to evaluate the effects of taxation and social security policies on population mental health. The UK economic crisis caused by the COVID-19 pandemic provides an informative context involving an economic shock accompanied by one of the strongest discretionary fiscal responses amongst OECD countries. The analytical setup involves a dynamic, stochastic, discrete-time microsimulation model (SimPaths) projecting changes in psychological distress given predicted economic outcomes from a static tax-benefit microsimulation model (UKMOD) based on different policy scenarios. We contrast projections of psychological distress for the working-age population from 2017 to 2025 given the observed policy environment against a counterfactual scenario where pre-crisis policies remained in place. Levels of psychological distress and potential cases of common mental disorders (CMDs) were assessed with the 12-item General Health Questionnaire (GHQ-12). The UK policy response to the economic crisis is estimated to have prevented a substantial fall (over 12 percentage points, %pt) in the employment rate in 2020 and 2021. In 2020, projected psychological distress increased substantially (CMD prevalence increase >10%pt) under both the observed and the counterfactual policy scenarios. Through economic pathways, the policy response is estimated to have prevented a further 3.4%pt [95%UI 2.8%pt, 4.0%pt] increase in the prevalence of CMDs, approximately 1.2 million cases. Beyond 2021, as employment levels rapidly recovered, psychological distress returned to the pre-pandemic trend. Sustained preventative effects on poverty are estimated, with projected levels 2.1%pt [95%UI 1.8%pt, 2.5%pt] lower in 2025 than in the absence of the observed policy response. The study shows that policies protecting employment during an economic crisis are effective in preventing short-term mental health losses and have lasting effects on poverty levels. This preventative effect has substantial public health benefits.

Socioeconomic inequalities in pandemic-induced psychosocial stress in different life domains among the working-age population

BACKGROUND

Psychosocial stress is considered a risk factor for physical and mental ill-health. Evidence on socioeconomic inequalities with regard to the psychosocial consequences of the COVID-19 pandemic in Germany is still limited. We aimed to investigate how pandemic-induced psychosocial stress (PIPS) in different life domains differed between socioeconomic groups.

METHODS

Data came from the German Corona-Monitoring nationwide study - wave 2 (RKI-SOEP-2, November 2021-February 2022). PIPS was assessed using 4-point Likert scales with reference to the following life domains: family, partnership, own financial situation, psychological well-being, leisure activity, social life and work/school situation. Responses were dichotomised into "not stressed/slightly stressed/rather stressed" (0) versus "highly stressed" (1). The sample was restricted to the working-age population in Germany (age = 18-67 years, n = 8,402). Prevalence estimates of high PIPS were calculated by sex, age, education and income. Adjusted prevalence ratios (PRs) were estimated using Poisson regression to investigate the association between education/income and PIPS; high education and income were the reference groups.

RESULTS

The highest stress levels were reported in the domains social life and leisure activity. Women and younger participants reported high stress levels more frequently. The highest inequalities were found regarding people's own financial situation, and PIPS was higher in low vs. high income groups (PR 5.54, 95% CI 3.61-8.52). Inequalities were also found regarding partnerships with higher PIPS in low vs. high education groups (PR 1.68, 95% CI 1.13-2.49) - and psychological well-being with higher PIPS in low vs. high income groups (PR 1.52, 95% CI 1.14-2.04).

CONCLUSION

Socioeconomic inequalities in PIPS were found for different life domains. Generally, psychosocial support and preventive interventions to help people cope with stress in a pandemic context should be target-group-specific, addressing the particular needs and circumstances of certain socioeconomic groups.

Pre-Pandemic Factors Associated with Pandemic Impact and Psychosocial Distress Among Mothers of Young Children

OBJECTIVE

To describe COVID-19 pandemic impact among mothers of young children (0-8 yrs.) and assess pre-pandemic factors associated with greater pandemic impact and psychosocial distress.

METHODS

Mothers from three US birth cohorts (n=301, mean child age 2.4 years) reported on demographics and psychosocial distress (anxiety, perceived stress, financial stress) before the pandemic (2/2015-2/2020). During the pandemic (7/2020-6/2021), they completed a supplemental survey about the impact of the pandemic on their families (Coronavirus Impact Scale) and psychosocial distress. Multivariable linear and ordinal logistic regression were used to evaluate pre-pandemic factors associated with pandemic impact overall and by domain.

RESULTS

Compared to pre-pandemic reports, maternal anxiety symptoms increased by 9.4%, perceived stress increased by 13.3%, and financial stress increased by 41.7%, of which all were statistically significant changes. Participants reported the most severe pandemic impact in family routines (72.4%), experiences of stress (40.2%), and social support (38.6%). Mothers with some college or a 4-year degree experienced higher overall pandemic impact compared to mothers with the least and highest education. Pre-pandemic distress was not associated with pandemic impact however, mid-pandemic, all three distress measures were significantly positively associated with overall CIS, with the largest effect size noted for perceived stress (B=1.36, 95% CI: 0.90,1.82).

CONCLUSIONS

While, on average, mothers of young children experienced worsening psychosocial stress during the COVID-19 pandemic, pre-pandemic psychosocial stress alone was not prospectively associated with greater pandemic impact, suggesting that the COVID-19 pandemic may have both elaborated existing systemic social inequalities and created new burdens.

WHAT'S NEW

While mothers of young children experienced worsening psychosocial distress during the pandemic, pre-pandemic psychosocial distress alone was not associated with greater family pandemic impact. The pandemic may have both exacerbated existing systemic social inequalities and created new burdens.

Concentrated transdiagnostic and cross-disciplinary micro-choice based group treatment for patients with depression and with anxiety leads to lasting improvements after 12 months: a pilot study

BACKGROUND

A concentrated transdiagnostic and micro choice-based group treatment for patients with depression and anxiety has previously shown to yield significant reduction in symptoms and increased level of functioning from pre to 3-month follow-up. In the present study, we report the results after 12 months follow-up.

METHODS

This was a non-randomized clinical intervention pilot study, conducted in line with a published protocol. Sixty-seven consecutively referred patients, aged 19-47 (mean age 32.5, SD = 8.0) were included and completed treatment. All had a severity of their problems that entitled them to care in the specialist public mental health care. Self-reported age at onset of symptoms was 17.6 (SD = 7.9) years. Mean number of prior treatment courses was 3.5 (SD = 3.3; range 0-20). The main objective was to assess the treatment effectiveness by questionnaires measuring relevant symptoms at pre-treatment, 7 days-, 3 months-, 6 months- and at 12-months follow-up.

RESULTS

Validated measures of functional impairment (WSAS), depression (PHQ9), anxiety (GAD7), worry (PSWQ), fatigue (CFQ), insomnia (BIS) and illness perception (BIPQ) improved significantly (p < .0005) from before treatment to 12 months follow-up, yielding mostly large to extremely large effect sizes (0.89-3.68), whereas some moderate (0.60-0.76). After 12 months, 74% report an overall improvement in problems related to anxiety and depression. Utilization of specialist, public and private mental health care was reported as nonexistent or had decreased for 70% of the patients at 12-month follow up.

CONCLUSIONS

The concentrated, micro-choice based group treatment approach yielded a highly clinically significant reduction in a wide range of symptoms already one week after treatment, and the positive results persisted at 12-month follow-up.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05234281, first posted date 10/02/2022.

Risk factors associated with depression and anxiety among the Chinese general population after retracting the dynamic zero-COVID policy: A network analysis

BACKGROUND

Recent studies have evidenced the negative psychological consequences of the COVID-19 pandemic and sociodemographic vulnerability among the general population, while limited information was available on which factors make the greatest contribution to psychological distress when these factors were considered concurrently. Herein, we aimed to investigate the pathways that underlie psychological distress in the context of retracting dynamic zero-COVID policy.

METHODS

We employed the mixed graphical model to construct the network of depression (PHQ-9), anxiety (GAD-7), and pandemic-related factors in a general population sample (N = 1610). Then, we re-examined the network by adding sociodemographic variables to further explore the influence of sociodemographic factors. Additionally, we repeated the analyses in the second sample (N = 620) collected in the same period to assess the replicability.

RESULTS

The relationships between the pandemic factors and anxiety and depressive symptoms exhibited a tendency to decrease after adding demographic variables, and income became the most important node and shared edge weights with all anxiety and depressive symptoms. These findings were replicable with the second sample. No significant difference in the network properties was detected between the two samples.

LIMITATIONS

The cross-sectional design limits the ability to observe longitudinal changes in these risk factors and their relationship with psychological distress.

CONCLUSIONS

Income level, rather than the pandemic-related factors, acted as a vital role in the psychological distress of the general population, implying that livelihood issues may be the critical intervention targets for mental health during the post-pandemic period.

A quantitative approach to the intersectional study of mental health inequalities during the COVID-19 pandemic in UK young adults

PURPOSE

Mental health inequalities across social identities/positions during the COVID-19 pandemic have been mostly reported independently from each other or in a limited way (e.g., at the intersection between age and sex or gender). We aim to provide an inclusive socio-demographic mapping of different mental health measures in the population using quantitative methods that are consistent with an intersectional perspective.

METHODS

Data included 8,588 participants from two British cohorts (born in 1990 and 2000-2002, respectively), collected in February/March 2021 (during the third UK nationwide lockdown). Measures of anxiety and depressive symptomatology, loneliness, and life satisfaction were analysed using Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) models.

RESULTS

We found evidence of large mental health inequalities across intersectional strata. Large proportions of those inequalities were accounted for by the additive effects of the variables used to define the intersections, with some of the largest gaps associated with sexual orientation (with sexual minority groups showing substantially worse outcomes). Additional inequalities were found by cohort/generation, birth sex, racial/ethnic groups, and socioeconomic position. Intersectional effects were observed mostly in intersections defined by combinations of privileged and marginalised social identities/positions (e.g., lower-than-expected life satisfaction in South Asian men in their thirties from a sexual minority and a disadvantaged childhood social class).

CONCLUSION

We found substantial inequalities largely cutting across intersectional strata defined by multiple co-constituting social identities/positions. The large gaps found by sexual orientation extend the existing evidence that sexual minority groups were disproportionately affected by the pandemic. Study implications and limitations are discussed.

Patient-reported outcome measures for monitoring primary care patients with depression: the PROMDEP cluster RCT and economic evaluation

Background

Guidelines on the management of depression recommend that practitioners use patient-reported outcome measures for the follow-up monitoring of symptoms, but there is a lack of evidence of benefit in terms of patient outcomes.

Objective

To test using the Patient Health Questionnaire-9 questionnaire as a patient-reported outcome measure for monitoring depression, training practitioners in interpreting scores and giving patients feedback.

Design

Parallel-group, cluster-randomised superiority trial; 1 : 1 allocation to intervention and control.

Setting

UK primary care (141 group general practices in England and Wales).

Inclusion criteria

Patients aged ≥ 18 years with a new episode of depressive disorder or symptoms, recruited mainly through medical record searches, plus opportunistically in consultations.

Exclusions

Current depression treatment, dementia, psychosis, substance misuse and risk of suicide.

Intervention

Administration of the Patient Health Questionnaire-9 questionnaire with patient feedback soon after diagnosis, and at follow-up 10-35 days later, compared with usual care.

Primary outcome

Beck Depression Inventory, 2nd edition, symptom scores at 12 weeks.

Secondary outcomes

Beck Depression Inventory, 2nd edition, scores at 26 weeks; antidepressant drug treatment and mental health service contacts; social functioning (Work and Social Adjustment Scale) and quality of life (EuroQol 5-Dimension, five-level) at 12 and 26 weeks; service use over 26 weeks to calculate NHS costs; patient satisfaction at 26 weeks (Medical Informant Satisfaction Scale); and adverse events.

Sample size

The original target sample of 676 patients recruited was reduced to 554 due to finding a significant correlation between baseline and follow-up values for the primary outcome measure.

Randomisation

Remote computerised randomisation with minimisation by recruiting university, small/large practice and urban/rural location.

Blinding

Blinding of participants was impossible given the open cluster design, but self-report outcome measures prevented observer bias. Analysis was blind to allocation.

Analysis

Linear mixed models were used, adjusted for baseline depression, baseline anxiety, sociodemographic factors, and clustering including practice as random effect. Quality of life and costs were analysed over 26 weeks.

Qualitative interviews

Practitioner and patient interviews were conducted to reflect on trial processes and use of the Patient Health Questionnaire-9 using the Normalization Process Theory framework.

Results

Three hundred and two patients were recruited in intervention arm practices and 227 patients were recruited in control practices. Primary outcome data were collected for 252 (83.4%) and 195 (85.9%), respectively. No significant difference in Beck Depression Inventory, 2nd edition, score was found at 12 weeks (adjusted mean difference -0.46, 95% confidence interval -2.16 to 1.26). Nor were significant differences found in Beck Depression Inventory, 2nd Edition, score at 26 weeks, social functioning, patient satisfaction or adverse events. EuroQol-5 Dimensions, five-level version, quality-of-life scores favoured the intervention arm at 26 weeks (adjusted mean difference 0.053, 95% confidence interval 0.013 to 0.093). However, quality-adjusted life-years over 26 weeks were not significantly greater (difference 0.0013, 95% confidence interval -0.0157 to 0.0182). Costs were lower in the intervention arm but, again, not significantly (-£163, 95% confidence interval -£349 to £28). Cost-effectiveness and cost-utility analyses, therefore, suggested that the intervention was dominant over usual care, but with considerable uncertainty around the point estimates. Patients valued using the Patient Health Questionnaire-9 to compare scores at baseline and follow-up, whereas practitioner views were more mixed, with some considering it too time-consuming.

Conclusions

We found no evidence of improved depression management or outcome at 12 weeks from using the Patient Health Questionnaire-9, but patients' quality of life was better at 26 weeks, perhaps because feedback of Patient Health Questionnaire-9 scores increased their awareness of improvement in their depression and reduced their anxiety. Further research in primary care should evaluate patient-reported outcome measures including anxiety symptoms, administered remotely, with algorithms delivering clear recommendations for changes in treatment.

Study registration

This study is registered as IRAS250225 and ISRCTN17299295.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/42/02) and is published in full in Health Technology Assessment; Vol. 28, No. 17. See the NIHR Funding and Awards website for further award information.

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Trajectories of mental health outcomes following COVID-19 infection: a prospective longitudinal study

BACKGROUND

The COVID-19 pandemic has triggered a global mental health crisis. Yet, we know little about the lasting effects of COVID-19 infection on mental health. This prospective longitudinal study aimed to investigate the trajectories of mental health changes in individuals infected with COVID-19 and to identify potential predictors that may influence these changes.

METHODS

A web-survey that targeted individuals that had been infected with COVID-19 was used at three time-points: T0 (baseline), T1 (six months), and T2 (twelve months). The survey included demographics, questions related to COVID-19 status, previous psychiatric diagnosis, post-COVID impairments, fatigue, and standardized measures of depression, anxiety, insomnia. Linear mixed models were used to examine changes in depression, anxiety, and insomnia over time and identify factors that impacted trajectories of mental health outcomes.

RESULTS

A total of 236 individuals completed assessments and was included in the longitudinal sample. The participants' age ranged between 19 and 81 years old (M = 48.71, SD = 10.74). The results revealed notable changes in mental health outcomes over time. The trajectory of depression showed significant improvement over time while the trends in anxiety and insomnia did not exhibit significant changes over time. Younger participants and individuals who experienced severe COVID-19 infection in the acute phase were identified as high-risk groups with worst mental ill-health. The main predictors of the changes in the mental health outcomes were fatigue and post-COVID impairments.

CONCLUSIONS

The findings of our study suggest that mental health outcomes following COVID-19 infection exhibit a dynamic pattern over time. The study provides valuable insights into the mental health trajectory following COVID-19 infection, emphasizing the need for ongoing assessment, support, and interventions tailored to the evolving mental health needs of this population.

Behavioural activation to mitigate the psychological impacts of COVID-19 restrictions on older people in England and Wales (BASIL+): a pragmatic randomised controlled trial

BACKGROUND

Older adults were more likely to be socially isolated during the COVID-19 pandemic, with increased risk of depression and loneliness. We aimed to investigate whether a behavioural activation intervention delivered via telephone could mitigate depression and loneliness in at-risk older people during the COVID-19 pandemic.

METHODS

BASIL+ (Behavioural Activation in Social Isolation) was a pragmatic randomised controlled trial conducted among patients recruited from general practices in England and Wales, and was designed to assess the effectiveness of behavioural activation in mitigating depression and loneliness among older people during the COVID-19 pandemic. Eligible participants were aged 65 years and older, socially isolated, with a score of 5 or higher on the Patient Health Questionnaire-9 (PHQ-9), and had multiple long-term conditions. Participants were allocated in a 1:1 ratio to the intervention (behavioural activation) or control groups by use of simple randomisation without stratification. Behavioural activation was delivered by telephone; participants were offered up to eight weekly sessions with trained BASIL+ Support Workers. Behavioural activation was adapted to maintain social connections and encourage socially reinforcing activities. Participants in the control group received usual care with existing COVID-19 wellbeing resources. The primary clinical outcome was self-reported depression severity, assessed by the PHQ-9, at 3 months. Outcomes were assessed masked to allocation and analysis was by treatment allocation. This trial is registered with the ISRCTN registry (ISRCTN63034289).

FINDINGS

Between Feb 8, 2021, and Feb 28, 2022, 449 eligible participants were identified and 435 from 26 general practices were recruited and randomly assigned (1:1) to the behavioural activation intervention (n=218) or to the control group (usual care with signposting; n=217). The mean age of participants was 75·7 years (SD 6·7); 270 (62·1%) of 435 participants were female, and 418 (96·1%) were White. Participants in the intervention group attended an average of 5·2 (SD 2·9) of eight remote behavioural activation sessions. The adjusted mean difference in PHQ-9 scores between the control and intervention groups at 3 months was -1·65 (95% CI -2·54 to -0·75, p=0·0003). No adverse events were reported that were attributable to the behavioural activation intervention.

INTERPRETATION

Behavioural activation is an effective and potentially scalable intervention that can reduce symptoms of depression and emotional loneliness in at-risk groups in the short term. The findings of this trial add to the range of strategies to improve the mental health of older adults with multiple long-term conditions. These results can be helpful to policy makers beyond the pandemic in reducing the global burden of depression and addressing the health impacts of loneliness, particularly in at-risk groups.

FUNDING

UK National Institute for Health and Care Research.

Increased postpartum anxiety symptoms after perinatal SARS-CoV-2 infection in a large, prospective pregnancy cohort in New York City

Numerous studies reported an increase of postpartum mood symptoms during the COVID-19 pandemic. Yet, the link between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and perinatal mental health is less well understood. We investigated the associations between prenatal SARS-CoV-2 infection and postpartum depressive and anxiety symptoms, including examinations of infection timing and pandemic timeline. We included 595 participants from Generation C, a prospective pregnancy cohort in New York City (2020-2022). Prenatal SARS-CoV-2 infection was determined via laboratory or medical diagnosis. Depression and anxiety symptoms were measured 4-12 weeks postpartum using the Edinburgh Postnatal Depression Scale (EPDS) and Generalized Anxiety Disorder questionnaire (GAD), respectively. Quantile regressions were conducted with prenatal SARS-CoV-2 infection as exposure and continuously measured EPDS and GAD scores as outcomes. We reran the analyses in those with COVID-19-like symptoms in the trimester during which infection occurred. 120 (20.1%) participants had prenatal SARS-CoV-2 infection. After adjusting for socio-demographic, obstetric and other maternal health factors, prenatal SARS-CoV-2 infection was associated with higher median postpartum anxiety scores (b = 0.55, 95% CI = 0.15; 0.96). Late gestation infection (b = 1.15, 95% CI = 0.22; 2.09) and symptomatic infection (b = 1.15, 95% CI = 0.12; 2.18) were also associated with higher median postpartum anxiety scores. No associations were found with depressive symptoms. The associations were not moderated by time since the start of the pandemic. This study suggests that prenatal SARS-CoV-2 infection increases the risk of postpartum anxiety symptoms among participants reporting median anxiety symptoms. Given that this association was not affected by pandemic timing and that SARS-CoV-2 transmission continues, individuals infected with SARS-CoV-2 during pregnancy should be monitored for postpartum anxiety symptoms.

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.

How personality functioning relates to psychological distress and behavioral attitudes during the Covid-19 pandemic

Functional aspects of personality are crucial for experiencing and handling emotional distress. With the outbreak of the Covid-19 virus and the subsequent installation of mitigation rules of social distancing, severe psycho-social challenges were posed upon people. Research has shown that individuals react differently to these challenges. This study aimed to investigate the role of dimensional aspects of personality during the Covid-19 pandemic. Specifically, we examined how personality functioning, defense mechanisms, and narcissism were related to psychological distress and cognitive and behavioral attitudes towards the rules of social distancing. In a non-clinical sample (N = 254), Level of Personality Functioning Scale, Inventory of Personality Organization, Defense Style Questionnaire, Pathological Narcissism Inventory, and three single questions regarding emotional distress and behavioral attitudes towards the pandemic were used. Structural equation models with reference and residual factors were calculated. Impairments in personality functioning and vulnerable narcissism showed significant positive relationships, adaptive defense mechanisms significant negative relationships with psychological distress during the pandemic. Residual factors for aggression and low moral values showed distinct negative relationships with psychological distress related to social distancing. Among individuals who chose to ignore the rules of social distancing, greater impairment in personality organization was found. Personality functioning may elucidate individual differences in psychological distress and compliance with the mitigation rules during the pandemic. Limitations of measures are carefully considered in all interpretations.

Trajectories of COVID-19 pandemic-related depressive symptoms and potential predictors: the FinnBrain Birth Cohort Study

PURPOSE

In the context of the COVID-19 pandemic, mental health problems have been reported, and parents of young children may be more vulnerable to psychological distress due to increased caregiving responsibilities. However, research on the heterogeneity of the longitudinal course of psychological symptoms during the pandemic and the predispositions linked with these courses is still scarce. This study aimed to identify differential trajectories of depressive symptoms among the parents of young children and investigate the role of temperament traits, alexithymia, and coping styles in the heterogeneity of the symptom trajectories.

METHODS

The sample consists of 844 parents from the FinnBrain Birth Cohort Study. Latent growth mixture modeling was utilized to identify trajectories of depressive symptoms from pre-pandemic between 2014 and 2019 (T0, the closest available measurement was used) to May/June 2020 (T1) and December 2020 (T2) during the pandemic. Multinomial logistic regression was used to examine temperament, alexithymia, and coping as predictors of symptom trajectories, controlling for various background factors.

RESULTS

Four trajectories of depressive symptoms were identified. Most parents experienced low and stable depressive symptoms. Negative affect, effortful control, alexithymia, emotion-diverting coping (self-distraction and venting), and avoidant coping (denial and behavioral disengagement) were predictors for subclinical stable depressive symptoms. Constructive coping (positive reframing, acceptance, and humor) protected the cohort parents from increasing or moderately high depressive symptoms.

CONCLUSIONS

The findings have implications for identifying vulnerable individuals with specific traits and strengthening of constructive coping strategies as possible foci in interventions for depression during global crises.

Weight stigma is a predictor of disordered eating in Brazilian college students during the COVID-19 pandemic: A 16-month cohort follow-up

This study examined the relationship between weight stigma and disordered eating behaviors in university students during the COVID-19 pandemic, considering individuals with and without overweight. A national sample of 738 college students completed an online questionnaire at three time points between July 2020 and December 2021, reporting their experiences of weight stigma, perceived increase in weight stigma during the pandemic, internalized weight stigma, and disordered eating behaviors. The findings showed that the trajectories of disordered eating behaviors varied depending on participants' anthropometric status. Among those with overweight, there was a decrease over time in binge eating, food restriction, and purging. Conversely, the non-overweight group experienced a slight increase in binge eating from T2 to T3. Using the Generalized Estimating Equations model, the study revealed that weight stigma predicted disordered eating behaviors in both weight spectrums during the pandemic. Experiences of weight stigma and the perceived increase in weight stigma significantly increased the likelihood of engaging in binge eating, food restriction, and purging among individuals with overweight. Furthermore, the internalization of weight stigma was longitudinally associated with all examined eating behaviors, regardless of anthropometric status. These findings highlight the importance of addressing weight stigma to prevent disordered eating in college students.

COVID-19 lockdowns and working women's mental health: Does motherhood and size of workplace matter? A comparative analysis using understanding society

The COVID-19 pandemic had detrimental and unequal repercussions on mental health. To date there is little evidence exploring how motherhood and workplace size moderates this relationship for working women. This study aimed to estimate changes in working women's mental health at the start of each UK lockdown and estimate the effect of motherhood and workplace size on mental health. We used Understanding Society data from women in paid employment, who participated in at least: one pre-COVID-19 Wave (9 or 10/11) and one COVID-19 lockdown wave (Lockdown 1: April 2020, Lockdown 2: November 2020, Lockdown 3: January 2021). Primary outcome was probable psychological distress (i.e., score≥4 in the General Health Questionnaire-12 (GHQ-12)). In Model 1, exposure was motherhood (binary), interacting with a variable that split time in the pre-pandemic and lockdown periods. In Model 2, workplace size (Micro:1-24, Medium: 25-199, Large: More than 200 employees) was added as an exposure (3-way interaction) to investigate moderation effects. We fitted mixed-effects logistic regression models, adjusting for age, ethnicity, UK country of residence, cohabitation, educational qualifications, working hours, furlough, subjective financial difficulty and previous health condition. In the adjusted Model 1, pre-pandemic, odds of GHQ-12 caseness were lower for mothers compared to non-mothers (OR:0.89 95%CI:0.77,1.03). However post-pandemic compared to pre-pandemic, odds for mothers were higher than non-mothers, especially during lockdown 3 (Non-mothers: OR:1.93 95%CI:1.69,2.20; Mothers: OR:2.87 95%CI:2.36,3.49). In Model 2, workplace size did not modify the relationship. Pre-pandemic, there was no difference in the odds of GHQ-12 caseness by workplace size; however, the differences observed in Lockdown 3 between non-mothers and mothers, are mainly attributed to differences in medium-sized enterprises (Non-mothers: OR:1.95 95%CI:1.53,2.48; Mothers: OR:3.56 95%CI:2.54,4.99). Future policies should be designed to facilitate the working lives of mothers, but especially for medium-sized enterprises as extreme uncertainty appears to affect these employees more.

The long-term effects of consecutive COVID-19 waves on mental health

BACKGROUND

Although several studies have documented the impact of the COVID-19 pandemic on mental health, the long-term effects remain unclear.

AIMS

To examine longitudinal changes in mental health before and during the consecutive COVID-19 waves in a well-established probability sample.

METHOD

An online survey was completed by the participants of the COVID-19 add-on study at four time points: pre-COVID-19 period (2014-2015, n = 1823), first COVID-19 wave (April to May 2020, n = 788), second COVID-19 wave (August to October 2020, n = 532) and third COVID-19 wave (March to April 2021, n = 383). Data were collected via a set of validated instruments, and analysed with latent growth models.

RESULTS

During the pandemic, we observed a significant increase in stress levels (standardised β = 0.473, P < 0.001) and depressive symptoms (standardised β = 1.284, P < 0.001). The rate of increase in depressive symptoms (std. covariance = 0.784, P = 0.014), but not in stress levels (std. covariance = 0.057, P = 0.743), was associated with the pre-pandemic mental health status of the participants. Further analysis showed that secondary stressors played a predominant role in the increase in mental health difficulties. The main secondary stressors were loneliness, negative emotionality associated with the perception of COVID-19 disease, lack of resilience, female gender and younger age.

CONCLUSIONS

The surge in stress levels and depressive symptoms persisted across all three consecutive COVID-19 waves. This persistence is attributable to the effects of secondary stressors, and particularly to the status of mental health before the COVID-19 pandemic. Our findings reveal mechanisms underlying the surge in mental health difficulties during the COVID-19 waves, with direct implications for strategies promoting mental health during pandemics.

Pandemic Racism: Lessons on the Nature, Structures, and Trajectories of Racism During COVID-19

The COVID-19 pandemic has been one of the most acute global crises in recent history, which profoundly impacted the world across many dimensions. During this period, racism manifested in ways specifically related to the pandemic, including xenophobic sentiments, racial attacks, discriminatory policies, and disparate outcomes across racial/ethnic groups. This paper examines some of the pressing questions about pandemic racism and inequity. We review what research has revealed about the nature and manifestations of racism, the entrenchment of structural racism, and trajectories of racism during COVID-19.

Heterogeneity in the trajectories of psychological distress among late adolescents during the COVID-19 pandemic

Background

The coronavirus disease 2019 (COVID-19) pandemic has constrained opportunities in social, educational and professional domains, leading to developmental challenges for adolescents initiating their transition to adulthood. Meta-analysis indicated that there was a small increase in psychological distress during the first year of the COVID-19 pandemic. However, significant heterogeneity in the psychological response to the COVID-19 pandemic was noted. Developmental antecedents as well as social processes may account for such heterogeneity. The goal of this study was to characterize trajectories of psychological distress in late adolescence during the COVID-19 pandemic.

Methods

5014 late adolescents born between 2000 and 2002 from the UK Millennium Cohort Study completed online self-reported assessments at three occasions during the first year of the COVID-19 pandemic (May 2020, September/October 2020 and February/March 2021). These surveys assessed psychological distress, loneliness, social support, family conflict, as well as other pandemic stressors. Information on developmental antecedents were obtained when cohort members were 17 years of age.

Results

Four distinct trajectories class were identified. Normative class (52.13%) experienced low and decreasing levels of psychological distress, while moderately increasing class (31.84%) experienced a small, but significant increase in distress over time and increasing class (8.75%) exhibited a larger increase in distress after the first wave of the pandemic. Inverted U-shaped class (7.29%) experienced elevated psychological distress during the first wave of the pandemic, followed by a decrease in distress in subsequent waves of the pandemic. Larger longitudinal increases in loneliness were noted among individuals in the elevated distress trajectory, compared to other trajectories. Pre-pandemic psychopathology was associated with elevated distress early in the pandemic.

Conclusions

The largest trajectory showed low and declining psychological distress, highlighting the resilience of the majority of late adolescents. However, a subgroup of adolescents experienced large increases in psychological distress, identifying a group of individuals more vulnerable to pandemic-related stress.

The psychological impact of the COVID-19 pandemic and the role of resilience: cross cultural differences between Brazil, Italy, and the United States

OBJECTIVE

Restrictive measures consequent to the COVID-19 pandemic have had a significant psychological impact on everyday life in the general population, even though differences between countries remain poorly investigated. The present study sought to examine the different psychological impacts and resilience of the pandemic among three of the most heavily hit countries: Brazil, Italy, and the United States.

METHODS

This cross-sectional study separately involved three national community populations, namely the Brazilian, the Italian, and the American population. Participants aged 18 years or older were recruited through a shared online survey. Participants self-completed the Connor-Davidson Resilience Scale (CD-RISC-10) and the Center for Epidemiological Studies-Depression Scale (CES-D); post-traumatic stress was additionally assessed using the Impact of Event Scale-Revised (IES-R). Three separate Analyses of Covariance (ANCOVA) were performed in order to investigate differences in the levels of resilience, post-traumatic stress, and depression among the three populations.

RESULTS

The study included in total 734 participants (mean age = 27.60 ± 11.69 years; 77% of females). Results of ANCOVA comparisons showed significant differences between the three groups in the variable measuring resilience, post-traumatic stress symptoms, and depression. As for resilience, results of post-hoc tests showed significant differences between the groups from Brazil and Italy and between the groups from Brazil and USA. As for the post-traumatic stress symptoms, results showed significant differences between the USA and Brazil groups and between the USA and Italy groups. As for the depression symptoms, results showed significant differences between the USA and Brazil groups.

CONCLUSIONS

Overall, these findings may help to increase understanding of the psychological impact of COVID-19 in Brazil, Italy, and the USA. Interventions to prevent mental disorders among general populations should take into account these findings.

Trends in consultations and prescribing for rheumatic and musculoskeletal diseases: an electronic primary care records study

BACKGROUND

Rheumatic and musculoskeletal diseases (RMDs) are common and generally managed in primary care through supported self-care, physiotherapy, analgesia, and specialist referral where indicated. The COVID-19 pandemic led to abrupt changes in primary care delivery, including moves to remote consulting, pauses on group-based self-care, and restricted referrals.

AIM

To describe how patterns of UK primary healthcare consultations and analgesic prescribing relating to RMDs changed during the COVID-19 pandemic.

DESIGN AND SETTING

Observational study using routinely collected national primary care electronic health record data from the Clinical Practice Research Datalink between 1 April 2017 and 1 October 2021.

METHOD

RMD and analgesic SNOMED-CT codes were derived through consensus and published work. Prevalent and incident RMD-related consultations were determined, and RMD consultations matched to prevalent and incident analgesia prescriptions. Joinpoint regression was used to describe trends over time.

RESULTS

Prevalent and incident RMD consultations steadily increased until March 2020 when a substantial drop occurred as pandemic- related restrictions were introduced; levels had not recovered to pre-pandemic highs by October 2021. While incident and prevalent analgesic prescribing also reduced around March 2020, the proportion of patients with an RMD consultation prescribed any analgesic increased from 27.72% in February 2020 to 38.15% in April 2020, with increases across all analgesic groups. A higher proportion of strong opioid prescriptions was seen in the most deprived areas.

CONCLUSION

Pandemic-associated restrictions led to fewer primary care consultations and relative increases in analgesic prescribing, including strong opioids, for RMDs in the UK. Policymakers must consider the impact of these changes in future healthcare resource planning.

Risk factors for poor progression of addictive internet use across different COVID-19 periods in China

BACKGROUND AND OBJECTIVES

Addictive behaviors are serious factors for mental health and usually increase during public crises. We identified the vulnerable characteristics for bad prognosis of addictive internet use across different periods of the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

Self-reported questionnaires were delivered in three waves through jdh.com during the outbreak (n = 17,960), remission (n = 15,666), and dynamic zero (n = 12,158) periods of COVID-19 pandemic in China. Internet addiction degree was assessed using the Internet Addiction Test. The different progression groups were divided using a latent class growth model among 1679 longitudinal participants. Risk factors for bad progression were identified by two-step logistic regression.

RESULTS

A total of 40.16% of participants reported an increase in the addictive degree of internet use compared with prepandemic. Across different COVID-19 periods, the overall trend of addictive internet use was downward among general Chinese study participants (Mslope = -1.56). Childhood traumatic experiences, deterioration of physical health, depression, and anxiety during remission and dynamic periods were the main risk factors for the bad progression of pandemic-induced addictive internet use.

DISCUSSION AND CONCLUSIONS

Addictive internet use was remitted following relaxed control policies during the COVID-19 pandemic. Negative childhood experiences and bad mental status during the recovery period were harmful to coping with pandemic-related addictive internet use.

SCIENTIFIC SIGNIFICANCE

Our findings profiled the general trend of addictive internet use and the vulnerable characteristics of its bad progression across different periods of the first wave of COVID-19 pandemic in China. Our findings provide valuable insights for preventing the long-term adverse effects of negative public events on Internet addiction.

Positivity and coping as key to well-being and psychological adjustment during the pandemic of COVID-19: A follow-up study in Portugal

This follow-up study aimed to analyze the protective role of positivity and coping strategies on the well-being and psychological distress levels reported during Portugal's first and third waves of COVID-19. The total sample consisted of 135 participants (82.0% women) with ages ranging from 20 to 72 years (M = 39.29, SD = 11.46). Results suggested a significant decrease in well-being levels but no changes in psychological distress were observed. Positivity was a strong and significant predictor of well-being and psychological distress during the pandemic crisis. Among the set of strategies used by individuals at the first wave, denial, self-blame, and self-distraction predicted a poorer adaptation with more significant mental health impairment, with self-blame standing out as the most harmful. This study highlighted the key role of positivity in adjusting to the current pandemic crisis and the lasting detrimental impact of specific coping strategies.

Development and psychometric validation of the Pandemic-Related Traumatic Stress Scale for children and adults

To assess the public health impact of the COVID-19 pandemic on mental health, investigators from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program developed the Pandemic-Related Traumatic Stress Scale (PTSS). Based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) acute stress disorder symptom criteria, the PTSS is designed for adolescent (13-21 years) and adult self-report and caregiver-report on 3-12-year-olds. To evaluate psychometric properties, we used PTSS data collected between April 2020 and August 2021 from non-pregnant adult caregivers (n = 11,483), pregnant/postpartum individuals (n = 1,656), adolescents (n = 1,795), and caregivers reporting on 3-12-year-olds (n = 2,896). We used Mokken scale analysis to examine unidimensionality and reliability, Pearson correlations to evaluate relationships with other relevant variables, and analyses of variance to identify regional, age, and sex differences. Mokken analysis resulted in a moderately strong, unidimensional scale that retained nine of the original 10 items. We detected small to moderate positive associations with depression, anxiety, and general stress, and negative associations with life satisfaction. Adult caregivers had the highest PTSS scores, followed by adolescents, pregnant/postpartum individuals, and children. Caregivers of younger children, females, and older youth had higher PTSS scores compared to caregivers of older children, males, and younger youth, respectively. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Prevalence and predictors of post-COVID-19 symptoms in general practice - a registry-based nationwide study

BACKGROUND

With Norwegian national registry data, we assessed the prevalence of post-COVID-19 symptoms at least 3 months after confirmed infection, and whether sociodemographic factors and pre-pandemic health problems were risk factors for these symptoms.

METHODS

All persons with a positive SARS-CoV-2 PCR test from February 2020 to February 2021 (exposed) were compared to a group without a positive test (unexposed) matched on age, sex, and country of origin. We used Cox regression to estimate hazard ratios (HR) for 18 outcome symptoms commonly described as post-COVID-19 related, registered by GPs. We compared relative risks (RR) for fatigue, memory disturbance, or shortness of breath among exposed and unexposed using Poisson regression models, assessing sex, age, education, country of origin, and pre-pandemic presence of the same symptom and comorbidity as possible risk factors, with additional analyses to assess hospitalisation for COVID-19 as a risk factor among exposed.

RESULTS

The exposed group (N = 53 846) had a higher prevalence of most outcome symptoms compared to the unexposed (N = 485 757), with the highest risk for shortness of breath (HR 2.75; 95%CI 2.59-2.93), fatigue (2.08; 2.00-2.16) and memory disturbance (1.41;1.26-1.59). High HRs were also found for disturbance of smell/taste and hair loss, but frequencies were low. Concerning risk factors, sociodemographic factors were at large similarly associated with outcome symptoms in both groups. Registration of the outcome symptom before the pandemic increased the risk for fatigue, memory disturbance and shortness of breath after COVID-19, but these associations were weaker among exposed. Comorbidity was not associated with fatigue and shortness of breath in the COVID-19 group. For memory disturbance, the RR was slightly increased with the higher comorbidity score both among exposed and unexposed.

CONCLUSION

COVID-19 was associated with a range of symptoms lasting more than three months after the infection.

Mind-Wandering and Its Relationship With Psychological Wellbeing and Obsessive-Compulsive Symptomatology in the Context of Covid-19

Mind-wandering (MW) as a research topic has received considerable attention over the last several decades. The recent differentiation between spontaneous and deliberate MW has suggested a particular effect of the former on psychopathology; in that increased spontaneous MW may precede mental illness. The present study sought to explore MW as a potential contributing factor to poor mental health in the context of the Covid-19 pandemic. More specifically, we sought to determine firstly, whether the effects of MW frequency, type and content on subjective psychological wellbeing was consistent with previous findings after controlling for the impacts of Covid-related stress. Secondly, previous research has demonstrated an effect of both Covid-stress and spontaneous MW on the experience of obsessive-compulsive symptomatology (OCS), and so the present study explored this relationship further by assessing whether Covid-stress mediated the relationship between spontaneous MW and OCS. Participants completed measures of MW, OCS and psychological wellbeing through an online questionnaire. The results indicated that increased spontaneous MW was indicative of both poorer subjective psychological wellbeing and OCS, with Covid-stress partially mediating the relationship between spontaneous MW and OCS. Our findings provide further support for the adverse effect of unintentional MW on psychological wellbeing, as well as for the differentiation between both forms of the cognitive phenomenon. Additionally, they provide an important insight into one of the factors that may have preceded poor mental health among the Irish population during Covid-19. Future research may build upon the present study by exploring similar relationships among clinical populations.

The prevalence of anxiety and depression symptoms (ADS), persistent and chronic ADS among the adult general population and specific subgroups before and during the COVID-19 pandemic until December 2021

BACKGROUND

It is unclear to what extent the prevalence of moderate and severe anxiety and depression symptoms (ADS) is higher during the first 20 months after the COVID-19 outbreak than before the outbreak. The same holds for persistent and chronic ADS among the adult general population and subgroups (such as employed, minorities, young adults, work disabled).

METHODS

Data were extracted from six surveys conducted with the Dutch longitudinal LISS panel, based on a traditional probability sample (N = 3493). Biographic characteristics and ADS (MHI-5 scores) were assessed in March-April 2019, November-December 2019, March-April 2020, November-December 2020, March-April 2021, and November-December 2021. Generalized estimating equations were conducted to examine differences in the prevalence of post-outbreak ADS, persistent and chronic ADS compared to the pre-outbreak prevalence in similar periods. The Benjamini-Hochberg correction for multiple testing was applied.

RESULTS

Among the general population chronic moderate ADS increased significantly but slightly in the period March-April 2020 to March-April 2021 compared to a similar period before the pandemic (11.9 % versus 10.9 %, Odds Ratio = 1.11). In the same period a somewhat larger significant increase in chronic moderate ADS was observed among 19-24 years old respondents (21.4 % versus 16.7 %, Odds Ratio = 1.35). After the Benjamini-Hochberg correction several other differences were no longer significant.

LIMITATIONS

No other mental health problems were assessed.

CONCLUSIONS

The Dutch general population and most of the assessed subgroups were relatively resilient given the limited increase or absence of increases in (persistent and chronic) ADS. However, young adults suffered from an increase of chronic ADS.

Generational, sex, and socioeconomic inequalities in mental and social wellbeing during the COVID-19 pandemic: prospective longitudinal observational study of five UK cohorts

BACKGROUND

Research suggests that there have been inequalities in the impact of the coronavirus disease 2019 (COVID-19) pandemic and related non-pharmaceutical interventions on population mental health. We explored generational, sex, and socioeconomic inequalities during the first year of the pandemic using nationally representative cohorts from the UK.

METHODS

We analysed data from 26772 participants from five longitudinal cohorts representing generations born between 1946 and 2000, collected in May 2020, September-October 2020, and February-March 2021 across all five cohorts. We used a multilevel growth curve modelling approach to investigate generational, sex, and socioeconomic differences in levels of anxiety and depressive symptomatology, loneliness, and life satisfaction (LS) over time.

RESULTS

Younger generations had worse levels of mental and social wellbeing throughout the first year of the pandemic. Whereas these generational inequalities narrowed between the first and last observation periods for LS [-0.33 (95% CI -0.51 to -0.15)], they became larger for anxiety [0.22 (0.10, 0.33)]. Generational inequalities in depression and loneliness did not change between the first and last observation periods, but initial depression levels of the youngest cohort were worse than expected if the generational inequalities had not accelerated. Women and those experiencing financial difficulties had worse initial mental and social wellbeing levels than men and those financially living comfortably, respectively, and these gaps did not substantially differ between the first and last observation periods.

CONCLUSIONS

By March 2021, mental and social wellbeing inequalities persisted in the UK adult population. Pre-existing generational inequalities may have been exacerbated with the pandemic onset. Policies aimed at protecting vulnerable groups are needed.

A Longitudinal Investigation of the Impact of COVID-19 on Patients With Chronic Pain

The COVID-19 pandemic prompted unexpected changes in the healthcare system. This current longitudinal study had 2 aims: 1) describe the trajectory of pandemic-associated stressors and patient-reported health outcomes among patients receiving treatment at a tertiary pain clinic over 2 years (May 2020 to June 2022); and 2) identify vulnerable subgroups. We assessed changes in pandemic-associated stressors and patient-reported health outcome measures. The study sample included 1270 adult patients who were predominantly female (74.6%), White (66.2%), non-Hispanic (80.6%), married (66.1%), not on disability (71.2%), college-educated (59.45%), and not currently working (57.9%). We conducted linear mixed effect modeling to examine the main effect of time with controlling for a random intercept. Findings revealed a significant main effect of time for all pandemic-associated stressors except financial impact. Over time, patients reported increased proximity to COVID-19, but decreased pandemic-associated stressors. A significant improvement was also observed in pain intensity, pain catastrophizing, and PROMIS-pain interference, sleep, anxiety, anger, and depression scores. Demographic-based subgroup analyses for pandemic-associated stressors revealed that younger adults, Hispanics, Asians, and patients receiving disability compensation were vulnerable groups either during the initial visit or follow-up visits. We observed additional differential pandemic effects between groups based on participant sex, education level, and working status. In conclusion, despite unanticipated changes in pain care services during the pandemic, patients receiving pain treatments adjusted to pandemic-related stressors and improved their health status over time. As the current study observed differential pandemic impacts on patient subgroups, future studies should investigate and address the unmet needs of vulnerable subgroups. PERSPECTIVE: Over a 2-year timeframe, the pandemic did not adversely influence physical and mental health among treatment-seeking patients with chronic pain. Patients reported small but significant improvements across indices of physical and psychosocial health. Differential impacts emerged among groups based on ethnicity, age, disability status, gender, education level, and working status.

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.

Effect of the pandemic on prehospital management of patients with mental and behavioral disorders: a retrospective cohort study

The novel severe acute respiratory syndrome coronavirus (SARS-CoV-2) infection and the accompanying coronavirus disease (Covid-19) have shifted the priority of human and technical resources toward their handling, thus affecting the usual standards of care for populations diagnosed with other clinical entities. The phenomenon becomes even more apparent in patients with presenting symptoms of mental and behavioral disorders, a category already vulnerable and underrepresented in regard to its prehospital approach and management. For the purposes of the current retrospective cohort study, we used records of the Polish National Emergency Medical Service Command Support System for the time period between April 1, 2019 and April 30, 2021, the official register of medical interventions delivered in Poland by Emergency Medical Services (EMS). We aimed to examine the potential impact of the COVID-19 pandemic across the Masovian Voivodeship on individuals seeking medical care for mental and behavioral disorders pertaining in the "F" category of the International Statistical Classification of Diseases and Related Health Problems, 10th Revision (ICD-10). We examined the individuals' baseline characteristics, prehospital vital parameters and EMS processing times in a population of 59,651 adult patients (04/2019-03/2020, 28,089 patients, 04/2020-03/2021, 31,562 patients) handled by EMS teams. Compared to pre-COVID-19, EMS personnel handled fewer patients, but more patients required mental and behavioral care. Throughout the duration of the pandemic, all prehospital time periods were significantly delayed due to the increased time needed to prepare crew, vehicles, and technical equipment to ensure COVID-19 prevention and overcrowding in Emergency Departments (EDs).

Digital Application of Clinical Staging to Support Stratification in Youth Mental Health Services: Validity and Reliability Study

BACKGROUND

As the demand for youth mental health care continues to rise, managing wait times and reducing treatment delays are key challenges to delivering timely and quality care. Clinical staging is a heuristic model for youth mental health that can stratify care allocation according to individuals' risk of illness progression. The application of staging has been traditionally limited to trained clinicians yet leveraging digital technologies to apply clinical staging could increase the scalability and usability of this model in services.

OBJECTIVE

The aim of this study was to validate a digital algorithm to accurately differentiate young people at lower and higher risk of developing mental disorders.

METHODS

We conducted a study with a cohort comprising 131 young people, aged between 16 and 25 years, who presented to youth mental health services in Australia between November 2018 and March 2021. Expert psychiatrists independently assigned clinical stages (either stage 1a or stage 1b+), which were then compared to the digital algorithm's allocation based on a multidimensional self-report questionnaire.

RESULTS

Of the 131 participants, the mean age was 20.3 (SD 2.4) years, and 72% (94/131) of them were female. Ninety-one percent of clinical stage ratings were concordant between the digital algorithm and the experts' ratings, with a substantial interrater agreement (κ=0.67; P<.001). The algorithm demonstrated an accuracy of 91% (95% CI 86%-95%; P=.03), a sensitivity of 80%, a specificity of 93%, and an F1-score of 73%. Of the concordant ratings, 16 young people were allocated to stage 1a, while 103 were assigned to stage 1b+. Among the 12 discordant cases, the digital algorithm allocated a lower stage (stage 1a) to 8 participants compared to the experts. These individuals had significantly milder symptoms of depression (P<.001) and anxiety (P<.001) compared to those with concordant stage 1b+ ratings.

CONCLUSIONS

This novel digital algorithm is sufficiently robust to be used as an adjunctive decision support tool to stratify care and assist with demand management in youth mental health services. This work could transform care pathways and expedite care allocation for those in the early stages of common anxiety and depressive disorders. Between 11% and 27% of young people seeking care may benefit from low-intensity, self-directed, or brief interventions. Findings from this study suggest the possibility of redirecting clinical capacity to focus on individuals in stage 1b+ for further assessment and intervention.

Relationship between self-esteem and suicidal ideation before and during COVID-19 in a non-clinical sample: mediating effects of psychological distress and hopelessness

Introduction

Several studies have highlighted the impact of the novel coronavirus disease (COVID-19) pandemic on suicide. Accordingly, investigating the risk factors of suicide during this crisis is important. Based on the escape theory of suicide, the current study examined the serial mediating roles of psychological distress and hopelessness in the relationship between self-esteem and suicidal ideation. It also aimed to explore whether or not the COVID-19 pandemic changed the mediation effect in any way.

Methods

Data were collected from 645 university students before and during the pandemic. The study employed mediation and multi-group analyses to test the hypotheses.

Results

The results demonstrated that individuals with low self-esteem reported high psychological distress, which further lead to hopelessness and eventually heightened suicidal ideation. Multi-group analysis revealed that psychological distress exerted a greater impact on suicidal ideation during COVID-19.

Discussion

The finding suggested that self-esteem, hopelessness, and psychological distress could help elucidate the development of suicidal ideation. Clinicians may target these factors in suicide prevention programs, particularly in the settings of the COVID-19 pandemic or future crisis.

The mental health impact of the COVID-19 pandemic on older adults: a systematic review and meta-analysis

BACKGROUND

Early in the COVID-19 pandemic, many experts pointed to potential adverse mental health effects for older adults. By contrast, many studies in young to middle-aged adults found older age to be associated with reduced mental burden. However, a systematic review on older adults is missing.

OBJECTIVES

To comprehensively assess the pandemic's mental health impact on older adults.

DATA SOURCES

We searched nine databases from December 2019 to April 2022.

STUDY SELECTION

We included longitudinal and repeated cross-sectional studies assessing pre- and/or peri-pandemic mental distress and/or positive mental health indicators (e.g. wellbeing) on at least two occasions.

DATA SYNTHESIS

We identified 108 studies comprising 102,136 participants (≥60 years). After removal of outliers, there was a small increase in mental distress from pre-to-peri-pandemic assessments, standardised mean difference (SMD) = 0.10, 95% confidence interval (CI) [0.01, 0.18]. Furthermore, a small peri-pandemic decrease in anxiety symptoms was observed, whereas other symptoms remained unchanged. For positive mental health indicators, wellbeing and quality of life showed an initial decrease, whereas overall positive mental health increased during the pandemic, SMD = 0.08, 95% CI [0.01, 0.15]. Being female was related to larger peri-pandemic increases in mental distress.

CONCLUSIONS

Based on many studies, this review demonstrated small decreases in mental health during early stages of the pandemic in older adults, with evidence for later recovery. These findings are similar to those for younger adults and correct earlier claims that older adults are at particular risk for negative mental health consequences. The results ask for further research into resilience and adaptation processes in older adults.

The influence of emotion regulation strategies and sleep quality on depression and anxiety

Chronic stress is a major risk factor for a number of mental health disorders, including depression and pathological anxiety. Adaptive cognitive emotion regulation (CER) strategies (i.e. positively-focused thought processes) can help to prevent psychiatric disturbance when enduring unpleasant and stressful experiences, but little is known about the inter-individual factors that govern their success. Sleep plays an important role in mental health, and may moderate the effectiveness of adaptive CER strategies by maintaining the executive functions on which they rely. In this study, we carried out a secondary analysis of self-reported mental health and sleep data acquired during a protracted and naturally-occurring stressor - the COVID-19 pandemic - to firstly test the hypothesis that adaptive CER strategy use is associated with positive mental health outcomes and secondly, that the benefits of adaptive CER strategy use for mental health are contingent on high-quality sleep. Using established self-report tools, participants estimated their depression (N = 551) and anxiety (N = 590)2 levels, sleep quality and tendency to engage in adaptive and maladaptive CER strategies during the Spring and Autumn of 2020. Using a linear mixed modelling approach, we found that greater use of adaptive CER strategies and higher sleep quality were independently associated with lower self-reported depression and anxiety. However, adaptive CER strategy use was not a significant predictor of self-reported anxiety when accounting for sleep quality in our final model. The positive influence of adaptive CER strategy use on depression was observed at different levels of sleep quality. These findings highlight the importance of adaptive CER strategy use and good sleep quality in promoting resilience to depression and anxiety when experiencing chronic stress.

General Mental Health, Loneliness, and Life Satisfaction in the Context of COVID-19 Policies: A 2-Year Cohort Study in the Netherlands, April 2020-January 2022

OBJECTIVE

Although the COVID-19 pandemic has affected mental health, understanding who has been affected most and why is incomplete. We sought to understand changes in mental health in the context of transmission numbers and pandemic (social) restrictions and whether changes in mental health varied among population groups.

METHODS

We analyzed data from 92 062 people (aged ≥16 years and able to read Dutch) who participated in the Corona Behavioral Unit cohort study at the National Institute for Public Health and the Environment, the Netherlands, from April 17, 2020, through January 25, 2022. Participants self-reported mental well-being through multiple rounds of surveys. We used a multivariable linear mixed-effects model to analyze loneliness, general mental health, and life satisfaction.

RESULTS

As strictness of pandemic prevention measures and social restrictions increased, people's feelings of loneliness increased and mental health and life satisfaction decreased. As restrictions were relaxed, loneliness decreased and general mental health improved. Younger people (aged 16-24 y) versus older people (aged ≥40 y), people with low (vs high) education levels, and people living alone (vs living together) were more likely to have negative well-being outcomes. We observed that trajectories over time differed considerably only by age, with participants aged 16-24 years affected substantially more than participants aged ≥40 years by pandemic social restrictions. These patterns were consistent across multiple waves of SARS-CoV-2 infection.

CONCLUSIONS

Our findings suggest that the social restrictions imposed by the Dutch government during the study period were associated with reduced mental well-being, especially among younger people. However, people appeared resilient as they recovered during periods when restrictions were relaxed. Monitoring and supporting well-being, in particular to reduce loneliness, may help younger people during periods of intense social restrictions.

Changes to healthcare utilisation and symptoms for common mental health problems over the first 21 months of the COVID-19 pandemic: parallel analyses of electronic health records and survey data in England

Background

Few studies have investigated the effect of the COVID-19 pandemic on mental health beyond 2020. This study quantifies changes to healthcare utilisation and symptoms for common mental health problems over the pandemic's first 21 months.

Methods

Parallel cohort studies using primary care database and survey data for adults (≥16 years) in England from January 2015 to December 2021: 16,551,842 from the Clinical Practice Research Datalink (CPRD) and 40,699 from the UK Household Longitudinal Survey (UKHLS). Interrupted time-series models estimated changes in monthly prevalence of presentations and prescribed medications for anxiety and depression (CPRD); and self-reported psychological distress (UKHLS). The pandemic period was divided into five phases: 1st Wave (April-May 2020); post-1st Wave (June-September 2020); 2nd Wave (October 2020-February 2021); post 2nd Wave (March-May 2021); 3rd Wave (June-December 2021).

Findings

Primary care presentations for depression or anxiety dropped during the first wave (4.6 fewer monthly appointments per 1000 patients, 4.4-4.8) and remained lower than expected throughout follow-up. Self-reported psychological distress exceeded expected levels during the first (Prevalence Ratio = 1.378, 95% CI 1.289-1.459) and second waves (PR = 1.285, 1.189-1.377), returning towards expected levels during the third wave (PR = 1.038, 0.929-1.154). Increases in psychological distress and declines in presentations were greater for women. The decrease in primary care presentations for depression and anxiety exceeded that for physical health conditions (rheumatoid arthritis, diabetes, urinary tract infections). Anxiety and depression prescriptions returned to pre-pandemic levels during the second wave due to increased repeat prescriptions.

Interpretation

Despite periods of distress during the pandemic, we did not find an enduring effect on common mental health problems. The fall in primary care presentations for anxiety or depression suggests changing healthcare utilisation for mental distress and a potential treatment gap.

Funding

National Institute for Health and Care Research (NIHR).

Social participation during the COVID-19 pandemic in persons with a high risk for a severe course of COVID-19 - results of a longitudinal, multi-center observational study in Germany

Objective

The COVID-19 pandemic has affected how people go about their daily lives, often in various and substantial ways. This study aims to prospectively evaluate the changes in social participation during the COVID-19 pandemic in persons with a high risk for a severe COVID-19 course in Germany.

Methods

A paper-pencil-based survey was conducted starting at March 2021. Participants filled out questionnaires at four time points based on their COVID-19 vaccination status: before COVID-19 vaccination, one month, six months and twelve months after COVID-19 vaccination. Social participation measures included the Pandemic Social Participation Questionnaire (PSP-Q) and the Index for measuring participation restrictions (IMET). Repeated measures ANOVA and paired t-test were used to test for changes between time-points. Repeated measures correlation was used to assess the relationship between social participation and local COVID-19 incidences.

Results

Data from 245 participants was analyzed before and one month after COVID-19 vaccination. In addition, data from 156 participants was analyzed at time points one, six and twelve months after COVID-19. PSP-Q and IMET scores changed significantly after participants received a COVID-19 vaccination. Between one month and twelve months after vaccination, social participation improved significantly measured by PSP-Q. Social participation was negatively correlated with regional COVID-19 incidences before and after COVID-19 vaccination. Social participation was positively correlated with COVID-19 incidences between one month and twelve months after COVID-19 vaccination.

Conclusions

Social participation improved in persons with a high risk for a severe COVID-19 course during the pandemic. The local COVID-19 incidence showed a negative association with social participation only until the fall of 2021 when it was used as the sole metric to regulate COVID-19 protective measures. Although our data describes the trends in social participation, further studies are needed to identify the influencing factors for the observed increase in social participation.

Profiles of older adults according to their life and food-related life satisfaction during the COVID-19 pandemic: the importance of the social environment

Introduction

Older adults are a highly heterogeneous population, as individuals of the same age can show considerable variations in personal characteristics and living conditions. Risk and protective factors for older adults' subjective wellbeing during the COVID-19 pandemic can be explored by examining how life satisfaction, food-related life satisfaction, and associated variables coexist among these individuals. On this basis, this study aimed to identify older adult profiles based on their levels of life and food-related life satisfaction; to characterize these profiles by diet quality, social support, financial wellbeing, and sociodemographic characteristics; and to identify variables associated with higher life and food-related life satisfaction.

Methods

The sample included 1,371 institutionalized and non-institutionalized individuals over the age of 60, from four cities in Chile. Participants answered a survey, either online or face to face, with questions about life and food-related life satisfaction, perceived social support from family, friends, and others, food quality, financial wellbeing/distress, sociodemographic characteristics, and prior COVID-19 infection.

Results

Using a latent profile analysis, we identified three profiles of older adults: Profile 1: Unsatisfied with their life, somewhat satisfied with their food-related life (5.40%); Profile 2: Somewhat satisfied with their life, satisfied with their food-related life (65.06%); Profile 3: Extremely satisfied with their life and food-related life (29.54%). Profiles differed by residence (institutionalized vs. independent), age, marital status, social support, financial wellbeing, COVID-19 infection, and city of residence.

Discussion

The patterns of association between life and food-related satisfaction and related variables indicate conditions of vulnerability and protection related to living conditions, the social dimensions of food consumption, and social support. These results underscore the need for identifying groups of older adults based on diverse characteristics and conditions outside of chronological age.

Determinants of life dissatisfaction among adults in the United States: A cross-sectional analysis of the National Health Interview Survey

The number of Americans who report dissatisfaction with their quality of life has increased over the past several decades. This study investigated social- and health-related determinants of life dissatisfaction among adults in the United States (US). We conducted a cross-sectional observational study using data from the 2021 National Health Interview Survey, a nationally representative sample of adults in the US. We analyzed the association between self-reported life dissatisfaction and independent variables including demographics, family-level information, health status and conditions, functioning and disability, health insurance coverage, chronic pain, occupational variables, socioeconomic indicators, health-related behaviors, and psychological distress indicators. Survey multivariable logistic regression was used to determine the association among social- and health-related determinants and life dissatisfaction. The relative importance of each variable in the final model was determined using Shapley Additive Explanations values (0-100% scale). Among the 253.2 million civilian noninstitutionalized adults, 12.2 million (4.8%) reported life dissatisfaction. Recent psychological distress, unmarried status, poor general health, lack of social/emotional support, and lower food security were independently associated with life dissatisfaction (all P < .001). The relative importance of these variables in predicting life dissatisfaction was 39.3% for recent psychological distress, 22.2% for unmarried status, 18.3% for poor general health, 13.4% for lack of social/emotional support, and 6.9% for lower food security. Additionally, racial inequities were identified in the prevalence of these factors. Life dissatisfaction among adults in the US is associated with social- and health-related factors that are more prevalent in racial minority groups. The study findings suggest that resource prioritization should be targeted towards individuals with these factors, with particular emphasis on racial minority groups. This study aligns with US health policy initiatives and the results may help policymakers address the underlying factors contributing to life dissatisfaction among the US population.

Effects of Locomotion Regulatory Mode on COVID-19 Anxiety: The Mediating Role of Resilience

The COVID-19 pandemic has exerted a significant impact on mental health globally. The uncertainty, fear, and stress associated with this crisis have contributed to a heightened prevalence of anxiety, depression, and various other mental health disorders. In this scenario, the present study aimed at investigating the relationship between locomotion regulatory mode, resilience, and COVID-19 anxiety. It is worth noting that previous extensive research has established a significant correlation between high levels of locomotion and diverse positive psychological conditions, such as optimism, reduced hopelessness, and a positive effect. A total of 243 participants completed measures of locomotion regulatory mode, resilience, and COVID-19 anxiety. In line with our hypotheses, individuals' locomotion regulatory mode was negatively, although non-significatively, associated with COVID-19 anxiety. Furthermore, resilience was found to mediate the relationship between the locomotion regulatory mode and COVID-19 anxiety, indicating that individuals displaying high locomotion may be better equipped to cope with the stress and uncertainty of the COVID-19 pandemic due to their greater levels of resilience. Taken together, these findings highlight the importance of considering both locomotion and resilience in managing anxiety related to COVID-19, and suggest that interventions aimed at enhancing resilience may be particularly beneficial for individuals with a low locomotion regulatory mode.

Negative and positive ageism in an Italian sample: how ageist beliefs relate to epistemic trust, psychological distress, and well-being

Ageism is a social issue of growing concern; ageist beliefs can shape the individual and collective experience of aging. The present study aimed to explore positive and negative ageism in young adults (YA) (18-30 years) and adults (AD) (31-60 years) and their relationship with epistemic trust, psychological distress, and psychological well-being. 301 Italian adult participants completed an online survey that included the following self-report questionnaires: attitudes towards older people scale, epistemic trust, mistrust and credulity questionnaire, depression anxiety stress scale-21, and Warwick-Edinburgh mental wellbeing scale. Negative ageism was significantly higher in YA compared to AD; on the contrary, AD presented more positive ageism than YA. When considering the entire sample, negative ageism was correlated with various dimensions of psychological distress and epistemic trust. A mediation model revealed that epistemic mistrust fully mediated the relationship between age and negative ageism, suggesting that changes in ageist beliefs that seem to occur with age are mediated by a mistrustful epistemic stance. Future research should focus on further exploring the link between epistemic trust, mental health, and holding ageist beliefs. The results are also discussed in terms of their implications for the treatment of older patients.

Depression, anxiety, & loneliness among cancer survivors during the COVID-19 pandemic

PURPOSE

To assess the impact of the COVID-19 pandemic on depression, anxiety, and loneliness between those with and without a history of cancer.

DESIGN

This prospective observational study used a quantitative approach.

PARTICIPANTS

Adult members of the Kaiser Permanente Research Bank (N = 104,640).

METHODS

Participants completed a series of surveys from May to December 2020. The difference in score of depression, anxiety, and loneliness were estimated using linear mixed regression.

FINDINGS

Among cancer survivors, 21% and 19% met the thresholds for increased risk of depression and anxiety. Among cancer survivors, younger age groups and females reported increased depression, anxiety, and loneliness scores.

CONCLUSIONS

This study highlights the continued necessity of addressing mental health needs and social support in cancer survivors during and after a public health emergency.

IMPLICATIONS FOR PSYCHOSOCIAL PROVIDERS

Cancer survivors may need particular resources after cancer treatment to strengthen resilience and improve quality of life.

Testing the Associations between Coping, Mental Health, and Satisfaction with Life in Portuguese Workers

The present study aimed to explore the relationships between coping strategies, symptoms of depression, anxiety, and stress, and satisfaction with life among Portuguese workers. A sample of 402 participants (207 male, 195 female), ranging in age from 18 to 70 years (M = 32.90, SD = 11.75), was included in the study. Participants reported varying levels of work experience, ranging from 1 to 45 years (M = 10.62, SD = 4.07). The sample encompassed diverse occupations, including arts and design (n = 28), engineering (n = 23), marketing (n = 27), administration (n = 50), transportation and logistics (n = 57), clerks (n = 63), lawyers (n = 21), factory workers (n = 20), accountant and finance (n = 41), journalism (n = 27), health care (n = 29), and others (n = 16). To examine the associations between each determinant and satisfaction with life, hierarchical multiple regression analyses were conducted. Two models were tested, with predictors entered in blocks based on theoretical and empirical considerations. The second model accounted for 52.4% of the variance in satisfaction with life (F (14, 384) = 3.884, p < 0.001, R² = 0.27, adjusted R² = 0.24). Depressive symptoms and stress consistently exhibited a significant association (p < 0.05) with satisfaction with life across all tested models. In terms of coping mechanisms, instrumental support reinterpretation, disengagement, and humor demonstrated a significant association with satisfaction with life (p < 0.05). The findings suggest that employing adaptive coping strategies may help mitigate symptoms of mental distress and enhance satisfaction with life. By understanding the relationships between coping strategies, mental health symptoms, and satisfaction with life, interventions can be developed to promote well-being and improve overall quality of life among Portuguese workers.

Age and adult attachment style predict psychological distress in the Singapore general population during COVID-19

To date, there is increasing evidence to suggest that age and adult attachment styles, such as secure, anxious and avoidant attachment are predictive or protective for psychological distress. The study aimed to investigate the extent to which age and adult attachment style, measured by the Attachment Style Questionnaire, predicted psychological distress, measured by the Kessler 10 Psychological Distress Scale, in the Singapore general population during COVID-19. Ninety-nine residents of Singapore (44 females, 52 males, 3 prefer not to state their gender) aged between 18 and 66 completed an online survey, which collected information on age, adult attachment styles and levels of psychological distress. Multiple regression analysis was performed to study the influence of predictive factors on psychological distress. The study identified 20.2%, 13.1% and 14.1% of participants reporting psychological distress at the mild, moderate and severe levels, respectively. The study also reported that age and psychological distress were negatively correlated, and that psychological distress was negatively correlated with both anxious and avoidant attachment styles. It was concluded that age and adult attachment style significantly predicted psychological distress in the Singapore general population during COVID-19. Further studies exploring other variables and risk factors are required to further consolidate these results. At the global level, these findings may help countries predict residents' reactions to future outbreaks and help them prepare strategies and approaches to address these situations.