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Ahmed N, Barnett P, Greenburgh A, Pemovska T, Stefanidou T, Lyons N, Ikhtabi S, Talwar S, Francis ER, Harris SM, Shah P, Machin K, Jeffreys S, Mitchell L, Lynch C, Foye U, Schlief M, Appleton R, Saunders KRK, Baldwin H, Allan SM, Sheridan-Rains L, Kharboutly O, Kular A, Goldblatt P, Stewart R, Kirkbride JB, Lloyd-Evans B, Johnson S. Mental health in Europe during the COVID-19 pandemic: a systematic review. Lancet Psychiatry 2023; 10:537-556. [PMID: 37321240 PMCID: PMC10259832 DOI: 10.1016/s2215-0366(23)00113-x] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/16/2023] [Accepted: 03/17/2023] [Indexed: 06/17/2023]
Abstract
The COVID-19 pandemic caused immediate and far-reaching disruption to society, the economy, and health-care services. We synthesised evidence on the effect of the pandemic on mental health and mental health care in high-income European countries. We included 177 longitudinal and repeated cross-sectional studies comparing prevalence or incidence of mental health problems, mental health symptom severity in people with pre-existing mental health conditions, or mental health service use before versus during the pandemic, or between different timepoints of the pandemic. We found that epidemiological studies reported higher prevalence of some mental health problems during the pandemic compared with before it, but that in most cases this increase reduced over time. Conversely, studies of health records showed reduced incidence of new diagnoses at the start of the pandemic, which further declined during 2020. Mental health service use also declined at the onset of the pandemic but increased later in 2020 and through 2021, although rates of use did not return to pre-pandemic levels for some services. We found mixed patterns of effects of the pandemic on mental health and social outcome for adults already living with mental health conditions.
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Affiliation(s)
- Nafiso Ahmed
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK.
| | - Phoebe Barnett
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK; Centre for Outcomes Research and Effectiveness, University College London, London, UK; National Collaborating Centre for Mental Health, Royal College of Psychiatrists, London, UK
| | - Anna Greenburgh
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Tamara Pemovska
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Theodora Stefanidou
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Natasha Lyons
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Sarah Ikhtabi
- Division of Psychiatry, University College London, London, UK
| | - Shivangi Talwar
- Division of Psychiatry, University College London, London, UK
| | - Emma R Francis
- Department of Clinical, Educational and Health Psychology, Division of Psychology and Language Sciences, University College London, London, UK
| | - Samantha M Harris
- Department of Health Promotion and Development, Faculty of Psychology, University of Bergen, Bergen, Norway
| | - Prisha Shah
- Lived Experience Working Group, University College London, London, UK
| | - Karen Machin
- Lived Experience Working Group, University College London, London, UK
| | - Stephen Jeffreys
- Lived Experience Working Group, University College London, London, UK
| | - Lizzie Mitchell
- Lived Experience Working Group, University College London, London, UK
| | - Chris Lynch
- Lived Experience Working Group, University College London, London, UK
| | - Una Foye
- National Institute of Health and Care Research Mental Health Policy Research Unit, King's College London, London, UK
| | - Merle Schlief
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Rebecca Appleton
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Katherine R K Saunders
- National Institute of Health and Care Research Mental Health Policy Research Unit, King's College London, London, UK
| | - Helen Baldwin
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Sophie M Allan
- Cambridgeshire and Peterborough National Health Service Foundation Trust, South London and Maudsley National Health Service Foundation Trust, London, UK
| | - Luke Sheridan-Rains
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | | | - Ariana Kular
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Peter Goldblatt
- Institute of Health Equity, University College London, London, UK
| | - Robert Stewart
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; South London and Maudsley National Health Service Foundation Trust, London, UK
| | | | - Brynmor Lloyd-Evans
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK
| | - Sonia Johnson
- National Institute of Health and Care Research Mental Health Policy Research Unit, University College London, London, UK; Camden and Islington National Health Service Foundation Trust, London, UK
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Wong KKY, Wang Y, Esposito G, Raine A. A three-timepoint network analysis of Covid-19's impact on schizotypal traits, paranoia and mental health through loneliness. UCL OPEN ENVIRONMENT 2022; 4:e044. [PMID: 37228468 PMCID: PMC10208351 DOI: 10.14324/111.444/ucloe.000044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 08/16/2022] [Indexed: 05/27/2023]
Abstract
The 2019 coronavirus (Covid-19) pandemic has impacted people's mental wellbeing. Studies to date have examined the prevalence of mental health symptoms (anxiety and depression), yet fewer longitudinal studies have compared across background factors and other psychological variables to identify vulnerable subgroups in the general population. This study tests to what extent higher levels of schizotypal traits and paranoia are associated with mental health variables 6- and 12-months since April 2020. Over 2300 adult volunteers (18-89 years, female = 74.9%) with access to the study link online were recruited from the UK, the USA, Greece and Italy. Self-reported levels of schizotypy, paranoia, anxiety, depression, aggression, loneliness and stress from three timepoints (17 April to 13 July 2020, N1 = 1599; 17 October to 31 January 2021, N2 = 774; and 17 April to 31 July 2021, N3 = 586) were mapped using network analysis and compared across time and background variables (sex, age, income, country). Schizotypal traits and paranoia were positively associated with poorer mental health through loneliness, with no effect of age, sex, income levels, countries and timepoints. Loneliness was the most influential variable across all networks, despite overall reductions in levels of loneliness, schizotypy, paranoia and aggression during the easing of lockdown (time 3). Individuals with higher levels of schizotypal traits/paranoia reported poorer mental health outcomes than individuals in the low-trait groups. Schizotypal traits and paranoia are associated with poor mental health outcomes through self-perceived feelings of loneliness, suggesting that increasing social/community cohesion may improve individuals' mental wellbeing in the long run.
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Affiliation(s)
- Keri Ka-Yee Wong
- Department of Psychology and Human Development, University College London, London, UK
| | - Yi Wang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
| | - Gianluca Esposito
- Department of Psychology and Cognitive Science, University of Trento, Rovereto, Italy
- Psychology Program, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
| | - Adrian Raine
- Departments of Criminology, Psychiatry, and Psychology, University of Pennsylvania, Philadelphia, PA, USA
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Christensen R, Haenschel C, Gaigg SB, Fett AKJ. Loneliness, positive, negative and disorganised Schizotypy before and during the COVID-19 pandemic. Schizophr Res Cogn 2022; 29:100243. [PMID: 35223431 PMCID: PMC8860670 DOI: 10.1016/j.scog.2022.100243] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 02/11/2022] [Accepted: 02/11/2022] [Indexed: 11/29/2022] Open
Abstract
Loneliness is common in psychosis and occurs along a continuum. Here we investigate inter-relationships between loneliness, three-dimensional schizotypy, and depressive symptoms before and during the COVID-19 pandemic. The sample included 507 university students (48.3% participated before and 51.7% during the COVID-19 pandemic) who completed the Multidimensional Schizotypy Scale-Brief, the Counseling Center Assessment of Psychological Symptoms depression scale and the University of California, Los Angeles Loneliness Scale. Schizotypy and depression scores were regressed onto loneliness individually and in multiple regressions. The cohorts did not differ in any of the schizotypy domains (all p > .29). Depressive symptoms (p = .05) and loneliness (p = .006) were higher during the pandemic than before. Across cohorts, loneliness was significantly associated with positive (β = 0.23, p < .001), negative (β = 0.44, p < .001), and disorganised schizotypy (β = 0.44, p < .001), and with depression (β = 0.72, p < .001). Schizotypy together explained a significant amount of variance in loneliness (R2 = 0.26), with significant associations with positive (β = −0.09, p = .047), negative (β = 0.31, p < .001) and disorganised schizotypy (β = 0.34, p < .001). When depression was included (β = 0.69, p < .001), only positive (β = −0.09, p = .008) and negative schizotypy (β = 0.22, p < .001) significantly predicted loneliness. When all schizotypy dimensions and depression were considered together, only negative schizotypy and depression significantly predicted loneliness. Loneliness and depressive symptoms were higher during the pandemic, but this did not relate to cohort differences in schizotypy. Loneliness is uniquely associated with negative schizotypy and depression, but not disorganised schizotypy. Certain aspects of positive schizotypy may protect against loneliness. Loneliness and depressive symptoms were higher in students during the COVID-19 pandemic than before. Cohorts of students assessed before and during the pandemic showed similar levels of schizotypy.
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Affiliation(s)
- Ronja Christensen
- Department of Psychology, City, University of London, London ECIV 0HB, UK.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, De Crespigny Park, SE5 8AF London, UK
| | - Corinna Haenschel
- Department of Psychology, City, University of London, London ECIV 0HB, UK
| | - Sebastian B Gaigg
- Department of Psychology, City, University of London, London ECIV 0HB, UK
| | - Anne-Kathrin J Fett
- Department of Psychology, City, University of London, London ECIV 0HB, UK.,King's College London, Institute of Psychiatry, Psychology and Neuroscience, Department of Psychosis Studies, De Crespigny Park, SE5 8AF London, UK
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Daimer S, Mihatsch LL, Neufeld SAS, Murray GK, Knolle F. Investigating the relationship of COVID-19 related stress and media consumption with schizotypy, depression, and anxiety in cross-sectional surveys repeated throughout the pandemic in Germany and the UK. eLife 2022; 11:75893. [PMID: 35781372 PMCID: PMC9252577 DOI: 10.7554/elife.75893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 06/01/2022] [Indexed: 11/23/2022] Open
Abstract
Background: Studies report a strong impact of the COVID-19 pandemic and related stressors on the mental well-being of the general population. In this paper, we investigated whether COVID-19 related concerns and social adversity affected schizotypal traits, anxiety, and depression using structural equational modelling. In mediation analyses, we furthermore explored whether these associations were mediated by healthy (sleep and physical exercise) or unhealthy behaviours (drug and alcohol consumption, excessive media use). Methods: We assessed schizotypy, depression, and anxiety as well as healthy and unhealthy behaviours and a wide range of sociodemographic scores using online surveys from residents of Germany and the United Kingdom over 1 year during the COVID-19 pandemic. Four independent samples were collected (April/May 2020: N=781, September/October 2020: N=498, January/February 2021: N=544, May 2021: N=486). The degree of schizotypy was measured using the Schizotypal Personality Questionnaire (SPQ), anxiety, and depression symptoms were surveyed with the Symptom Checklist (SCL-27), and healthy and unhealthy behaviours were assessed with the Coronavirus Health Impact Survey (CRISIS). Structural equation models were used to consider the influence of COVID-19 related concerns and social adversity on depressive and anxiety-related symptoms and schizotypal traits in relation to certain healthy (sleep and exercise) and unhealthy behaviours (alcohol and drug consumption, excessive media use). Results: The results revealed that COVID-19 related life concerns were significantly associated with schizotypy in the September/October 2020 and May 2021 surveys, with anxiety in the September/October 2020, January/February 2021, and May 2021 surveys, and with depressive symptoms in all surveys. Social adversity significantly affected the expression of schizotypal traits and depressive and anxiety symptoms in all four surveys. Importantly, we found that excessive media consumption (>4 hr per day) fully mediated the relationship between COVID-19 related life concerns and schizotypal traits in the January/February 2021 survey. Furthermore, several of the surveys showed that excessive media consumption was associated with increased depressive and anxiety-related symptoms in people burdened by COVID-19 related life. Conclusions: The ongoing uncertainties of the pandemic and the restrictions on social life have a strong impact on mental well-being and especially the expression of schizotypal traits. The negative impact is further boosted by excessive media consumption, which is especially critical for people with high schizotypal traits. Funding: FK received funding from the European Union’s Horizon 2020 (Grant number 754,462). SN received funding from the Cundill Centre for Child and Youth Depression at the Centre for Addiction and Mental Health, Toronto, Canada and the Wellcome Trust Institutional Strategic Support Fund from the University of Cambridge. The 2020 COVID-19 pandemic, and the measures different governments took to contain it, harmed many people’s mental well-being. The restrictions, combined with pandemic-related uncertainty, caused many individuals to experience increased stress, depression, and anxiety. Many people turned to unhealthy behaviours to cope, including consuming more alcohol or drugs, using media excessively, developing poor sleeping habits, or reducing the amount of exercise they did. Stress, drugs, poor sleep, and uncertainty can increase an individual’s risk of developing psychotic symptoms, including delusions, hallucinations, or difficulty thinking clearly. These symptoms may be temporary or part of a more lasting condition, like schizophrenia. The risk of developing these symptoms increases in people with ‘schizotypal traits’, such as a lack of close relationships, paranoia, or unusual or implausible beliefs. These individuals may be especially vulnerable to the harmful mental health effects of the pandemic. Daimer et al. demonstrated that people who were more worried about their life stability or financial situation during the 2020 COVID-19 pandemic had worse mental well-being than those who felt secure. In the experiments, volunteers completed a series of online mental health questionnaires at four different time points during the pandemic. People who reported feeling lonely, having negative thoughts, or experiencing fewer positive social interactions had more symptoms of mental illness. People who experienced more life disruptions also reported more anxiety or depression symptoms and more schizotypal traits. Daily consumption of at least four hours of digital media exacerbated negative mental health symptoms, and people with more pandemic-related life concerns also spent more time on digital media Daimer et al. suggest that increased media consumption among people with pandemic-related hardships may have increased mental health symptoms and schizotypal traits in these individuals. The survey results suggest that maintaining a healthy lifestyle, including meaningful relationships, is essential to staying mentally healthy during extreme situations like a global pandemic. Protective interventions – such as strengthening social support networks, providing mental health education, or increasing mental healthcare provisions – are essential to prevent poor mental health outcomes during future crises.
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Affiliation(s)
- Sarah Daimer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Lorenz L Mihatsch
- Department of Anaesthesiology and Intensive Care Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.,Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Sharon A S Neufeld
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom.,Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
| | - Franziska Knolle
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany.,Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
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