Trends in health inequalities in 27 European countries

The contribution of avoidable mortality to life expectancy differences and lifespan disparities in the European Union: a population-based study

Background

Twenty years after the 2004 European Union (EU) enlargement, life expectancy differences between established (EMS) and new member states (NMS) remain large. Contributing to this gap are deaths that can be avoided through preventive services or adequate medical treatment. We estimate the impact of reducing avoidable mortality on life expectancy and lifespan disparities in the enlarged EU.

Methods

Using World Health Organization mortality database data, we analysed the potential of reducing avoidable mortality, as defined by Eurostat and the Organisation for Economic Cooperation and Development, to close the mortality gap between NMS and EMS. We decomposed the changes in life expectancy and lifespan disparity by age and cause using linear integral decomposition.

Findings

Averting all avoidable deaths across the EU from 2005 to 2019 would decrease the average life expectancy gap from 5.8 to 2.4 years in men and 3.3-2 years in women and eliminate the lifespan disparity gap. Had NMS achieved the average EMS avoidable mortality rates during the same period, the average life expectancy gap would have been reduced to 1.8 years in men and 1.6 years in women, and the lifespan disparities gap would have been reversed. Avoidable circulatory and injury-related deaths in middle and older age drove the observed mortality changes.

Interpretation

Our results suggest that the gap in life expectancy and lifespan disparity across the EU could be reduced by strengthening health systems and investing in averting circulatory and injury-related deaths in middle and older age in NMS.

Funding

None.

Perspectives of cerebral palsy experts on access to health care in Europe

AIM

To explore the perspectives of cerebral palsy (CP) experts on access to healthcare and an analysis of socioeconomic and environmental determinants impacting young individuals with CP in Europe.

METHOD

Cross-sectional survey designed by a convenience multi-disciplinary panel of invited experts and completed by clinicians, researchers and opinions leaders in the field of CP.

RESULTS

Fifty-eight experts (response rate 85 %) from 39 regions in 26 European countries completed the survey. All countries provide care and financing through public systems. Long waiting lists were reported (mean 3 mo, range 1-12 mo), depending on type of specialist care and place of residence. Although diagnostic and therapeutic services were available, access within countries/regions were unevenly distributed, with children receiving better care than adults. Most experts reported a lack of transition services, although improvement is expected (62 % of responses). Hip and malnutrition surveillance, as well as educational and recreational activities were variably available. Public transportation, accessible roads and pavements, and urban green spaces for persons with disabilities were more available in larger cities. Overall, only 57 % of responders felt that most patients had adequate access to healthcare.

CONCLUSION

The survey of CP experts' perspectives from the majority of European countries indicates discrepancies in the availability and accessibility of healthcare needed by people with CP and nonuniform implementation of policies across Europe.

Health and income inequality: a comparative analysis of USA and Italy

Introduction

Socio-economic background is often an important determinant for health with low income households having higher exposure to risk factors and diminished access to healthcare and prevention, in a way that is specific to each country.

Methods

Here, we perform a comparative analysis of the relations between health and income inequality in two developed countries, USA and Italy, using longitudinal and cross-sectional data from surveys.

Results and discussion

We show that the income class determines the incidence of chronic pathologies, associated risk-factors and psychiatric conditions, but find striking differences in health inequality between the two countries. We then focus our attention on a fraction of very disadvantaged households in the USA whose income in persistently at the bottom of the distribution over a span of 20 years and which is shown to display particularly dire health conditions. Low income people in the USA also display comorbidity patterns that are not found in higher income people, while in Italy income appears to be less relevant for comorbidity. Taken together our findings illustrate how differences in lifestyle and the healthcare systems affect health inequality.

Citizens' perspectives on healthy weight approaches in low SEP neighborhoods: a qualitative study from a systems perspective

BACKGROUND

The physical and the social environment are important predictors of healthy weight, especially in low socioeconomic position (SEP) neighborhoods. Many Dutch municipalities have implemented a healthy weight approach (HWA). Yet, there is room for improvement. This system science study examined what influences the utilization of HWA facilities and activities, and what aspects can help to achieve a desired systems change (also called leverage point themes (LPTs)) in the HWA system as perceived by citizens living in low SEP neighborhoods.

METHOD

All research phases were performed with four citizens co-researchers. Forty-seven citizens living in low SEP neighborhoods were semi-structurally interviewed about the neighborhood HWA facilities and municipal HWA activities. A rapid coding qualitative analysis approach was applied per topic. The topics were citizens' healthy living description, personal circumstances, and satisfaction with foot and cycle paths, sports facilities, playgrounds, green spaces, museums and theaters, community centers, churches, healthcare, school, food supplies, contact with neighborhood, unfamiliar and/or unused activities, familiar and used activities, unavailable but desired (lacking) activities, and reaching citizens.

RESULTS

The utilization of HWA facilities and activities was influenced by the overarching themes of social cohesion, familiarity, reaching citizens, maintenance, safety, physical accessibility, financial accessibility, social accessibility, fit with personal context, and fit with the neighborhood's specific needs. Different overarching themes stood out across different facilities and activities. LPTs indicated the overarching themes needed in combination with one another for a specific activity or facility to increase utilization. For example, the LPT regarding foot and cycle paths was "accessible, safe, and maintained foot and cycle paths". The LPTs regarding familiar and used activities were "customized activities; information provision (e.g., about possibilities to join without paying); social contact, meeting others, and everyone feels included".

CONCLUSION

Conducting inclusive qualitative research from a systems perspective among citizens living in low SEP neighborhoods has contributed valuable insights into their needs. This enables practical implementation of HWAs by providing a deeper understanding of the LPTs within the HWA system. LPTs can help HWA stakeholders to further develop current HWAs toward systems approaches. Future research could study the leverage points that may contribute to LPT implementation.

Educational inequalities in deaths of despair in 14 OECD countries: a cross-sectional observational study

BACKGROUND

Deaths of despair are a key contributor to stagnating life expectancy in the USA, especially among those without a university-level education, but these findings have not been compared internationally.

METHODS

Mortality and person-year population exposure data were collected in 14 Organisation for Economic Co-operation and Development member countries and stratified by age, sex, educational attainment and cause of death. The sample included 1.4 billion person-year observations from persons aged ≥25 years between 2013 and 2019. Country-specific and sex-specific contributions of deaths of despair to: (a) the life expectancy gap at age 25 and (b) rate differences in age-standardised mortality rates between high and low educational attainment groups were calculated.

RESULTS

Eliminating deaths of despair could reduce the life expectancy gap in the USA by 1.1 years for men and 0.6 years for women was second only to Korea, where it would reduce the gap by 3.4 years for men and 2.2 years for women. In Italy, Spain and Türkiye, eliminating deaths of despair would improve life expectancy gains by less than 0.1 years for women and 0.3 years for men, closing the educational gap by <1%. Findings were robust to controls for differences in population structures.

CONCLUSIONS

Deaths of despair are a major determinant of educational inequalities in longevity in Korea and the USA, while having limited impact in Southern European countries, indicating substantial international variation and scope for improvement in high burden high-income countries.

The U-Shaped Curve of Health Inequalities Over the 20th and 21st Centuries

This article examines historical trends in health inequalities over the 20th and 21st centuries. Drawing on studies from the United States, United Kingdom, Sweden, and Western Europe, it concludes that there is evidence of a u-shaped curve in (relative) health inequalities. These trends in health inequalities broadly parallel those identified by economists with regards to the u-shaped curve of income and wealth inequalities across the 20th and 21st centuries. The article argues that-as with income inequalities-health inequalities generally decreased across the twentieth century through to the early 1980s. They then started to increase and accelerated further from 2010, particularly in the United Kingdom and the United States. The article sets out four distinct policy periods that shaped the evolution of trends in health inequalities: the Interbellum Era, 1920-1950; the Trente Glorieuse, 1950-1980; Neoliberalism, 1980-2010; and the Crisis Age, 2010-present. The u-shaped curve of health inequalities over this period suggests that social policies, health care access, and political incorporation have driven changes over time. Taking this long view of changes in health inequalities emphasizes the importance of politics and policy for future health improvement.

A growing divide: Trends in social inequalities in healthy longevity in Australia, 2001-20

This study examines two decades of change in social inequalities in life and health expectancy among older adults in Australia, one of the few countries that escaped an economic recession during the global financial crisis. We compare adults aged 45+ across three measures of individual socio-economic position-education, occupation, and household wealth-and use multistate life tables to estimate total life expectancy (TLE) and life expectancy free of limiting long-term illness (LLTI-free LE) based on 20 waves of the Household, Income and Labour Dynamics in Australia Survey (2001-20). Our findings highlight substantial social disparities in both TLE and LLTI-free LE in Australia. Grouping individuals by household wealth shows striking differentials in LLTI-free LE. We observe widening social disparities in healthy longevity over time by all three measures of socio-economic position. This diverging trend in healthy longevity is troubling against the backdrop of widening income and wealth inequalities in Australia.

Categorization of continuous covariates and complex regression models-friends or foes in intersectionality research

OBJECTIVES

To reduce health inequities, it is important to identify intersections in characteristics of individuals subject to privilege or disadvantage. Different proposals for that have recently been published. One approach (1) considers models specified with first- and all second-order effects and another (2) the stratification based on multiple covariates; both categorize continuous covariates. A simulation study was conducted in order to review both methods with regard to identification of intersections showing true differences, rate of false-positive results, and generalizability to independent data compared to an established approach (3) of backward variable elimination according to Bayesian information criterion (BE-BIC) combined with splines.

STUDY DESIGN AND SETTING

R software has been used to simulate the covariates age, sex, body mass index, education, and diabetes to examine their association with a continuous frailty score for osteoporosis using multiple linear regression. In setting 1, none of the covariates was associated with the frailty score, that is, only noise is present in the data. In setting 2, the covariates age, sex, and their interaction were associated with the frailty score, such that only females above 55 years formed an intersection associated with an increased frailty score. All approaches were compared under varying sample sizes (N = 200-3000) and signal-to-noise ratios (SNRs, 0.5-4) in 1000 replications. For model evaluation, bootstrap resampling was used. The models were fitted in internal learning data and then used to predict outcomes in the internal validation data. The mean squared error (MSE) was used for comparison and the frequency of false-positive findings calculated.

RESULTS

In setting 1, approaches 1 and 2 generated spurious effects in more than 90% of simulations across all sample sizes. In a smaller sample size, approach 3 (BE-BIC) selected 36.5% of the correct model, in larger sample size in 89.8% and always had a lower number of spurious effects. MSE in independent data was generally higher for approaches 1 and 2 when compared to 3. In setting 2, approach 1 selected most frequently the correct interaction but frequently showed spurious effects (>75%). Across all sample sizes and SNR, approach 3 generated least often spurious results and had lowest MSE in independent data.

CONCLUSION

Categorization of continuous covariates is detrimental to studies on intersectionality. Due to high and unrestricted model complexity, such approaches are prone to spurious effects and often lack interpretability. Approach 3 (BE-BIC) is considerably more robust against spurious findings, showed better generalizability to independent data, and can be used with most statistical software. For intersectionality research, we consider it most important to describe relevant differences between intersections and to avoid nonreproducible and spurious findings.

Elite class self-interest, socioeconomic inequality and U.S. population health

Class-based perspectives on the persistent social gradients in health within modern welfare states largely focus on the adverse consequences of unfettered neoliberalism and entrenched meritocratic socioeconomic selection. Namely, neoliberal-driven economic inequality has fuelled resentment and stress among lower-status groups, while these groups have become more homogeneous with regard to health behaviours and outcomes. We synthesise several sociological and historical literatures to argue that, in addition to these class-based explanations, socioeconomic inequality may contribute to persistent social gradients in health due to elite class self-interest-in particular elites' preferences for overdiagnosis, overprescription and costly high-technology medical treatments over disease prevention, and for increased tolerance for regulatory capture. We demonstrate that this self-interest provides parsimonious explanations for several contemporary trends in U.S. health inequality including (A) supply-side factors in drug-related deaths, (B) longitudinal trends in the social gradients of obesity and chronic disease mortality and (C) the immigrant health advantage. We conclude that sociological theories of elite class self-interest usefully complement theories of the psychosocial effects of neoliberalism and of meritocratic social selection while answering recent calls for research on the role advantaged groups play in generating inequalities in health, and for research that moves beyond technological determinism in health sociology.

Poor housing quality and the health of newborns and young children

This study uses linked administrative data on live births, hospital stays, and census records for children born in Hungary between 2006 and 2011 to examine the relationship between poor housing quality and the health of newborns and children aged 1-2 years. We show that poor housing quality, defined as lack of access to basic sanitation and exposure to polluting heating, is not a negligible problem even in a high-income EU country like Hungary. This is particularly the case for disadvantaged children, 20-25% of whom live in extremely poor-quality homes. Next, we provide evidence that poor housing quality is strongly associated with lower health at birth and a higher number of days spent in inpatient care at the age of 1-2 years. These results indicate that lack of access to basic sanitation, hygiene, and non-polluting heating and their health impacts cannot be considered as the exclusive problem for low- and middle-income countries. In high-income countries, there is also a need for public policy programs that identify those affected by poor housing quality and offer them potential solutions to reduce the adverse effects on their health.

Impact of alcohol control policy on hemorrhagic and ischemic stroke mortality rates in Lithuania: An interrupted time series analysis

Given the causal impact of alcohol use on stroke, alcohol control policies should presumably reduce stroke mortality rates. This study aimed to test the impact of three major Lithuanian alcohol control policies implemented in 2008, 2017 and 2018 on sex- and stroke subtype-specific mortality rates, among individuals 15+ years-old. Joinpoint regression analyses were performed for each sex- and stroke subtype-specific group to identify timepoints corresponding with significant changes in mortality rate trends. To estimate the impact of each policy, interrupted time series analyses using a generalized additive mixed model were performed on monthly sex- and stroke subtype-specific age-standardized mortality rates from January 2001-December 2018. Significant average annual percent decreases were found for all sex- and stroke subtype-specific mortality rate trends. The alcohol control policies were most impactful on ischemic stroke mortality rates among women. The 2008 policy was followed by a positive level change of 4,498 ischemic stroke deaths per 100,000 women and a negative monthly slope change of -0.048 ischemic stroke deaths per 100,000 women. Both the 2017 and 2018 policy enactment timepoints coincided with a significant negative level change for ischemic stroke mortality rates among women, at -0.901 deaths and -1.431 deaths per 100,000 population, respectively. Hemorrhagic stroke mortality among men was not affected by any of the policies, and hemorrhagic stroke mortality among women and ischemic stroke mortality among men were only associated with the 2008 policy. Our study findings suggest that the impact of alcohol control policies on stroke mortality may vary by sex and subtype.

Health literacy profiles of final year pre-service teachers in two initial education programs compared with the general population: A cross-sectional study using the Health Literacy Questionnaire

ISSUE ADDRESSED

Health literacy (HL) can be developed throughout the lifespan starting from the early years highlighting that educational institutions, curriculum and teachers are powerful settings, places and people that can foster HL in youth. Current research shows that Australian teachers need more support to teach health education that promotes students' HL, with limited research focusing on pre-service teachers (PST). This study aims to identify the HL strengths and challenges of PST at one Australian university across two initial teacher education programs (HPE and primary) and compare their health literacy profiles with that of the Australian general population.

METHODS

The Health Literacy Questionnaire (HLQ) was administered in March and April, 2022 to measure HL in Australian PST. The research setting was a university in Sydney, Australia, with two of the University's undergraduate initial teacher education (ITE) programs (Health and Physical Education [HPE] and Primary). Of the 24 PST in the HPE cohort, 23 consented. Of the 70 PST in the Primary cohort, 34 consented. The results were compared with Australian Bureau of Statistics data.

RESULTS

The participants' median age was 22.3(4.3) years (SD), age ranged from 20 to 54 years, with 36% of participants under the age of 22 years. When comparing the PST data with the general population there were two significant differences: (1) PST scored significantly higher than the general population for Domain 4 (Social support for health, 3.41 vs. 3.19; p < 0.001; d = 0.57); and (2) the PST scored significantly lower for Domain 9 (Understand health information enough to know what to do, 4.02 vs. 4.27; p < 0.01; d = -0.43). In addition, we found that primary PST had significantly lower scores for domains 5-9 (demonstrative of interactive and critical HL), compared with the general Australian population.

CONCLUSIONS

Findings show that PST strengths are that they perceive that there they are able to access social support for health, however the PST find it more difficult to analyse and apply health information, compared with the general Australian population. SO WHAT?: Further understanding of health literacy profiles of Australian PST should influence the design of ITE programs and its health education curricular to ensure that PST are able to further develop their HL understandings and capabilities.

Can countries shape the association between cumulative adversity and old-age health?

Introduction

The present study examined the relationships of Lifetime Cumulative Adversity (LCA) and country inequalities, as well as the interactions between them, with the self-rated health (SRH) in old age.

Methods

Using data from the Survey of Health, Aging and Retirement in Europe (SHARE), the study regressed self-rated health on Lifetime Cumulative Adversity and country-level inequality indices across European countries in two points in time. The analysis also considered adversity-inequality interactions, controlling for confounders. The sample was comprised of 28,789 adults, aged 50 to 80, from 25 European countries and Israel.

Results

The findings pointed out that LCA is negatively associated with SRH, but democracy and welfare regimes modify the ill effects of LCA on health. These effects are reduced as the LCA level increases. The effects remained significant over two measurement time-points over three years, showing that life-course trajectories may be shaped by individual accumulated risk exposure to stress, along with inequalities at the society level.

Discussion

The study provides constructive and important guidance for decreasing the harmful effect of lifetime adversity in old age, by the modification of the country's welfare policies.

Utilization of Health Care Services and Accessibility Challenges among Adults Aged 50+ before and after Austerity Measures across 27 European Countries: Secular Trends in the SHARE Study from 2004/05 to 2019/20

This study aimed to assess and compare the utilization of preventive and other health services and the cost or availability in different regions of Europe, before and during the economic crisis. The data used in the study were obtained from Wave 8 of the Survey of Health, Ageing and Retirement in Europe (2019/2020) and Wave 1 data (2004/5), with a sample size of 46,106 individuals aged ≥50 across 27 countries, adjusted to represent a population of N = 180,886,962. Composite scores were derived for preventive health services utilization (PHSU), health care services utilization (HCSU), and lack of accessibility/availability in health care services (LAAHCS). Southern countries had lower utilization of preventive services and higher utilization of other health services compared to northern countries, with a significant lack of convergence. Moreover, the utilization of preventive health services decreased, whereas the utilization of secondary care services increased during the austerity period. Southern European countries had a significantly higher prevalence of lack of accessibility. An increase in the frequency of lack of accessibility/availability in health care services was observed from 2004/5 to 2019/20. In conclusion, our findings suggest that health inequalities increase during crisis periods. Therefore, policy interventions could prioritize accessibility and expand health coverage and prevention services.

Health inequalities in childhood diseases: temporal trends in the inter-crisis period

BACKGROUND

Since 2008, children in Catalonia (Spain) have suffered a period of great economic deprivation. This situation has generated broad-ranging health inequalities in a variety of diseases. It is not known how these inequalities have changed over time. The aim of the present study is to determine trends in inequalities over this period in ten relevant diseases in children according to sex and age.

METHODS

A retrospective cross-sectional population-based study of all children under 15 years old resident in Catalonia during the 2014-2021 period (over 1.2 million children/year) and of their diagnoses registered by the Catalan Health System. Health inequalities were estimated by calculating the relative index of inequality and time trends using logistic regression models. Interaction terms were added to test for the effects of sex on time trends.

RESULTS

Increasing significant temporal trends in inequalities were shown for both sexes in almost all the diseases or adverse events studied (asthma, injuries, poisoning, congenital anomalies, overweight and obesity), in mood disorders in boys, and in adverse birth outcomes in girls. Adjustment and anxiety and mood disorders in girls showed a decreasing temporal trend in inequalities. More than half of the diseases and adverse events studied experienced significant annual increases in inequality. Poisoning stood out with an average annual increase of 8.65% [4.30, 13.00], p ≤ 0.001 in boys and 8.64% [5.76, 11.52], p ≤ 0.001) in girls, followed by obesity with increases of 5.52% [4.15, 6.90], p =  < 0.001 in boys and 4.89% [4.26, 5.51], p ≤ 0.001) in girls.

CONCLUSIONS

Our results suggest that inequalities persist and have increased since 2014. Policy makers should turn their attention to how interventions to reduce Health inequalities are designed, and who benefits from them.

Socioeconomic inequalities in avoidable mortality in Italy: results from a nationwide longitudinal cohort

BACKGROUND

Disparities in avoidable mortality have never been evaluated in Italy at the national level. The present study aimed to assess the association between socioeconomic status and avoidable mortality.

METHODS

The nationwide closed cohort of the 2011 Census of Population and Housing was followed up for 2012-2019 mortality. Outcomes of preventable and of treatable mortality were separately evaluated among people aged 30-74. Education level (elementary school or less, middle school, high school diploma, university degree or more) and residence macro area (North-West, North-East, Center, South-Islands) were the exposures, for which adjusted mortality rate ratios (MRRs) were calculated through multivariate quasi-Poisson regression models, adjusted for age at death. Relative index of inequalities was estimated for preventable, treatable, and non-avoidable mortality and for some specific causes.

RESULTS

The cohort consisted of 35,708,459 residents (48.8% men, 17.5% aged 65-74), 34% with a high school diploma, 33.5% living in the South-Islands; 1,127,760 deaths were observed, of which 65.2% for avoidable causes (40.4% preventable and 24.9% treatable). Inverse trends between education level and mortality were observed for all causes; comparing the least with the most educated groups, a strong association was observed for preventable (males MRR = 2.39; females MRR = 1.65) and for treatable causes of death (males MRR = 1.93; females MRR = 1.45). The greatest inequalities were observed for HIV/AIDS and alcohol-related diseases (both sexes), drug-related diseases and tuberculosis (males), and diabetes mellitus, cardiovascular diseases, and renal failure (females). Excess risk of preventable and of treatable mortality were observed for the South-Islands.

CONCLUSIONS

Socioeconomic inequalities in mortality persist in Italy, with an extremely varied response to policies at the regional level, representing a possible missed gain in health and suggesting a reassessment of priorities and definition of health targets.

Subnational inequalities in years of life lost and associations with socioeconomic factors in pre-pandemic Europe, 2009-19: an ecological study

BACKGROUND

Health inequalities have been associated with shorter lifespans. We aimed to investigate subnational geographical inequalities in all-cause years of life lost (YLLs) and the association between YLLs and socioeconomic factors, such as household income, risk of poverty, and educational attainment, in countries within the European Economic Area (EEA) before the COVID-19 pandemic.

METHODS

In this ecological study, we extracted demographic and socioeconomic data from Eurostat for 1390 small regions and 285 basic regions for 32 countries in the EEA, which was complemented by a time-trend analysis of subnational regions within the EEA. Age-standardised YLL rates per 100 000 population were estimated from 2009 to 2019 based on methods from the Global Burden of Disease study. Geographical inequalities were assessed using the Gini coefficient and slope index of inequality. Socioeconomic inequalities were assessed by investigating the association between socioeconomic factors (educational attainment, household income, and risk of poverty) and YLLs in 2019 using negative binomial mixed models.

FINDINGS

Between Jan 1, 2009, and Dec 31, 2019, YLLs lowered in almost all subnational regions. The Gini coefficient of YLLs across all EEA regions was 14·2% (95% CI 13·6-14·8) for females and 17·0% (16·3 to 17·7) for males. Relative geographical inequalities in YLLs among women were highest in the UK (Gini coefficient 11·2% [95% CI 10·1-12·3]) and among men were highest in Belgium (10·8% [9·3-12·2]). The highest YLLs were observed in subnational regions with the lowest levels of educational attainment (incident rate ratio [IRR] 1·19 [1·13-1·26] for females; 1·22 [1·16-1·28] for males), household income (1·35 [95% CI 1·19-1·53]), and the highest poverty risk (1·25 [1·18-1·34]).

INTERPRETATION

Differences in YLLs remain within, and between, EEA countries and are associated with socioeconomic factors. This evidence can assist stakeholders in addressing health inequities to improve overall disease burden within the EEA.

FUNDING

Research Council of Norway; Development, and Innovation Fund of Hungary; Norwegian Institute of Public Medicine; and COST Action 18218 European Burden of Disease Network.

Social determinants of health for children with cerebral palsy and their families

Social determinants of health (SDH) influence health and social outcomes in positive and negative ways. Understanding the impact of SDH on children with cerebral palsy (CP) is essential to improve health equity, optimize health outcomes, and support children with CP and their families to thrive in society. In this narrative review, we summarize the landscape of SDH impacting children with CP and their families worldwide. In high-income countries, children from poorer neighbourhoods are more likely to have severe comorbidities, present with spastic bilateral CP, and report lower frequency of participation in community activities. In low- and middle-income countries, socioeconomic disadvantage is associated with increased risk of malnutrition, living in poorer housing conditions, not having access to proper sanitation, and living below the poverty line. Low maternal education is associated with increased likelihood of the child with CP experiencing increased severity of gross motor and bimanual functioning challenges, and poorer academic performance. Lower parental education is also associated with reduced child autonomy. On the other hand, higher parental income is a protective factor, associated with greater diversity of participation in day-to-day activities. A better physical environment and better social support are associated with higher participation in daily activities. Clinicians, researchers, and the community should be aware of these key challenges and opportunities. Then adopt a range of approaches that target adverse SDH/social needs and foster positive SDH in the clinical setting. WHAT THIS PAPER ADDS: Understanding how social determinants of health influence health and social outcomes is a critical step towards improving health equity and outcomes. Approaches are required that target the impact of adverse SDH on access to health care for children with cerebral palsy and that work towards ensuring equity of access for all.

Area-based social inequalities in adult mortality: construction of French deprivation-specific life tables for the period 2016-2018

Background

In order to tackle social inequalities in mortality, it is crucial to quantify them. We produced French deprivation-specific life tables for the period 2016-2018 to measure the social gradient in adult all-cause mortality.

Methods

Data from the Permanent Demographic Sample (EDP) were used to provide population and death counts by age, sex and deprivation quintile. The European Deprivation Index (EDI), applied at a sub-municipal geographical level, was used as an ecological measure of deprivation. Smoothed mortality rates were calculated using a one-dimensional Poisson counts smoothing method with P-Splines. We calculated life expectancies by age, sex and deprivation quintile as well as interquartile mortality rate ratios (MRR).

Results

At the age of 30, the difference in life expectancy between the most and least deprived groups amounted to 3.9 years in males and 2.2 years in females. In terms of relative mortality inequalities, the largest gaps between extreme deprivation groups were around age 55 for males (MRR = 2.22 [2.0; 2.46] at age 55), around age 50 in females (MRR = 1.77 [1.48; 2.1] at age 47), and there was a decrease or disappearance of the gaps in the very older adults.

Conclusions

There is a strong social gradient in all-cause mortality in France for males and females. The methodology for building these deprivation-specific life tables is reproducible and could be used to monitor its development. The tables produced should contribute to improving studies on net survival inequalities for specific diseases by taking into account the pre-existing social gradient in all-cause mortality.

Epigenetics of the far northern Yakutian population

BACKGROUND

Yakuts are one of the indigenous populations of the subarctic and arctic territories of Siberia characterized by a continental subarctic climate with severe winters, with the regular January average temperature in the regional capital city of Yakutsk dipping below - 40 °C. The epigenetic mechanisms of adaptation to such ecologies and environments and, in particular, epigenetic age acceleration in the local population have not been studied before.

RESULTS

This work reports the first epigenetic study of the Yakutian population using whole-blood DNA methylation data, supplemented with the comparison to the residents of Central Russia. Gene set enrichment analysis revealed, among others, geographic region-specific differentially methylated regions associated with adaptation to climatic conditions (water consumption, digestive system regulation), aging processes (actin filament activity, cell fate), and both of them (channel activity, regulation of steroid and corticosteroid hormone secretion). Further, it is demonstrated that the epigenetic age acceleration of the Yakutian representatives is significantly higher than that of Central Russia counterparts. For both geographic regions, we showed that epigenetically males age faster than females, whereas no significant sex differences were found between the regions.

CONCLUSIONS

We performed the first study of the epigenetic data of the Yakutia cohort, paying special attention to region-specific features, aging processes, age acceleration, and sex specificity.

Educational patterns of health behaviors and body mass index: A longitudinal multiple correspondence analysis of a middle-aged general population, 2007-2016

Social differences in body mass index and health behaviors are a major public health challenge. The uneven distribution of unhealthy body mass index and of unhealthy behaviors such as smoking, physical inactivity, and harmful alcohol consumption has been shown to mediate social inequalities in chronic diseases. While differential exposures to these health variables have been investigated, the extent to which they vary over the lifetime in the same population and their relationship with level of education is not well understood. This study examines patterns of body mass index and multiple health behaviors (smoking, physical activity and alcohol consumption), and investigates their association with education level among adults living in Northern Norway. It presents findings from a longitudinal multiple correspondence analysis of the Tromsø Study. Longitudinal data from 8,906 adults aged 32-87 in 2007-2008, with repeated measurements in 2015-2016 were retrieved from the survey's sixth and seventh waves. The findings suggest that most in the study population remained in the same categories of body mass index and the three health behaviors at the follow-up, with a clear educational gradient in healthy patterns. That is, both healthy changes and maintained healthy categories were associated with the highest education levels. Estimating differential exposures to mediators of health inequalities could benefit policy priority setting for tackling inequalities in health.

Socioeconomic inequalities in self-rated health in Japan, 32 European countries and the United States: an international comparative study

AIMS

Japan is known as a country with low self-rated health despite high life expectancy. We compared socioeconomic inequalities in self-rated health in Japan with those in 32 European countries and the US using nationally representative samples.

METHODS

We analysed individual data from the Comprehensive Survey of Living Conditions (Japan), the European Union Statistics on Income and Living Conditions, and the Behavioral Risk Factor Surveillance System (US) in 2016. We used ordered logistic regression models with four ordinal categories of self-rated health as an outcome, and educational level or occupational class as independent variables, controlling for age.

RESULTS

In Japan, about half the population perceived their health as 'fair', which was much higher than in Europe (≈20-40%). The odds ratios of lower self-rated health among less educated men compared with more educated were 1.72 (95% confidence interval (CI) 1.61-1.85) in Japan, and ranged from 1.67 to 4.74 in Europe (pooled; 2.10 (95% CI 2.01-2.20)), and 6.65 (95% CI 6.22-7.12) in the US. The odds ratios of lower self-rated health among less educated women were 1.79 (95% CI 1.65-1.95) in Japan, and ranged from 1.89 to 5.30 in Europe (pooled; 2.43 (95% CI 2.33-2.54)), and 8.82 (95% CI 8.29-9.38) in the US. Socioeconomic inequalities were large when self-rated health was low for European countries, but Japan and the US did not follow the pattern.

CONCLUSIONS

Japan has similar socioeconomic gradient patterns to European countries for self-rated health, and our findings revealed smaller socioeconomic inequalities in self-rated health in Japan compared with those in western countries.

Trends in cause-specific mortality: deaths of despair in Spain, 1980-2019

BACKGROUND

Research from various countries has shown increases in alcohol- and drug-related deaths and suicide, known as 'deaths of despair' over recent decades, particularly among low-educated middle-aged individuals. However, little is known about trends in death-of-despair causes in Spain. Therefore, we aim to descriptively examine this among 25-64-year-olds from 1980 to 2019 and by educational attainment for the years 2017-19.

METHODS

We obtained mortality and population data from the National Institute of Statistics to estimate age-standardized mortality rates and assess educational inequalities using the relative index of inequality (RII).

RESULTS

Deaths of despair as a share of total mortality slightly increased from 2000 onwards, particularly among 25-64-year-old men (from 9 to 10%). Only alcohol-related mortality declined relatively more since 1980 compared with all-cause mortality. Regarding educational differences, low-educated men presented higher mortality rates in all death-of-despair causes (alcohol-related: RII 3.54 (95% CI: 2.21-5.66); drug-related: RII 3.49 (95% CI: 1.80-6.77); suicide: RII 1.97 (95% CI: 1.49-2.61)). Women noteworthy differences were only observed for alcohol-related (RII 3.50 (95% CI: 2.13-5.75)).

CONCLUSIONS

Findings suggest an increasing proportion of deaths of despair among 25-64-year-olds since 2000, particularly among men. Public health policies are needed to reduce and prevent these premature and preventable causes of mortality.

Segmenting citizens according to their self-sufficiency: A tool for local government

Identifying subgroups of citizens with varying levels of self-sufficiency in a large local or regional population provides local government with essential input for providing matching services and well-grounded spending of health and well-being expenditures. This paper identifies self-sufficiency levels of citizens by segmenting a broad adult population. We used data from a citizen survey based on a randomly selected response group containing questions on a wide range of topics, including finances, health and living conditions, and complemented these data with registration data, including information on housing type and household composition. We conducted a latent class cluster analysis using six indicators: perception of making ends meet, perceived health, quality of life, self-efficacy, access to socialsupport and social network. High scores on the indicators translate to high levels of self-sufficiency. We used a biased-adjusted, three-step approach to characterise the segments. Six meaningful segments were identified and labelled as 'highly self-sufficient,' 'self-sufficient - medium access to social support,' 'self-sufficient - medium self-efficacy,' 'moderately self-sufficient - low self-efficacy & high social network,' 'moderately self-sufficient - low access to social support/social network & high perceived health' and 'not self-sufficient.' At a macro level, perception of making ends meet and quality of life have discriminating value in assessing self-sufficiency. For a more detailed differentiation between groups with similar levels of self-sufficiency, perceived health, self-efficacy, access to socialsupport, and social network are valuable indicators. Overall, this study introduces a comprehensive tool to assess self-sufficiency in larger groups of citizens by using a parsimonious number of indicators. Local and regional governments can apply this tool to effectively assess the self-sufficiency levels of their population and signal potentially vulnerable groups. In this way, the tool makes the identification of self-sufficiency levels of larger populations more feasible and more efficient and can be widely adopted in different contexts.

A holistic model of health inequalities for health policy and state administration: a case study in the regions of the Czech Republic

BACKGROUND

Health inequities exist within and between societies at different hierarchical levels. Despite overall improvements in health status in European Union countries, disparities persist among socially, economically, and societally disadvantaged individuals. This study aims to develop a holistic model of health determinants, examining the complex relationship between various determinants of health inequalities and their association with health condition.

METHODS

Health inequalities and conditions were assessed at the territorial level of Local Administrative Units (LAU1) in the Czech Republic. A dataset of 57 indicators was created, categorized into seven determinants of health and one health condition category. The necessary data were obtained from publicly available databases. Comparisons were made between 2001-2003 and 2016-2019. Various methods were employed, including composite indicator creation, correlation analysis, the Wilcoxon test, aggregate index calculation, cluster analysis, and data visualization using the LISA method.

RESULTS

The correlation matrix revealed strong relationships between health inequality categories in both periods. The most significant associations were observed between Economic status and social protection and Education in the first period. However, dependencies weakened in the later period, approaching values of approximately 0.50. The Wilcoxon test confirmed variations in determinant values over time, except for three specific determinants. Data visualization identified persistently adverse or worsening health inequalities in specific LAU1, focusing on categories such as Economic status and social protection, Education, Demographic situation, Environmental status, Individual living status, and Road safety and crime. The health condition indices showed no significant change over time, while the aggregate index of health inequalities improved with widened differences.

CONCLUSION

Spatial inequalities in health persist in the Czech Republic, influenced by economic, social, demographic, and environmental factors, as well as local healthcare accessibility. Both inner and outer peripheries exhibit poor health outcomes, challenging the assumption that urban areas fare better. The combination of poverty and vulnerabilities exacerbates these inequalities. Despite the low rates of social exclusion and poverty, regional health inequalities persist in the long term. Effectively addressing health inequalities requires interdisciplinary collaboration and evidence-based policy interventions. Efforts should focus on creating supportive social and physical environments, strengthening the healthcare system, and fostering cooperation with non-medical disciplines.

Educational disparities in disability-free life expectancy across Europe: A focus on the East-West gaps from a gender perspective

Education plays a crucial role in shaping the health outcomes of adults. This study examines the relationship between educational attainment and health across Europe. Using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we estimate educational inequalities in disability-free life expectancy (DFLE) by gender in seven Western European (2004-2019) and three Central and Eastern European (CEE) (2010-2019) countries. We exploit a novel approach that combines the Sullivan method and multivariate life tables to calculate DFLE using SHARE data. We find that educational differences in DFLE favoring the better-educated exist in both CEE and Western European countries, but also that the differences across countries are more pronounced among the low-educated. While the absolute gaps in DFLE between low- and high-educated individuals in CEE and Western European countries are similar, the educational disparities in DFLE impose a more significant burden on the CEE populations due to their overall lower life expectancy. Educational inequalities are larger among women than among men in CEE countries, while the results for Western European countries are mixed. Our findings further highlight the important role of the institutional context in mitigating or exacerbating educational inequalities in health.

Age and cause-of-death contributions to educational inequalities in life expectancy and lifespan variation in a low-mortality country: A cross-sectional study of 1.67 million deaths in Spain (2016-19)

BACKGROUND

We aim to assess the age- and cause-specific contributions to differences in life expectancy and lifespan variation between the high- and low-educated groups in Spain.

METHODS

We use sex-, age-, education- and cause-specific mortality and population data for individuals aged 30 and over for 2016-19 in Spain. We estimated life expectancies, and standard deviations of the age-at-death distribution (lifespan variation), and we disentangled the contribution of age-causes of death to educational differences in both indicators.

FINDINGS

Life expectancy at age 30 was higher for high-educated groups compared to low-educated groups, 5.5 years for males and 3.0 years for females. Lifespan variation was higher for low-educated groups compared to high-educated groups, 2.9 years for males and 2.2 years for females. The main contributors to the life expectancy gaps in males were lung cancer (0.58 years) and ischaemic heart diseases (0.42 years), and in females were other cardiovascular causes (0.26 years), and ischaemic heart diseases (0.22 years). The main contributors to the lifespan variation gaps were in males lung cancer (-0.25 years) and ischaemic heart diseases (-0.22 years), while in females were other neoplasms and other diseases of the nervous system.

INTERPRETATION

Whereas behavioural causes are more important in explaining educational inequalities in mortality among men, ageing-related causes of death seem more important among women. Attempts at narrowing socioeconomic gaps in mortality may benefit from applying gender-specific preventive policy measures.

Health inequalities in post-COVID-19 outcomes among adults aged 50+ in Europe: has COVID-19 exposed divide between postcommunist countries and Western Europe?

BACKGROUND

COVID-19 affected people and countries disproportionately and continues to impact the health of people. The aim is to investigate protective health and socio-geographical factors for post-COVID-19 conditions in adults aged 50 years and older in Europe.

METHODS

Using longitudinal data from the Survey of Health, Ageing and Retirement in Europe, collected from June to August 2021, protective factors against post-COVID-19 condition among 1909 respondents who self-reported a positive COVID-19 test result were investigated using multiple logistic regression models.

RESULTS

Male adults living outside of Czechia, Poland, Hungary and Slovakia (Visegrad group, V4), who received the COVID-19 vaccination, tertiary or higher education, had a healthy weight (body mass index, BMI 18.5-24.9 kg/m2) and no underlying health condition/s, showed protective effects against post-COVID-19 condition. Health inequalities associated with BMI were observed in education attainment and comorbidities, with higher BMI having lower education attainment and higher comorbidities. Health inequality was particularly evident in individuals in V4 with higher obesity prevalence and lower attainment of higher education than those living in other regions in the study.

CONCLUSION

Our study suggests that healthy weight and higher education attainment are predictors associated with a lower incidence of post-COVID-19 condition. Health inequality associated with education attainment was particularly relevant in V4. Our results highlight health inequality in which BMI was associated with comorbidities and educational attainment. To reduce obesity prevalence among older people with lower education, raising awareness about the risks of obesity and providing assistance in maintaining a healthy weight are needed.

Changes in longevity inequality by education among OECD countries before the COVID-19 pandemic

BACKGROUND

Disparities in life expectancy between socioeconomic groups are one of the main challenges for health policy, and their reduction over time is an important policy objective.

METHODS

Observational study using routinely registered data on mortality around 2011 and 2016 by sex, age, educational attainment level, and cause of death in 13 member countries of the Organization for Economic Cooperation and Development (OECD). The main outcome measures are life expectancy by education at the ages of 25 and 65 in 2011 and 2016.

RESULTS

Between 2011 and 2016, the life expectancy gap has increased by 0·2 years among men and 0·3 years among women from 13 available countries. The United States recorded one the largest increases in the absolute life expectancy gap, 1·3 years for women and 1·1 years for men respectively.

CONCLUSION

Inequality in longevity has increased in over half of the countries surveyed and starkly so in the United States in a context of deteriorating health.

TRIAL REGISTRATION

Not applicable.

Population health differences in cross-border regions within the European Union and Schengen area: a protocol for a scoping review

INTRODUCTION

Along with European integration and the harmonisation of living conditions, improvements in health have been observed over the past decades. However, sociospatial inequalities within and across member states still exist today. While drivers of these health inequalities have been widely researched on a national and regional scale, cross-border regions remain understudied. The removal of border controls within the European Union (EU) member states has facilitated economic convergence and created new opportunities, including cross-border cooperation in the healthcare systems. However, whether and how these developments have influenced the population health in the respective cross-border regions is unclear. Hence, this scoping review aims to examine the empirical literature on the changes in health outcomes over time at the population level in EU cross-border areas. Additionally, we aim to identify the type of evidence and available data sources in those studies. Finally, we will determine the research gaps in the literature.

METHODS AND ANALYSIS

We will follow the Joanna Briggs Institute methodology for this scoping review. The 'Population-Concept-Context' framework will be used to identify the eligibility criteria. A three-step search strategy will be conducted to find relevant studies in the databases of PubMed, Web of Science, Scopus and EBSCOhost (SocIndex). Additionally, we will search on websites of international governmental institutions for further reports and articles. The finalisation of the search is planned for August 2023. The extracted data from the scoping review will be presented in a tabular form. A narrative summary of the selected studies will accompany the tabulated results and describe how they answer the research questions.

ETHICS AND DISSEMINATION

We will exclusively use secondary data from available studies for our analysis. Therefore, this review does not require ethical approval. We aim to publish our findings at (inter-)national conferences and as an open-access, peer-reviewed journal article.

Inequalities in the burden of non-communicable diseases across European countries: a systematic analysis of the Global Burden of Disease 2019 study

BACKGROUND

Although overall health status in the last decades improved, health inequalities due to non-communicable diseases (NCDs) persist between and within European countries. There is a lack of studies giving insights into health inequalities related to NCDs in the European Economic Area (EEA) countries. Therefore, the aim of the present study was to quantify health inequalities in age-standardized disability adjusted life years (DALY) rates for NCDs overall and 12 specific NCDs across 30 EEA countries between 1990 and 2019. Also, this study aimed to determine trends in health inequalities and to identify those NCDs where the inequalities were the highest.

METHODS

DALY rate ratios were calculated to determine and compare inequalities between the 30 EEA countries, by sex, and across time. Annual rate of change was used to determine the differences in DALY rate between 1990 and 2019 for males and females. The Gini Coefficient (GC) was used to measure the DALY rate inequalities across countries, and the Slope Index of Inequality (SII) to estimate the average absolute difference in DALY rate across countries.

RESULTS

Between 1990 and 2019, there was an overall declining trend in DALY rate, with larger declines among females compared to males. Among EEA countries, in 2019 the highest NCD DALY rate for both sexes were observed for Bulgaria. For the whole period, the highest DALY rate ratios were identified for digestive diseases, diabetes and kidney diseases, substance use disorders, cardiovascular diseases (CVD), and chronic respiratory diseases - representing the highest inequality between countries. In 2019, the highest DALY rate ratio was found between Bulgaria and Iceland for males. GC and SII indicated that the highest inequalities were due to CVD for most of the study period - however, overall levels of inequality were low.

CONCLUSIONS

The inequality in level 1 NCDs DALYs rate is relatively low among all the countries. CVDs, digestive diseases, diabetes and kidney diseases, substance use disorders, and chronic respiratory diseases are the NCDs that exhibit higher levels of inequality across countries in the EEA. This might be mitigated by applying tailored preventive measures and enabling healthcare access.

An explorative cross-sectional analysis of mental health shame and help-seeking intentions in different lifestyles

To identify und support particular target groups for mental health prevention, we explore the links between shame and help-seeking intentions concerning mental health in different lifestyles (based on socioeconomic status as well as health-related behaviors). Lifestyles were operationalized by nine confirmatory, homogenous clusters of the sample. These clusters are based on individuals' similarities in sociodemographic aspects and health behavior. Analyses included t tests, Chi-square, ANOVA, regressions investigating in sociodemographic characteristics. Hierarchical linear models examining cross-sectional associations of shame and willingness to seek help for different lifestyles of participants of the Study of Health in Pomerania (SHIP-START-1 and SHIP-START-3, data collected 2002-2006 and 2014-2016; n = 1630). Hierarchical linear models showed small context effects for lifestyle-related associations of shame and willingness to seek help. For younger as well as male participants, lifestyles indicated different associations of shame and help-seeking intentions: Especially the lifestyles with unhealthy behaviors and high as well as low socioeconomic status resulted in higher shame being associated with low help-seeking intentions in case of mental illness. Lifestyle clusters might be a useful tool to identify marginalized groups with unhealthy behaviors, which should be addressed by interventions and prevention programs.

Decomposition of Quality-Adjusted Life Expectancy Inequalities by Mortality and Health-Related Quality of Life Dimensions

BACKGROUND

Quality-adjusted life expectancy (QALE) combines mortality risk and multidimensional health-related quality of life (HRQoL) information to measure healthy life expectancy in terms of quality-adjusted life years (QALYs). This paper estimates the relative importance of individual quality of life dimensions in explaining inequalities in QALE.

METHODS

We combined EQ-5D-5L data from the Health Survey for England for 2017 and 2018 (N = 14,412) with full population mortality data from the Office for National Statistics to calculate QALE by age, sex and deprivation quintile. The effect of HRQoL dimensions on the socioeconomic gradient in QALE was decomposed using an iterative imputation approach, in which inequalities associated with socioeconomic status in each domain were removed by imputing the response distribution of the richest quintile for all participants. Sampling uncertainty in the HRQoL data was evaluated using bootstrapping.

RESULTS

People in the least deprived fifth of neighbourhoods in England can expect to live 7.0 years longer and experience 11.1 more QALYs than those in the most deprived fifth. Inequalities in HRQoL accounted for 28.0% and 45.7% of QALE inequalities for males and females, respectively. Pain/discomfort, anxiety/depression and mobility were the most influential HRQoL domains.

DISCUSSION

Our results identify the extent of inequalities associated with socioeconomic status in lifetime health and the relative importance of inequalities by mortality and HRQoL. The contributions of the individual dimensions of HRQoL towards lifetime inequalities vary substantially by sex. Our findings can help to identify the types of interventions most likely to alleviate health inequalities, which may be different for males and females.

Inequality in quality-adjusted life expectancy by educational attainment in Norway: an observational study

BACKGROUND

Health inequalities are often assessed in terms of life expectancy or health-related quality of life (HRQoL). Few studies combine both aspects into quality-adjusted life expectancy (QALE) to derive comprehensive estimates of lifetime health inequality. Furthermore, little is known about the sensitivity of estimated inequalities in QALE to different sources of HRQoL information. This study assesses inequalities in QALE by educational attainment in Norway using two different measures of HRQoL.

METHODS

We combine full population life tables from Statistics Norway with survey data from the Tromsø study, a representative sample of the Norwegian population aged ≥ 40. HRQoL is measured using the EQ-5D-5L and EQ-VAS instruments. Life expectancy and QALE at 40 years of age are calculated using the Sullivan-Chiang method and are stratified by educational attainment. Inequality is measured as the absolute and relative gap between individuals with lowest (i.e. primary school) and highest (university degree 4 + years) educational attainment.

RESULTS

People with the highest educational attainment can expect to live longer lives (men: + 17.9% (95%CI: 16.4 to 19.5%), women: + 13.0% (95%CI: 10.6 to 15.5%)) and have higher QALE (men: + 22.4% (95%CI: 20.4 to 24.4%), women: + 18.3% (95%CI: 15.2 to 21.6%); measured using EQ-5D-5L) than individuals with primary school education. Relative inequality is larger when HRQoL is measured using EQ-VAS.

CONCLUSION

Health inequalities by educational attainment become wider when measured in QALE rather than LE, and the degree of this widening is larger when measuring HRQoL by EQ-VAS than by EQ-5D-5L. We find a sizable educational gradient in lifetime health in Norway, one of the most developed and egalitarian societies in the world. Our estimates provide a benchmark against which other countries can be compared.

Widening educational inequalities in mortality in more recent birth cohorts: a study of 14 European countries

BACKGROUND

Studies of period changes in educational inequalities in mortality have shown important changes over time. It is unknown whether a birth cohort perspective paints the same picture. We compared changes in inequalities in mortality between a period and cohort perspective and explored mortality trends among low-educated and high-educated birth cohorts.

DATA AND METHODS

In 14 European countries, we collected and harmonised all-cause and cause-specific mortality data by education for adults aged 30-79 years in the period 1971-2015. Data reordered by birth cohort cover persons born between 1902 and 1976. Using direct standardisation, we calculated comparative mortality figures and resulting absolute and relative inequalities in mortality between low educated and high educated by birth cohort, sex and period.

RESULTS

Using a period perspective, absolute educational inequalities in mortality were generally stable or declining, and relative inequalities were mostly increasing. Using a cohort perspective, both absolute and relative inequalities increased in recent birth cohorts in several countries, especially among women. Mortality generally decreased across successive birth cohorts among the high educated, driven by mortality decreases from all causes, with the strongest reductions for cardiovascular disease mortality. Among the low educated, mortality stabilised or increased in cohorts born since the 1930s in particular for mortality from cardiovascular diseases, lung cancer, chronic obstructive pulmonary disease and alcohol-related causes.

CONCLUSIONS

Trends in mortality inequalities by birth cohort are less favourable than by calendar period. In many European countries, trends among more recently born generations are worrying. If current trends among younger birth cohorts persist, educational inequalities in mortality may further widen.

Covid-19 restrictions: An opportunity to highlight the effect of neighbourhood deprivation on individuals' health-related behaviours

RATIONALE

Neighbourhood socio-economic deprivation is strongly related to health-risk behaviours, which are predictors of overall health and mortality. During the Covid-19 pandemic, individuals have been forced to spend more time within their residential areas, which might have had an effect on health-risk behaviours.

OBJECTIVE

We assess the consequences of living in a more or less deprived neighbourhood during the pandemic on individual behavioural changes in four health-related outcomes: smoking, drinking, physical activity and healthy eating. We hypothesise that the pandemic and related lock-downs had negative effects on health-related behaviours, but that this negative effect had been stronger for people living in more deprived areas. We additionally explore sex and ethnicity as sources of heterogeneity in these effects.

METHODS

We use data from four nationally representative cohort studies in England. We perform longitudinal individual and neighbourhood fixed effects estimations focusing on comparing the pre-pandemic period with the first lockdown (May 2020) period and up to one year after the outbreak of the pandemic (March 2021).

RESULTS

During the first lockdown, as compared to pre-pandemic levels, on average, people smoked more, drunk more and did more physical activity. However, compared to people in less deprived neighbourhoods, people living in more deprived areas showed a smaller increase in their levels of physical activity, consumed less fruit and vegetables and increased the number of cigarettes smoked. We additionally find that the combined effect of Covid-19 and area deprivation varies significantly by both sex and ethnicity.

CONCLUSION

Results add to evidence on the impact of the Covid-19 pandemic and associated lockdowns on health-risk behaviours, highlighting the relative contribution of the neighbourhood environment and individual characteristics. We argue that reducing levels of neighbourhood deprivation may contribute to positively influence behaviours, especially for some sub-groups of the population, leading to a reduction of social inequalities in health.

Trajectories in physical functioning by occupational class among retiring women: the significance of type of retirement and social and health-related factors

BACKGROUND

Occupational class inequalities in physical functioning and their changes after retirement are poorly understood. We examined occupational class trajectories in physical functioning 10 years before and after transition to old-age and disability retirement. We included working conditions and behavioural risk factors as covariates, given their established link to health and retirement.

METHODS

We used the Helsinki Health Study cohort data from surveys 2000-2002 to 2017, and included 3901 women, who were employed by the City of Helsinki, Finland, and retired during the follow-up. Mixed-effect growth curve models were used to examine changes in RAND-36 Physical Functioning subscale (range 0-100) 10 years before and after the retirement date by occupational class.

RESULTS

Old-age (n=3073) and disability retirees (n=828) lacked class differences in physical functioning 10 years before retirement. By retirement transition, physical functioning declined and class inequalities emerged, the predicted scores being 86.1 (95% CI 85.2 to 86.9) for higher class and 82.2 (95% CI 81.5 to 83.0) for lower class old-age retirees, and 70.3 (95% CI 67.8 to 72.9) for higher class and 62.2 (95% CI 60.4 to 63.9) for lower class disability retirees. Physical functioning declined and class inequalities slightly widened among old-age retirees after the retirement, whereas among disability retirees the decline plateaued and class inequalities narrowed over time after retirement. Physical work and body mass index somewhat attenuated the class inequalities after adjustment.

CONCLUSIONS

Class inequalities in physical functioning widened after old-age retirement and narrowed after disability retirement. The examined work and health-related factors contributed weakly to the inequalities.

A distributional approach to measuring lifespan stratification

The study of the mortality differences between groups has traditionally focused on metrics that describe average levels of mortality, for example life expectancy and standardized mortality rates. Additional insights can be gained by using statistical distance metrics to examine differences in lifespan distributions between groups. Here, we use a distance metric, the non-overlap index, to capture the sociological concept of stratification, which emphasizes the emergence of unique, hierarchically layered social strata. We show an application using Finnish registration data that cover the entire population over the period from 1996 to 2017. The results indicate that lifespan stratification and life-expectancy differences between income groups both increased substantially from 1996 to 2008; subsequently, life-expectancy differences declined, whereas stratification stagnated for men and increased for women. We conclude that the non-overlap index uncovers a unique domain of inequalities in mortality and helps to capture important between-group differences that conventional approaches miss.

How well do area-based deprivation indices identify income- and employment-deprived individuals across Great Britain today?

BACKGROUND

Area-based deprivation indices are used in many countries to target interventions and policies to populations with the greatest needs. Analyses of the Carstairs deprivation index applied to postcode sectors in 2001 identified that less than half of all deprived individuals lived in the most deprived areas.

OBJECTIVE

This article examines the specificity and sensitivity of deprivation indices across Great Britain in identifying individuals claiming income- and employment-related social security benefits.

STUDY DESIGN

This was a descriptive analysis of cross-sectional administrative data.

METHODS

The data sets for the 2020 Scottish Index of Multiple Deprivation, Scottish Income and Employment Index, the 2019 English Index of Multiple Deprivation and the 2019 Welsh Index of Multiple Deprivation were obtained. For each data set, small areas were ranked by increasing overall deprivation, and the cumulative proportions of individuals who were income and employment deprived were calculated. Receiver operating characteristic curves were plotted to show the sensitivity and specificity of each index, and the percentages of income- and employment-deprived individuals captured at different overall deprivation thresholds were calculated.

RESULTS

Across all indices, the sensitivity and specificity for detecting income- and employment-deprived individuals were low, with less than half living in the most deprived 20% of areas. Between 55% and 62% of income-deprived people and between 56% and 63% of employment-deprived people were missed across the indices at the 20% deprivation threshold. The sensitivity and specificity were slightly higher for income deprivation than employment deprivation across indices and slightly higher for the Scottish Index of Multiple Deprivation and Scottish Income and Employment Index than for the English Index of Multiple Deprivation and Welsh Index of Multiple Deprivation.

CONCLUSION

Area-based deprivation measures in Great Britain have limited sensitivity and specificity for identifying individuals who are income or employment deprived. Place-based policies and interventions are unlikely to be effective at reducing inequalities as a result. Creation of individually linked data sets and interventions that recognise the social and economic relationships between social groups are likely to be more effective.

Trends in Health Behavior of Polish Women in 1986-2021: The Importance of Socioeconomic Status

In the last 35 years Poland has undergone a series of fundamental economic, social, and biological transformations. With the transition from a centrally planned to a free-market economy, a period of economic and social transformation, Poland's accession to the European Union, and the COVID-19 coronavirus pandemic, living conditions in the country have seen dramatic changes. The aim of this study was to assess whether there were changes in the basic health behaviors of Polish women, and if so, in what directions and with what strength, and whether there were differences in these changes depending on the socioeconomic status. Information on basic lifestyle factors (drinking alcohol, smoking, coffee drinking, and physical activity) and socioeconomic status (level of education, Gini coefficient, Gender Inequality Index, women total employment, employed women being in managerial positions, women among scientists) of 5806 women aged 40-50 years were analyzed. During the 1986-2021 period, based on the same methodology, team of technicians and research tools, six birth cohorts of women were examined in 1986, 1991, 1996, 2006, 2019 and 2021. Highly statistically significant changes were found in the frequencies of declared health behaviors from 1986-2021, according to the order of significance in coffee and alcohol consumption, physical activity levels, and smoking and smoking intensity. In subsequent cohorts, there were fewer and fewer women who did not drink coffee and alcohol, while more drank more than two cups of coffee a day and drank alcohol more often than 2× a week. Furthermore, they were more likely to be physically active, and slightly fewer were smokers. The lifestyles of the women were less likely to depend on their socio-economic status than the cohorts. In 1991 and 1996, there was a marked intensification of unhealthy behavior. Changes in the analyzed health behaviors may have been caused by adaptation to the high level of psychosocial stress observed during the transition of the 1986-2021 period and may result in changes in the biological condition and quality and length of life of Polish women. Research on social differences in health behavior provides an opportunity to analyze the biological effects of changes in the living environment.

Health inequalities in cause-specific mortality in Costa Rica: a population-based cohort study

OBJECTIVE

To analyze health inequalities in cause-specific mortality in Costa Rica from 2010 to 2018, observing the main causes for inequality in the country.

METHODS

The National Electoral Rolls were used to follow-up all Costa Rican adults aged 20 years or older from 2010 to 2018 (n = 2,739,733) in an ecological study. A parametric survival model based on the Gompertz distribution was performed and the event death was classified according to the ICD-10.

RESULTS

After adjustment for urbanicity, the poorest districts had a higher mortality than the wealthier districts for most causes of death except neoplasms, mental and behavioral disorders, and diseases of the nervous system. Urban districts showed significantly higher mortality than mixed and rural districts after adjustment for wealth for most causes except mental and behavioral disorders, diseases of the nervous system, and diseases of the respiratory system. Differences according to wealth were more frequent in women than men, whereas differences according to urbanicity were more frequent in men than in women.

CONCLUSIONS

The study's findings were consistent, but not fully similar, to the international literature.

Cause-of-Death Diversity From a Multiple-Cause Perspective in the United States

Cause-of-death diversity captures the variability of deaths across causes and is an important marker of heterogeneity in a population's health. We contribute to the debate of cause-of-death diversity dynamics by following a novel multiple causes of death (MCOD) approach and applying it to the U.S. context between 2003 and 2018 and across education groups. Results show that cause-of-death diversity increased over this period, especially up to 2012. These trends were mainly driven by increases in the groups aged 65 years or more. The inclusion of MCOD resulted in higher increases in cause-of-death diversity over time compared with merely using underlying causes of death, except for the 85 or more age group, where no difference was observed for males and a reverted gradient was observed for females. Results by educational attainment reveal lower diversity among the highest educated groups and widening differences across groups from around 2012 onward. The clear educational gradient observed at ages 30-64 diminished at older ages. The observed increases in cause-of-death diversity should be monitored to better understand mortality dynamics in aging populations. Our new MCOD diversity measures suggest that traditional approaches relying on single causes of death might be underestimating cause-of-death diversity dynamics, particularly for males.

Differences in the Mediating Role of HL in Socioeconomic Inequalities in Health Across Age Groups: Results from the Dutch Doetinchem Cohort Study

BACKGROUND

Although it is known that health literacy (HL) plays an explanatory role in educational inequalities in health, it is unknown whether this role varies across age groups.

OBJECTIVE

The purpose of this study was to investigate whether the mediating role of HL in educational inequalities in four health outcomes varies across age groups: age 46 to 58 years, age 59 to 71 years, and age 72 to 84 years.

METHODS

We used data from the Dutch Doetinchem Cohort Study, which included 3,448 participants. We included years of education as predictor, chronic illness prevalence and incidence, mental and self-perceived health as outcomes, and HL, based on self-report, as mediator. We used multiple-group mediation models to compare indirect effects across age groups.

KEY RESULTS

In the complete sample without age stratification, HL partly mediated the effect of education on all health outcomes except for incidence of chronic diseases. These indirect effect estimates were larger for subjective (self-perceived health, proportion mediated [PM] = 37%, and mental health, PM = 37%) than for objective health outcomes (prevalence of chronic disease, PM = 17%). For the prevalence of chronic disease, the indirect effect estimate was significantly larger among individuals age 46 to 58 years compared to individuals age 59 to 71 years and for incidence of chronic disease also compared to individuals age 72 to 84 years. All other indirect effect estimates did not differ significantly between age groups. Using an alternative cut-off point for HL or adjusting for cognitive functioning did not meaningfully change the results.

CONCLUSIONS

Overall, we found that the explanatory role of HL in educational inequalities in mental and subjective health was stable but that it varied across age groups for chronic diseases, where it was largest among individuals age 46 to 58 years. Future studies may investigate the benefits of starting to intervene on HL from a younger age but means to improve HL may also benefit the subjective health of older adults with lower education. [HLRP: HL Research and Practice. 2023;7(1):e26-e38.] Plain Language Summary: This study examined age-group differences in the mediating role of HL in the relationship between education and health. Overall, we found that the explanatory role of HL in educational inequalities in mental and subjective health was stable but that it varied across age groups for chronic diseases, where it was largest among individuals age 46 to 58 years compared to individuals age 59 to 71 years and individuals age 72 to 84 years.

Unlocking the Secrets of Longevity: Exploring the Impact of Socioeconomic Factors and Health Resources on Life Expectancy in Oman and Qatar

In an era marked by a sweeping pandemic and the encroaching shadow of an energy crisis, the well-being and lifespan of global populations have become pressing concerns for every nation. This research zeroes in on life expectancy (LE), a powerful indicator of societal health in Oman and Qatar. Our study juxtaposes 3 key factors affecting LE: health status and resources (HSR), macroeconomics (ME), and sociodemographic (SD) factors. To achieve this, we tapped into a comprehensive data set from the World Bank, encompassing a transformative 3-decade span from 1990 to 2020. The intricate interplay between these factors and LE was deciphered through robust Structural Equation Modeling (SEM). Our findings construct a compelling narrative: ME has an indirect yet considerable influence on LE-manifesting with an effect of 0.602 for Oman and 0.676 for Qatar. This influence is mediated by SD and HSR components. Similarly, SD elements impact LE indirectly-with an effect of 0.653 for Oman and 0.759 for Qatar- this effect is mediated by HSR. In contrast, HSR themselves wield a robust and direct influence on LE, indicated by an effect of 0.839 for Oman and 0.904 for Qatar. All these aforementioned effects were statistically substantial (P < .001). Our research magnifies the robust direct influence of HSR on LE in both Oman and Qatar, simultaneously highlighting the noteworthy indirect role of ME and SD factors. This emphasizes the significance of adopting an integrated policy approach that considers all the SD, ME, and HSR factors to improve the population health in both countries, which are also crucial for promoting LE growth in the Gulf Cooperation Council region.

Governance of Intersectoral Collaborations for Population Health and to Reduce Health Inequalities in High-Income Countries: A Complexity-Informed Systematic Review

BACKGROUND

A 'Health in All Policies' (HiAP) approach has been widely advocated as a way to involve multiple government sectors in addressing health inequalities, but implementation attempts have not always produced the expected results. Explaining how HiAP-style collaborations have been governed may offer insights into how to improve population health and reduce health inequalities.

METHODS

Theoretically focused systematic review. Synthesis of evidence from evaluative studies into a causal logic model.

RESULTS

Thirty-one publications based on 40 case studies from nine high-income countries were included. Intersectoral collaborations for population health and equity were multi-component and multi-dimensional with collaborative activity spanning policy, strategy, service design and service delivery. Governance of intersectoral collaboration included structural and relational components. Both internal and external legitimacy and credibility delivered collaborative power, which in turn enabled intersectoral collaboration. Internal legitimacy was driven by multiple structural elements and processes. Many of these were instrumental in developing (often-fragile) relational trust. Internal credibility was supported by multi-level collaborations that were adequately resourced and shared power. External legitimacy and credibility was created through meaningful community engagement, leadership that championed collaborations and the identification of 'win-win' strategies. External factors such as economic shocks and short political cycles reduced collaborative power.

CONCLUSION

This novel review, using systems thinking and causal loop representations, offers insights into how collaborations can generate internal and external legitimacy and credibility. This offers promise for future collaborative activity for population health and equity; it presents a clearer picture of what structural and relational components and dynamics collaborative partners can focus on when planning and implementing HiAP initiatives. The limits of the literature base, however, does not make it possible to identify if or how this might deliver improved population health or health equity.

The challenge of managing multimorbid atrial fibrillation: a pan-European European Heart Rhythm Association (EHRA) member survey of current management practices and clinical priorities

As part of the EHRS-PATHS study examining comorbidities in atrial fibrillation (AF) across Europe, the aim was (i) to evaluate how multimorbidity is currently addressed by clinicians during AF treatment to characterize the treatment structure and (ii) to assess how the interdisciplinary management of multimorbid AF is currently conducted. An online survey was distributed among European Heart Rhythm Association (EHRA) members in Europe that included 21 questions and a free-text option for comments on detection, assessment, and management of AF-related comorbidities. A total of 451 responses were received with 339 responses eligible for inclusion. Of these, 221 were male (66%), 300 (91.5%) were physicians, and 196 (57.8%) were working in academic university teaching hospitals. Half of the respondents managed between 20 and 50 patients per month with multimorbid AF. Varying rates of specialist services and referral to these services were available at each location (e.g. heart failure and diabetes), with a greater number of specialist services available at academic university teaching hospitals compared with non-teaching hospitals [e.g. anticoagulation clinic 92 (47%) vs. 50 (35%), P < 0.03]. Barriers to referring to specialist services for AF comorbidities included lack of integrated care model (n = 174, 51%), organizational or institutional issues (n = 145, 43%), and issues with patient adherence (n = 126, 37%), highlighting the need for organizational restructuring and developing an integrated collaborative evidenced-based approach to multimorbid AF care. The survey and analyses of free-text comments demonstrated the need for systematic, integrated management of AF-related comorbidities, and these results will inform the next phases of the EHRA-PATHS study.

(Healthy) Aging Patterns in Europe: A Multistate Health Transition Approach

We explore patterns and determinants of health transition probabilities by combining outcomes of morbidity and mortality to examine different aging patterns across Europe, and to ascertain how individual socio-demographic characteristics modify these patterns. We use panel data from the Survey of Health, Ageing and Retirement in Europe (2004– 2017) for 76,536 individuals aged 50 + in 20 European countries who participated in at least two waves. All transition probabilities were calculated applying a multistate analytical approach. Our findings show significant gender, education, and cohort differences in health transition probabilities and marked cross-country group differences. Central and Northern European countries present lower probabilities of health deterioration than Southern and, especially, Eastern European countries. Having a high level of education, living in Central Europe, and being younger are associated with lower probabilities of health deterioration and, if any, a higher probability of being restored to good health. We found less evidence of differences when transitions end in death. Our study contributes to this line of research by implementing a multistate approach using European harmonized panel dataset, to examine the effects of birth cohort, educational attainment and gender differences on health transitions. Our findings point to the need to consider the specific influence of individual factors in the aging process in different transitions according to the context and with reference to specific vulnerable groups. In the context of aging societies, such a consideration is both essential and policy relevant.