ALL IN IT TOGETHER? THE EFFECTS OF RECESSION ON POPULATION HEALTH AND HEALTH INEQUALITIES IN ENGLAND AND SWEDEN, 1991-2010

Healthy ageing for all? Comparisons of socioeconomic inequalities in health expectancies over two decades in the Cognitive Function and Ageing Studies I and II

Background

Despite increasing life expectancy (LE), cross-sectional data show widening inequalities in disability-free LE (DFLE) by socioeconomic status (SES) in many countries. We use longitudinal data to better understand trends in DFLE and years independent (IndLE) by SES, and how underlying transitions contribute.

Methods

The Cognitive Function and Ageing Studies (CFAS I and II) are large population-based studies of those aged ≥65 years in three English centres (Newcastle, Nottingham, Cambridgeshire), with baseline around 1991 (CFAS I, n = 7635) and 2011 (CFAS II, n = 7762) and 2-year follow-up. We defined disability as difficulty in activities of daily living (ADL), dependency by combining ADLs and cognition reflecting care required, and SES by area-level deprivation. Transitions between disability or dependency states and death were estimated from multistate models.

Results

Between 1991 and 2011, gains in DFLE at age 65 were greatest for the most advantaged men and women [men: 4.7 years, 95% confidence interval (95% CI) 3.3–6.2; women: 2.8 years, 95% CI 1.3–4.3]. Gains were due to the most advantaged women having a reduced risk of incident disability [relative risk ratio (RRR):0.7, 95% CI 0.5–0.8], whereas the most advantaged men had a greater likelihood of recovery (RRR: 1.8, 95% CI 1.0–3.2) and reduced disability-free mortality risk (RRR: 0.4, 95% CI 0.3–0.6]. Risk of death from disability decreased for least advantaged men (RRR: 0.7, 95% CI 0.6–0.9); least advantaged women showed little improvement in transitions. IndLE patterns across time were similar.

Conclusions

Prevention should target the most disadvantaged areas, to narrow inequalities, with clear indication from the most advantaged that reduction in poor transitions is achievable.

Why were there 231 707 more deaths than expected in England between 2010 and 2018? An ecological analysis of mortality records

BACKGROUND

Policy responses to the Global Financial Crisis emphasized wide-ranging fiscal austerity measures, many of which have been found to negatively impact health outcomes. This paper investigates change in patterns of mortality at local authority level in England (2010-11 to 2017-18) and the relation with fiscal austerity measures.

METHODS

Data from official local authority administrative records are used to quantify the gap between observed deaths and what was anticipated in the 2010-based subnational population projections. Regression analyses are used to explore the relation between excess deaths, austerity and wider process of population change at local authority level.

RESULTS

We estimate 231 707 total excess deaths, the majority of which occurred since 2014-15 (89%) across the majority of local authorities (91%). Austerity is positively associated with excess deaths. For working age adults, there is a clear gradient to the impact of austerity, whereas for older adults, the impact is more uniform.

CONCLUSIONS

Fiscal austerity policies contributed to an excess of deaths for older people and widened social inequalities for younger populations. These results call for an end to all austerity measures and require further research into areas with the highest total excess deaths as a priority following the COVID-19 pandemic.

COVID-19 and the gender health paradox

This article examines gender-based health inequalities arising from the COVID-19 pandemic by drawing on insights from research into the 'gender health paradox'. Decades of international research shows that, across Europe, men have shorter life expectancies and higher mortality rates than women, and yet, women report higher morbidity. These gender-based health inequalities also appear to be evident within the pandemic and its aftermath. The article starts by providing an overview of the 'gender health paradox' and the biological, social, economic and political explanations for it. It then outlines the international estimates of gender-based inequalities in COVID-19 morbidity and mortality rates - where emerging data suggests that women are more likely to be diagnosed with COVID-19 but that men have a higher mortality rate. It then explores the longer term consequences for gender-based health inequalities of the aftermath of the COVID-19 pandemic, focusing on the impacts of government policy responses and the emerging economic crisis, suggesting that this might lead to increased mortality amongst men and increased morbidity amongst women. The essay concludes by reflecting on the pathways shaping gender-based health inequalities in the COVID-19 pandemic and the responses needed to ensure that it does not exacerbate gender-based health inequalities into the future.

The COVID-19 pandemic and health inequalities

This essay examines the implications of the COVID-19 pandemic for health inequalities. It outlines historical and contemporary evidence of inequalities in pandemics—drawing on international research into the Spanish influenza pandemic of 1918, the H1N1 outbreak of 2009 and the emerging international estimates of socio-economic, ethnic and geographical inequalities in COVID-19 infection and mortality rates. It then examines how these inequalities in COVID-19 are related to existing inequalities in chronic diseases and the social determinants of health, arguing that we are experiencing a syndemicpandemic. It then explores the potential consequences for health inequalities of the lockdown measures implemented internationally as a response to the COVID-19 pandemic, focusing on the likely unequal impacts of the economic crisis. The essay concludes by reflecting on the longer-term public health policy responses needed to ensure that the COVID-19 pandemic does not increase health inequalities for future generations.

Widespread and widely widening? Examining absolute socioeconomic health inequalities in northern Sweden across twelve health indicators

BACKGROUND

Socioeconomic inequalities in health is a widely studied topic. However, epidemiological research tends to focus on one or a few outcomes conditioned on one indicator, overlooking the fact that health inequalities can vary depending on the outcome studied and the indicator used. To bridge this gap, this study aims to provide a comprehensive picture of the patterns of socioeconomic health inequalities in Northern Sweden over time, across a range of health outcomes, using an 'outcome-wide' epidemiological approach.

METHOD

Cross-sectional data from three waves of the 'Health on Equal Terms' survey, distributed in 2006, 2010 and 2014 were used. Firstly, socioeconomic inequalities by income and education for twelve outcomes (self-rated health, self-rated dental health, overweight, hypertension, diabetes, long-term illness, stress, depression, psychological distress, smoking, risky alcohol consumption, and physical inactivity) were examined by calculating the Slope Index of Inequality. Secondly, time trends for each outcome and socioeconomic indicator were estimated.

RESULTS

Income inequalities increased for psychological distress and physical inactivity in men as well as for self-rated health, overweight, hypertension, long-term illness, and smoking among women. Educational inequalities increased for hypertension, long-term illness, and stress (the latter favouring lower education) in women. The only instance of decreasing income inequalities was seen for long-term illness in men, while education inequalities decreased for long-term illness in men and poor self-rated health, poor self-rated dental health, and smoking in women.

CONCLUSION

Patterns of absolute socioeconomic inequalities in health vary by health and socioeconomic indicator, as well as between men and women. Overall, trends appear more stagnant in men while they fluctuate in women. Income inequalities seem to be generally greater than educational inequalities when looking across several different health indicators, a message that can only be derived from this type of outcome-wide study. These disparate findings suggest that generalised and universal statements about the development of health inequalities can be too simplistic and potentially misleading. Nonetheless, despite inequalities being complex, they do exist and tend to increase. Thus, an outcome-wide approach is a valuable method which should be utilised to generate evidence for prioritisations of policy decisions.

Ideal Cardiovascular Health Among American Adults After the Economic Recession of 2008-2009: Insights from NHANES

BACKGROUND

The economic recession of 2008-2009 resulted in unprecedented employment and economic losses leading to deterioration of cardiovascular health. We examined the trends in ideal cardiovascular health as measured by the American Heart Association's (AHA's) Life's Simple 7 metric during the periods of economic recession and subsequent economic recovery.

METHODS

Data on adults ages ≥20 years from the NHANES from economic-recession (2007-2010) and post-recession (2011-2016) periods was analyzed. The AHA's Life's Simple 7 score of 10-14 was used to classify ideal cardiovascular health status. Socioeconomic status was divided into 3 categories: high, middle, and low based on education and income status. Multivariable linear and logistic regression models including demographics, insurance status, health care access, and adjustment for multiple testing were used to analyze the trends in prevalence of ideal cardiovascular health across socioeconomic strata.

RESULTS

We observed a decline in the multivariable-adjusted mean cardiovascular health score from 8.18 in 2007-2010 to 7.94 in 2015-2016 (P_linear = 0.02). This was primarily driven by the increasing prevalence of obesity (34% in 2007-2010 vs 41% in 2015-2016, P_linear = 0.005) and poor fasting glucose (8% in 2007-2010 vs 12% in 2015-2016, P_linear = 0.003). In multivariable-adjusted models, we observed the decreasing prevalence of ideal cardiovascular health with a nonlinear trend in the participants in the highest (51% in 2007-2010 vs 42% in 2015-2016, P_quadratic = 0.01) and lowest socioeconomic strata (16% in 2007-2010 vs 13% in 2015-2016, P_quadratic = 0.02). The prevalence of ideal cardiovascular health was higher in participants with high-socioeconomic status compared with other socioeconomic status participants.

CONCLUSIONS

Despite economic recovery, ideal cardiovascular health metrics have not yet recovered. Cardiovascular health appears to be further deteriorating for US adults, particularly those in high- and lower-socioeconomic strata.

Trends in socioeconomic inequalities in self-rated health in Germany: a time-trend analysis of repeated cross-sectional health surveys between 2003 and 2012

OBJECTIVES

This study assessed the extent of educational and income inequalities in self-rated health (SRH) in the German adult population between 2003 and 2012 and how these inequalities changed over time.

DESIGN

Repeated cross-sectional health interview surveys conducted in 2003, 2009, 2010 and 2012.

SETTING AND PARTICIPANTS

The study population was the German adult population aged 25-69, living in private households in Germany. In total 54 197 randomly selected participants (2003: 6890; 2009: 16 418; 2010: 17 145; 2012: 13 744) were included.

MAIN OUTCOME MEASURES

SRH was assessed with one single question. Five answer categories were dichotomised into good ('very good' and 'good') versus poor ('moderate', 'poor', 'very poor') SRH. To estimate the extent of the correlation between absolute and relative inequalities in SRH on the one hand, and income and education on the other; slope indices of inequality (SII) and relative indices of inequality (RII) were estimated using linear probability and log-binomial regression models.

RESULTS

There were considerable and persisting educational and income inequalities in SRH in every survey year. Absolute educational inequalities were largely stable (2003: SII=0.25, 95% CI 0.21 to 0.30; 2012: 0.29, 95% CI 0.25 to 0.33; p trend=0.359). Similarly, absolute income inequalities were stable (2003: SII=0.22, 95% CI 0.17 to 0.27; 2012: SII=0.26, 95% CI 0.22 to 0.30; p trend=0.168). RII by education (2003: 2.53, 95% CI 2.11 to 3.03; 2012: 2.72, 95% CI 2.36 to 3.13; p trend=0.531) and income (2003: 2.09. 95% CI 1.75 to 2.49; 2012: 2.53, 95% CI 2.19 to 2.92; p trend=0.051) were equally stable over the same period.

CONCLUSIONS

We found considerable and persisting absolute and relative socioeconomic inequalities in SRH in the German adult population between 2003 and 2012, with those in lower socioeconomic position reporting poorer SRH. These findings should be a concern for both public health professionals and political decision makers.

Mental health and the jilted generation: Using age-period-cohort analysis to assess differential trends in young people's mental health following the Great Recession and austerity in England

Those born in the United Kingdom post-1979 have been described as a ‘jilted generation’, materially disadvantaged by economic and social policy; however, it is unclear whether this resulted in their experiencing poorer mental health than previous cohorts. Following the 2008 recession, UK austerity reforms associated with worsening mental health also disproportionately impacted those of younger working-age. This study aimed to identify any historic cohort changes in population mental health, and whether austerity widened generational inequalities. Repeat cross-sectional data from the Health Survey for England (1991–2014) were used to calculate prevalence of psychopathology for those of younger and older working-age (16–30 and 31–64 years) and retirement-age (65+ years), measured by General Health Questionnaire-12 (GHQ) score ≥ 4 (caseness). Descriptive age-period-cohort analysis was performed for 15-year birth cohorts, including the jilted generation (born 1976-90). Logistic regression tested differences in outcome between groups.

Age-specific GHQ caseness between successive birth cohorts did not significantly change for men, and significantly improved between 2.8% (95% CI 0.1%–5.5%) and 4.4% (95% CI 2.2%–6.7%) for women. Secondary analysis adjusting for education partially explained this improvement. Following the recession, GHQ caseness worsened in men of younger and older working-age by 3.7% (95% CI 1.2%–6.2%) and 3.5% (95% CI 2.1%–5.0%) respectively before returning to baseline during austerity. All women experienced non-significant increases post-recession, but trends diverged during austerity with caseness worsening by 2.3% (95% CI 1.0%–3.6%) for older working-age women versus 3.7% (95% CI 1.3%–6.2%) for younger working-age women. Those of retirement-age experienced little change throughout. In summary, mental health has historically improved between successive cohorts, including for the jilted generation. However, the 2008 recession and subsequent austerity could be most impacting those of younger working-age, particularly women, to create a new cohort effect. Policymakers should consider the differential impact economic and social policy may have across society by age.

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Mental health in England has consistently improved from generation to generation.

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These generational improvements have been most marked for women.

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Following the onset of austerity young women experienced worsening mental health.

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Mental health of over 65s was relatively protected during recession and austerity.

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Austerity policies have potential to widen generational inequality in mental health.

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.

Welfare states, the Great Recession and health: Trends in educational inequalities in self-reported health in 26 European countries

BACKGROUND

Although socioeconomic inequalities in health have long been observed in Europe, few studies have analysed their recent patterning. In this paper, we examined how educational inequalities in self-reported health have evolved in different European countries and welfare state regimes over the last decade, which was troubled by the Great Recession.

METHODS

We used cross-sectional data from the EU-SILC survey for adults from 26 European countries, from 2005 to 2014 (n = 3,030,595). We first calculated education-related absolute (SII) and relative (RII) inequalities in poor self-reported health by country-year, adjusting for age, sex, and EU-SILC survey weights. We then regressed the year- and country-specific RII and SII on a yearly time trend, globally and by welfare regime, adjusting for country fixed effects. We further adjusted the analysis for the economic cycle using GDP growth, unemployment, and income inequality.

RESULTS

Overall, absolute inequalities persisted and relative inequalities slightly widened (betaRII = 0.0313, p<0.05). There were substantial differences by welfare regime: Anglo-Saxon countries experienced the largest increase in absolute inequalities (betaSII = 0.0032, p<0.05), followed by Bismarkian countries (betaSII = 0.0024, p<0.001), while they reduced in Post-Communist countries (betaSII = -0.0022, p<0.001). Post-Communist countries also experienced a widening in relative inequalities (betaRII = 0.1112, p<0.001), which were found to be stable elsewhere. Adjustment for income inequality only explained such trend in Anglo-Saxon countries.

CONCLUSIONS

Educational inequalities in health have overall persisted across European countries over the last decade. However, there is considerable variation across welfare regimes, possibly related to underpinning social safety nets and to austerity measures implemented during this 10-year period.

Health Impacts of the Great Recession: A Critical Review

The severity, sudden onset, and multipronged nature of the Great Recession (2007-2009) provided a unique opportunity to examine the health impacts of macroeconomic downturn. We comprehensively review empirical literature examining the relationship between the Recession and mental and physical health outcomes in developed nations. Overall, studies reported detrimental impacts of the Recession on health, particularly mental health. Macro- and individual-level employment- and housing-related sequelae of the Recession were associated with declining fertility and self-rated health, and increasing morbidity, psychological distress, and suicide, although traffic fatalities and population-level alcohol consumption declined. Health impacts were stronger among men and racial/ethnic minorities. Importantly, strong social safety nets in some European countries appear to have buffered those populations from negative health effects. This literature, however, still faces multiple methodological challenges, and more time may be needed to observe the Recession's full health impact. We conclude with suggestions for future work in this field.

The impact of the Great Recession on mental health and its inequalities: the case of a Southern European region, 1997-2013

Background

Numerous studies have shown that macroeconomic changes have a great influence on health, prompting different concerns in recent literature about the effects of the current recession. The objetive of the study was to assess the changes in the mental health of the working-age population in the Basque Country (Spain) and its social inequalities following the onset of the 2008 recession, with special focus on the role of unemployment.

Methods

Repeated cross-sectional study on the population aged 16–64, using four Basque Health Surveys (1997–2013). Age-adjusted prevalences of poor mental health and incremental prevalence ratios (working status and social class adjusted) between years were calculated. Absolute/relative measures of social inequalities were also calculated.

Results

From 2008, there was a clear deterioration in the mental health, especially among men. Neither changes in employment status nor social class accounted for these changes. In men, the deterioration affected all working status categories, except the retired but significant changes occurred only among the employed. In women, poor mental health significantly increased among the unemployed. Students were also especially affected. Relative inequalities increased only in men.

Conclusions

The Great Recession is being accompanied by adverse effects on mental health, which cannot be fully explained by the increase of unemployment. Public health professionals should closely monitor the medium and long-term effects of the crisis as these may emerge only many years after the onset of recessions.