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1.
J Affect Disord ; 326: 249-261, 2023 04 01.
Article in English | MEDLINE | ID: covidwho-2245357

ABSTRACT

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.


Subject(s)
COVID-19 , Pandemics , Humans , Adult , Reproducibility of Results , Surveys and Questionnaires , Outcome Assessment, Health Care , Factor Analysis, Statistical , Psychometrics
2.
Eur Psychiatry ; 65(1): e47, 2022 08 16.
Article in English | MEDLINE | ID: covidwho-1993412

ABSTRACT

As COVID-19 becomes endemic, identifying vulnerable population groups for severe infection outcomes and defining rapid and effective preventive and therapeutic strategies remains a public health priority. We performed an umbrella review, including comprehensive studies (meta-analyses and systematic reviews) investigating COVID-19 risk for infection, hospitalization, intensive care unit (ICU) admission, and mortality in people with psychiatric disorders, and outlined evidence- and consensus-based recommendations for overcoming potential barriers that psychiatric patients may experience in preventing and managing COVID-19, and defining optimal therapeutic options and current research priorities in psychiatry. We searched Web of Science, PubMed, and Ovid/PsycINFO databases up to 17 January 2022 for the umbrella review. We synthesized evidence, extracting when available pooled odd ratio estimates for the categories "any mental disorder" and "severe mental disorders." The quality of each study was assessed using the AMSTAR-2 approach and ranking evidence quality. We identified four systematic review/meta-analysis combinations, one meta-analysis, and three systematic reviews, each including up to 28 original studies. Although we rated the quality of studies from moderate to low and the evidence ranged from highly suggestive to non-significant, we found consistent evidence that people with mental illness are at increased risk of COVID-19 infection, hospitalization, and most importantly mortality, but not of ICU admission. The risk and the burden of COVID-19 in people with mental disorders, in particular those with severe mental illness, can no longer be ignored but demands urgent targeted and persistent action. Twenty-two recommendations are proposed to facilitate this process.


Subject(s)
COVID-19 , Mental Disorders , COVID-19/prevention & control , Consensus , Humans , Mental Disorders/therapy , Policy , Public Health
3.
BMJ ; 378: e070849, 2022 08 09.
Article in English | MEDLINE | ID: covidwho-1992991

ABSTRACT

OBJECTIVE: To develop a reporting guideline for overviews of reviews of healthcare interventions. DESIGN: Development of the preferred reporting items for overviews of reviews (PRIOR) statement. PARTICIPANTS: Core team (seven individuals) led day-to-day operations, and an expert advisory group (three individuals) provided methodological advice. A panel of 100 experts (authors, editors, readers including members of the public or patients) was invited to participate in a modified Delphi exercise. 11 expert panellists (chosen on the basis of expertise, and representing relevant stakeholder groups) were invited to take part in a virtual face-to-face meeting to reach agreement (≥70%) on final checklist items. 21 authors of recently published overviews were invited to pilot test the checklist. SETTING: International consensus. INTERVENTION: Four stage process established by the EQUATOR Network for developing reporting guidelines in health research: project launch (establish a core team and expert advisory group, register intent), evidence reviews (systematic review of published overviews to describe reporting quality, scoping review of methodological guidance and author reported challenges related to undertaking overviews of reviews), modified Delphi exercise (two online Delphi surveys to reach agreement (≥70%) on relevant reporting items followed by a virtual face-to-face meeting), and development of the reporting guideline. RESULTS: From the evidence reviews, we drafted an initial list of 47 potentially relevant reporting items. An international group of 52 experts participated in the first Delphi survey (52% participation rate); agreement was reached for inclusion of 43 (91%) items. 44 experts (85% retention rate) completed the second Delphi survey, which included the four items lacking agreement from the first survey and five new items based on respondent comments. During the second round, agreement was not reached for the inclusion or exclusion of the nine remaining items. 19 individuals (6 core team and 3 expert advisory group members, and 10 expert panellists) attended the virtual face-to-face meeting. Among the nine items discussed, high agreement was reached for the inclusion of three and exclusion of six. Six authors participated in pilot testing, resulting in minor wording changes. The final checklist includes 27 main items (with 19 sub-items) across all stages of an overview of reviews. CONCLUSIONS: PRIOR fills an important gap in reporting guidance for overviews of reviews of healthcare interventions. The checklist, along with rationale and example for each item, provides guidance for authors that will facilitate complete and transparent reporting. This will allow readers to assess the methods used in overviews of reviews of healthcare interventions and understand the trustworthiness and applicability of their findings.


Subject(s)
Checklist , Health Facilities , Consensus , Delivery of Health Care , Delphi Technique , Humans , Research Design , Surveys and Questionnaires
4.
J Med Virol ; 94(5): 1935-1949, 2022 05.
Article in English | MEDLINE | ID: covidwho-1777575

ABSTRACT

The COVID-19 pandemic and related restrictions can impact mental health. To quantify the mental health burden of COVID-19 pandemic, we conducted a systematic review and meta-analysis, searching World Health Organization COVID-19/PsycInfo/PubMed databases (09/29/2020), including observational studies reporting on mental health outcomes in any population affected by COVID-19. Primary outcomes were the prevalence of anxiety, depression, stress, sleep problems, posttraumatic symptoms. Sensitivity analyses were conducted on severe mental health problems, in high-quality studies, and in representative samples. Subgroup analyses were conducted stratified by age, sex, country income level, and COVID-19 infection status. One-hundred-seventy-three studies from February to July 2020 were included (n = 502,261, median sample = 948, age = 34.4 years, females = 63%). Ninety-one percent were cross-sectional studies, and 18.5%/57.2% were of high/moderate quality. The highest prevalence emerged for posttraumatic symptoms in COVID-19 infected people (94%), followed by behavioral problems in those with prior mental disorders (77%), fear in healthcare workers (71%), anxiety in caregivers/family members of people with COVID-19 (42%), general health/social contact/passive coping style in the general population (38%), depression in those with prior somatic disorders (37%), and fear in other-than-healthcare workers (29%). Females and people with COVID-19 infection had higher rates of almost all outcomes; college students/young adults of anxiety, depression, sleep problems, suicidal ideation; adults of fear and posttraumatic symptoms. Anxiety, depression, and posttraumatic symptoms were more prevalent in low-/middle-income countries, sleep problems in high-income countries. The COVID-19 pandemic adversely impacts mental health in a unique manner across population subgroups. Our results inform tailored preventive strategies and interventions to mitigate current, future, and transgenerational adverse mental health of the COVID-19 pandemic.


Subject(s)
COVID-19 , Pandemics , Adult , COVID-19/epidemiology , Depression/epidemiology , Female , Humans , Mental Health , Prevalence , SARS-CoV-2 , Young Adult
5.
J Affect Disord ; 299: 367-376, 2022 02 15.
Article in English | MEDLINE | ID: covidwho-1598263

ABSTRACT

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.


Subject(s)
COVID-19 , Adolescent , Adult , Child , Cross-Sectional Studies , Health Promotion , Humans , Mental Health , Pandemics , Quality of Life , SARS-CoV-2
6.
J Affect Disord ; 299: 393-407, 2022 02 15.
Article in English | MEDLINE | ID: covidwho-1587438

ABSTRACT

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.


Subject(s)
COVID-19 , Pandemics , Adolescent , Adult , Anxiety , Child , Cross-Sectional Studies , Depression , Humans , Mental Health , Outcome Assessment, Health Care , SARS-CoV-2
8.
Eur Child Adolesc Psychiatry ; 2021 Aug 18.
Article in English | MEDLINE | ID: covidwho-1361303

ABSTRACT

COVID-19 was declared a pandemic in March 2020, resulting in many countries worldwide calling for lockdowns. This study aimed to review the existing literature on the effects of the lockdown measures established as a response to the COVID-19 pandemic on the mental health of children and adolescents. Embase, Ovid, Global Health, PsycINFO, Web of Science, and pre-print databases were searched in this PRISMA-compliant systematic review (PROSPERO: CRD42021225604). We included individual studies reporting on a wide range of mental health outcomes, including risk and protective factors, conducted in children and adolescents (aged ≤ 19 years), exposed to COVID-19 lockdown. Data extraction and quality appraisal were conducted by independent researchers, and results were synthesised by core themes. 61 articles with 54,999 children and adolescents were included (mean age = 11.3 years, 49.7% female). Anxiety symptoms and depression symptoms were common in the included studies and ranged 1.8-49.5% and 2.2-63.8%, respectively. Irritability (range = 16.7-73.2%) and anger (range = 30.0-51.3%), were also frequently reported by children and adolescents. Special needs and the presence of mental disorders before the lockdown, alongside excessive media exposure, were significant risk factors for anxiety. Parent-child communication was protective for anxiety and depression. The COVID-19 lockdown has resulted in psychological distress and highlighted vulnerable groups such as those with previous or current mental health difficulties. Supporting the mental health needs of children and adolescents at risk is key. Clinical guidelines to alleviate the negative effects of COVID-19 lockdown and public health strategies to support this population need to be developed.

9.
Lancet Psychiatry ; 8(9): 797-812, 2021 09.
Article in English | MEDLINE | ID: covidwho-1313512

ABSTRACT

BACKGROUND: Mental disorders might be a risk factor for severe COVID-19. We aimed to assess the specific risks of COVID-19-related mortality, hospitalisation, and intensive care unit (ICU) admission associated with any pre-existing mental disorder, and specific diagnostic categories of mental disorders, and exposure to psychopharmacological drug classes. METHODS: In this systematic review and meta-analysis, we searched Web of Science, Cochrane, PubMed, and PsycINFO databases between Jan 1, 2020, and March 5, 2021, for original studies reporting data on COVID-19 outcomes in patients with psychiatric disorders compared with controls. We excluded studies with overlapping samples, studies that were not peer-reviewed, and studies written in languages other than English, Danish, Dutch, French, German, Italian, and Portuguese. We modelled random-effects meta-analyses to estimate crude odds ratios (OR) for mortality after SARS-CoV-2 infection as the primary outcome, and hospitalisation and ICU admission as secondary outcomes. We calculated adjusted ORs for available data. Heterogeneity was assessed using the I2 statistic, and publication bias was tested with Egger regression and visual inspection of funnel plots. We used the GRADE approach to assess the overall strength of the evidence and the Newcastle Ottawa Scale to assess study quality. We also did subgroup analyses and meta-regressions to assess the effects of baseline COVID-19 treatment setting, patient age, country, pandemic phase, quality assessment score, sample sizes, and adjustment for confounders. This study is registered with PROSPERO, CRD42021233984. FINDINGS: 841 studies were identified by the systematic search, of which 33 studies were included in the systematic review and 23 studies in the meta-analysis, comprising 1 469 731 patients with COVID-19, of whom 43 938 had mental disorders. The sample included 130 807 females (8·9% of the whole sample) and 130 373 males (8·8%). Nine studies provided data on patient race and ethnicity, and 22 studies were rated as high quality. The presence of any mental disorder was associated with an increased risk of COVID-19 mortality (OR 2·00 [95% CI 1·58-2·54]; I2=92·66%). This association was also observed for psychotic disorders (2·05 [1·37-3·06]; I2=80·81%), mood disorders (1·99 [1·46-2·71]; I2=68·32%), substance use disorders (1·76 [1·27-2·44]; I2=47·90%), and intellectual disabilities and developmental disorders (1·73 [1·29-2·31]; I2=90·15%) but not for anxiety disorders (1·07 [0·73-1·56]; I2=11·05%). COVID-19 mortality was associated with exposure to antipsychotics (3·71 [1·74-7·91]; I2=90·31%), anxiolytics (2·58 [1·22-5·44]; I2=96·42%), and antidepressants (2·23 [1·06-4·71]; I2=95·45%). For psychotic disorders, mood disorders, antipsychotics, and anxiolytics, the association remained significant after adjustment for age, sex, and other confounders. Mental disorders were associated with increased risk of hospitalisation (2·24 [1·70-2·94]; I2=88·80%). No significant associations with mortality were identified for ICU admission. Subgroup analyses and meta-regressions showed significant associations of baseline COVID-19 treatment setting (p=0·013) and country (p<0·0001) with mortality. No significant associations with mortality were identified for other covariates. No evidence of publication bias was found. GRADE assessment indicated high certainty for crude mortality and hospitalisation, and moderate certainty for crude ICU admission. INTERPRETATION: Pre-existing mental disorders, in particular psychotic and mood disorders, and exposure to antipsychotics and anxiolytics were associated with COVID-19 mortality in both crude and adjusted models. Although further research is required to determine the underlying mechanisms, our findings highlight the need for targeted approaches to manage and prevent COVID-19 in at-risk patient groups identified in this study. FUNDING: None. TRANSLATIONS: For the Italian, French and Portuguese translations of the abstract see Supplementary Materials section.


Subject(s)
COVID-19/mortality , Hospitalization/statistics & numerical data , Intensive Care Units/statistics & numerical data , Mental Disorders/epidemiology , COVID-19/complications , Humans , Mental Disorders/complications , Risk Factors
10.
Brain Sci ; 11(7)2021 Jun 28.
Article in English | MEDLINE | ID: covidwho-1288803

ABSTRACT

Background: Several neurobiological mechanisms have been proposed to support the hypothesis of a higher COVID-19 risk in individuals with autism spectrum disorder (ASD). However, no real-world data are available on this population. Methods: We compared the period prevalence (March-May 2020) and symptom presentation of COVID-19 infections between a sample of individuals with severe ASD (n = 36) and the staff personnel (n = 35) of two specialized centers. Anti-SARS-Cov-2 antibody positivity was used as a proxy of infection. Additionally, we evaluated vaccine side effects in the same groups. Results: No significant difference was found between the prevalence of COVID-19 positivity between autistic participants and staff personnel. Levels of antibodies against the spike protein and the receptor binding domain were not significantly different between autistic and staff participants. The level of antibodies against the N-terminal domain were higher in autistic individuals. There was a significant difference between the prevalence of symptomatic COVID-19 in autistic participants (9.1%) compared to staff personnel (92.3%). The most frequent side effect among autistic participants was light fever. Conclusions: The present study provides preliminary data on COVID-19 transmission and presentation in ASD. Our data do not support the hypothesis of a higher susceptibility and severity of COVID-19 in people with ASD.

12.
Front Psychiatry ; 11: 803, 2020.
Article in English | MEDLINE | ID: covidwho-732830

ABSTRACT

OBJECTIVES: To investigate the prevalence and risk factors for poor mental health of Chinese university students during the Corona Virus Disease 2019 (COVID-19) pandemic. METHOD: Chinese nation-wide on-line cross-sectional survey on university students, collected between February 12th and 17th, 2020. Primary outcome was prevalence of clinically-relevant posttraumatic stress disorder symptoms. Secondary outcomes on poor mental health included prevalence of clinically-relevant anxiety and depressive symptoms, while posttraumatic growth was considered as indicator of effective coping reaction. RESULTS: Of 2,500 invited Chinese university students, 2,038 completed the survey. Prevalence of clinically-relevant PTSD, anxiety, and depressive symptoms, and post traumatic growth (PTG) was 30.8, 15.5, 23.3, and 66.9% respectively. Older age, knowing people who had been isolated, more ACEs, higher level of anxious attachment, and lower level of resilience all predicted primary outcome (all p < 0.01). CONCLUSIONS: A significant proportion of young adults exhibit clinically relevant posttraumatic stress disorder (PTSD), anxious or depressive symptoms, but a larger portion of individuals showed to effectively cope with COVID-19 pandemic. Interventions promoting resilience should be provided, even remotely, to those subjects with specific risk factors to develop poor mental health during COVID-19 or other pandemics with social isolation.

15.
J Affect Disord ; 275: 48-57, 2020 10 01.
Article in English | MEDLINE | ID: covidwho-614040

ABSTRACT

BACKGROUND: Health care workers (HCW) are at high risk of developing physical/mental health outcomes related to coronavirus syndromes. Nature and frequency of these outcomes are undetermined. METHODS: PRISMA/MOOSE-compliant (PROSPERO-CRD42020180205) systematic review of Web of Science/grey literature until 15th April 2020, to identify studies reporting physical/mental health outcomes in HCW infected/exposed to Severe Acute Respiratory Syndrome -SARS-, Middle East Respiratory Syndrome -MERS-, Novel coronavirus -COVID-19-. Proportion random effect meta-analyses, I2 statistic, quality assessment and sensitivity analysis. RESULTS: 115 articles were included (n=60,458 HCW, age 36.1±7.1, 77.1% female). Physical health outcomes: 75.9% HCW infected by SARS/MERS/COVID-19 reported fever (95%CI=65.9-83.7%, k=12, n=949), 47.9% cough (95%CI=39.2-56.8%, k=14, n=970), 43.6% myalgias (95%CI=31.9-56.0%, k=13, n=898), 42.3% chills (95%CI=20.2-67.9%, k=7, n=716), 41.2% fatigue (95%CI=18.2-68.8%, k=6, n=386), 34.6% headaches (95%CI=23.1-48.2%, k=11, n=893), 31.2% dyspnoea (95%CI=23.2-40.5%, k=12, n=1003), 25.3% sore throat (95%CI=18.8-33.2%, k=8, n=747), 22.2% nausea/vomiting (95%CI=14.9-31.8%, k=6, n=662), 18.8% diarrhoea (95%CI=11.9-28.4%, k=9, n=824). Mental health outcomes: 62.5% HCW exposed to SARS/MERS/COVID-19 reported general health concerns (95%CI=57.0-67,8%, k=2, n=2254), 43.7% fear (95%CI=33.9-54.0%, k=4, n=584), 37.9% insomnia (95%CI=30.9-45.5%, k=6, n=5067), 37.8% psychological distress (95%CI=28.4-48.2%, k=15, n=24,346), 34.4% burnout (95%CI=19.3-53.5%, k=3, n=1337), 29.0% anxiety features (95%CI=14.2-50.3%, k=6, n=9191), 26.3% depressive symptoms (95%CI=12.5-47.1%, k=8, n=9893), 20.7% post-traumatic stress disorder features (95%CI=13.2-31%, k=11, n=3826), 16.1% somatisation (95%CI=0.2-96.0%, k=2, n=2184), 14.0% stigmatisation feelings (95%CI=6.4-28.1%, k=2, n=411). LIMITATIONS: Limited amount of evidence for some outcomes and suboptimal design in several studies included. CONCLUSIONS: SARS/MERS/COVID-19 have a substantial impact on the physical and mental health of HCW, which should become a priority for public health strategies.


Subject(s)
Coronavirus Infections/psychology , Health Personnel/psychology , Mental Health , Pneumonia, Viral/psychology , Severe Acute Respiratory Syndrome/psychology , Anxiety , Burnout, Professional , COVID-19 , Fatigue , Female , Humans , Male , Middle Aged , Pandemics , Stress Disorders, Post-Traumatic
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