Social protection spending and inequalities in depressive symptoms across Europe

How, when, and why is social class linked to mental health and wellbeing? A systematic meta-review

RATIONALE

Meta-reviews synthesising research on social class and mental health and wellbeing are currently limited and focused on specific facets of social class (e.g., social capital) or mental health and wellbeing (e.g., mental health disorders), and none sought to identify mechanisms in this relationship.

OBJECTIVES

The present meta-review sought to (1) assess the overall relationship between social class and mental health and wellbeing, (2) determine the mechanisms that act in this relationship, and (3) evaluate the strength of evidence available.

METHODS

The protocol was prospectively registered on PROSPERO (CRD42021214731). We systematically searched twelve databases in September 2022 and identified 149 eligible reviews from 38,257 records screened. Quality of evidence was assessed with the JBI levels of evidence and risk of bias with the ROBIS tool.

RESULTS

A large but low-quality evidence base points to class-based inequalities in mental health and wellbeing, with the strongest available evidence linking lower social positions to an increased risk of depression. In terms of different facets of stratification, the best available evidence suggests that deprivation (e.g., poverty), socioeconomic status, income, and subjective social status are consequential for individuals' mental health and wellbeing. However, high-quality evidence for the roles of education, occupation, other economic resources (e.g., wealth), and social capital is currently limited. Most reviews employed individual-level measures (e.g., income), as opposed to interpersonal- (e.g., social capital) or community-level (e.g., neighbourhood deprivation) measures. Considering mechanisms, we found some evidence for mediation via subjective social status, sense of control, and experiences of stress and trauma. There was also some evidence that higher socioeconomic status can provide a buffer for neighbourhood deprivation, lower social capital, and lower subjective social status.

CONCLUSIONS

Future research employing experimental or quasi-experimental methods, and systematic reviews with a low risk of bias, are necessary to advance this area of research.

Trends in socioeconomic inequalities in incidence of severe mental illness - A population-based linkage study using primary and secondary care routinely collected data between 2000 and 2017

OBJECTIVE

In 2008, the UK entered a period of economic recession followed by sustained austerity measures. We investigate changes in inequalities by area deprivation and urbanicity in incidence of severe mental illness (SMI, including schizophrenia-related disorders and bipolar disorder) between 2000 and 2017.

METHODS

We analysed 4.4 million individuals from primary and secondary care routinely collected datasets (2000-2017) in Wales and estimated the incidence of SMI by deprivation and urbanicity measured by the Welsh Index of Multiple Deprivation (WIMD) and urban/rural indicator respectively. Using linear modelling and joinpoint regression approaches, we examined time trends of the incidence and incidence rate ratios (IRR) of SMI by the WIMD and urban/rural indicator adjusted for available confounders.

RESULTS

We observed a turning point of time trends of incidence of SMI at 2008/2009 where slope changes of time trends were significantly increasing. IRRs by deprivation/urbanicity remained stable or significantly decreased over the study period except for those with bipolar disorder sourced from secondary care settings, with increasing trend of IRRs (increase in IRR by deprivation after 2010: 1.6 % per year, 95 % CI: 1.0 %-2.2 %; increase in IRR by urbanicity 1.0 % per year, 95 % CI: 0.6 %-1.3 %).

CONCLUSIONS

There was an association between recession/austerity and an increase in the incidence of SMI over time. There were variations in the effects of deprivation/urbanicity on incidence of SMI associated with short- and long-term socioeconomic change. These findings may support targeted interventions and social protection systems to reduce incidence of SMI.

The Effect of Welfare State Policy Spending on the Equalization of Socioeconomic Status Disparities in Mental Health

This article examines whether and how the relationship between socioeconomic status (SES) and depression is modified by welfare state spending using the 2006, 2012, and 2014 survey rounds of the European Social Survey (ESS) merged with macroeconomic data from the World Bank, Eurostat, and SOCX database (N = 87,466). Welfare state spending effort divided between social investment and social protection spending modifies the classic inverse relationship between SES and depression. Distinguishing policy areas in both social investment and social protection spending demonstrates that policy programs devoted to education, early childhood education and care, active labor market policies, old age care, and incapacity account for differences in the effect of SES across countries. Our analysis finds that social investment policies better explain cross-national differences in the effect of SES on depression, implying policies focused earlier in the life course matter more for understanding social disparities in the mental health of populations.

Levelling up: Global examples of reducing health inequalities

There are significant inequalities in health by socio-economic status, race/ethnicity, gender, neighbourhood deprivation and other axes of social inequality. Reducing these health inequalities and improving health equity is arguably the 'holy grail' of public health. This article engages with this quest by presenting and analysing historical examples of when sizeable population-level reductions in health inequalities have been achieved. Five global examples are presented ranging from the 1950s to the 2000s: the Nordic social democratic welfare states from the 1950s to the 1970s; the Civil Rights Acts and War on Poverty in 1960s USA; democratisation in Brazil in the 1980s; German reunification in the 1990s; and the English health inequalities strategy in the 2000s. Welfare state expansion, improved health care access, and enhanced political incorporation are identified as three commonly held 'levellers' whereby health inequalities can be reduced - at scale. The article concludes by arguing that 'levelling up' population health through reducing health inequalities requires the long-term enactment of macro-level policies that aggressively target the social determinants of health.

The trend and pattern of depression prevalence in the U.S.: Data from National Health and Nutrition Examination Survey (NHANES) 2005 to 2016

BACKGROUND

To assess the trend and pattern of depression prevalence among adult population by demographic characteristics and severity of disease from 2005 to 2016.

METHODS

We used six cycles of National Health and Nutrition Examination Survey. The Patient Health Questionnaire (PHQ-9) was used to measure of depression with the total score ranges 0-27. Socio-demographic variables including age, gender, marital status, race, education, and poverty income ratio (PIR) were used. The weighted prevalence was calculated for each cycle. Logistic regression was used for assessing time-trends in the prevalence of depression.

RESULTS

A total of 31,191 participants aged>20 years were included. The intensity of prevalence trend was different among subgroups of demographic characteristics. Prevalence in females was 1.5-fold more than that in males and increased approximately 2-fold during the study period. The prevalence in "never married" and "other marital status" subgroups was almost 1.5-fold and 2-fold more than that in "married" subgroup, respectively. Prevalence in the never married subgroup increased 2-fold from the first cycle to the latest one. The prevalence of depression was more in the aged<60 years, race group other than white, low education and PIR≤1 subgroups. But, the intensity of the increasing trend was more in the subgroups of aged≥60 years, white race and PIR>1.

LIMITATIONS

the possibility of age-period-cohort (APC) effect that we were unable to assess and control them.

CONCLUSIONS

In sum, there was an overall increasing trend of depression which was different by demographic characteristics based on subtype of depression.

Local Inequalities in Health Behaviours: Longitudinal Findings from the Stockton-On-Tees Cohort Study

This paper provides a longitudinal examination of local inequalities in health behaviours during a period of austerity, exploring the role of ‘place’ in explaining these inequalities. Data from the Stockton-on-Tees prospective cohort study of 836 individuals were analysed and followed over 18 months (37% follow-up). Generalised estimating equation models estimated the deprivation gap in health behaviours (smoking status, alcohol use, fruit and vegetable consumption and physical activity practices) between the 20% most- and least-deprived neighborhoods (LSOAs), explored any temporal changes during austerity, and examined the underpinning role of compositional and contextual determinants. All health behaviours, except for frequent physical activity, varied significantly by deprivation (p ≤ 0.001). Smoking was lower in the least-deprived areas (OR 0.21, CI 0.14 to 0.30), while alcohol use (OR 2.75, CI 1.98 to 3.82) and fruit and vegetable consumption (OR 2.55, CI 1.80 to 3.62) were higher in the least-deprived areas. The inequalities were relatively stable throughout the study period. Material factors (such as employment, education and housing tenure) were the most-important and environmental factors the least-important explanatory factors. This study suggests that material factors are the most important ‘place’ determinants of health behaviours. Health promotion activities should better reflect these drivers.

A data linkage study of the effects of the Great Recession and austerity on antidepressant prescription usage

BACKGROUND

International literature shows unemployment and income loss during the Great Recession worsened population mental health. This individual-level longitudinal study examines how regional economic trends and austerity related to depression using administrative prescription data for a large and representative population sample.

METHODS

Records from a sample of the Scottish Longitudinal Study (N=86 500) were linked to monthly primary care antidepressant prescriptions (2009-15). Regional economic trends were characterized by annual full-time employment data (2004-14). Economic impact of austerity was measured via annual income lost per working age adult due to welfare reforms (2010-15). Sequence analysis identified new cases of antidepressant use, and group-based trajectory modelling classified regions into similar economic trajectories. Multi-level logistic regression examined relationships between regional economic trends and new antidepressant prescriptions. Structural equation mediation analysis assessed the contributory role of welfare reforms.

RESULTS

Employed individuals living in regions not recovering post-recession had the highest risk of beginning a new course of antidepressants (AOR 1.23; 95% CI 1.08-1.38). Individuals living in areas with better recovery trajectories had the lowest risk. Mediation analyses showed that 50% (95% CI 7-61%) of this association was explained by the impact of welfare benefit reforms on average incomes.

CONCLUSIONS

Following the Great Recession, local labour market decline and austerity measures were associated with growing antidepressant usage, increasing regional inequalities in mental health. The study evidences the impact of austerity on health inequalities and suggests that economic conditions and welfare policies impact on population health. Reducing the burden of mental ill-health primarily requires action on the social determinants.

Health inequalities in the Great Depression: a case study of Stockton on Tees, North-East England in the 1930s

BACKGROUND

Parallels have been drawn between the 'Great Depression' of the 1930s and the more recent 'Great Recession' that followed the 2007/8 financial crisis. Austerity was the common policy response by UK governments in both time periods. This article examines health inequalities at a local level in the 1930s, through a historical case study.

METHODS

Local and national historical archives, Medical Officer for Health reports, and secondary sources were examined from 1930 to 1939 to obtain data on inequalities in health (infant mortality rates, stillbirths and neonatal mortality rates, 1935 and crude overall mortality rates, 1936) and ward-level deprivation (over-crowding rates, 1935) in Stockton-on-Tees, North-East England.

RESULTS

There were high geographical inequalities in overcrowding and health in Stockton-on-Tees in the 1930s. Rates of overall mortality, in particular, were higher in those wards with higher levels of overcrowding.

CONCLUSIONS

There were geographical inequalities in health in the 1930s and the most deprived areas had the worst overall mortality rates. The areas with the worst housing conditions and health outcomes in the 1930s remain so today - health inequality is extant over time across different periods of austerity.

COVID-19 mental health impact and responses in low-income and middle-income countries: reimagining global mental health

Most of the global population live in low-income and middle-income countries (LMICs), which have historically received a small fraction of global resources for mental health. The COVID-19 pandemic has spread rapidly in many of these countries. This Review examines the mental health implications of the COVID-19 pandemic in LMICs in four parts. First, we review the emerging literature on the impact of the pandemic on mental health, which shows high rates of psychological distress and early warning signs of an increase in mental health disorders. Second, we assess the responses in different countries, noting the swift and diverse responses to address mental health in some countries, particularly through the development of national COVID-19 response plans for mental health services, implementation of WHO guidance, and deployment of digital platforms, signifying a welcome recognition of the salience of mental health. Third, we consider the opportunity that the pandemic presents to reimagine global mental health, especially through shifting the balance of power from high-income countries to LMICs and from narrow biomedical approaches to community-oriented psychosocial perspectives, in setting priorities for interventions and research. Finally, we present a vision for the concept of building back better the mental health systems in LMICs with a focus on key strategies; notably, fully integrating mental health in plans for universal health coverage, enhancing access to psychosocial interventions through task sharing, leveraging digital technologies for various mental health tasks, eliminating coercion in mental health care, and addressing the needs of neglected populations, such as children and people with substance use disorders. Our recommendations are relevant for the mental health of populations and functioning of health systems in not only LMICs but also high-income countries impacted by the COVID-19 pandemic, with wide disparities in quality of and access to mental health care.

Effects of social security policy reforms on mental health and inequalities: A systematic review of observational studies in high-income countries

Evidence increasingly shows that changes to social security policies can affect population mental health. Thus, in the context of rising burden of mental illness, it is of major importance to better understand how expansions and contractions to the social security system may impact on mental health of both adults and children. The aim of this systematic review is to provide a synthesis of observational literature on the effects on mental health and inequalities in mental health of social security reforms. We conducted a systematic review of quantitative observational studies of specific national and regional social security policy changes in high-income countries and summarised the mental health effects of these policies. We searched seven electronic databases, including Medline, PsychInfo, Embase, CINAHL, ASSIA (Proquest), Scopus and Research Papers in Economics from January 1979 to June 2020. We included both objective and subjective mental health and wellbeing measures. The study quality was assessed using the Validity Assessment tool for econometric studies. We identified 13,403 original records, thirty-eight of which were included in the final review. Twenty-one studies evaluated expansionary social security policies and seventeen studies evaluated contractionary policies. Overall, we found that policies that improve social security benefit eligibility/generosity are associated with improvements in mental health, as reported by fourteen of the included studies. Social security policies that reduce eligibility/generosity were related to worse mental health, as reported by eleven studies. Ten studies found no effect for either policies contracting or expanding welfare support. Fourteen studies also evaluated the impact on mental health inequalities and found that contractionary policies tend to increase inequalities whereas expansionary policies have the opposite effect. Changes in social security policies can have significant effects on mental health and health inequalities across different recipient groups. Such health effects should be taken into account when designing future social policy reforms.

Organized Labor and Depression in Europe: Making Power Explicit in the Political Economy of Health

Despite engagement with the construct of power relations, research on the political economy of health has largely overlooked organized labor as a determinant of well-being. Grounded in the theory of power resources, our study aims to fill this gap by investigating the link between country-level union density and mental health while accounting for the compositional effects of individual-level union membership. We use three waves of the European Social Survey (N = 52,737) and a variation on traditional random-effects models to estimate both the contextual and change effects of labor unions on depressive symptoms. We find that country-level union density is associated with fewer depressive symptoms and that this is true irrespective of union membership. We discuss our findings vis-à-vis the literatures on the political economy of health, power resources, and fundamental causes of disease.

Regional employment and individual worklessness during the Great Recession and the health of the working-age population: Cross-national analysis of 16 European countries

Studies from single countries suggest that local labour market conditions, including rates of employment, tend to be associated with the health of the populations residing in those areas, even after adjustment for individual characteristics including employment status. The aim of this study is to strengthen the cross-national evidence base on the influence of regional employment levels and individual worklessness on health during the period of the Great Recession. We investigate whether higher regional employment levels are associated with better health over and above individual level employment. Individual level data (N = 23,078 aged 15–64 years) were taken from 16 countries (Austria, Belgium, Czech Republic, Denmark, Finland, France, Germany, Hungary, Ireland, Netherlands, Norway, Poland, Portugal, Spain, Sweden and United Kingdom) participating in the 2014 European Social Survey. Regional employment rates were extracted from Eurostat, corresponding with the start (2008) and end (2013) of the Great Recession. Health outcomes included self-reported heart or circulation problems, high blood pressure, diabetes, self-rated health, depression, obesity and allergies (as a falsification test). We calculated multilevel Poisson regression models, which included individuals nested within regions, controlling for potential confounding variables and country fixed effects. After adjustment for individual level socio-demographic factors, higher average regional employment rates (from 2008 to 2013) were associated with better health outcomes. Individual level worklessness was associated with worsened health outcomes, most strongly with poor self-rated health. In models including both individual worklessness and the average regional employment rate, regional employment remained associated with heart and circulation problems, depression and obesity. There was evidence of an interaction between individual worklessness and regional employment for poor self-rated health and depression. The findings suggest that across 16 European countries, for some key outcomes, higher levels of employment in the regional labour market may be beneficial for the health of the local population.

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Few cross-national studies have examined regional employment and health.

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High regional employment is related to reduced risk of poor health.

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Regional employment moderates the impact of individual worklessness on some outcomes.

How do macro-level structural determinants affect inequalities in mental health? - a systematic review of the literature

BACKGROUND

In Europe and elsewhere there is rising concern about inequality in health and increased prevalence of mental ill-health. Structural determinants such as welfare state arrangements may impact on levels of mental health and social inequalities. This systematic review aims to assess the current evidence on whether structural determinants are associated with inequalities in mental health outcomes.

METHODS

We conducted a systematic review of quantitative studies published between 1996 and 2017 based on search results from the following databases Medline, Embase, PsychInfo, Web of Science, Sociological Abstracts and Eric. Studies were included if they focused on inequalities (measured by socio-economic position and gender), structural determinants (i.e. public policies affecting the whole population) and showed a change or comparison in mental health status in one (or more) of the Organisation for Economic Cooperation and Development (OECD) countries. All studies were assessed for inclusion and study quality by two independent reviewers. Data were extracted and synthesised using narrative analysis.

RESULTS

Twenty-one articles (17 studies) met the inclusion criteria. Studies were heterogeneous with regards to methodology, mental health outcomes and policy settings. More comprehensive and gender inclusive welfare states (e.g. Nordic welfare states) had better mental health outcomes, especially for women, and less gender-related inequality. Nordic welfare regimes may also decrease inequalities between lone and couple mothers. A strong welfare state does not buffer against socio-economic inequalities in mental health outcomes. Austerity measures tended to worsen mental health and increase inequalities. Area-based initiatives and educational policy are understudied.

CONCLUSION

Although the literature on structural determinants and inequalities in mental health is limited, our review shows some evidence supporting the causal effects of structural determinants on mental health inequalities. The lack of evidence should not be interpreted as lack of effect. Future studies should apply innovative methods to overcome the inherent methodological challenges in this area, as structural determinants potentially affect both levels of mental health and social inequalities.

Inequalities in mental health and well-being in a time of austerity: Follow-up findings from the Stockton-on-Tees cohort study

In response to the 2007/8 financial crisis and the subsequent ‘Great Recession’, the UK government pursued a policy of austerity, characterised by public spending cuts and reductions in working-age welfare benefits. This paper reports on a case study of the effects of this policy on local inequalities in mental health and wellbeing in the local authority of Stockton-on-Tees in the North East of England, an area with very high spatial and socio-economic inequalities. Follow-up findings from a prospective cohort study of the gap in mental health and wellbeing between the most and least deprived neighbourhoods of Stockton-on-Tees is presented. It is the first quantitative study to use primary data to intensively and longitudinally explore local inequalities in mental health and wellbeing during austerity and it also examines any changes in the underpinning social and behavioural determinants of health. Using a stratified random sampling technique, the data was analysed using linear mixed effects model (LMM) that explored any changes in the gap in mental health and wellbeing between people from the most and least deprived areas, alongside any changes in the material, psychosocial and behavioural determinants. The main findings are that the significant gap in mental health between the two areas remained constant over the 18-month study period, whilst there were no changes in the underlying determinants. These results may reflect our relatively short follow-up period or the fact that the cohort sample were older than the general population and pensioners in the UK have largely been protected from austerity. The study therefore potentially provides further empirical evidence to support assertions that social safety nets matter - particularly in times of economic upheaval.

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First quantitative study to use primary data to intensively and longitudinally explore local inequalities in mental health and wellbeing during austerity.

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Also examines any changes in the material, psychosocial and behavioural determinants.

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Finds that the large gap in mental health between the two areas remained constant over the 18-month study period, whilst there were no changes in the underlying determinants.

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The stability of inequalities in mental health and wellbeing during austerity may have been because the sample was older than the general population and pensioners in the UK have largely been shielded from austerity.

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Discusses the importance of universal benefits in the context of health inequalities and austerity.

Health inequalities between employed and unemployed in northern Sweden: a decomposition analysis of social determinants for mental health

BACKGROUND

Even though population health is strongly influenced by employment and working conditions, public health research has to a lesser extent explored the social determinants of health inequalities between people in different positions on the labour market, and whether these social determinants vary across the life course. This study analyses mental health inequalities between unemployed and employed in three age groups (youth, adulthood and mid-life), and identifies the extent to which social determinants explain the mental health gap between employed and unemployed in northern Sweden.

METHODS

The Health on Equal Terms survey of 2014 was used, with self-reported employment (unemployed or employed) as exposure and the General Health Questionnaire (GHQ-12) as mental health outcome. The social determinants of health inequalities were grouped into four dimensions: socioeconomic status, economic resources, social network and trust in institutional systems. The non-linear Oaxaca decomposition analysis was applied, stratified by gender and age groups.

RESULTS

Mental health inequality was found in all age groups among women and men (difference in GHQ varying between 0.12 and 0.20). The decomposition analysis showed that the social determinants included in the model accounted for 43-51% of the inequalities among youths, 42-98% of the inequalities among adults and 60-65% among middle-aged. The main contributing factors were shown to vary between age groups: cash margin (among youths and middle-aged men), financial strain (among adults and middle-aged women), income (among men in adulthood), along with trust in others (all age groups), practical support (young women) and social support (middle-aged men); stressing how the social determinants of health inequalities vary across the life course.

CONCLUSIONS

The health gap between employed and unemployed was explained by the difference in access to economic and social resources, and to a smaller extent in the trust in the institutional systems. Findings from this study corroborate that much of the mental health inequality in the Swedish labour market is socially and politically produced and potentially avoidable. Greater attention from researchers, policy makers on unemployment and public health should be devoted to the social and economic deprivation of unemployment from a life course perspective to prevent mental health inequality.

Geographical inequalities in health in a time of austerity: Baseline findings from the Stockton-on-Tees cohort study

Stockton-on-Tees has the highest geographical inequalities in health in England with the life expectancy at birth gap between the most and deprived neighbourhoods standing at over 17 years for men and 11 years for women. In this study, we provide the first detailed empirical examination of this geographical health divide by: estimating the gap in physical and general health (as measured by EQ. 5D, EQ. 5D-VAS and SF8PCS) between the most and least deprived areas; using a novel statistical technique to examining the causal role of compositional and contextual factors and their interaction; and doing so in a time of economic recession and austerity. Using a stratified random sampling technique, individual-level survey data was combined with secondary data sources and analysed using multi-level models with 95% confidence intervals obtained from nonparametric bootstrapping. The main findings indicate that there is a significant gap in health between the two areas, and that compositional level material factors, contextual factors and their interaction appear to be the major explanations of this gap. Contrary to the dominant policy discourse in this area, individual behavioural and psychosocial factors did not make a significant contribution towards explaining health inequalities in the study area. The findings are discussed in relation to geographical theories of health inequalities and the context of austerity.

"How the other half live": Lay perspectives on health inequalities in an age of austerity

This paper examines how people living in two socially contrasting areas of Stockton on Tees, North East England experience, explain, and understand the stark health inequalities in their town. Participants displayed opinions that fluctuated between a variety of converging and contrasting explanations. Three years of ethnographic observation in both areas (2014-2017) generated explanations which initially focused closely on behavioural and individualised factors, whilst 118 qualitative interviews subsequently revealed more nuanced justifications, which prioritised more structural, material and psychosocial influences. Findings indicate that inequalities in healthcare, including access, the importance of judgemental attitudes, and perceived place stigma, would then be offered as explanations for the stark gap in spatial inequalities in the area. Notions of fatalism, linked to (a lack of) choice, control, and fear of the future, were common reasons given for inequalities across all participants. We conclude by arguing for a prioritisation of listening to, and working to understand, the experiences of communities experiencing the brunt of health inequalities; especially important at a time of austerity.

Health inequities in the age of austerity: The need for social protection policies

This commentary assesses the impacts of the global austerity drive on health inequities in the aftermath of the global financial crisis of 2008. In doing so, it first locates the origins of austerity within the 40 year history of neoliberal economic orthodoxy. It then describes the global diffusion of austerity since 2008, and its key policy tenets. It next describes the already visible impacts of austerity-driven welfare reform on trends in health equity, and documents how austerity has exacerbated health inequities in countries with weak social protection policies. We finally identify the components of an alternative policy response to the financial crisis than that of austerity, with specific reference to the need for shifts in national and global taxation policies and public social protection policies and spending. We conclude with a call for a reorientation of public policy towards making human health an overarching global policy goal, and how this aligns with the multilaterally agreed upon Sustainable Development Goals.

Multi-scalar influences on mortality change over time in 274 European cities

Understanding determinants of urban health is of growing importance. Factors at multiple scales intertwine to influence health in cities but, with the growing autonomy of some cities from their countries, city population health may be becoming more a matter for city-level rather than national-level policy and action. We assess the importance of city, country, and macroregional (Western and East-Central Europe) scales to mortality change over time for 274 cities (population 80 million) from 27 European countries. We then investigate whether mortality changes over time are related to changes in city-level affluence. Using Urban Audit data, all-age all-cause standardised mortality ratios (SMRs) for males and females were calculated at three time points (wave one 1999-2002, wave two 2003-2006, and wave three 2007-2009) for each city. Multilevel regression was used to model the SMRs as a function of survey wave and city region gross domestic product (GDP) per 1000 capita. SMRs declined over time and the substantial East-West gap narrowed slightly. Variation at macroregion and country scales characterised SMRs for women in Western and East-Central European cities, and SMRs for men in East-Central European cities. Between-city variation was evident for male SMRs in Western Europe. Changes in city-region GDP per capita were not associated with changes in mortality over the study period. Our results show how geographical scales differentially impact urban mortality. We conclude that changes in urban health should be seen in both city and wider national and macroregional contexts.