The association between resilience resources, contextual factors and mental health status: a national population-based study

Background

Although a range of risk factors have been linked with poor mental health across the population, the underlying pathways leading to mental ill health remain unclear. There is a need to investigate the effects and interplay of both protective and risk factors. This population-based study aimed to explore the effects of individual and contextual factors on mental health status. Record-linkage was implemented between health and lifestyle data drawn from HealthWise Wales (HWW), a national population health survey of people > 16 years who live or access their healthcare in Wales, and treatment data from primary healthcare records. Mental health status was assessed using three different measures, including the self-reported MHI-5 and WEMWBS scales and mental health treatment in electronic healthcare records (EHR).

Result

Using cross-sectional data from 27,869 HWW participants aged over 16 years, lifestyle factors, resilience, social cohesion and neighbourhood attraction were associated with mental health across all measures. However, compared to contextual factors, the cluster of individual factors was more closely associated with poor mental health, explaining more of the variance across all measures used (MHI-5: 9.8% versus 5.4%; WEMWBS: 15.9% versus 10.3%; EHR: 5.5% versus 3.0%). Additional analysis on resilience sub-constructs indicated that personal skills were the most closely correlated with poorer mental health.

Conclusion

Mental health status was more closely linked with individual factors across the population than contextual factors. Interventions focusing on improving individual resilience and coping skills could improve mental health outcomes and reduce the negative effect of contextual factors such as negative neighbourhood perceptions.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13013-2.

Cohort profile: The UK COVID-19 Public Experiences (COPE) prospective longitudinal mixed-methods study of health and well-being during the SARSCoV2 coronavirus pandemic

Public perceptions of pandemic viral threats and government policies can influence adherence to containment, delay, and mitigation policies such as physical distancing, hygienic practices, use of physical barriers, uptake of testing, contact tracing, and vaccination programs. The UK COVID-19 Public Experiences (COPE) study aims to identify determinants of health behaviour using the Capability, Opportunity, Motivation (COM-B) model using a longitudinal mixed-methods approach. Here, we provide a detailed description of the demographic and self-reported health characteristics of the COPE cohort at baseline assessment, an overview of data collected, and plans for follow-up of the cohort. The COPE baseline survey was completed by 11,113 UK adult residents (18+ years of age). Baseline data collection started on the 13th of March 2020 (10-days before the introduction of the first national COVID-19 lockdown in the UK) and finished on the 13th of April 2020. Participants were recruited via the HealthWise Wales (HWW) research registry and through social media snowballing and advertising (Facebook®, Twitter®, Instagram®). Participants were predominantly female (69%), over 50 years of age (68%), identified as white (98%), and were living with their partner (68%). A large proportion (67%) had a college/university level education, and half reported a pre-existing health condition (50%). Initial follow-up plans for the cohort included in-depth surveys at 3-months and 12-months after the first UK national lockdown to assess short and medium-term effects of the pandemic on health behaviour and subjective health and well-being. Additional consent will be sought from participants at follow-up for data linkage and surveys at 18 and 24-months after the initial UK national lockdown. A large non-random sample was recruited to the COPE cohort during the early stages of the COVID-19 pandemic, which will enable longitudinal analysis of the determinants of health behaviour and changes in subjective health and well-being over the course of the pandemic.

Public awareness in Wales of the UK Yellow Card scheme for reporting suspected adverse drug reactions

We used the HealthWise Wales (HWW) platform to explore public knowledge about the UK Yellow Card scheme (YCS), the spontaneous reporting scheme for suspected adverse drug reactions (ADRs) and whether a short information video could improve awareness. Members of the public in Wales (n = 1606) completed a questionnaire about the YCS, watched the information video and then completed a follow-up questionnaire. Almost half (46.5%) of respondents said they had previously experienced an ADR (>90% of the ADRs involving prescribed medicines). Before the video, 18% of respondents knew how to report an ADR via the YCS and of these, 34% were from allied-health professions. Immediately after watching it, 71% participants reported knowing how to report and 82% reported being confident to report. If this awareness were maintained, such an approach could contribute to improved reporting of suspected ADRs by the public.

Developing and evaluating a model of public involvement and engagement embedded in a national longitudinal study: HealthWise Wales

Introduction

Worldwide large cohort studies have invested in community engagement to promote studies and aid recruitment. HealthWise Wales, a national population study, aims to create a register of ‘research ready’ participants and provide long-term follow up data on health behaviours, outcomes and wider social and environmental determinants. Public involvement and engagement was key to the development of HealthWise Wales. We describe how a model for promoting HealthWise Wales was co-produced with members of the public.

Methods

Members of the public were invited to take part in a workshop, either in North or South Wales, to discuss public involvement in long-term cohort studies. Information on community engagement, projects that had used the concept of "citizen scientists" to promote involvement, and other large longitudinal studies was provided to 15 members of the public prior to the meeting. Eight of these attended the workshops, to explore the concept of citizen scientist and how it may relate to HealthWise Wales.

Results

Data from two workshops was used to draft a protocol for involvement that was reviewed and refined by members of the public. The protocol describes two levels of public involvement, HealthWise Wales Champion or Supporter. The Champion is a more formal role that requires promoting the project at public events, whereas Supporters pledge to promote the study to friends and family. Training was provided to 17 of the 26 members of the public who had expressed interest in becoming HWW Champions. Twelve trained Champions attended 41 events to promote the study and collect ’consent to contact’ forms from members of the public.

Conclusions

It is possible to develop a model of community engagement with members of the public to promote and raise awareness of a national population study in Wales. It is essential that adequate resource is provided to support the concept.

Cohort profile: HealthWise Wales. A research register and population health data platform with linkage to National Health Service data sets in Wales

PURPOSE

Recruitment and follow-up in epidemiological studies are time-consuming and expensive. Combining online data collection with a register of individuals who agree to be contacted about research opportunities provides an efficient, cost-effective platform for population-based research. HealthWise Wales (HWW) aims to facilitate research by recruiting a cohort of individuals who have consented to be informed about research projects, advertising studies to participants, supporting data collection on specific topics and providing access to linked healthcare data for secondary analyses. In this paper, we describe the design of the project, ongoing data collection, methods of data linkage to routine healthcare records, baseline characteristics of participants, the strengths and limitations of the register, and the ways in which the project can support researchers.

PARTICIPANTS

Adults (aged 16 years and above) living or receiving their healthcare in Wales are eligible for inclusion. Participants consent to be contacted for follow-up data collection and for their details to be used to access their routinely collected National Health Service records for research purposes. Data are collected using a web-based application, with new questionnaires added every 6 months. Data collection on sociodemographic and lifestyle factors is repeated at intervals of 2-3 years. Recruitment is ongoing, with 21 779 participants alive and currently registered.

FINDINGS TO DATE

99% of participants have complete information on age and sex, and 64% have completed questionnaires on sociodemographic and lifestyle factors. These data can be linked with national health databases within the Secure Anonymised Information Linkage (SAIL) databank, with 93% of participants matching a record in SAIL. HWW has facilitated the recruitment of 43 826 participants to 15 different studies.

FUTURE PLANS

The medium-term goal for the project is to enrol at least 50 000 adults. Recruitment strategies are being devised to achieve a study sample that closely models the population of Wales. Potential biosampling methods are also currently being explored.

Do carers care for themselves? A population-based study

Background Informal caregiving has become an integral part of many societies, however there is increasing concern about the well-being of carers and how they manage their care-related responsibilities in conjunction with their health and mental health. Previous studies have reported mixed results with some proposing that carers are intrinsically healthier. Aims To explore the association between different levels of caregiving and health behaviours and mental health status. Methods Data were collected through HealthWise Wales (HWW) and linked to healthcare records (N=27,455). These included self-reported data on level of caring responsibilities (0;1-19;20-49;50+ hours per week), whether or not they left employment due to their caring role, mental health using the short Mental Health Inventory (MHI-5) and health behaviour data on smoking status, physical activity and dietary habits. Data on current diagnosis of Anxiety and Depression were drawn from linked healthcare records. Separate logistic regression models adjusted for age, gender and socio-economic status were fitted to assess the association between intensity of caring responsibility and each mental health and health behaviour outcome. Results Of the 14,451 HWW participants who had complete records, 3,856 (26.7%) reported being an informal carer. Intense carers (20-49 hours per week) were more likely to be physically inactive (OR:1.27, 95%CI:1.04-1.56), smoke cigarettes (OR:1.49, 95%CI:1.11-2.00) and eat unhealthily (OR:1.48, 95%CI:1.13-1.93). They were more also likely to self-report (OR:1.87, 95%CI:1.51-2.32) or have a diagnosis of depression or anxiety (OR:1.57, 95%CI:1.26-1.97). Other levels of caregiving intensity also demonstrated the above associations. Carers who had given up work to care were more likely to be smokers and have common mental disorders. Conclusion Being an informal carer is associated with unhealthy behaviours and common mental disorders, with a gradient effect dependent on the level of caregiving activity. New interventions that can support carers to improve their health and wellbeing are urgently needed.

Estimation of the prevalence of cholesteryl ester storage disorder in a cohort of patients with clinical features of familial hypercholesterolaemia

BACKGROUND AND AIM

Familial hypercholesterolaemia is caused by variants in the low-density lipoprotein cholesterol metabolic pathway involving LDLR, APOB and PCSK9 genes. A national genetic testing service in Wales, UK has observed that no familial hypercholesterolaemia variant is found in almost 80% patients with the familial hypercholesterolaemia phenotype. It has recently been suggested that some adult patients with a familial hypercholesterolaemia phenotype may have cholesteryl ester storage disease which can also present as a mixed hyperlipidaemia. The commonest genetic cause of cholesteryl ester storage disease is an exon 8 splice junction variant in the LIPA gene (rs116928232, c.894G>A; E8SJM) previously found to have an allele frequency of 0.0011 (1 in 450 individuals) in a large European population. This study investigated the prevalence of the E8SJM in patients with a familial hypercholesterolaemia phenotype in Wales, UK.

METHOD

A total of 1203 patients with a clinical suspicion of familial hypercholesterolaemia but no familial hypercholesterolaemia variant were invited to participate. Of these, 668 patients provided informed written consent. Stored DNA samples from 663 patients were genotyped for the E8SJM variant.

RESULTS

Three heterozygotes were identified (allele frequency 0.0023). Whole gene sequencing of the LIPA gene was undertaken in these three individuals, but no other variants were found. Therefore, there were no cholesteryl ester storage disease patients (homozygote or compound heterozygote) identified in this cohort.

CONCLUSION

The allele frequency 0.0023 (1 in 221 individuals) for the E8SJM variant was more prevalent in this cohort than in a European population study; however, no cholesteryl ester storage disease homozygotes were identified. We found no evidence to support routine testing for cholesteryl ester storage disease in adult patients with a familial hypercholesterolaemia phenotype.

Diagnostic scoring for familial hypercholesterolaemia in practice

PURPOSE OF REVIEW

Diagnostic scoring for familial hypercholesterolaemia (FH) can be used either to screen for possible FH or guide the selection of patients for genetic (DNA) testing. We review the published diagnostic criteria and discuss the options for future development.

RECENT FINDINGS

Scoring systems have been developed internationally based on lipid values and various combinations of clinical signs and cardiovascular history. The predictive value varies according to the test population, be it lipid clinic referrals, general population, or relatives of patients with FH. Also, there is increasing recognition of genetic heterogeneity in FH so that criteria are of differing predictive value depending on the genetic variant of FH.

SUMMARY

These clinical scoring systems are increasingly used to guide selection of patients for FH genetic testing but no single approach has yet emerged as the system of choice. Further refinement of these scoring tools using more sophisticated calculators are superseding the more manual approaches. These are well suited to web-based tools or smartphone applications.