Arts, Culture & the Brain: A literature review and new epidemiological analyses

In this report, we provide an overview of the current evidence on the associations between arts and cultural engagement and the brain, and we also add to this evidence, conducting our own new analyses of cohort data

Health behaviours the month prior to COVID-19 infection and the development of self-reported long COVID and specific long COVID symptoms: a longitudinal analysis of 1581 UK adults

BACKGROUND: Demographic and infection-related characteristics have been identified as risk factors for long COVID, but research on the influence of health behaviours (e.g., exercise, smoking) immediately preceding the index infection is lacking. The aim of this study was to examine whether specific health behaviours in the month preceding infection with COVID-19 act as upstream risk factors for long COVID as well as well as three specific long COVID symptoms. METHODS: One thousand five hundred eighty-one UK adults from the UCL COVID-19 Social Study and who had previously been infected with COVID-19 were analysed. Health behaviours in the month before infection were weekly exercise frequency, days of fresh air per week, sleep quality, smoking, consuming more than the number of recommended alcoholic drinks per week (> 14), and the number of mental health care behaviours (e.g., online mental health programme). Logistic regressions controlling for covariates (e.g., COVID-19 infection severity, socio-demographics, and pre-existing health conditions) examined the impact of health behaviours on long COVID and three long COVID symptoms (difficulty with mobility, cognition, and self-care). RESULTS: In the month before infection with COVID-19, poor quality sleep increased the odds of long COVID (odds ratio [OR]: 3.53; (95% confidence interval [CI]: 2.01 to 6.21), as did average quality sleep (OR: 2.44; 95% CI: 1.44 to 4.12). Having smoked (OR: 8.39; 95% CI: 1.86 to 37.91) increased and meeting recommended weekly physical activity guidelines (3h hours) (OR: 0.05; 95% CI: 0.01 to 0.39) reduced the likelihood of difficulty with self-care (e.g., washing all over or dressing) amongst those with long COVID. CONCLUSIONS: Results point to the importance of sleep quality for long COVID, potentially helping to explain previously demonstrated links between stress and long COVID. Results also suggest that exercise and smoking may be modifiable risk factors for preventing the development of difficulty with self-care

How does the process of group singing impact on people affected by cancer? A grounded theory study

OBJECTIVE: This study aimed to build an understanding of how the process of singing impacts on those who are affected by cancer, including patients, staff, carers and those who have been bereaved. DESIGN: A qualitative study, informed by a grounded theory approach. SETTING AND PARTICIPANTS: Patients with cancer, staff, carers and bereaved who had participated for a minimum of 6 weeks in one of two choirs for people affected by cancer. METHODS: 31 participants took part in Focus Group Interviews lasting between 45 min and an hour, and 1 participant had a face-to-face interview. FINDINGS: Four overarching themes emerged from the iterative analysis procedure. The overarching themes were: building resilience, social support, psychological dimensions and process issues. Following further analyses, a theoretical model was created to depict how building resilience underpins the findings. CONCLUSION: Group singing may be a suitable intervention for building resilience in those affected by cancer via an interaction between the experience and impact of the choir

Racial discrimination, low trust in the health system and COVID-19 vaccine uptake: a longitudinal observational study of 633 UK adults from ethnic minority groups

OBJECTIVES: To examine whether racial/ethnic discrimination predicts future COVID-19 vaccine refusal, and whether this association is explained by trust in government and the health system. DESIGN: Longitudinal observational study of racial/ethnic discrimination occurring since the start of the first lockdown (measured in July 2020) and later COVID-19 vaccine status. SETTING: UK (England, Scotland, Wales and Northern Ireland). PARTICIPANTS: A total of 633 adults belonging to ethnic minority groups who took part in the UCL COVID-19 Social Study. MAIN OUTCOME MEASURES: COVID-19 vaccine refusal (vs. accepted/waiting/had at least one dose) between 23 December 2020 and 14 June 2021. RESULTS: Nearly 1 in 10 (6.69%) who had refused a COVID-19 vaccine had experienced racial/ethnic discrimination in a medical setting since the start of the pandemic and had experienced twice as many incidents of racial/ethnic discrimination than those who had accepted the vaccine. Structural equation modelling results indicated a nearly four fold (odds ratio = 3.91, 95% confidence interval = 1.40 to 10.92) total effect of racial/ethnic discrimination on refusing the vaccine which was mediated by low trust in the health system to handle the pandemic (odds ratio = 2.49, 95% confidence interval = 1.12 to 5.39). Analyses adjusted for a range of demographic and COVID-19 related factors. CONCLUSIONS: Findings underscore the importance of addressing racial/ethnic discrimination and the role the National Health Service in regaining trust from ethnic minority groups to increase COVID-19 vaccine uptake among ethnic minority adults

Depressive and anxiety symptoms in adults during the COVID-19 pandemic in England: A panel data analysis over 2 years

BACKGROUND: There has been much research into the mental health impact of the Coronavirus Disease 2019 (COVID-19) pandemic and how it is related to time-invariant individual characteristics. However, there is still a lack of research showing long-term trajectories of mental health across different stages of the pandemic. And little is known regarding the longitudinal association of time-varying factors with mental health outcomes. This study aimed to provide a longitudinal profile of how mental health in adults changed across different stages of the COVID-19 pandemic and to examine their longitudinal associations with time-varying contextual (e.g., COVID-19 policy response and pandemic intensity) and individual level factors. METHODS AND FINDINGS: This study used data from a large panel study of over 57,000 adults living in England, who were followed up regularly for 2 years between March 2020 and April 2022. Mental health outcomes were depressive and anxiety symptoms. Depressive symptoms were assessed by the Patient Health Questionnaire (PHQ-9) and anxiety symptoms by the Generalized Anxiety Disorder assessment (GAD-7). Entropy balancing weights were applied to restore sample representativeness. After weighting, approximately 50% of participants were female, 14% from ethnic minority backgrounds, with a mean age of 48 years. Descriptive analyses showed that mental health changes were largely in line with changes in COVID-19 policy response and pandemic intensity. Further, data were analysed using fixed-effects (FE) models, which controlled for all time-invariant confounders (observed or not). FE models were fitted separately across 3 stages of the COVID-19 pandemic, including the first national lockdown (21/03/2020-23/08/2020), second and third national lockdowns (21/09/2020-11/04/2021), and "freedom" period (12/04/2021-14/11/2021). We found that more stringent policy response (measured by stringency index) was associated with increased depressive symptoms, in particular, during lockdown periods (β = 0.23, 95% confidence interval (CI) = [0.18 to 0.28], p < 0.001; β = 0.30, 95% CI = [0.21 to 0.39], p < 0.001; β = 0.04, 95% CI = [-0.03 to 0.12], p = 0.262). Higher COVID-19 deaths were also associated with increased depressive symptoms, but this association weakened over time (β = 0.29, 95% CI = [0.25 to 0.32], p < 0.001; β = 0.09, 95% CI = [0.05 to 0.13], p < 0.001; β = -0.06, 95% CI = [-0.30 to 0.19], p = 0.655). Similar results were also found for anxiety symptoms, for example, stringency index (β = 0.17, 95% CI = [0.12 to 0.21], p < 0.001; β = 0.13, 95% CI = [0.06 to 0.21], p = 0.001; β = 0.10, 95% CI = [0.03 to 0.17], p = 0.005), COVID-19 deaths (β = 0.07, 95% CI = [0.04 to 0.10], p < 0.001; β = 0.04, 95% CI = [0.00 to 0.07], p = 0.03; β = 0.16, 95% CI = [-0.08 to 0.39], p = 0.192). Finally, there was also evidence for the longitudinal association of mental health with individual level factors, including confidence in government/healthcare/essentials, COVID-19 knowledge, COVID-19 stress, COVID-19 infection, and social support. However, it is worth noting that the magnitudes of these longitudinal associations were generally small. The main limitation of the study was its non-probability sample design. CONCLUSIONS: Our results provided empirical evidence on how changes in contextual and individual level factors were related to changes in depressive and anxiety symptoms. While some factors (e.g., confidence in healthcare, social support) clearly acted as consistent predictors of depressive and/or anxiety symptoms, other factors (e.g., stringency index, COVID-19 knowledge) were dependent on the specific situations occurring within society. This could provide important implications for policy making and for a better understanding of mental health of the general public during a national or global health crisis

What are the active ingredients of ‘arts in health’ activities? Development of the INgredients iN ArTs in hEalth (INNATE) framework

Background: There is a scarcity of research concerning what it is about arts engagement that may activate causal mechanisms leading to effects on health and wellbeing: their active ingredients. Further, the limited studies that do exist have tended to be relevant to specific contexts and types of art forms. The aim of this study was to carry out a comprehensive mapping of potential active ingredients, construct a shared language, and propose a framework and toolkit to support the design, implementation, and evaluation of arts in health activities. Methods: Drawing upon Rapid Appraisal techniques and collaborating with 64 participants working in arts in health, we engaged in a three-phase process: 1) scoping review to inform the development of an initial framework; 2) consultation on the initial framework; and 3) analysis and construction of the INNATE framework. Results: The study identified 139 potential active ingredients within the overarching categories of  project, people, and  contexts.  Project components relate directly to the content of the arts activity itself, intrinsic to what the activity is. The  people category denotes how people interact through engagement with the activity and who is involved in this interaction, including activity facilitation.  Contexts relates to the activity setting comprising the aggregate of place(s), things, and surroundings. Aligning with complexity science, ingredients may interconnect or feed into one another to prompt mechanisms, and may not be experienced as distinct by participants. Conclusions: Our mapping exercise is the most extensive to date. In relation to arts in health activities, the INNATE framework can support with: design and implementation, such as co-producing an intervention to meet the needs of a particular population; evaluation, such as facilitating the comparison of different interventions and their efficacy; and replication, scalability, and sustainability through enabling detailed reporting and articulation of what an arts in health activity entails

Psychological consequences of long COVID: comparing trajectories of depressive and anxiety symptoms before and after contracting SARS-CoV-2 between matched long- and short-COVID groups

BACKGROUND: There is a growing global awareness of the psychological consequences of long COVID, supported by emerging empirical evidence. However, the emergence and long-term trajectories of psychological symptoms following the infection are still unclear. AIMS: To examine when psychological symptoms first emerge following infection with SARS-CoV-2 and the long-term trajectories of psychological symptoms comparing long- and short-COVID groups. METHOD: We analysed longitudinal data from the UCL COVID-19 Social Study (March 2020 to November 2021). We included data from adults living in England who reported contracting SARS-CoV-2 by November 2021 (n = 3115). Of these, 15.9% reported having had long COVID (n = 495). They were matched to participants who had short COVID using propensity score matching on a variety of demographic, socioeconomic and health covariates (n = 962 individuals with 13 325 observations) and data were further analysed using growth curve modelling. RESULTS: Depressive and anxiety symptoms increased immediately following the onset of infection in both long- and short-COVID groups. But the long-COVID group had substantially greater initial increases in depressive symptoms and heightened levels over 22 months follow-up. Initial increases in anxiety were not significantly different between groups, but only the short-COVID group experienced an improvement in anxiety over follow-up, leading to widening differences between groups. CONCLUSIONS: The findings support work on the psychobiological pathways involved in the development of psychological symptoms relating to long COVID. The results highlight the need for monitoring of mental health and provision of adequate support to be interwoven with diagnosis and treatment of the physical consequences of long COVID

Trajectories of Compliance With COVID-19 Related Guidelines: Longitudinal Analyses of 50,000 UK Adults

BACKGROUND: Governments have implemented a range of measures focused on changing citizens' behaviors to lower the transmission of COVID-19. While international data shows that compliance did decline from the start of the pandemic, average trends could mask considerable heterogeneity in compliance behaviors. PURPOSE: To explore trajectories of compliance with COVID-19 guidelines. METHODS: We used longitudinal data on self-reported compliance from 50,851 adults in the COVID-19 Social Study collected across two waves of the pandemic in the UK (April 01, 2020-February 22, 2021). We modeled typical compliance trajectories using latent class growth analysis (LCGA) and used multinomial logistic regression to examine whether individual personality and demographic characteristics were related to compliance trajectories. RESULTS: We selected a four-class LCGA solution. Most individuals maintained high levels of compliance and reported similar levels of compliance across the first and second waves. Approximately 15% of participants had decreasing levels of compliance across the pandemic, reporting noticeably lower levels of compliance in the second wave. Individuals with declining compliance levels were younger on average, in better physical health, had lower empathy and conscientiousness and greater general willingness to take risks. CONCLUSIONS: While a minority, not all individuals have maintained high compliance across the pandemic. Decreasing compliance is related to several psychological traits. The results suggest that targeting of behavior change messages later in the pandemic may be needed to increase compliance

Community and cultural engagement for people with lived experience of mental health conditions: what are the barriers and enablers?

Background: Community and cultural engagement can support recovery, help symptom management and increase social connections for people with lived experience of mental health conditions. However, research suggests that people with mental health conditions experience significant barriers to participation. The aim of this study was to explore barriers and enablers of participation in community and cultural activities among people with mental health conditions. Methods: A qualitative interview study with 23 people with mild-to-moderate mental health conditions was undertaken. Data were analysed thematically, and themes were mapped to domains of the Capability, Opportunity and Motivation Model of Behaviour (COM-B). Results: Eleven themes were identified from the analysis. Three themes involved participant Capability: physical skills, psychological traits and physical health limitations and three themes related to Opportunity: affordability and accessibility, structure and nature of the group, and support from others to attend. Five themes mapped to Motivation: creative identity, recovery and coping, enjoyment and fun, connecting with others, and information and planning. Participants were motivated to engage with community and cultural activities through “a creative identity”, belief that engagement would help recovery from mental illness, and a desire to connect with others and make friends. Motivation to participate was sustained by the enjoyable nature of activities. However, participants’ ability to engage was hampered by the expense, inaccessibility and sometimes unstructured nature of activities, and social anxiety associated with attending. Some participants had physical limitations such as fatigue or physical health problems to overcome. Interventions that could address these barriers include peer support, training for social prescribers to account for identity and previous experiences of participation, training for community organisations in providing a welcoming and structured environment, and provision of long-term sustainable funding to community organisations to subsidise attendance, transport or equipment costs. Conclusion: People with mental health conditions may be at risk of experiencing barriers to community and cultural engagement due to existing social inequalities and social anxiety, however believing that involvement will support mental health was an enabler to participation. Future studies are needed to test the effectiveness of potential interventions to address the barriers and harness the facilitators identified here, to enable a more socially inclusive community and voluntary sector, and a potentially more responsive and effective social prescribing service in the UK for people experiencing mental health problems

Comparisons of home-based arts engagement across three national lockdowns during the COVID-19 pandemic in England

Between March 2020 and March 2021, the United Kingdom (UK) experienced three lockdowns due to the COVID-19 pandemic. Given the evident association between arts engagement and wellbeing, this study was designed to compare the predictors and patterns of home-based arts engagement during these lockdowns. Data analysed in this study were from the UK COVID-19 Social Study run by University College London. Multinomial logistic regression was used to identify predictors of arts engagement and compare (i) respondents’ engagement levels during the first lockdown in April/May 2020 and their levels in pre-pandemic times (N = 23,086), (ii) their engagement levels during the second lockdown in November/December 2020 with their levels during the first lockdown (N = 11,481), and (iii) their engagement levels during the third lockdown in January/February 2021 with their levels during the first lockdown (N = 13,270). During first lockdown, 1 in 4 increased their arts engagement and 1 in 6 decreased it. Of those who increased, 2 in 5 maintained or further increased their engagement in subsequent lockdowns, but just 7% of those who had decreased their engagement increased it. Younger adults (aged 18–29) showed initial increases in first lockdown, whilst people who were not employed and those with a physical health condition showed decreases and people with a mental health condition showed changes during the first lockdown (both increases and decreases). Females and people with higher education showed continuous changes across the three lockdowns, with women being more likely to increase their engagement and those with higher education being less likely to decrease. People of ethnic minorities and those with higher income declined their engagement in the third lockdown. This study provides insight into levels of arts engagement across the three national lockdowns in the UK and suggests that the pandemic may have affected long-term cultural behaviours for some groups