Tracking the psychological and socio-economic impact of the COVID-19 pandemic in the UK: a methodological report from Wave 5 of the Covid-19 Psychological Research Consortium (C19PRC) Study

2021 ◽  
Author(s):  
Orla McBride ◽  
Sarah Butter ◽  
Jamie Murphy ◽  
Todd K. Hartman ◽  
Ryan McKay ◽  
...  

Objectives: This paper describes fieldwork procedures for the fifth wave of the COVID-19 Psychological Research Consortium (C19PRC) Study, conducted during March-April 2021. The C19PRC Study was established in March 2020 to monitor the psychological and socio-economic impact of the COVID-19 pandemic in the UK and other countries. Methods: The survey wave assessed: COVID-19 related experiences; the occurrence of common mental health disorders; psychological factors; and social and political attitudes – to facilitate statistical analyses to determine how these constructs on influenced the public’s response to the pandemic. Adults who participated in any previous survey wave (N=4949) were re-contacted and invited to participate. Weights were calculated using a survey raking algorithm to ensure that the longitudinal panel was nationally representative in terms of gender, age, and household income, amongst other factors. Results: Overall, 2520 adults participated in this wave. A total of 2377 adults who participated in the previous survey wave (i.e., Wave 4 of the C19PRC Study, conducted November-December 2020) were successfully recontacted and provided full interviews at Wave 5 (61.5% retention rate). Attrition between these two waves was predicted by factors such as younger age, lower household income, having children living in the household, and current or past experiences of treatment for mental health difficulties. Of the adults recruited into the C19PRC study at baseline, 57.4% (N=1162) participated in the fifth wave. The raking procedure successfully re-balanced the longitudinal panel to within 1.5% of population estimates for selected socio-demographic characteristics. Conclusion: This paper outlines the growing strength of the publicly available C19PRC Study data to facilitate and stimulate interdisciplinary research aimed at addressing important public health questions relating to the COVID-19 pandemic.

2020 ◽  
Author(s):  
Orla McBride ◽  
Jamie Murphy ◽  
Mark Shevlin ◽  
Jilly Gibson Miller ◽  
Todd K. Hartman ◽  
...  

The C19PRC Study aims to assess the psychological, social, and economic impact of the COVID-19 pandemic in the UK, Republic of Ireland, and Spain. This paper describes the the first two waves of the UK survey (the ‘parent’ strand of the Consortium) during March-April 2020. A longitudinal, internet panel survey assessed: (1) COVID-19 related knowledge, attitudes, and behaviours; (2) the occurrence of common mental health disorders (e.g. anxiety, depression); as well as the role of (3) psychological factors (e.g. personality, locus of control, resilience) and (4) social and political attitudes (e.g. authoritarianism, social dominance), in influencing the public’s response to the pandemic. Quota sampling was used to recruit a nationally representative (in terms of age, sex, and household income) sample of adults (N=2025), 1406 of whom were followed-up one month later (69.4% retention rate). The baseline sample was representative of the UK population in terms of economic activity, ethnicity, and household composition. Attrition was predicted by key socio-demographic characteristics, and an inverse probability weighting procedure was employed to ensure the follow-up sample was representative of the baseline sample. C19PRC Study data has strong generalisability to facilitate and stimulate interdisciplinary research on important public health questions relating to the COVID-19 pandemic.


2020 ◽  
Author(s):  
Orla McBride ◽  
Sarah Butter ◽  
Jamie Murphy ◽  
Mark Shevlin ◽  
Todd K. Hartman ◽  
...  

Objectives: The COVID-19 Psychological Research Consortium (C19PRC) Study aims to assess the impact of the COVID-19 pandemic in the adult population in multiple countries. This paper describes the execution of the third wave of the UK survey (the ‘parent’ strand of the Consortium) during July-August 2020. Methods: Adults (N=2025) who previously participated in the baseline and/or the first follow-up surveys were reinvited to participate in this survey, which assessed: (1) COVID-19 related knowledge, attitudes, and behaviours; (2) the occurrence of common mental health disorders; as well as the role of (3) psychological factors and (4) social and political attitudes, in influencing the public’s response to the pandemic. Weights were calculated using a survey raking algorithm to ensure that the cross-sectional sample is nationally representative in terms of gender, age, household income, household composition, and urbanicity. Results: 1166 adults (57.6% of baseline participants) were successfully recontacted and provided full interviews at Wave 3. As expected, the raking procedure successfully re-balanced the cross-sectional sample to within 1% of population estimates across the selected socio-demographic characteristics. Conclusion: This paper outlines the growing strength of the C19PRC Study data to facilitate and stimulate interdisciplinary research addressing important public health questions relating to the COVID-19 pandemic.


2021 ◽  
Author(s):  
Mark Shevlin ◽  
Sarah Butter ◽  
Orla McBride ◽  
Jamie Murphy ◽  
Jilly Gibson Miller ◽  
...  

Shevlin et al. (2021) recently demonstrated heterogeneity in mental health and psychological responses to the COVID-19 pandemic over time from a nationally representative sample of UK adults (March–July 2020). Five subpopulations representing either stability, deterioration or improvement in both anxiety-depression and COVID-19 PTSD were identified. The majority of the sample were characterised by low levels of anxiety-depression (56.6%) and COVID-19 traumatic stress (68.3%) during this early phase of the pandemic but some showed deterioration and some showed mental health benefits. Here we extend these findings using two additional survey waves from the C19PRC Study, thereby modelling mental health trajectories for the UK population within the entire first year of the pandemic.


2018 ◽  
Vol 64 (6) ◽  
pp. 589-596 ◽  
Author(s):  
BS Chavan ◽  
Subhash Das ◽  
Rohit Garg ◽  
Sonia Puri ◽  
Aravind BA Banavaram

Background: Mental illness results in a plethora of distressing issues, has tremendous socio-economic impact and causes socio-occupational dysfunction in the individual as well as the caregivers. There is a felt need to explore the disability caused by mental illness and the associated socio-economic impact at the population level in a developing nation like India. Aims: To elucidate the disability and socio-economic impact associated with mental illness at the individual and household levels for the state of Punjab in India. Method: This was a multisite cross-sectional study carried out during 2015–2016 (as a part of the National Mental Health Survey of India) in three districts and one urban metro area of Punjab. The sample was selected using multi-stage, stratified, random cluster sampling technique, with random selection based on Probability Proportionate to Size (PPS) at different stages. A validated set of questions was used to assess the socio-economic impact of mental illness and the Sheehan Disability Scale was used to document self-perceived disability among individuals with mental morbidity. Median (IQR) and proportions were used to summarize quantitative and qualitative data, respectively Results: Subjects with any mental morbidity reported disability of varying severities across different domains of life; family life was affected the most (70.1%). One in every six persons reported that their mental illness interfered with their daily activities to a large extent. Economic burden was high and a typical family would spend about INR 1500/month (US$23) towards the treatment of its member with mental morbidity. Family members had to forego their work for at least 7 days in 3 months to take care of their relative with mental illness. Conclusion: Mental illness causes disability in the individual and has tremendous socio-economic impact on the family, incapacitating a family’s productivity to a large extent and thus affecting the society.


2021 ◽  
Vol 6 ◽  
pp. 176
Author(s):  
Chloe Fawns-Ritchie ◽  
Drew M. Altschul ◽  
Archie Campbell ◽  
Charlotte Huggins ◽  
Clifford Nangle ◽  
...  

CovidLife is a longitudinal observational study designed to investigate the impact of the COVID-19 pandemic on mental health, well-being and behaviour in adults living in the UK. In total, 18,518 participants (mean age = 56.43, SD = 14.35) completed the first CovidLife questionnaire (CovidLife1) between April and June 2020. To date, participants have completed two follow-up assessments. CovidLife2 took place between July and August 2020 (n = 11,319), and CovidLife3 took place in February 2021 (n = 10,386). A range of social and psychological measures were administered at each wave including assessments of anxiety, depression, well-being, loneliness and isolation. Information on sociodemographic, health, and economic circumstances was also collected. Questions also assessed information on COVID-19 infections and symptoms, compliance to COVID-19 restrictions, and opinions on the UK and Scottish Governments’ handling of the pandemic. CovidLife includes a subsample of 4,847 participants from the Generation Scotland cohort (N~24,000, collected 2006-2011); a well-characterised cohort of families in Scotland with pre-pandemic data on mental health, physical health, lifestyle, and socioeconomic factors, along with biochemical and genomic data derived from biological samples. These participants also consented to their study data being linked to Scottish health records. CovidLife and Generation Scotland data can be accessed and used by external researchers following approval from the Generation Scotland Access Committee. CovidLife can be used to investigate mental health, well-being and behaviour during COVID-19; how these vary according to sociodemographic, health and economic circumstances; and how these change over time. The Generation Scotland subsample with pre-pandemic data and linkage to health records can be used to investigate the predictors of health and well-being during COVID-19 and the future health consequences of the COVID-19 pandemic.


2021 ◽  
Author(s):  
Orla McBride ◽  
Sarah Butter ◽  
Todd K. Hartman ◽  
Jamie Murphy ◽  
Philip Hyland ◽  
...  

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 unprecedent 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.


2021 ◽  
Author(s):  
Orla McBride ◽  
Sarah Butter ◽  
Jamie Murphy ◽  
Mark Shevlin ◽  
Todd K. Hartman ◽  
...  

Objectives: The COVID-19 Psychological Research Consortium (C19PRC) Study aims to assess the impact of the COVID-19 pandemic on the adult population in multiple countries. This paper describes the design and execution of the fourth wave of the UK survey (the ‘parent’ strand of the Consortium) during November-December 2020. Methods: This survey prioritised the collection of data pertaining to respondents’ socio-political attitudes, beliefs, and behaviours, as well as core mental health outcomes (anxiety, depression, and traumatic stress). In Phase 1, adults (n=2878) were reinvited to participate in this wave. A new recruitment strand (Phase 2) oversampled respondents from Wales, Scotland, and Northern Ireland to facilitate robust between-country analyses for core study outcomes. Weights were calculated using a survey raking algorithm to ensure that the cross-sectional sample is representative of the baseline sample characteristics (gender, age, household income, household composition, ethnicity, urbanicity, and born/raised in UK). Results: In Phase 1, 1796 adults were successfully recontacted and provided full interviews at Wave 4 (62.4% retention rate). Phase 2 recruitment achieved a robust sample of 1779 respondents from Wales, Scotland, and Northern Ireland, who were largely representative of the socio-demographic and political characteristics of the adult populations in these nations. The raking procedure successfully re-balanced the cross-sectional sample to within 1% of population estimates across selected socio-demographic characteristics. Conclusion: This paper outlines the growing strength of the C19PRC Study data to facilitate and stimulate interdisciplinary research addressing important public health questions relating to the COVID-19 pandemic.


2021 ◽  
Author(s):  
Mark Shevlin ◽  
Sarah Butter ◽  
Orla McBride ◽  
Jamie Murphy ◽  
Jilly Gibson Miller ◽  
...  

Background: The current study argues that population prevalence estimates for mental health disorders, or changes in mean scores over time, may not adequately reflect the heterogeneity in mental health response to the COVID-19 pandemic within the population.Methods: The COVID-19 Psychological Research Consortium (C19PRC) Study is a longitudinal, nationally representative, online survey of UK adults. The current study analysed data from its first three waves of data collection: Wave 1 (March 2020, N=2025), Wave 2 (April 2020, N=1406) and Wave 3 (July 2020, N=1166). Anxiety-depression was measured using the Patient Health Questionnaire Anxiety and Depression Scale (a composite measure of the PHQ-9 and GAD-7) and COVID-19 related PTSD with the International Trauma Questionnaire. Changes in mental health outcomes were modelled across the three waves. Latent class growth analysis was used to identify subgroups of individuals with different trajectories of change in anxiety-depression and COVID-19 PTSD. Latent class membership was regressed on baseline characteristics.Results: Overall prevalence of anxiety-depression remained stable, while COVID-19 PTSD reduced between Waves 2 and 3. Heterogeneity in mental health response was found, and hypothesised classes reflecting (i) stability, (ii) improvement, and (iii) deterioration in mental health were identified. Psychological factors were most likely to differentiate the improving, deteriorating and high-stable classes from the low-stable mental health trajectories. Conclusions: A low-stable profile characterised by little-to-no psychological distress (‘resilient’ class) was the most common trajectory for both anxiety-depression and COVID-19 PTSD. Monitoring these trajectories is necessary moving forward, in particular for the ~30% of individuals with increasing anxiety-depression levels.


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