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International studies measuring wellbeing/multidimensional mental health before/ during the COVID-19 pandemic, including representative samples for >2 years, identifying risk groups and coping strategies are lacking. COH-FIT is an online, international, anonymous survey measuring changes in well-being (WHO-5) and a composite psychopathology P-score, and their associations with COVID-19 deaths/restrictions, 12 a-priori defined risk individual/cumulative factors, and coping strategies during COVID-19 pandemic (26/04/2020-26/06/2022) in 30 languages (representative, weighted non-representative, adults). T-test, χ 2 , penalized cubic splines, linear regression, correlation analyses were conducted. Analyzing 121,066/142,364 initiated surveys, WHO-5/P-score worsened intra-pandemic by 11.1±21.1/13.2±17.9 points (effect size d=0.50/0.60) (comparable results in representative/weighted non-probability samples). Persons with WHO-5 scores indicative of depression screening (<50, 13% to 32%) and major depression (<29, 3% to 12%) significantly increased. WHO-5 worsened from those with mental disorders, female sex, COVID-19-related loss, low-income country location, physical disorders, healthcare worker occupations, large city location, COVID-19 infection, unemployment, first-generation immigration, to age=18-29 with a cumulative effect. Similar findings emerged for P-score. Changes were significantly but minimally related to COVID-19 deaths, returning to near-pre-pandemic values after >2 years. The most subjectively effective coping strategies were exercise and walking, internet use, social contacts. Identified risk groups, coping strategies and outcome trajectories can inform global public health strategies., Competing Interests: Declaration of competing interest Conflict of interest statements of all authors are detailed in eTable 8., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)

Background: The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology "P-score"., Methods: The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1-4 items ("COH-FIT items") were extracted from validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed., Results: From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COH-FIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex., Conclusions: COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health., Competing Interests: Conflict of interest Conflict of interest statements of all authors are detailed in Supplementary Table 7., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Objective: The aim of this study is to investigate the time to affective recovery from daily-life stressors between healthy controls (HC) and two groups with an increased risk for developing depression: individuals with subclinical symptoms of depression (SSD), and individuals remitted from a depressive episode with residual symptoms of depression (RRS)., Method: The experience sampling method (ESM) was used to measure affective recovery to daily-life stressors. Affective recovery was defined as the moment that negative affect (NA) returned to baseline level following the first stressful event of the day. We assessed two different operationalizations of the baseline: NA at the moment before the stressful event (t - 1 ), and mean-person NA. The effect of stress intensity, and cumulative stress were also assessed., Results: Survival analyses showed significantly longer recovery times for the at risk groups in comparison to healthy individuals, albeit no significant difference was found between the two at risk groups (i.e. SSD and RRS). There was also an effect of cumulative stress, but not stress intensity on time to recovery in that cumulative stress resulted in significantly longer recovery times for all three groups., Limitations: The present study is limited by the ESM sampling design, assessments take place post-stress and therefore do not capture peak stress. Additionally, we are only able to assess patterns at the group level. Finally, there is a significant age difference between groups., Conclusion: Individuals at risk for depression display a delayed recovery to daily-life stressors when compared to healthy controls, which is not explained by differences in stress intensity or cumulative stress. Understanding what is driving this delay may help combat the development of depression., Competing Interests: Declaration of competing interest Authors declare to have no known financial or personal interest, direct or indirect, that may have affected the work reported in this paper., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Introduction: Antipsychotics (APs) can cause weight gain. Little is known about changes in weight when APs are combined with other psychotropics. This study examines the weight change in patients undergoing long-term treatment with APs or with AP combined with other psychotropics., Methods: Patients with non-affective psychotic disorder from the GROUP study were divided into three groups: AP medication group (APm) (n = 100), AP in combination with other psychotropics (APc) (n = 73), and medication-free (Meds-free) (n = 100). Weight change was examined at inclusion and after three years using a paired-sample t-test. An Independent-sample t-test was performed to evaluate weight change among patients taking clozapine, olanzapine, and quetiapine and individuals not taking these medications. Linear regression was performed to evaluate the association between covariates and weight., Results: Patients in the APm group [mean = 1.800 kg, t(99)=2.849, 95% CI(0.546, 3.054), p = 0.005] and the APc group [mean = 1.877 kg, t(72)=2.688, 95% CI(0.485, 3.268), p = 0.009] showed significant weight gain. Patients taking clozapine, olanzapine or quetiapine showed significant weight gain compared to those not taking these medications [mean difference=1.707 kg, t(271)= 2.061, 95% CI(0.077, 3.337), p = 0.040)]., Conclusion: Patients receiving APs and APs with other psychotropics gain weight during long-term treatment. It is possible that weight gain is mainly driven by APs., (Copyright © 2022. Published by Elsevier B.V.)

Background: . High-quality comprehensive data on short-/long-term physical/mental health effects of the COVID-19 pandemic are needed., Methods: . The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) is an international, multi-language (n=30) project involving >230 investigators from 49 countries/territories/regions, endorsed by national/international professional associations. COH-FIT is a multi-wave, on-line anonymous, cross-sectional survey [wave 1: 04/2020 until the end of the pandemic, 12 months waves 2/3 starting 6/24 months threreafter] for adults, adolescents (14-17), and children (6-13), utilizing non-probability/snowball and representative sampling. COH-FIT aims to identify non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to improve social/health outcomes in the general population/vulnerable subgrous during/after COVID-19. In adults, co-primary outcomes are change from pre-COVID-19 to intra-COVID-19 in well-being (WHO-5) and a composite psychopathology P-Score. Key secondary outcomes are a P-extended score, global mental and physical health. Secondary outcomes include health-service utilization/functioning, treatment adherence, functioning, symptoms/behaviors/emotions, substance use, violence, among others., Results: . Starting 04/26/2020, up to 14/07/2021 >151,000 people from 155 countries/territories/regions and six continents have participated. Representative samples of ≥1,000 adults have been collected in 15 countries. Overall, 43.0% had prior physical disorders, 16.3% had prior mental disorders, 26.5% were health care workers, 8.2% were aged ≥65 years, 19.3% were exposed to someone infected with COVID-19, 76.1% had been in quarantine, and 2.1% had been COVID 19-positive., Limitations: . Cross-sectional survey, preponderance of non-representative participants., Conclusions: . Results from COH-FIT will comprehensively quantify the impact of COVID-19, seeking to identify high-risk groups in need for acute and long-term intervention, and inform evidence-based health policies/strategies during this/future pandemics., (Copyright © 2021. Published by Elsevier B.V.)

Background: The COVID-19 pandemic has altered daily routines and family functioning, led to closing schools, and dramatically limited social interactions worldwide. Measuring its impact on mental health of vulnerable children and adolescents is crucial., Methods: The Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT - www.coh-fit.com) is an on-line anonymous survey, available in 30 languages, involving >230 investigators from 49 countries supported by national/international professional associations. COH-FIT has thee waves (until the pandemic is declared over by the WHO, and 6-18 months plus 24-36 months after its end). In addition to adults, COH-FIT also includes adolescents (age 14-17 years), and children (age 6-13 years), recruited via non-probability/snowball and representative sampling and assessed via self-rating and parental rating. Non-modifiable/modifiable risk factors/treatment targets to inform prevention/intervention programs to promote health and prevent mental and physical illness in children and adolescents will be generated by COH-FIT. Co-primary outcomes are changes in well-being (WHO-5) and a composite psychopathology P-Score. Multiple behavioral, family, coping strategy and service utilization factors are also assessed, including functioning and quality of life., Results: Up to June 2021, over 13,000 children and adolescents from 59 countries have participated in the COH-FIT project, with representative samples from eleven countries., Limitations: Cross-sectional and anonymous design., Conclusions: Evidence generated by COH-FIT will provide an international estimate of the COVID-19 effect on children's, adolescents' and families', mental and physical health, well-being, functioning and quality of life, informing the formulation of present and future evidence-based interventions and policies to minimize adverse effects of the present and future pandemics on youth., (Copyright © 2021 Elsevier B.V. All rights reserved.)

Background: Primary prevention has the potential to modify the course of depression, but the consistency and magnitude of this effect are currently undetermined., Methods: PRISMA and RIGHT compliant (PROSPERO:CRD42020179659) systematic meta-review, PubMed/Web of Science, up to June 2020. Meta-analyses of controlled interventions for the primary prevention of depressive symptoms [effect measures: standardized mean difference (SMD)] or depressive disorders [effect measure: relative risk (RR)] were carried out. Results were stratified by: (i) age range; (ii) target population (general and/or at-risk); (iii) intervention type. Quality (assessed with AMSTAR/AMSTAR-PLUS content) and credibility (graded as high/moderate/low) were assessed. USPSTF grading system was used for recommendations., Results: Forty-six meta-analyses (k=928 individual studies, n=286,429 individuals, mean age=22.4 years, 81.1% female) were included. Effect sizes were: SMD=0.08-0.53; for depressive symptoms; RR=0.90-0.28 for depressive disorders. Sensitivity analyses including only RCTs did not impact the findings. AMSTAR median=9 (IQR=8-9); AMSTAR-PLUS content median=4.25 (IQR=4-5). Credibility of the evidence was insufficient/low in 43 (93.5%) meta-analyses, moderate in two (4.3%), and high in one (2.2%): reduction of depressive symptoms using psychosocial interventions for young adults only, and a combination of psychological and educational interventions in primary care had moderate credibility; preventive administration of selective serotonin reuptake inhibitors (SSRIs) for depressive disorders in individuals with a stroke had high credibility., Limitations: Intervention heterogeneity and lack of long-term efficacy evaluation., Conclusions: Primary preventive interventions for depression might be effective. Among them, clinicians may offer SSRIs post-stroke to prevent depressive disorders, and psychosocial interventions for children/adolescents/young adults with risk factors or during the prenatal/perinatal period., (Copyright © 2021. Published by Elsevier B.V.)

Research has found that Obsessive Compulsive Symptoms (OCS) in schizophrenia are associated with either more or less negative symptoms and either better or poorer cognitive functioning. In order to explain these contradictory results, (Lysaker et al., 2004), performed a cluster analysis resulting in 2 OCS positive (OCSpos) clusters, one with higher functioning (HF) and one with poorer functioning (PF) compared to 2 OCS negative (OCSneg) clusters. The OCSpos/HF cluster had less negative symptoms compared to all other clusters, while the OCSpos/PF cluster showed poorer executive functioning. We performed a replication study, in an almost 10 times larger, representative sample, using both a longitudinal and cross-sectional design. Similar to Lysaker et al., we found a group with mild OCS and HF (OCSmild/HF) showing less negative symptoms compared to the PF groups. We also found an OCSmild/PF group, which did not significantly differ in executive functioning from the other groups. Moreover, we did not find evidence for a better prognosis in the OCSmild/HF group, and thus found no support for the assumption that for some patients OCS might be an effective coping mechanism., (Copyright © 2018. Published by Elsevier B.V.)

The catechol-O-methyltransferase (COMT) gene is a candidate gene for schizophrenia because of its role in the breakdown of dopamine in the prefrontal cortex. The COMT gene contains a functional polymorphism changing enzyme activity that has been associated with some neuropsychiatric (endo)phenotypes, e.g. cognitive performance and anxiety. In this study we investigated the association between the COMT Val(158)Met polymorphism and obsessive-compulsive symptoms in patients with schizophrenia. Severity of obsessive-compulsive symptoms in 77 male patients with recent-onset schizophrenia was assessed using the Yale-Brown Obsessive-Compulsive Scale (Y-BOCS), and the COMT Val(158)Met polymorphism was genotyped for these patients. We found a significant effect of the COMT genotype on Y-BOCS scores: the Val/Val genotype was associated with the highest Y-BOCS scores, whereas patients with the Met/Met genotype had the lowest Y-BOCS scores. Our data suggest that the COMT high-activity Val allele is associated with more obsessive-compulsive symptoms in young patients with schizophrenia. These results support the hypothesis that the COMT Val(158)Met polymorphism may be a modifier gene for the symptomatology of schizophrenia.