How do perceptions of Covid-19 risk impact pregnancy-related health decisions? A convergent parallel mixed-methods study protocol. (preprint)

IntroductionPregnant people have a higher risk of severe COVID-19 disease. They have been disproportionately impacted by COVID-19 infection control policies, which exacerbated conditions resulting in intimate partner violence, healthcare access, and mental health distress. This project examines the impact of accumulated individual health decisions and describes how perinatal care and health outcomes changed during the COVID-19 pandemic. ObjectivesO_LIQuantitative strand: Describe differences between 2019, 2021, and 2022 birth groups related to maternal vaccination, perinatal care, and mental health care. Examine the differential impacts on racialized and low-income pregnant people. C_LIO_LIQualitative strand: Understand how pregnant peoples perceptions of COVID-19 risk influenced their decision-making about vaccination, perinatal care, social support, and mental health. C_LI Methods and analysisThis is a Canadian convergent parallel mixed-methods study. The quantitative strand uses a retrospective cohort design to assess birth group differences in rates of Tdap and COVID-19 vaccination, gestational diabetes screening, length of post-partum hospital stay, and onset of depression, anxiety, and adjustment disorder, using administrative data from ICES, formerly the Institute for Clinical Evaluative Sciences (Ontario) and PopulationData BC (PopData) (British Columbia). Differences by socioeconomic and ethnocultural status will also be examined. The qualitative strand employs qualitative description to interview people who gave birth between May 2020-December 2021 about their COVID-19 risk perception and health decision-making process. Data integration will occur during design and interpretation. Ethics and disseminationThis study received ethical approval from McMaster University and the University of British Columbia. Findings will be disseminated via manuscripts, presentations, and patient-facing infographics. Strengths and limitations of this studyO_LIPopulation-based administrative data cohorts are very large, ensuring that analyses are high-powered. C_LIO_LIMixed-methods design will allow us to offer explanation for changes in healthcare use observed through administrative data. C_LIO_LICross-provincial design permits examination of the potential impacts of COVID-19 infection prevention and control policies on pregnant peoples health. C_LIO_LIUse of Canadian Index of Multiple Deprivation will allow us to examine differences in healthcare use according to economic, racial, and immigration factors. C_LIO_LITeam includes 5 co-investigators with lived experience of pandemic pregnancies. C_LI

Mitigating the psychological impacts of COVID-19 restrictions on older people: The UK Behavioural Activation in Social Isolation (BASIL+) COVID-19 Urgent Public Health (UPH) trial and living systematic review (preprint)

Background Older adults were more likely to be socially isolated during the COVID-19 pandemic, with risk of depression and loneliness. Behavioural Activation (BA) could feasibly maintain mental health in the face of COVID isolation. Methods We undertook a multicentre randomised controlled trial [BASIL+ ISRCTN63034289] of BA to mitigate depression and loneliness among older people. BA was offered by telephone to intervention participants (n=218). Control participants received usual care, with existing COVID wellbeing resources (n=217). Findings Participants engaged with 5.2 (SD 2.9) of 8 remote BA sessions. Adjusted mean difference (AMD) for depression (PHQ-9) at 3 months [primary outcome] was -1.65 (95% CI -2.54 to -0.75, p<0.001). There was an effect for BA on emotional loneliness at 3 months (AMD -0.37, 95% CI -0.68 to -0.06, p=0.02), but not social loneliness (AMD -0.05, 95% CI -0.33 to 0.23, p=0.72). Other secondary outcomes at 3 months were anxiety (GAD-7: AMD -0.67, 95% CI -1.43 to 0.09, p=0.08) and quality of life (SF12 mental component: AMD 1.99, 95% CI 0.22 to 3.76, p=0.03; physical component: AMD -0.50, 95% CI -2.14 to 1.10, p=0.53). BASIL+ trial results were incorporated into a living systematic review [PROSPERO CRD42021298788], and we found strong evidence of an impact of behavioural and/or cognitive strategies on depression [random effects pooled standardised mean difference -0.32, 95% CI -0.48 to -0.16, 10 studies, n=1,210 participants] and loneliness [random effects pooled standardised mean difference -0.44, 95%CI -0.64 to -0.24, 13 studies, n=1,421 participants] in the short-term (<6 months). Interpretation BA is an effective intervention that reduces depression and some aspects of loneliness in the short term. This adds to the range of strategies to improve population mental health, particularly among older adults with multiple long-term conditions. These results will be helpful to policy makers in preventing depression and loneliness beyond the pandemic. Funding NIHR RP-PG-0217-20006

Did Cognitive–Attentional Syndrome Symptoms Predict Stress and Trauma-Related Symptoms in the Initial Phase of COVID-19 Pandemic? Results from a Two-Wave Study on a Sample of Polish Internet Users (preprint)

Background: According to metacognitive theory, Cognitive–Attentional Syndrome (CAS) is a transdiagnostic factor and main mechanism of psychopathology maintenance. The main goal of this study was to examine whether CAS predicted symptoms of stress and trauma-related symptomatology in the first months of the COVID-19 pandemic and three months later. Methods: Initially 1,792 participants were recruited online via social media; data was collected at two time points. Measures included the Cognitive–Attentional Syndrome Questionnaire, Adjustment Disorder – New Module 20, the International Trauma Questionnaire, and additional measures. Results: Structural equation modeling was conducted in order to determine relations between reported stressors, CAS, and symptomatology. At both time points, CAS was a significant mediator between stressors and symptoms of adjustment disorder. Despite the decrease in the intensity of adjustment disorder symptoms between waves, it was a significant predictor of other psychopathology at both time points, except for traumatic stress. Conclusions: The findings confirm the assumption that CAS is a transdiagnostic factor of psychopathology, and has a mediating role in the relationship between stressors and adjustment disorder and co-occurring symptomatology. The effect was particularly significant in the initial phase of the pandemic, which was highly stressful for many people.

The prevalence of adjustment disorder and predisposing factors in infertile women.

BACKGROUND: Infertility is a stressful life event that increases the risk of developing mental disorders, particularly adjustment disorder (AD). Given the paucity of data on the prevalence of AD symptoms in infertility, the purpose of this study was to ascertain the prevalence, clinical presentation, and risk factors for AD symptoms in infertile women. METHOD: In a cross-sectional study, 386 infertile women completed questionnaires including the Adjustment Disorder New Module-20 (ADNM), the Fertility Problem Inventory (FPI), the Coronavirus Anxiety Scale (CAS), and the Primary Care Posttraumatic Stress Disorder (PC-PTSD-5) at an infertility center between September 2020 and January 2022. RESULT: The results indicated that 60.1% of infertile women exhibited AD symptoms (based on ADNM > 47.5). In terms of clinical presentation, impulsive behavior was more common. No significant relationship was observed between prevalence and women's age or duration of infertility. Infertility stress (ß = 0.27, p < 0.001), coronavirus anxiety (ß = 0.59, p = 0.13), and a history of unsuccessful assisted reproductive therapies (ß = 2.72, p = 0.008) were several predisposing factors for AD symptoms in infertile women. CONCLUSIONS: The findings suggest that all infertile women be screened from the start of infertility treatment. Additionally, the study suggests that infertility specialists should focus on combining medical and psychological treatments for individuals predisposed to AD, particularly infertile women who exhibit impulsive behaviors.

Characteristics and outcomes of COVID-19 inpatients who underwent psychiatric consultations.

Patients hospitalized with COVID-19 are at risk of developing many neuropsychiatric disorders, due to the effects of the disease on the brain and the psychosocial pressures of having the disease. The aim of the present study was to evaluate the characteristics and outcomes of patients who were hospitalized with a diagnosis of COVID-19, who underwent psychiatric consultations. The medical records of 892 patients hospitalized due to COVID-19 and the 89 among them who requested psychiatric consultations were analyzed retrospectively. After the psychiatric consultations, patients were most frequently diagnosed with delirium (38.2 %), adjustment disorder (27.0 %), depressive disorder (19.1 %) and anxiety disorder (11.2 %). Patients with delirium had longer hospital stays (p < 0.001), were transferred more frequently to intensive care units (p < 0.001), and had higher mortality rates during their hospital stays (p < 0.001), than all other patients. The need for oxygen (p < 0.001) and mechanical ventilation (p < 0.001) was also significantly higher in delirium patients, as well as in patients who received other psychiatric diagnoses. Neuropsychiatric disorders develop in patients receiving inpatient treatments in COVID-19 wards, and these disorders negatively affect the prognosis of COVID-19. Our findings suggest that the presence of neuropsychiatric disorders in in-patients with COVID-19 might be associated with the negative outcomes of the disease.

ICD-11 adjustment disorder following diagnostic procedures of prostate cancer: A 12-month follow-up study.

OBJECTIVE: The medical procedures in diagnosing or treating prostate cancer may impair adjustment and quality of life. The current prospective study aimed to evaluate the trajectories of symptoms of ICD-11 adjustment disorder in patients diagnosed vs. non-diagnosed with prostate cancer before (T1), after diagnostic procedures (T2), and at 12-month follow-up (3). METHODS: In total, 96 male patients were recruited before prostate cancer diagnostic procedures. The mean age of the study participants at baseline was 63.5 (SD = 8.4), ranging from 47 to 80 years; 64% were diagnosed with prostate cancer. Adjustment disorder symptoms were measured using the Brief Adjustment Disorder Measure (ADNM-8). RESULTS: The prevalence of ICD-11 adjustment disorder was 15% at T1, 13% at T2, and 3% at T3. The effect of cancer diagnosis was not significant on adjustment disorder. A medium main effect for time was detected on adjustment symptom severity, F(2, 134) = 19.26, p < .001, partial η2 = 0.223, with symptoms significantly lower at 12-month follow-up, compared to T1 and T2, p < .001. CONCLUSIONS: The study's findings reveal the increased levels of adjustment difficulties in males undergoing the diagnostic process of prostate cancer.

Association of SARS-CoV-2 Infection and Cardiopulmonary Long COVID with Exercise Capacity and Chronotropic Incompetence among People with HIV (preprint)

Background: Long COVID has been associated with reduced exercise capacity, but whether SARS-CoV-2 infection or Long COVID is associated with reduced exercise capacity among people with HIV (PWH) has not been reported. We hypothesized that PWH with cardiopulmonary post-acute symptoms of COVID-19 (PASC) would have reduced exercise capacity due to chronotropic incompetence. Methods: We conducted cross-sectional cardiopulmonary exercise testing within a COVID recovery cohort that included PWH. We evaluated associations of HIV, prior SARS-CoV-2 infection, and cardiopulmonary PASC with exercise capacity (peak oxygen consumption, VO2) and adjusted heart rate reserve (AHRR, chronotropic measure) with adjustment for age, sex, and body mass index. Results: We included 83 participants (median age 54, 35% female). All 37 PWH were virally suppressed; 23 (62%) had prior SARS-CoV-2 infection, and 11 (30%) had PASC. Peak VO2 was reduced among PWH (80% predicted vs 99%; p=0.005), a difference of 5.5 ml/kg/min (95%CI 2.7-8.2, p<0.001). Chronotropic incompetence more prevalent among PWH (38% vs 11%; p=0.002), and AHRR was reduced among PWH (60% vs 83%, p<0.0001). Among PWH, exercise capacity did not vary by SARS-CoV-2 coinfection, but chronotropic incompetence was more common among PWH with PASC: 3/14 (21%) without SARS-CoV-2, 4/12 (25%) with SARS-CoV-2 without PASC, and 7/11 (64%) with PASC (p=0.04 PASC vs no PASC). Conclusions: Exercise capacity and chronotropy are lower among PWH compared to SARS-CoV-2 infected individuals without HIV. Among PWH, SARS-CoV-2 infection and PASC were not strongly associated with reduced exercise capacity. Chronotropic incompetence may be a mechanism limiting exercise capacity among PWH.

Psychometric and factorial validity of the International Adjustment Disorder Questionnaire (IADQ) in an Italian sample: A validation and prevalence estimate study.

INTRODUCTION: Adjustment disorder (AjD) is a is a maladaptive emotional or behavioural reaction to a stressful event or change in a person's life. Compared to other previously validated tools, the International Adjustment Disorder Questionnaire (IADQ) stands out as one of the most reliable and handy one for AjD. Since no homologous instrument exists now, in this study, we aimed to validate an Italian version of the IADQ. METHODS: Twenty-one thousand two hundred and six subjects (80.4% females) during the initial stages of the SARS-CoV-2 pandemic were recruited. We conducted a confirmatory factor analysis (CFA), testing two latent models, a monofactorial and a bifactorial one. Concurrent validity by correlating the total and the two factors' scores with measures of depression, anxiety and post-traumatic stress was then estimated. We finally estimated the rates of AjD among the population, and a binary logistic regression was conducted to analyse the predictors of such disorder. RESULTS: CFA showed a bifactorial validity, with both excellent incremental and comparative fit indices. The IADQ scores correlated strongly with symptoms of depression, anxiety and stress. In the Italian sample, the prevalence of probable AjD was 8.23%. Female gender, being engaged, widowed and having COVID-19-related stressors resulted as significant independent risk factors for AjD. CONCLUSIONS: IADQ is an easy-to-use, brief and psychometrically sound self-report measure for AjD. Thus, it may be considered a reliable tool for both research and clinical settings. To the best of our knowledge, our study reported for the first time the prevalence of AjD during COVID-19 pandemic.

Association between COVID-19 and incidence of CVD and all-cause mortality among patients with diabetes (preprint)

Background Although the risk of coronavirus disease 2019 (COVID-19) infection is higher in patients who are diagnosed with diabetes than in those who are not, research on the risk of cardiovascular disease (CVD) in COVID-19 infected patients diagnosed with diabetes compared to those who are not infected by COVID-19 is lacking. This study aimed to examine the association between COVID-19, incidence of CVD, and all-cause mortality in patients with diabetes.Methods This study used data from the Health Insurance Review and Assessment, and included 16,779 patients with COVID-19 and 16,779 matched controls between January 2017 and June 2021. The outcomes included cardiovascular disease (CVD), coronary heart disease, stroke, and all-cause mortality. Cox proportional hazards regression models were used to evaluate these associations.Results Patients with diabetes hospitalised because of COVID-19 had a significantly increased risk of CVD (adjusted hazard ratio [AHR], 2.12; 95% confidence interval [CI]: 1.97, 2.27) than those without COVID-19. The risks of coronary heart disease (AHR, 2.00; 95% CI: 1.85, 2.17) and stroke (AHR, 2.21; 95% CI: 1.90, 2.57) were higher in the intervention group than in the control group. In the case of all-cause mortality for middle-aged adults, we observed a higher risk in diabetes patients hospitalised due to COVID-19 than in patients without COVID-19 (AHR, 1.37; 95% CI: 1.18, 1.59).Conclusions This study showed that patients with diabetes hospitalised due to COVID-19 had an increased risk of CVD, coronary heart disease, stroke incidence, and mortality than those who were not COVID-19 infected, suggesting more careful prevention and management among patients with COVID-19.Trial registration: Institutional Review Board of Health Insurance Review and Assessment (2023-018-001).

Sensing the Pulse of the Pandemic: Geovisualizing the Demographic Disparities of Public Sentiment toward COVID-19 through Social Media (preprint)

Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users reactions toward critical events. However, social media use varies across demographics, with younger users being more prevalent compared to older populations. This difference introduces biases in data representativeness, and analysis based on social media without proper adjustment will lead to overlooking the voices of digitally marginalized communities and inaccurate estimations. This study explores solutions to pinpoint and alleviate the demographic biases in social media analysis through a case study estimating the public sentiment about COVID-19 using Twitter data. We analyzed the pandemic-related Twitter data in the U.S. during 2020-2021 to (1) elucidate the uneven social media usage among demographic groups and the disparities of their sentiments toward COVID-19, (2) construct an adjusted public sentiment measurement based on social media, the Sentiment Adjusted by Demographics (SAD) index, to evaluate the spatiotemporal varying public sentiment toward COVID-19. The results show higher proportions of female and adolescent Twitter users expressing negative emotions to COVID-19. The SAD index unveils that the public sentiment toward COVID-19 was most negative in January and February 2020 and most positive in April 2020. Vermont and Wyoming were the most positive and negative states toward COVID-19.

The network structure of ICD-11 adjustment disorder: A comparison of clinical and nonclinical samples.

BACKGROUND: International Classification of Diseases, 11th revision (ICD-11) adjustment disorder (AjD) is characterized by two main symptom clusters: preoccupation with the stressor and failure to adapt to the stressor. The network analytic approach provides important information on the structural validity of a disorder and reveals which symptoms are most prominent. To date, no study compared the network structure of AjD symptoms in clinical and nonclinical samples, which could potentially inform our understanding of psychopathological mechanisms that underlie AjD and identify core targets for therapy. METHODS: A network analysis was conducted on AjD symptoms as assessed by the Adjustment Disorder-New Module (ADNM-8) using data from 330 clinical participants from the UK and a nonclinical sample of 699 participants from Switzerland. RESULTS: Comparisons of network structure invariance revealed differences between the network structure of the clinical and the nonclinical samples. Results highlight that in terms of both edges strength and centrality, failure to adapt symptoms was more prominent in the clinical sample, while the preoccupation symptoms were more prominent in the nonclinical sample. Importantly, global strength was similar across networks. CONCLUSIONS: Results provide evidence of the coherence of AjD in the ICD-11 as assessed by the ADNM questionnaire. They tentatively suggest that subclinical AjD may be characterized by emerging preoccupation symptoms that may result in failure to adapt and functional impairment in clinical manifestation of AjD. However, there is a need for replication and longitudinal research to further validate this hypothesis.

PTSD is not the emblematic disorder of the COVID-19 pandemic; adjustment disorder is.

BACKGROUND: Posttraumatic stress disorder (PTSD) has been hailed by some as the emblematic mental disorder of the COVID-19 pandemic, assuming that PTSD's life-threat criterion was met de facto. More plausible outcomes like adjustment disorder (AD) have been overlooked. METHODS: An online cross-sectional survey was launched in the initial stage of the pandemic using a convenience sample of 5 913 adults to compare the prevalence of COVID-related probable PTSD versus probable AD. The abridged Impact of Event Scale - Revised (IES-6) assessed the severity of trauma- and stressor-related symptoms over the previous week. Demographic and pandemic-related data (e.g., receiving a formal diagnosis of COVID-19, job loss, loss of loved one, confinement, material hardship) were collected. A Classification and Regression Tree analysis was conducted to uncover the pandemic experiences leading to clinical 'caseness'. Caseness was defined by a score > 9 on the IES-6 symptom measure and further characterized as PTSD or AD depending on whether the Peritraumatic Distress Inventory's life-threat item was endorsed or not. RESULTS: The participants were predominantly Caucasian (72.8%), women (79.2%), with a university degree (85%), and a mean age of 42.22 (SD = 15.24) years; 3 647 participants (61.7%; 95%CI [60.4, 63.0]) met the threshold for caseness. However, when perceived life-threat was accounted for, only 6.7% (95%CI [6.1, 7.4]) were classified as PTSD cases, and 55% (95%CI [53.7, 56.2]) as AD cases. Among the AD cases, three distinct profiles emerged marked by the following: (i) a worst personal pandemic experience eliciting intense fear, helplessness or horror (in the absence, however, of any life-threat), (ii) a pandemic experience eliciting sadness/grief, and (iii) worrying intensely about the safety of significant others. CONCLUSIONS: Studies considering the life-threat criterion as met de facto during the pandemic are confusing PTSD for AD on most counts. This misconception is obscuring the various AD-related idioms of distress that have emerged during the pandemic and the actual treatment needs.

Psychiatric disorders newly diagnosed among veterans subsequent to hospitalization for COVID-19.

OBJECTIVE: The goal of our study was to evaluate the development of new mental health diagnoses up to 6-months following COVID-19 hospitalization for in a large, national sample. METHOD: Data were extracted for all Veterans hospitalized at Veterans Health Administration hospitals for COVID-19 from March through August of 2020 utilizing national administrative data. After identifying the cohort, follow-up data were linked through six months post-hospitalization. Data were analyzed using logistic regression. RESULTS: Eight percent of patients developed a new mental health diagnosis following hospitalization. The most common new mental health diagnoses involved depressive, anxiety, and adjustment disorders. Younger and rural patients were more likely to develop new mental health diagnoses. Women and those with more comorbidities were less likely to develop new diagnoses. CONCLUSION: A subpopulation of patients hospitalized for COVID-19 developed new mental health diagnoses. Unique demographics predictors indicate the potential need for additional outreach and screening to groups at elevated risk of post-hospitalization, mental health sequelae.

Validation of the International Adjustment Disorder Questionnaire in Israel and Switzerland.

The ICD-11 has introduced a new conceptualization of adjustment disorder (AjD) as a stress response syndrome with core symptoms of preoccupations and failure to adapt to the stressor. The current study aimed to assess the reliability and validity of the International Adjustment Disorder Questionnaire (IADQ) in two culturally distinct samples from Israel and Switzerland. Two samples were recruited in Israel (N = 1142) and Switzerland (N = 699) during the initial stages of the COVID-19 pandemic. Confirmatory factor analysis indicated that a correlated two-factor model provided an excellent fit to the Israeli and Swiss sample data. The IADQ scores correlated strongly with another measure of AjD symptoms and with symptoms of depression, anxiety, acute stress and negative emotions, whereas correlations with posttraumatic stress disorder, complex posttraumatic stress disorder and positive emotions were weaker. In the Swiss sample, 18.8% met diagnostic criteria for probable AjD and 10.2% in the Israeli sample. The current study provides the first evidence of the validity of the German and Hebrew versions of the IADQ and can be used for the screening of this debilitating condition.

Predicting transitions between longitudinal classes of post-traumatic stress disorder, adjustment disorder and well-being during the COVID-19 pandemic: protocol of a latent transition model in a general Dutch sample.

BACKGROUND: A growing body of literature shows profound effects of the COVID-19 pandemic on mental health, among which increased rates of post-traumatic stress disorder (PTSD) and adjustment disorder (AD). However, current research efforts have largely been unilateral, focusing on psychopathology and not including well-being, and are dominated by examining average psychopathology levels or on disorder absence/presence, thereby ignoring individual differences in mental health. Knowledge on individual differences, as depicted by latent subgroups, in the full spectrum of mental health may provide valuable insights in how individuals transition between health states and factors that predict transitioning from resilient to symptomatic classes. Our aim is to (1) identify longitudinal classes (ie, subgroups of individuals) based on indicators of PTSD, AD and well-being in response to the pandemic and (2) examine predictors of transitioning between these subgroups. METHODS AND ANALYSIS: We will conduct a three-wave longitudinal online survey study of n≥2000 adults from the general Dutch population. The first measurement occasion takes place 6 months after the start of the pandemic, followed by two follow-up measurements with 6 months of intervals. Latent transition analysis will be used for data analysis. ETHICS AND DISSEMINATION: Ethical approval has been obtained from four Dutch universities. Longitudinal study designs are vital to monitor mental health (and predictors thereof) in the pandemic to develop preventive and curative mental health interventions. This study is carried out by researchers who are board members of the Dutch Society for Traumatic Stress Studies and is part of a pan-European study (initiated by the European Society for Traumatic Stress Studies) examining the impact of the pandemic in 11 countries. Results will be published in peer-reviewed journals and disseminated at conferences, via newsletters, and media appearance among (psychotrauma) professionals and the general public.

Protection offered by mRNA-1273 versus BNT162b2 vaccines against SARS-CoV-2 infection and severe COVID-19 in Qatar (preprint)

BACKGROUNDGrowing evidence suggests that COVID-19 vaccines differ in effectiveness against breakthrough infection or severe COVID-19, but vaccines have yet to be investigated in controlled studies that head-to-head compare immunity of one to another. This study compared protection offered by the mRNA-1273 (Moderna) vaccine with that of the BNT162b2 (Pfizer-BioNTech) vaccine in Qatar. METHODSIn a population of 1,531,736 vaccinated persons, two matched retrospective cohort studies were designed and used to investigate differences in mRNA-1273 and BNT162b2 vaccine protection, after the first and second doses, from December 21, 2020 to October 20, 2021. RESULTSAfter dose 1, cumulative incidence of breakthrough infection was 0.79% (95% CI: 0.75-0.83%) for mRNA-1273-vaccinated individuals and 0.86% (95% CI: 0.82-0.90%) for BNT162b2-vaccinated individuals, 21 days post-injection. Adjusted hazard ratio (AHR) for breakthrough infection was 0.89 (95% CI: 0.83-0.95; p=0.001). AHR was constant in the first two weeks at 1, but it declined to 0.67 (95% CI: 0.57-0.77; p<0.001) in the third week after dose 1. AHR for any severe, critical, or fatal COVID-19 was 0.71 (95% CI: 0.53-0.95; p=0.020). After dose 2, cumulative incidence was 0.59% (95% CI: 0.55-0.64%) for mRNA-1273-vaccinated individuals and 0.84% (95% CI: 0.79-0.89%) for BNT162b2-vaccinated individuals, 180 days post-injection. AHR for breakthrough infection was 0.69 (95% CI: 0.63-0.75; p<0.001) and was largely constant over time after dose 2. AHR for any severe, critical, or fatal COVID-19 was 0.37 (95% CI: 0.10-1.41; p=0.147). CONCLUSIONSmRNA-1273 vaccination is associated with lower SARS-CoV-2 breakthrough infection and COVID-19 hospitalization and death than BNT162b2 vaccination, but the number of hospitalizations and deaths was exceedingly small for both vaccines. Both vaccines demonstrated strikingly similar patterns of build-up of protection after the first dose and waning of protection after the second dose.

Mood Reactive Disorders among COVID-19 Inpatients: Experience from a Monocentric Cohort.

OBJECTIVE: We aimed to investigate the presence and severity of depressive symptoms among coronavirus disease 2019 (COVID-19) inpatients and any possible changes after their discharge. SUBJECT AND METHODS: We collected data of patients admitted to the Infectious Disease Unit in Sassari, Italy, for COVID-19, from March 8 to May 8, 2020. The Beck Depression Inventory-II (BDI-II) was performed 1 week after admission (T0) and 1 week after discharge (T1). The cutoff point chosen to define the clinical significance of depressive symptoms was 20 (at least moderate). RESULTS: Forty-eight subjects were included. Mean age was 64.3 ± 17.6 years, and 32 (66.7%) were male. Most frequent comorbidities were cardiovascular diseases (19; 39.6%) and hypertension (17; 35.4%). When performing BDI-II at T0, 21 (43.7%) patients reported depressive symptoms at T0, according to the chosen cutoff point (BDI-II = 20). Eight (16.7%) patients had minimal symptoms. Mild mood disturbance and moderate and severe depressive symptoms were found in 24 (50%), 14 (29.2%), and 2 (4.2%) patients, respectively, at T0. The comparison of the BDI-II questionnaire at T0 with T1 showed a significant improvement in the total score (p < 0.0001), as well as in 4 out of the 5 selected questions of interest (p < 0.05). Univariate analysis showed that kidney failure and the death of a roommate were significantly associated with severity of mood disorders. CONCLUSION: Mood disturbances and depressive symptoms commonly occur among COVID-19 inpatients. Our results show that COVID-19 inpatients might be at higher risk for developing depressive reactive disorders and could benefit from an early psychological evaluation and strategies improving sleep quality.

Risk and protective factors, stressors, and symptoms of adjustment disorder during the COVID-19 pandemic - First results of the ESTSS COVID-19 pan-European ADJUST study.

Background: The COVID-19 pandemic exposes individuals to multiple stressors, such as quarantine, physical distancing, job loss, risk of infection, and loss of loved ones. Such a complex array of stressors potentially lead to symptoms of adjustment disorder. Objective: This cross-sectional exploratory study examined relationships between risk and protective factors, stressors, and symptoms of adjustment disorder during the first year of the COVID-19 pandemic. Methods: Data from the first wave of the European Society of Traumatic Stress Studies (ESTSS) longitudinal ADJUST Study were used. N = 15,563 participants aged 18 years and above were recruited in eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. Associations between risk and protective factors (e.g. gender, diagnosis of a mental health disorder), stressors (e.g. fear of infection, restricted face-to-face contact), and symptoms of adjustment disorder (ADNM-8) were examined using multivariate linear regression. Results: The prevalence of self-reported probable adjustment disorder was 18.2%. Risk factors associated with higher levels of symptoms of adjustment disorder were female gender, older age, being at risk for severe COVID-19 illness, poorer general health status, current or previous trauma exposure, a current or previous mental health disorder, and longer exposure to COVID-19 news. Protective factors related to lower levels of symptoms of adjustment disorder were higher income, being retired, and having more face-to-face contact with loved ones or friends. Pandemic-related stressors associated with higher levels of symptoms of adjustment disorder included fear of infection, governmental crisis management, restricted social contact, work-related problems, restricted activity, and difficult housing conditions. Conclusions: We identified stressors, risk, and protective factors that may help identify individuals at higher risk for adjustment disorder.

Antecedentes: La pandemia de COVID-19 expone a las personas a múltiples factores estresantes, como la cuarentena, el distanciamiento físico, la pérdida del trabajo, el riesgo de infección, y la pérdida de seres queridos. Esta compleja serie de factores estresantes puede potencialmente conducir a síntomas del trastorno de adaptación.Objetivo: Este estudio exploratorio transversal examinó las relaciones entre los factores de riesgo y de protección, los factores estresantes, y los síntomas del trastorno de adaptación durante el primer año de la pandemia de COVID-19.Métodos: Se utilizaron datos de la primera ola del estudio longitudinal ADJUST de la Sociedad Europea de Estudios de Estrés Traumático (ESTSS en su sigla en inglés). N = 15.563 participantes de 18 años o más fueron reclutados en once países (Austria, Croacia, Georgia, Alemania, Grecia, Italia, Lituania, Países Bajos, Polonia, Portugal, y Suecia) de junio a noviembre de 2020. Se examinaron mediante regresión lineal multivariante las asociaciones entre los factores de riesgo y de protección (p. ej., género, diagnóstico de un trastorno de salud mental), factores estresantes (p. ej., miedo a la infección, contacto restringido cara a cara), y síntomas del trastorno de adaptación (ADNM-8 en su sigla en inglés).Resultados: La prevalencia del trastorno de adaptación probable autoinformado fue del 18,2%. Los factores de riesgo asociados con niveles más altos de síntomas del trastorno de adaptación fueron género femenino, edad avanzada, riesgo de enfermedad grave por COVID-19, peor estado de salud general, exposición a un trauma actual o anterior, un trastorno de salud mental actual o anterior, y una exposición más prolongada a las noticias de COVID-19. Los factores de protección relacionados con niveles más bajos de síntomas del trastorno de adaptación fueron mayores ingresos, estar jubilado, y tener más contacto cara a cara con sus seres queridos o amigos. Los factores estresantes relacionados con la pandemia que se asociaron con niveles más altos de síntomas del trastorno de adaptación incluyeron miedo a la infección, manejo gubernamental de crisis, contacto social restringido, problemas relacionados con el trabajo, actividad restringida, y condiciones de vivienda difíciles.Conclusiones: Identificamos factores estresantes, de riesgo, y protectores que pueden ayudar a identificar a las personas con mayor riesgo de trastorno de adaptación.

Predicting transitions between longitudinal classes of posttraumatic stress disorder, adjustment disorder, and well-being during the COVID-19 pandemic: Protocol of a latent transition model in a general Dutch sample (preprint)

BackgroundA growing body of literature shows profound effects of the COVID-19 pandemic on mental health, among which increased rates of posttraumatic stress disorder (PTSD) and adjustment disorder (AD). However, current research efforts have largely been unilateral, focusing on psychopathology and not including well-being, and are dominated by examining average psychopathology levels or on disorder absence/presence, thereby ignoring individual differences in mental health. Knowledge on individual differences, as depicted by latent subgroups, in the full spectrum of mental health may provide valuable insights in how individuals transition between health states and factors that predict transitioning from resilient to symptomatic classes. Our aim is to (1) identify longitudinal classes (i.e., subgroups of individuals) based on indicators of PTSD, AD, and well-being in response to the pandemic and (2) examine predictors of transitioning between these subgroups. Methods and analysisWe will conduct a three-wave longitudinal online survey-study of n [≥] 2000 adults from the general Dutch population. The first measurement occasion takes place six months after the start of the pandemic, followed by two follow-up measurements with six months intervals. Latent transition analysis will be used for data-analysis. Ethics and disseminationEthical approval has been obtained from four Dutch universities. Longitudinal study designs are vital to monitor mental health (and predictors thereof) in the pandemic to develop preventive and curative mental health interventions. This study is carried out by researchers who are board members of the Dutch Society for Traumatic Stress Studies and is part of a pan-European study (initiated by the European Society for Traumatic Stress Studies) examining the impact of the pandemic in eleven countries. Results will be published in peer-reviewed journals and disseminated at conferences, via newsletters, and media-appearance among (psychotrauma-)professionals and the general public. Strengths and limitations of this studyO_LIThis is one of the first studies examining the mental health impact of the COVID-19 pandemic by focusing on negative and positive mental health in the general population. C_LIO_LIA longitudinal research design is used, which enable us to examine predictors of transitioning between mental health classes over three time points. C_LIO_LIA limitation of this study is that we used self-report measures, instead of clinical interviews, to assess mental health. C_LI