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Raman S, Hyland P, Coogan AN. Stability of social jetlag and sleep timing into the second year of the Covid-19 pandemic: Results from a longitudinal study of a nationally representative adult sample in Ireland. Chronobiol Int 2024; 41:29-37. [PMID: 38093635 DOI: 10.1080/07420528.2023.2292098] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/02/2023] [Indexed: 01/16/2024]
Abstract
The early phase of the COVID-19 pandemic has previously been associated with marked changes in sleep/wake timing arising from the imposition of society-wide infection mitigation measures. Such observations are considered of broader significance as they reveal the social pressures that sleep timing normally operates under. In order to assess how persistent such changes were as the COVID-19 pandemic developed, we assessed sleep timing and quality in a longitudinal study of a nationally-representative sample of Irish adults with data collected at two time-points (December 2021 and March 2021). Data on social jetlag and chronotype was derived from the micro Munich Chronotype Questionnaire from 830 and 843 participants who provided data in December 2020 and March 2021 respectively, of which 338 contributed data to both timepoints. Demographics and measures of insomnia symptoms, anxiety, depression and loneliness were also collected, and data was analysed both within-subjects and cross-sectionally within data waves. Social jetlag (the mismatch between sleep timing on "work" and "free" days) and other measures of sleep timing were stable across the two time-points, although insomnia symptoms improved slightly from December 2020 to March 2021. The mean social jetlag at both timepoints was ~ 30 minutes, considerably lesser than reported pre-pandemic levels in similar populations. Multiple regression analysis of cross-sectional data reveals that the timing of midsleep on "free" days was only a weak-to-moderate predictor of social jetlag, whilst hours worked per week was the strongest predictor of social jetlag. Requirement for "face-to-face" contact with the public at work and urban location of residence also emerged as predictors of social jetlag, although insomnia, anxiety and depression symptoms and loneliness rating did not. We conclude that sleep timing changes that occurred during the initial phase of the COVID-19 pandemic persisted into the second year of the pandemic, and these results further illustrate the key roles working practices and other social factors have in shaping social jetlag.
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Affiliation(s)
- Sudha Raman
- Department of Psychology, Maynooth University, Kildare, Ireland
| | - Philip Hyland
- Department of Psychology, Maynooth University, Kildare, Ireland
| | - Andrew N Coogan
- Department of Psychology, Maynooth University, Kildare, Ireland
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2
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Hyland P, Vallières F, McBride O, Murphy J, Shevlin M, Bentall RP, Butter S, Hartman TK, Karatzias T, MacLachlan M, Maguire R, Power JM, Spikol E, Daly M. Mental health of adults in Ireland during the first year of the COVID-19 pandemic: results from a nationally representative, longitudinal study. Psychol Med 2023; 53:3766-3768. [PMID: 34629129 PMCID: PMC8564049 DOI: 10.1017/s0033291721004360] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 09/30/2021] [Accepted: 10/06/2021] [Indexed: 12/26/2022]
Affiliation(s)
- Philip Hyland
- Department of Psychology, Maynooth University, Kildare, Ireland
| | | | - Orla McBride
- School of Psychology, Ulster University, Coleraine, Northern Ireland
| | - Jamie Murphy
- School of Psychology, Ulster University, Coleraine, Northern Ireland
| | - Mark Shevlin
- School of Psychology, Ulster University, Coleraine, Northern Ireland
| | - Richard P. Bentall
- Department of Psychology, The University of Sheffield, Sheffield, England
| | - Sarah Butter
- Department of Psychology, The University of Sheffield, Sheffield, England
| | - Todd K. Hartman
- Department of Social Statistics, The University of Manchester, Manchester, England
| | - Thanos Karatzias
- School of Health & Social Care, Edinburgh Napier University, Edinburgh, Scotland
| | - Malcolm MacLachlan
- Department of Psychology, Maynooth University, Kildare, Ireland
- HSE National Clinical Programme for People with Disability, Dublin, Ireland
| | - Rebecca Maguire
- Department of Psychology, Maynooth University, Kildare, Ireland
| | | | - Eric Spikol
- Department of Psychology, Maynooth University, Kildare, Ireland
| | - Michael Daly
- Department of Psychology, Maynooth University, Kildare, Ireland
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3
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Bennett KM, Panzeri A, Derrer-Merk E, Butter S, Hartman TK, Mason L, McBride O, Murphy J, Shevlin M, Gibson-Miller J, Levita L, Martinez AP, McKay R, Lloyd A, Stocks TVA, Bottesi G, Vidotto G, Bentall RP, Bertamini M. Predicting resilience during the COVID-19 Pandemic in the United Kingdom: Cross-sectional and longitudinal results. PLoS One 2023; 18:e0283254. [PMID: 37167208 PMCID: PMC10174573 DOI: 10.1371/journal.pone.0283254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 03/04/2023] [Indexed: 05/13/2023] Open
Abstract
Although the COVID-19 pandemic has impacted the psychological wellbeing of some people, there is evidence that many have been much less affected. The Ecological Model of Resilience (EMR) may explain why some individuals are not resilient whilst others are. In this study we test the EMR in a comparison of UK survey data collected from the COVID-19 Psychological Research Consortium (C19PRC) longitudinal study of a representative sample of the United Kingdom (UK) adult population and data from an Italian arm of the study. We first compare data from the third wave of the UK arm of the study, collected in July/August 2020, with data from an equivalent sample and stage of the pandemic in Italy in July 2020. Next, using UK longitudinal data collected from C19PRC Waves 1, 3 and 5, collected between March 2020 and April 2021 we identify the proportion of people who were resilient. Finally, we examine which factors, drawn from the EMR, predict resilient and non-resilient outcomes. We find that the 72% of the UK sample was resilient, in line with the Italian study. In the cross-sectional logistic regression model, age and self-esteem were significantly associated with resilience whilst death anxiety thoughts, neuroticism, loneliness, and Post Traumatic Stress Disorder (PTSD) symptoms related to COVID-19 were significantly associated with Non-Resilient outcomes. In the longitudinal UK analysis, at Wave 5, 80% of the sample was Resilient. Service use, belonging to wider neighbourhood, self-rated health, self-esteem, openness, and externally generated death anxiety were associated with Resilient outcomes. In contrast, PTSD symptoms and loneliness were associated with Non-Resilient outcomes. The EMR effectively explained the results. There were some variables which are amenable to intervention which could increase resilience in the face of similar future challenges.
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Affiliation(s)
- Kate M Bennett
- Department of Psychology, University of Liverpool, Liverpool, United Kingdom
| | - Anna Panzeri
- Department of General Psychology, University of Padova, Padova, Italy
| | | | - Sarah Butter
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Todd K Hartman
- Department of Social Statistics, University of Manchester, Manchester, United Kingdom
| | - Liam Mason
- Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | - Orla McBride
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Jamie Murphy
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Mark Shevlin
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Jilly Gibson-Miller
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
| | - Liat Levita
- School of Psychology, University of Sussex, Brighton, United Kingdom
| | - Anton P Martinez
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
| | - Ryan McKay
- Department of Psychology, Royal Holloway, University of London, London, United Kingdom
| | - Alex Lloyd
- Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | - Thomas V A Stocks
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
| | - Gioa Bottesi
- Department of General Psychology, University of Padova, Padova, Italy
| | - Giulo Vidotto
- Department of General Psychology, University of Padova, Padova, Italy
| | - Richard P Bentall
- Department of Psychology, University of Sheffield, Sheffield, United Kingdom
| | - Marco Bertamini
- Department of General Psychology, University of Padova, Padova, Italy
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Kislitsyn D, King EJ, Schapov D, Aleksandrova E. Factors associated with psychological distress during the COVID-19 pandemic: Data from two early waves in Russia. Glob Public Health 2023; 18:2270691. [PMID: 37885273 DOI: 10.1080/17441692.2023.2270691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 10/09/2023] [Indexed: 10/28/2023]
Abstract
There is limited information about how the mental health of people has changed over time during the COVID-19 pandemic in low- and middle-income countries. In a cross-sectional study, we identified factors associated with psychological distress at two periods immediately after two peaks of the COVID-19 pandemic in Russia. Data were collected via online surveys. In May-June 2020, we surveyed 373 respondents across Russia. In January-February 2021, we surveyed 743 people, using the same approach for survey distribution. With Kessler-10 as a measure of psychological distress, we used regression analysis to determine factors associated with higher psychological distress among Russians. Levels of psychological distress were high in both time periods and did not significantly change between the surveys. Having had COVID-19, losing one's job, experiencing problems accessing healthcare, and changing drinking behaviour during the pandemic were associated with higher psychological distress. Apart from getting sick or worrying about the virus, psychological distress is affected by restrictions and the consequences of the pandemic situation. As the COVID-19 pandemic continues, actions are needed to address the mental well-being of the population in Russia.
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Affiliation(s)
- Dmitry Kislitsyn
- Centre for Public Health Studies, Sechenov University, Moscow, Russian Federation
| | - Elizabeth J King
- Department of Health Behavior and Health Education, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Dmitry Schapov
- Centre for Public Health Studies, Sechenov University, Moscow, Russian Federation
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Martinez AP, Shevlin M, Valiente C, Hyland P, Bentall RP. Paranoid beliefs and conspiracy mentality are associated with different forms of mistrust: A three-nation study. Front Psychol 2022; 13:1023366. [PMID: 36329737 PMCID: PMC9623260 DOI: 10.3389/fpsyg.2022.1023366] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 09/13/2022] [Indexed: 01/05/2024] Open
Abstract
Paranoia and conspiracy are terms typically used interchangeably. However, although the underlying content of these types of beliefs might be similar (e.g., seeing others as powerful and threatening), recent research suggests that these constructs differ in important ways. One important feature shared by both constructs is excessive mistrust but this aspect might play different roles in each belief system. In this study we explored the strength of associations of different trust predictors (i.e., trust in institutions, trust in sources of information, perceptual trust, and interpersonal trust) between conspiracy mentality and paranoid beliefs. We tested this association in a large representative multinational sample (United Kingdom n = 2025; Spain n = 1951; and Ireland n = 1041). Confirmatory factor analysis supported a two-factor model of conspiracy and paranoid beliefs in each nation sample. Path and equality of constraints analysis revealed that paranoia was more strongly associated with perceptual mistrust (bias towards mistrusting unfamiliar faces) whereas conspiracy was more strongly associated with mistrust in political institutions. Although interpersonal mistrust and trust in social sources of information were associated significantly with conspiracy their association with paranoid beliefs was stronger. These findings clarify the role of different trust processes in both belief systems. Limitations of this study are discussed.
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Affiliation(s)
- Anton P. Martinez
- Department of Psychology, The University of Sheffield, Sheffield, United Kingdom
| | - Mark Shevlin
- School of Psychology, Ulster University, Coleraine, United Kingdom
| | - Carmen Valiente
- Department of Personality Assessment and Clinical Psychology, Complutense University of Madrid, Madrid, Spain
| | - Philip Hyland
- Department of Psychology, Maynooth University, Maynooth, Ireland
| | - Richard P. Bentall
- Department of Psychology, The University of Sheffield, Sheffield, United Kingdom
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Ceannt R, Vallieres F, Burns H, Murphy J, Hyland P. Covid-19 vaccine hesitancy and resistance amongst parents of children under 18 years of age in Ireland. Vaccine 2022; 40:6196-6200. [PMID: 36127211 PMCID: PMC9448701 DOI: 10.1016/j.vaccine.2022.08.073] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 08/27/2022] [Accepted: 08/31/2022] [Indexed: 12/05/2022]
Abstract
As COVID-19 vaccination for children becomes commonplace in Ireland, it is important to understand parent’s willingness to vaccinate their children and factors associated with hesitancy and resistance. Amongst a nationally representative sample of parents from Ireland, surveyed in March/April 2021, 52.1% had, or were intending to have their child vaccinated; 30.1% reported they might vaccine their child; and 17.8% reported they would not vaccinate their child. Compared to vaccine-accepting parents, hesitant parents were more likely to be younger, less educated, poorer, to not know somebody who was sick from COVID-19, to believe the COVID-19 vaccines were unsafe, and to hold negative beliefs about scientists and healthcare professionals. Vaccine-resistant parents were more likely to be younger, living alone, to distrust scientists, and to believe the COVID-19 vaccines were unsafe. Public health messaging should target younger, lower income parents with clear information about the safety of COVID-19 vaccines for children.
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Affiliation(s)
- Ruth Ceannt
- Global Health Programme, Health Service Executive, Dr. Steevens' Hospital, Kilmainham, Dublin 8, Ireland.
| | - Frederique Vallieres
- Trinity Centre for Global Health, Trinity College Dublin, The University of Dublin, College Green, Dublin 2, Ireland.
| | - Heather Burns
- National Cancer Control Programme, Kings Inns House, 200 Parnell Street, Dublin 1, Ireland.
| | - Jamie Murphy
- School of Psychology, Ulster University, Cromore Road, Coleraine, Co. Londonderry, Northern Ireland.
| | - Philip Hyland
- Department of Psychology, Maynooth University, Maynooth, Co. Kildare, Ireland.
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Abstract
AIMS Current information about the prevalence of various mental health disorders in the general adult population of the Republic of Ireland is lacking. In this study, we examined the prevalence of 12 common mental disorders, the proportion of adults who screened positive for any disorder, the sociodemographic factors associated with meeting criteria for a disorder and the associations between each disorder and history of attempted suicide. METHODS A non-probability nationally representative sample (N = 1110) of adults living in Ireland completed self-report measures of 12 mental health disorders. Effect sizes were calculated using odds ratios from logistic regression models, and population attributable risk fractions (PAFs) were estimated to quantify the associations between each disorder and attempted suicide. RESULTS Prevalence rates ranged from 15.0% (insomnia disorder) to 1.7% (histrionic personality disorder). Overall, 42.5% of the sample met criteria for a mental health disorder, and 11.1% had a lifetime history of attempted suicide. Younger age, being a shift worker and trauma exposure were independently associated with a higher likelihood of having a mental health disorder, while being in university was associated with a lower likelihood of having a disorder. ICD-11 complex posttraumatic stress disorder, borderline personality disorder and insomnia disorder had the highest PAFs for attempted suicide. CONCLUSIONS Mental health disorder prevalence in Ireland is relatively high compared to international estimates. The findings are discussed in relation to important mental health policy implications.
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Raman S, Hyland P, Coogan AN. Temporal associations between insomnia and depression symptoms in adults during the COVID-19 pandemic: A cross-lagged path modelling analysis. Psychiatry Res 2022; 312:114533. [PMID: 35381505 PMCID: PMC8964445 DOI: 10.1016/j.psychres.2022.114533] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 03/07/2022] [Accepted: 03/26/2022] [Indexed: 11/24/2022]
Abstract
It is well recognised that there is an intimate relationship between sleep and depression, with poor quality or short duration sleep associated with greater symptoms of depression. However, it is not clear from the current evidence base what the temporal relationship is between symptoms of insomnia and depression. Further, it is also unclear how the COVID-19 pandemic may impact on such relationships. In this study we have examined the longitudinal relationships between symptoms of depression and insomnia during the COVID-19 pandemic at two points separated by one year (April/May 2020 and March/April 2021) in a sample of 1032 Irish adults using a cross-lagged paths model. We report that there is a bidirectional relationship across time between depression and insomnia symptoms (β = -0.115 between Insomnia symptoms and subsequent depression symptoms and β = -0.163 between depression symptoms and subsequent insomnia symptoms; scales scored in opposite directions), and that these relationships persist when COVID-19 anxiety, age and sex are introduced into the model. Our analyses suggest that during the first year of the COVID-19 pandemic that insomnia symptoms predicted depression symptoms one year later, and conversely that depression symptoms predicted subsequent insomnia symptoms.
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Manzira CK, Charly A, Caulfield B. Assessing the impact of mobility on the incidence of COVID-19 in Dublin City. SUSTAINABLE CITIES AND SOCIETY 2022; 80:103770. [PMID: 35165649 PMCID: PMC8828378 DOI: 10.1016/j.scs.2022.103770] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/05/2022] [Accepted: 02/08/2022] [Indexed: 05/26/2023]
Abstract
COVID-19 has had a major impact on the transport systems around the world. Several transport-related policies were implemented in short period of time to contain the spread of the pandemic. These policies had a major influence on travel behavior and people's perception towards the safety of different modes of transport, especially public transport, thus affecting several sustainable mobility initiatives. To build a resilient and sustainable transport system and to rebuild trust in public transport, it is important to understand the role of mobility in the spread of COVID-19 pandemic. The present study investigates the relationship between mobility and reported COVID-19 infections using data from Dublin city. Different modes of transport including traffic volume, bus passengers, pedestrians and cyclists were considered in the study during a forty week period. Multiple scenarios involving two-week lag and three-week lag of mobility data and COVID-19 infections were considered in building statistical models. Results showed that, 36.2% of the reported COVID-19 infections after a two-week lag and 33% of the infections after a three-week lag. Our research examines the links between movements and COVID-19 numbers, but clearly this was not the only reason for increased case numbers as many other events impacted on increased numbers. The study further discusses the policy implications and strategies for ensuring a resilient and sustainable transport system.
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Affiliation(s)
- Christopher K Manzira
- Centre for Transport Research, Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Ireland
| | - Anna Charly
- Centre for Transport Research, Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Ireland
| | - Brian Caulfield
- Centre for Transport Research, Department of Civil, Structural and Environmental Engineering, Trinity College Dublin, Ireland
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Shevlin M, Butter S, McBride O, Murphy J, Gibson-Miller J, Hartman TK, Levita L, Mason L, Martinez AP, McKay R, Stocks TVA, Bennett KM, Hyland P, Vallieres F, Valiente C, Vazquez C, Contreras A, Peinado V, Trucharte A, Bertamini M, Panzeri A, Bruno G, Granziol U, Mignemi G, Spoto A, Vidotto G, Bentall RP. Measurement invariance of the Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) across four European countries during the COVID-19 pandemic. BMC Psychiatry 2022; 22:154. [PMID: 35232409 PMCID: PMC8886334 DOI: 10.1186/s12888-022-03787-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 02/16/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The Patient Health Questionnaire (PHQ-9) and Generalized Anxiety Disorder scale (GAD-7) are self-report measures of major depressive disorder and generalised anxiety disorder. The primary aim of this study was to test for differential item functioning (DIF) on the PHQ-9 and GAD-7 items based on age, sex (males and females), and country. METHOD Data from nationally representative surveys in UK, Ireland, Spain, and Italy (combined N = 6,054) were used to fit confirmatory factor analytic and multiple-indictor multiple-causes models. RESULTS Spain and Italy had higher latent variable means than the UK and Ireland for both anxiety and depression, but there was no evidence for differential items functioning. CONCLUSIONS The PHQ-9 and GAD-7 scores were found to be unidimensional, reliable, and largely free of DIF in data from four large nationally representative samples of the general population in the UK, Ireland, Italy and Spain.
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Affiliation(s)
- Mark Shevlin
- grid.12641.300000000105519715Ulster University, Coleraine, Northern Ireland
| | - Sarah Butter
- Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, S1 2LT, Sheffield, England.
| | - Orla McBride
- grid.12641.300000000105519715Ulster University, Coleraine, Northern Ireland
| | - Jamie Murphy
- grid.12641.300000000105519715Ulster University, Coleraine, Northern Ireland
| | - Jilly Gibson-Miller
- grid.11835.3e0000 0004 1936 9262Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, S1 2LT Sheffield, England
| | - Todd K. Hartman
- grid.5379.80000000121662407University of Manchester, Manchester, England
| | - Liat Levita
- grid.11835.3e0000 0004 1936 9262Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, S1 2LT Sheffield, England
| | - Liam Mason
- grid.83440.3b0000000121901201University College London, London, England
| | - Anton P. Martinez
- grid.11835.3e0000 0004 1936 9262Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, S1 2LT Sheffield, England
| | - Ryan McKay
- grid.4464.20000 0001 2161 2573Royal Holloway, University of London, Egham, England
| | - Thomas VA Stocks
- grid.11835.3e0000 0004 1936 9262Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, S1 2LT Sheffield, England
| | - Kate M Bennett
- grid.10025.360000 0004 1936 8470University of Liverpool, Liverpool, England
| | - Philip Hyland
- grid.95004.380000 0000 9331 9029Maynooth University, Maynooth, Ireland
| | | | - Carmen Valiente
- grid.4795.f0000 0001 2157 7667Complutense University of Madrid, Madrid, Spain
| | - Carmelo Vazquez
- grid.4795.f0000 0001 2157 7667Complutense University of Madrid, Madrid, Spain
| | - Alba Contreras
- grid.4795.f0000 0001 2157 7667Complutense University of Madrid, Madrid, Spain
| | - Vanesa Peinado
- grid.4795.f0000 0001 2157 7667Complutense University of Madrid, Madrid, Spain
| | - Almudena Trucharte
- grid.4795.f0000 0001 2157 7667Complutense University of Madrid, Madrid, Spain
| | - Marco Bertamini
- grid.10025.360000 0004 1936 8470University of Liverpool, Liverpool, England
| | - Anna Panzeri
- grid.5608.b0000 0004 1757 3470University of Padua, Padua, Italy
| | - Giovanni Bruno
- grid.5608.b0000 0004 1757 3470University of Padua, Padua, Italy
| | | | | | - Andrea Spoto
- grid.5608.b0000 0004 1757 3470University of Padua, Padua, Italy
| | - Giulio Vidotto
- grid.5608.b0000 0004 1757 3470University of Padua, Padua, Italy
| | - Richard P. Bentall
- grid.11835.3e0000 0004 1936 9262Department of Psychology, University of Sheffield, Cathedral Court, 1 Vicar Lane, S1 2LT Sheffield, England
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11
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McBride O, Butter S, Hartman TK, Murphy J, Hyland P, Shevlin M, Gibson-Miller J, Levita L, Mason L, Martinez AP, McKay R, Lloyd A, Stocks TVA, Bennett KM, Vallières F, Karatzias T, Valiente C, Vazquez C, Contreras A, Bertamini M, Panzeri A, Bruno G, Bentall RP. Sharing data to better understand one of the world's most significant shared experiences: data resource profile of the longitudinal COVID-19 psychological research consortium (C19PRC) study. Int J Popul Data Sci 2022; 5:1704. [PMID: 35310464 PMCID: PMC8900652 DOI: 10.23889/ijpds.v5i4.1704] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
This paper serves to alert IJPDS readers to the availability of a major new longitudinal survey data resource, the COVID-19 Psychological Research Consortium (C19PRC) Study, which is being released for secondary use via the Open Science Framework. The C19PRC Study is a rich and detailed dataset that provides a convenient and valuable foundation from which to study the social, political, and health status of European adults during an unprecedented time of change as a direct result of the COVID-19 pandemic and Brexit. Here, we provide an overview of the C19PRC Study design, with the purpose of stimulating interest about the study among social scientists and maximising use of this resource.
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Affiliation(s)
- Orla McBride
- School of Psychology, Ulster University, Coleraine, Northern Ireland, BT52 1SA
| | - Sarah Butter
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
| | - Todd K. Hartman
- Department of Social Statistics, University of Manchester, Manchester, England, M13 9PL
| | - Jamie Murphy
- School of Psychology, Ulster University, Coleraine, Northern Ireland, BT52 1SA
| | - Philip Hyland
- Department of Psychology, Maynooth University, Kildare, Ireland, W23 F2K8
| | - Mark Shevlin
- School of Psychology, Ulster University, Coleraine, Northern Ireland, BT52 1SA
| | - Jilly Gibson-Miller
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
| | - Liat Levita
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
| | - Liam Mason
- Division of Psychology and Language Sciences, University College London, London, England, WC1E 6BT
| | - Anton P. Martinez
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
| | - Ryan McKay
- Department of Psychology, Royal Holloway, University of London, London, England, TW20 0EX
| | - Alex Lloyd
- Department of Psychology, Royal Holloway, University of London, London, England, TW20 0EX
| | - Thomas VA Stocks
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
| | - Kate M Bennett
- Department of Psychology, University of Liverpool, Liverpool, England, L69 3BX
| | | | - Thanos Karatzias
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, Scotland, EH11 4BN
| | - Carmen Valiente
- Department of Psychology, Complutense University of Madrid, 28040 Madrid, Spain
| | - Carmelo Vazquez
- Department of Psychology, Complutense University of Madrid, 28040 Madrid, Spain
| | - Alba Contreras
- Department of Psychology Université Catholique de Louvain, 1348 Ottignies-Louvain-la-Neuve, Belgium
| | - Marco Bertamini
- Department of Psychology, University of Liverpool, Liverpool, England, L69 3BX
- Department of Psychology, University of Padua, 35122 Padova, Italy
| | - Anna Panzeri
- School of Psychology, Ulster University, Coleraine, Northern Ireland, BT52 1SA
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
| | - Giovanni Bruno
- Department of Psychology, University of Padua, 35122 Padova, Italy
| | - Richard P. Bentall
- Department of Psychology, University of Sheffield, Sheffield, England, S10 2TN
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