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

The network structure of psychopathological and resilient responses to the pandemic: A multicountry general population study of depression and anxiety

Commonly identified patterns of psychological distress in response to adverse events are characterized by resilience (i.e., little to no distress), delayed (i.e., distress that increases over time), recovery (i.e., distress followed by a gradual decrease over time), and sustained (i.e., distress remaining stable over time). This study aimed to examine these response patterns during the COVID-19 pandemic. Anxiety and depressive symptom data collected across four European countries over the first year of the pandemic were analyzed (N = 3,594). Participants were first categorized into groups based on the four described patterns. Network connectivity and symptom clustering were then estimated for each group and compared. Two thirds (63.6%) of the sample displayed a resilience pattern. The sustained distress network (16.3%) showed higher connectivity than the recovery network (10.0%) group, p = .031; however, the resilient network showed higher connectivity than the delayed network (10.1%) group, p = .016. Regarding symptom clustering, more clusters emerged in the recovery network (i.e., three) than the sustained network (i.e., two). These results replicate findings that resilience was the most common mental health pattern over the first pandemic year. Moreover, they suggest that high network connectivity may be indicative of a stable mental health response over time, whereas fewer clusters may be indicative of a sustained distress pattern. Although exploratory, the network perspective provides a useful tool for examining the complexity of psychological responses to adverse events and, if replicated, could be useful in identifying indicators of protection against or vulnerability to future psychological distress.

Testing the latent structure of ICD-11 prolonged grief disorder symptoms in the U.K. adult population: An exploratory structural equation modeling approach

The latent structure of ICD-11 prolonged grief disorder (PGD), as measured using the International Prolonged Grief Disorder Scale (IPGDS), was assessed in a large general population sample of bereaved adults from the United Kingdom. Data were derived from Wave 5 of the COVID-19 Psychological Research Consortium Study (C19PRC-UK). Exploratory structural equation modeling (ESEM) was used to assess the latent structure of the IPGDS. Identified factors were explored in relation to known correlates (i.e., gender, age of the bereaved, income, bereavement timeframe, age of the deceased) and functional impairment. Three factors-Loss, Emotional Numbing, and Emotional Reactivity-emerged in the best-fitting ESEM model, χ2 (92, N = 1,763) = 273.70, p < .001, CFI = .97, TLI = .96, RMSEA = .048, SRMR = .020. All factors were significantly associated with bereavement timeframe, βs = -.15--.20, and age of the deceased, βs = -.22--.31. Lower income predicted both Loss and Emotional Numbing; younger age of the bereaved predicted both Loss and Emotional Reactivity; and female gender was a unique predictor of Loss. Functional impairment was associated only with Emotional Numbing, β = .89. The findings highlight the multidimensional structure of PGD. However, the patterns of factor/cross-factor loadings observed in the present study indicate that a "simple" structure was not attainable. Associations between factors and covariates attest to the discriminant validity of the factors, and the association between Emotional Numbing and functional impairment may afford clinicians an opportunity to better understand and target the most disruptive features of grief.

Symptoms and levels of ICD-11 Prolonged Grief Disorder in a representative community sample of UK adults

BACKGROUND

Prolonged Grief Disorder (PGD) is a new disorder included in ICD-11 (WHO, 2018). There is a growing body of literature surrounding the prevalence and correlates of ICD-11 PGD symptoms as assessed using various measures. This study was the first to assess levels of ICD-11 PGD symptoms as measured by the International Prolonged Grief Disorder Scale (IPGDS), a self-report scale directly aligned with the ICD-11 definition of PGD, among the United Kingdom adult general population, and identify correlates.

METHOD

Participants included 2025 adults who participated in Wave 5 of the COVID-19 Psychological Research Consortium Study (C19PRC-UK). Prevalence rates of PGD were estimated based on two commonly used algorithms defined as 'strict' and 'moderate'. Sociodemographic, loss-related, and mental health correlates (i.e., anxiety, depression, mental health treatment seeking, loneliness) of strict and moderate PGD were then examined using multinomial logistic regressions.

RESULTS

It was found that 2.4% (n = 43) of participants met probable caseness for PGD using the strict criteria while 7.9% (n = 140) met probable caseness for PGD using the moderate criteria. Multinomial logistic regression analysis results showed, as predicted, that income, time since bereavement, death of a child, religiosity, and depression were associated with both moderate and strict PGD. Correlates of moderate PGD included country of residence, urbanicity, younger age of bereaved, and loneliness.

CONCLUSIONS

This study highlights that some symptoms of PGD are commonly reported in the general population, although relatively few meet the criteria for clinical significance. The routine assessment for PGD following a bereavement is discussed and the development of appropriate interventions are recommended.

Development and initial validation of a short form of the Memories of Home and Family Scale

The Memories of Home and Family Scale (MHFS; Shevlin et al., 2022) was developed as a multidimensional measure of subjective memories of experiences at home and with family during childhood. Due to the length of the scale, a short version of the MHFS (MHFS-SF) has been developed. Data were from Wave 7 of the COVID-19 Psychological Research Consortium Study (C19PRC-UK), a population based UK survey (N = 1405). Two items with the highest factor loadings from each of the six dimensions of the original MHFS were selected for inclusion. Confirmatory factor analytic (CFA) models were estimated to test the dimensionality of the scale. Convergent and discriminant validity were tested by examining associations with criterion variables. CFA results supported the multidimensionality of the scale. MHFS-SF total and sub-scale scores were negatively correlated with measures of depression, anxiety, loneliness, and paranoia, and were positively correlated with wellbeing. Regression analyses revealed that MHFS-SF total and sub-scale scores significantly predicted loneliness, paranoia, and wellbeing, even after accounting for age, gender, and current internalising symptoms. Results from this study suggest that the MHFS-SF scores retain the excellent psychometric properties of the original scale while improving efficiency. The MHFS-SF demonstrated high levels of convergent and discriminant validity with mental health and wellbeing measures. Future research should seek to validate the MHFS-SF in different populations and assess its usefulness in clinical settings.

Supplementary Information

The online version contains supplementary material available at 10.1007/s42844-023-00097-x.

The role of the COVID-19 impersonal threat strengthening the associations of right-wing attitudes, nationalism and anti-immigrant sentiments

Literature showed that the link between right-wing attitudes and ethnocentric attitudes gets stronger under existential threats, but the role exerted by an impersonal threat - as COVID-19 - on right-wing attitudes is still unclear. This study aimed to highlight the role of anxiety exerted by the impersonal COVID-19 threat on the relationship between right-wing attitudes and ethnocentric attitudes, as nationalism and anti-immigrants' sentiments. As part of an international project to evaluate the impact of COVID-19, this study administered an online survey to a representative sample (n 1038). The anxiety generated by an impersonal threat as COVID-19 - thus not exerted by any outgroup - can moderate the relationship among personal Right-Wing Authoritarianism, social dominance orientation, and ethnocentric attitudes. This is the first study demonstrating that existential threat is effective also when exerted by an impersonal agent (as COVID-19) rather than by an outgroup. Second, these findings disclose useful implications for preventive psychological interventions and for social policy makers.

Supplementary information

The online version contains supplementary material available at 10.1007/s12144-023-04305-w.

A gateway conspiracy? Belief in COVID-19 conspiracy theories prospectively predicts greater conspiracist ideation

A primary focus of research on conspiracy theories has been understanding the psychological characteristics that predict people's level of conspiracist ideation. However, the dynamics of conspiracist ideation-i.e., how such tendencies change over time-are not well understood. To help fill this gap in the literature, we used data from two longitudinal studies (Study 1 N = 107; Study 2 N = 1,037) conducted during the COVID-19 pandemic. We find that greater belief in COVID-19 conspiracy theories at baseline predicts both greater endorsement of a novel real-world conspiracy theory involving voter fraud in the 2020 American Presidential election (Study 1) and increases in generic conspiracist ideation over a period of several months (Studies 1 and 2). Thus, engaging with real-world conspiracy theories appears to act as a gateway, leading to more general increases in conspiracist ideation. Beyond enhancing our knowledge of conspiracist ideation, this work highlights the importance of fighting the spread of conspiracy theories.

An 18-month follow-up of the Covid-19 psychology research consortium study panel: Survey design and fieldwork procedures for Wave 6

OBJECTIVES

Established in March 2020, the C19PRC Study monitors the psychological and socio-economic impact of the pandemic in the UK and other countries. This paper describes the protocol for Wave 6 (August-September 2021).

METHODS

The survey assessed: COVID-19 related experiences; experiences of common mental health disorders; psychological characteristics; and social and political attitudes. Adult participants from any previous wave (N = 3170) were re-invited, and sample replenishment procedures helped manage attrition. Weights were calculated using a survey raking algorithm to ensure the on-going original panel (from baseline) was nationally representative in terms of gender, age, and household income, amongst other factors.

RESULTS

1643 adults were re-interviewed at Wave 6 (51.8% retention rate). Non-participation was higher younger adults, those born outside UK, and adults living in cities. Of the adults recruited at baseline, 54.3% (N = 1100) participated in Wave 6. New respondent (N = 415) entered the panel at this wave, resulting in cross-sectional sample for Wave 6 of 2058 adults. The raking procedure re-balanced the longitudinal panel to within 1.3% of population estimates for selected socio-demographic characteristics.

CONCLUSIONS

This paper outlines the growing strength of the publicly available C19PRC Study data for COVID-19-related interdisciplinary research.

Perceived manageability of debt and mental health during the COVID-19 pandemic: A UK population analysis

Objectives

This study examined the association between perceived manageability of debt and risk of depression, anxiety, and mental health help-seeking among a nationally representative sample of adults living in the United Kingdom (UK).

Methods

Data was derived from the COVID-19 Psychological Research Consortium (C19PRC) Study Wave 6 (August/September 2021) which examined the psychological, social, and economic effects of the COVID-19 pandemic on the UK adult population. Bivariate and logistic regression analyses were conducted to determine the association between different levels of perceived debt manageability (i.e., “easily manageable”, “some problems”, “quite serious problems”, “very serious problems”, “cannot manage at all”) and mental health related outcomes.

Results

Almost a quarter of the sample (24%, n = 494) reported debt management problems, and debt manageability associated with higher levels of anxiety, depression, and mental health help-seeking. After adjusting for demographic variables (e.g. income, receipt of benefits), logistic regression analysis demonstrated a dose-response association between increasing levels of debt manageability problems and mental health outcomes. Specifically, adjusted odds ratios for anxiety ranged from 2.28 (‘some problems’) to 11.18 (‘very serious problems’), for depression ranged from 2.80 (‘some problems’) to 16.21 (‘cannot manage at all’), and for mental health help-seeking ranged from 1.69 (‘some problems’) to 3.18 (‘quite serious problems’, ‘very serious problems’).

Conclusion

This study highlights that debt manageability problems represent a robust predictor of depression, anxiety, and mental-health help seeking.