Health behaviors and subsequent mental health problems during the COVID-19 pandemic: A longitudinal analysis of adults in the UK.

Introduction: Public health mitigation policies aimed at slowing the spread of COVID-19 led to an increase in mental health problems (MHPs). This study examines the association between multiple pre-pandemic health behaviors and MHPs prior to, and during, the COVID-19 pandemic. Methods: We analyzed a representative population sample of 11,256 adults (aged 20-65 years) from Understanding Society-The UK Household Longitudinal Study. Baseline data from participants interviewed in 2017/2019 (wave 9) were linked to web surveys conducted during the COVID-19 pandemic. We used latent class analysis (LCA) to identify mutually exclusive health behavior (physical activity, alcohol consumption, eating habits and smoking tobacco) clusters by gender, and examined the sociodemographic correlates of each cluster. We assessed how pre-pandemic latent classes of health behaviors were associated with changes in MHPs during the pandemic using fixed effects regression models. Results: Three health behavior clusters were identified: positive (33%), moderate (24%), and high risk (43%), where similar behaviors clustered within individuals and sociodemographic circumstances. In particular, gender, age, migrant status and ethnicity were found to have strong associations with each cluster. Our results also demonstrated a clear association in MHPs with health behaviors both prior to, and during the pandemic. There were significant increases in MHPs between 2017/2019 and January 2021, with fluctuations coinciding with changes in public health mitigation policies. Assessments across the three clusters showed about 25.2%, 16.9%, and 0.7% increases in MHPs in the positive, moderate and high risk health behavior clusters, respectively. Discussion: This study shows that pre-pandemic health behaviors were significantly associated with mental health before and during the pandemic. Holistic policy interventions and promotions targeting multiple health behaviors may be an effective strategy to improve mental health in the pandemic recovery period.

Health behaviors and subsequent mental health problems during the COVID-19 pandemic: A longitudinal analysis of adults in the UK

Introduction Public health mitigation policies aimed at slowing the spread of COVID-19 led to an increase in mental health problems (MHPs). This study examines the association between multiple pre-pandemic health behaviors and MHPs prior to, and during, the COVID-19 pandemic. Methods We analyzed a representative population sample of 11,256 adults (aged 20–65 years) from Understanding Society—The UK Household Longitudinal Study. Baseline data from participants interviewed in 2017/2019 (wave 9) were linked to web surveys conducted during the COVID-19 pandemic. We used latent class analysis (LCA) to identify mutually exclusive health behavior (physical activity, alcohol consumption, eating habits and smoking tobacco) clusters by gender, and examined the sociodemographic correlates of each cluster. We assessed how pre-pandemic latent classes of health behaviors were associated with changes in MHPs during the pandemic using fixed effects regression models. Results Three health behavior clusters were identified: positive (33%), moderate (24%), and high risk (43%), where similar behaviors clustered within individuals and sociodemographic circumstances. In particular, gender, age, migrant status and ethnicity were found to have strong associations with each cluster. Our results also demonstrated a clear association in MHPs with health behaviors both prior to, and during the pandemic. There were significant increases in MHPs between 2017/2019 and January 2021, with fluctuations coinciding with changes in public health mitigation policies. Assessments across the three clusters showed about 25.2%, 16.9%, and 0.7% increases in MHPs in the positive, moderate and high risk health behavior clusters, respectively. Discussion This study shows that pre-pandemic health behaviors were significantly associated with mental health before and during the pandemic. Holistic policy interventions and promotions targeting multiple health behaviors may be an effective strategy to improve mental health in the pandemic recovery period.

Evaluation of the mental health impacts of Universal Credit: protocol for a mixed methods study.

INTRODUCTION: The UK social security system is being transformed by the implementation of Universal Credit (UC), which combines six existing benefits and tax credits into a single payment for low-income households. Despite extensive reports of hardship associated with the introduction of UC, no previous studies have comprehensively evaluated its impact on mental health. Because payments are targeted at low-income households, impacts on mental health will have important consequences for health inequalities. METHODS AND ANALYSIS: We will conduct a mixed methods study. Work package (WP) 1 will compare health outcomes for new recipients of UC with outcomes for legacy benefit recipients in two large population surveys, using the phased rollout of UC as a natural experiment. We will also analyse the relationship between the proportion of UC claimants in small areas and a composite measure of mental health. WP2 will use data collected by Citizen's Advice to explore the sociodemographic and health characteristics of people who seek advice when claiming UC and identify features of the claim process that prompt advice-seeking. WP3 will conduct longitudinal in-depth interviews with up to 80 UC claimants in England and Scotland to explore reasons for claiming and experiences of the claim process. Up to 30 staff supporting claimants will also be interviewed. WP4 will use a dynamic microsimulation model to simulate the long-term health impacts of different implementation scenarios. WP5 will undertake cost-consequence analysis of the potential costs and outcomes of introducing UC and cost-benefit analyses of mitigating actions. ETHICS AND DISSEMINATION: We obtained ethical approval for the primary data gathering from the University of Glasgow, College of Social Sciences Research Ethics Committee, application number 400200244. We will use our networks to actively disseminate findings to UC claimants, the public, practitioners and policy-makers, using a range of methods and formats. TRIAL REGISTRATION NUMBER: The study is registered with the Research Registry: researchregistry6697.

Trends in inequalities in local authority spending on cultural, environmental and planning services: a longitudinal study in England, Scotland, and Wales

BackgroundLocal authorities (LAs) provide Cultural, Environmental, and Planning (CEP) services, such as parks, libraries, and waste collection, that are vital in supporting the health of the communities they serve. There have been significant changes to LA funding recently, most notably due to the UK government’s austerity programme. These changes have not affected all places equally. To understand potential impacts on health inequalities, we investigated the extent to which areas have been differentially affected by declines in CEP services spending based on local characteristics.MethodsWe conducted a longitudinal ecological study using routinely available data on LA expenditure, as collated in the Place-Based Longitudinal Data Resource. We used generalised estimating equations to determine how expenditure trends varied across 378 LAs in Great Britain between 2009 and 2018 on the basis of country, deprivation, rurality, and local government structure. We investigated the gross expenditure per capita on CEP services, and the CEP expenditure as a proportion of total LA budgets. We conducted analysis using R v4.0.2.ResultsExpenditure per capita for CEP services reduced by 36% between 2009 and 2018. In England, the reduction in per capita spending was steepest in the most deprived quintile of areas, falling by 5.9% [95% CI: 4.7;7.0] per year, compared to 3.3% [95% CI: 2.5;4.1] in the least deprived quintile. Budget cuts in Scotland and Wales have been more equitable, showing little differentiation between most and least deprived areas. Welsh LAs have reduced the proportion of total LA budget spent on CEP services more than any other country (-2.9% per year [95% CI: -4.0;-1.8]), followed by Scotland (-1.5% [95% CI: -2.8;-0.3]) then England (-0.5% [95% CI: -1.0;0.1). In England, rural LAs have reduced their CEP spending share more than those in urban areas, and unitary authorities have reduced their share more than those in a two-tier structure.ConclusionThere have been distinct inequalities in the reduction of spending for CEP services. LAs with a higher baseline level of deprivation, those with a single-tier local government structure, and English rural LAs have been worst affected. These inequalities in cuts to services that impact public health risk widening geographical and social health inequalities. Understanding these inequalities will provide crucial evidence to inform the UK government’s ‘levelling up’ strategy as the country recovers from the COVID-19 pandemic. One limitation of our study is that we were unable to investigate how resources have been distributed within LAs.

How does vulnerability to COVID-19 vary between communities in England? Developing a Small Area Vulnerability Index (SAVI).

BACKGROUND: During the initial wave of the COVID-19 epidemic in England, several population characteristics were associated with increased risk of mortality-including, age, ethnicity, income deprivation, care home residence and housing conditions. In order to target control measures and plan for future waves of the epidemic, public health agencies need to understand how these vulnerabilities are distributed across and clustered within communities. METHODS: We performed a cross-sectional ecological analysis across 6789 small areas in England. We assessed the association between COVID-19 mortality in each area and five vulnerability measures relating to ethnicity, poverty, prevalence of long-term health conditions, living in care homes and living in overcrowded housing. Estimates from multivariable Poisson regression models were used to derive a Small Area Vulnerability Index. RESULTS: Four vulnerability measures were independently associated with age-adjusted COVID-19 mortality. Each SD increase in the proportion of the population (1) living in care homes, (2) admitted to hospital in the past 5 years for a long-term health condition, (3) from an ethnic minority background and (4) living in overcrowded housing was associated with a 28%, 19% 8% and 11% increase in age-adjusted COVID-19 mortality rate, respectively. CONCLUSION: Vulnerability to COVID-19 was noticeably higher in the North West, West Midlands and North East regions, with high levels of vulnerability clustered in some communities. Our analysis indicates the communities who will be most at risk from a second wave of the pandemic.

Priorities for the child public health response to the COVID-19 pandemic recovery in England.

Child health is at risk from the unintended consequences of the COVID-19 response and will suffer further unless it is given proper consideration. The pandemic can be conceived as a systemic shock to the wider determinants of child health, with impacts on family functioning and income, access to healthcare and education. This article outlines COVID-19 impacts on children in England. Key priorities relate to the diversion of healthcare during lockdown; interruption and return to schooling; increased health risks and long-term impacts on child poverty and social inequalities. We provide an overview of mitigation strategies and policy recommendations aimed to assist both national and local professionals across child health, education, social care and related fields to inform the policy response.