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.

Investigating the impact on mental wellbeing of an increase in pensions: A longitudinal analysis by area-level deprivation in England, 1998-2002.

In 1997 approximately two million people aged 60 years or over were living poverty in the UK. In 1999 the UK Government raised real pension incomes of low-income pensioners by around a third through the introduction of the Minimum Income Guarantee (MIG). This study explores the implications of this change for pensioners' mental wellbeing with a focus on differences by area level deprivation in England. We explore mental wellbeing outcomes of 205 men (750 person-year observations) and 367 women (1,336 person-year observations) of state pension age from scores on the General Health Questionnaire from the British Household Panel Survey using a panel difference-in-difference estimation procedure. We compare the mental wellbeing of pensioners receiving MIG to that of low-income pensioners not claiming MIG, from 1998 to 2002. To investigate differences by area deprivation we use quintiles of the of the distributions of the 2000 and 2019 local-authority-level English Index of Multiple Deprivation. Models controlled for age, marital status and year. Between 1998 and 2002, 136 (38%) of low-income women and 57 (28%) of low-income men in the sample were claiming MIG at any one time. Income increased by 31% for men and 22% for women. There was no change in mental wellbeing for women but we found an improvement for men overall and for men living in the most deprived areas, in the latter case with a decrease of the GHQ-12 score of 2.43 points (95% CI: -5.49, 0.02). This estimate was similar across all measures of deprivation, and across both years of IMD. This study provides tentative evidence that the increase in pension income in England for low-income pensioners contributed to a reduction of inequalities in mental wellbeing for men. This needs to be considered in terms of future state pension policies.

Educational inequalities in adult mortality: a systematic review and meta-analysis of the Asia Pacific region.

OBJECTIVES: In this study, we aim to analyse the relationship between educational attainment and all-cause mortality of adults in the high-income Asia Pacific region. DESIGN: This study is a comprehensive systematic review and meta-analysis with no language restrictions on searches. Included articles were assessed for study quality and risk of bias using the Joanna Briggs Institute critical appraisal checklists. A random-effects meta-analysis was conducted to evaluate the overall effect of individual level educational attainment on all-cause mortality. SETTING: The high-income Asia Pacific Region consisting of Japan, South Korea, Singapore and Brunei Darussalam. PARTICIPANTS: Articles reporting adult all-cause mortality by individual-level education were obtained through searches conducted from 25 November 2019 to 6 December 2019 of the following databases: PubMed, Web of Science, Scopus, EMBASE, Global Health (CAB), EconLit and Sociology Source Ultimate. PRIMARY AND SECONDARY OUTCOME MEASURES: Adult all-cause mortality was the primary outcome of interest. RESULTS: Literature searches resulted in 15 345 sources screened for inclusion. A total of 30 articles meeting inclusion criteria with data from the region were included for this review. Individual-level data from 7 studies covering 222 241 individuals were included in the meta-analyses. Results from the meta-analyses showed an overall risk ratio of 2.40 (95% CI 1.74 to 3.31) for primary education and an estimate of 1.29 (95% CI 1.08 to 1.54) for secondary education compared with tertiary education. CONCLUSION: The results indicate that lower educational attainment is associated with an increase in the risk of all-cause mortality for adults in the high-income Asia Pacific region. This study offers empirical support for the development of policies to reduce health disparities across the educational gradient and universal access to all levels of education. PROSPERO REGISTRATION NUMBER: CRD42020183923.

Changes in life expectancy and disease burden in Norway, 1990-2019: an analysis of the Global Burden of Disease Study 2019.

BACKGROUND: Geographical differences in health outcomes are reported in many countries. Norway has led an active policy aiming for regional balance since the 1970s. Using data from the Global Burden of Disease Study (GBD) 2019, we examined regional differences in development and current state of health across Norwegian counties. METHODS: Data for life expectancy, healthy life expectancy (HALE), years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) in Norway and its 11 counties from 1990 to 2019 were extracted from GBD 2019. County-specific contributors to changes in life expectancy were compared. Inequality in disease burden was examined by use of the Gini coefficient. FINDINGS: Life expectancy and HALE improved in all Norwegian counties from 1990 to 2019. Improvements in life expectancy and HALE were greatest in the two counties with the lowest values in 1990: Oslo, in which life expectancy and HALE increased from 71·9 years (95% uncertainty interval 71·4-72·4) and 63·0 years (60·5-65·4) in 1990 to 81·3 years (80·0-82·7) and 70·6 years (67·4-73·6) in 2019, respectively; and Troms og Finnmark, in which life expectancy and HALE increased from 71·9 years (71·5-72·4) and 63·5 years (60·9-65·6) in 1990 to 80·3 years (79·4-81·2) and 70·0 years (66·8-72·2) in 2019, respectively. Increased life expectancy was mainly due to reductions in cardiovascular disease, neoplasms, and respiratory infections. No significant differences between the national YLD or DALY rates and the corresponding age-standardised rates were reported in any of the counties in 2019; however, Troms og Finnmark had a higher age-standardised YLL rate than the national rate (8394 per 100 000 [95% UI 7801-8944] vs 7536 per 100 000 [7391-7691]). Low inequality between counties was shown for life expectancy, HALE, all level-1 causes of DALYs, and exposure to level-1 risk factors. INTERPRETATION: Over the past 30 years, Norway has reduced inequality in disease burden between counties. However, inequalities still exist at a within-county level and along other sociodemographic gradients. Because of insufficient Norwegian primary data, there remains substantial uncertainty associated with regional estimates for non-fatal disease burden and exposure to risk factors. FUNDING: Bill & Melinda Gates Foundation, Research Council of Norway, and Norwegian Institute of Public Health.

Trends in absolute and relative educational inequalities in health during times of labour market restructuring in coastal areas: The HUNT Study, Norway.

BACKGROUND: Restructuring labour markets offers natural population-level experiments of great social epidemiological interest. Many coastal areas have endured substantial restructuring of their local labour markets following declines in small-scale fishing and transitions to new employment opportunities. It is unknown how educational inequalities in health have developed in formerly fishery-dependent communities during such restructuring. In this study, we compare trends in social inequalities in health in Norwegian coastal areas with adjacent geographical areas between 1984 and 2019. METHODS: We used cross-sectional population-based data from the Trøndelag Health Study (HUNT), collected four times: HUNT1 (1984-86), HUNT2 (1995-97), HUNT3 (2006-08) and HUNT4 (2017-19). Adults above 30 years of age were included. Using Poisson regression, we calculated absolute and relative educational inequalities in self-rated health, using slope (SII) and relative (RII) indices of inequality. RESULTS: Trends in absolute and relative inequalities in rural coastal health were generally more favourable than in adjacent geographical areas. We found a statistically significant trend of declining relative educational inequalities in self-rated health in the rural coastal population from HUNT1 to HUNT4. Absolute inequalities overall increased from HUNT1 to HUNT4, although a declining trend followed HUNT2. Nonetheless, the rural coastal population exhibited the highest prevalence of poor self-rated health across the four decades. CONCLUSIONS: Although absolute educational inequalities in self-rated health widened in all geographical areas, the smallest increase was in rural coastal areas. Relative educational inequalities narrowed in this rural coastal population. Considering the concurrent processes of large-scale investments in the Norwegian public sector and welfare schemes, increased fishing fleet safety, and employment opportunities in aquaculture, our findings do not suggest that potential positive effects on public health of this restructuring have benefitted inhabitants with higher educational attainment more than inhabitants with lower educational attainment in this rural coastal population.

COVID-19 and the Nordic Paradox: a call to measure the inequality reducing benefits of welfare systems in the wake of the pandemic.

The Nordic Paradox of inequality describes how the Nordic countries have puzzlingly high levels of relative health inequalities compared to other nations, despite extensive universal welfare systems and progressive tax regimes that redistribute income. However, the veracity and origins of this paradox have been contested across decades of literature, as many scholars argue it relates to measurement issues or historical coincidences. Disentangling between potential explanations is crucial to determine if widespread adoption of the Nordic model could represent a sufficient panacea for lowering health inequalities, or if new approaches must be pioneered. As newfound challenges to welfare systems continue to emerge, evidence describing the benefits of welfare systems is becoming ever more important. Preliminary evidence indicates that the COVID-19 pandemic is drastically exacerbating social inequalities in health across the world, via direct and indirect effects. We argue that the COVID-19 pandemic therefore represents a unique opportunity to measure the value of welfare systems in insulating their populations from rising social inequalities in health. However, COVID-19 has also created new measurement challenges and interrupted data collection mechanisms. Robust academic studies will therefore be needed-drawing on novel data collection methods-to measure increasing social inequalities in health in a timely fashion. In order to assure that policies implemented to reduce inequalities can be guided by accurate and updated information, policymakers, academics, and the international community must work together to ensure streamlined data collection, reporting, analysis, and evidence-based decision-making. In this way, the pandemic may offer the opportunity to finally clarify some of the mechanisms underpinning the Nordic Paradox, and potentially more firmly establish the merits of the Nordic model as a global example for reducing social inequalities in health.

Parental education and inequalities in child mortality: a global systematic review and meta-analysis.

BACKGROUND: The educational attainment of parents, particularly mothers, has been associated with lower levels of child mortality, yet there is no consensus on the magnitude of this relationship globally. We aimed to estimate the total reductions in under-5 mortality that are associated with increased maternal and paternal education, during distinct age intervals. METHODS: This study is a comprehensive global systematic review and meta-analysis of all existing studies of the effects of parental education on neonatal, infant, and under-5 child mortality, combined with primary analyses of Demographic and Health Survey (DHS) data. The literature search of seven databases (CINAHL, Embase, MEDLINE, PsycINFO, PubMed, Scopus, and Web of Science) was done between Jan 23 and Feb 8, 2019, and updated on Jan 7, 2021, with no language or publication date restrictions. Teams of independent reviewers assessed each record for its inclusion of individual-level data on parental education and child mortality and excluded articles on the basis of study design and availability of relevant statistics. Full-text screening was done in 15 languages. Data extracted from these studies were combined with primary microdata from the DHS for meta-analyses relating maternal or paternal education with mortality at six age intervals: 0-27 days, 1-11 months, 1-4 years, 0-4 years, 0-11 months, and 1 month to 4 years. Novel mixed-effects meta-regression models were implemented to address heterogeneity in referent and exposure measures among the studies and to adjust for study-level covariates (wealth or income, partner's years of schooling, and sex of the child). This study was registered with PROSPERO (CRD42020141731). FINDINGS: The systematic review returned 5339 unique records, yielding 186 included studies after exclusions. DHS data were compiled from 114 unique surveys, capturing 3 112 474 livebirths. Data extracted from the systematic review were synthesized together with primary DHS data, for meta-analysis on a total of 300 studies from 92 countries. Both increased maternal and paternal education showed a dose-response relationship linked to reduced under-5 mortality, with maternal education emerging as a stronger predictor. We observed a reduction in under-5 mortality of 31·0% (95% CI 29·0-32·6) for children born to mothers with 12 years of education (ie, completed secondary education) and 17·3% (15·0-18·8) for children born to fathers with 12 years of education, compared with those born to a parent with no education. We also showed that a single additional year of schooling was, on average, associated with a reduction in under-5 mortality of 3·04% (2·82-3·23) for maternal education and 1·57% (1·35-1·72) for paternal education. The association between higher parental education and lower child mortality was significant for both parents at all ages studied and was largest after the first month of life. The meta-analysis framework incorporated uncertainty associated with each individual effect size into the model fitting process, in an effort to decrease the risk of bias introduced by study design and quality. INTERPRETATION: To our knowledge, this study is the first effort to systematically quantify the transgenerational importance of education for child survival at the global level. The results showed that lower maternal and paternal education are both risk factors for child mortality, even after controlling for other markers of family socioeconomic status. This study provides robust evidence for universal quality education as a mechanism to achieve the Sustainable Development Goal target 3.2 of reducing neonatal and child mortality. FUNDING: Research Council of Norway, Bill & Melinda Gates Foundation, and Rockefeller Foundation-Boston University Commission on Social Determinants, Data, and Decision Making (3-D Commission).

Technological innovations and the rise of social inequalities in health.

Social inequalities in health have been categorised as a human-rights issue that requires action. Unfortunately, these inequalities are on the rise in many countries, including welfare states. Various theories have been offered to explain the persistence (and rise) of these inequalities over time, including the social determinants of health and fundamental cause theory. Interestingly, the rise of modern social inequalities in health has come at a time of great technological innovation. This article addresses whether these technological innovations are significantly influencing the persistence of modern social inequalities in health. A theoretical argument is offered for this potential connection and is discussed alongside the typical social determinants of health perspective and the increasingly popular fundamental cause perspective. This is followed by a proposed research agenda for further investigation of the potential role that technological innovations may play in influencing social inequalities in health.

Educational inequalities in diabetes mortality across Europe in the 2000s: the interaction with gender.

OBJECTIVES: To evaluate educational inequalities in diabetes mortality in Europe in the 2000s, and to assess whether these inequalities differ between genders. METHODS: Data were obtained from mortality registries covering 14 European countries. To determine educational inequalities in diabetes mortality, age-standardised mortality rates, mortality rate ratios, and slope and relative indices of inequality were calculated. To assess whether the association between education and diabetes mortality differs between genders, diabetes mortality was regressed on gender, educational rank and 'gender × educational rank'. RESULTS: An inverse association between education and diabetes mortality exists in both genders across Europe. Absolute educational inequalities are generally larger among men than women; relative inequalities are generally more pronounced among women, the relative index of inequality being 2.8 (95 % CI 2.0-3.9) in men versus 4.8 (95 % CI 3.2-7.2) in women. Gender inequalities in diabetes mortality are more marked in the highest than the lowest educated. CONCLUSIONS: Education and diabetes mortality are inversely related in Europe in the 2000s. This association differs by gender, indicating the need to take the socioeconomic and gender dimension into account when developing public health policies.

Self-rated health and mortality in different occupational classes and income groups in Nord-Trøndelag County, Norway.

BACKGROUND: People with a lower socioeconomic position have a higher the prevalence of most self-rated health problems. In this article we ask whether this may be attributed to self-rated health not reflecting actual health, understood as mortality, in different socioeconomic groups. MATERIAL AND METHOD: For the study we used data from the Nord-Trøndelag Health Study 1984-86 (HUNT1), in which the county's entire adult population aged 20 years and above were invited to participate. The association between self-rated health and mortality in different occupational classes and income groups was analysed. The analysis corrected for age, chronic disease, functional impairment and lifestyle factors. RESULTS: The association between self-rated health and mortality was of the same order of magnitude for the occupational classes and income groups, but persons without work/income and with poor self-rated health stood out. Compared with persons in the highest socioeconomic class, unemployed men had a hazard ratio for death that was three times higher in the follow-up period. For women with no income, the ratio was twice as high. INTERPRETATION Self-rated health and mortality largely conform to the different socioeconomic strata. This supports the perception that socioeconomic differences in health are a reality and represent a significant challenge nationally. Our results also increase the credibility of findings from other studies that use self-reported health in surveys to measure differences and identify the mechanisms that create them.

Keeping it in the family: the self-rated health of lone mothers in different European welfare regimes.

This study examines whether health inequalities exist between lone and cohabiting mothers across Europe, and how these may differ by welfare regime. Data from the European Social Survey were used to compare self-rated general health, limiting long-standing illness and depressive feelings by means of a multi-level logistic regression. The 27 countries included in the analyses are classified into six welfare regimes (Anglo-Saxon, Bismarckian, Southern, Nordic, Central East Europe (CEE) (new EU) and CEE (non-EU). Lone motherhood is defined as mothers not cohabiting with a partner, regardless of their legal marital status. The results indicate that lone mothers are more at risk of poor health than cohabiting mothers. This is most pronounced in the Anglo-Saxon regime for self-rated general health and limiting long-standing illness, while for depressive feelings it is most pronounced in the Bismarckian welfare regime. While the risk difference is smallest in the CEE regimes, both lone and cohabiting mothers also reported the highest levels of poor health compared with the other regimes. The results also show that a vulnerable socioeconomic position is associated with ill-health in lone mothers and that welfare regimes differ in the degree to which they moderate this association.

The potential impact of a social redistribution of specific risk factors on socioeconomic inequalities in mortality: illustration of a method based on population attributable fractions.

BACKGROUND: Socioeconomic differences in health are a major challenge for public health. However, realistic estimates to what extent they are modifiable are scarce. This problem can be met through the systematic application of the population attributable fraction (PAF) to socioeconomic health inequalities. METHODS: The authors used cause-specific mortality data by educational level from Belgium, Norway and Czech Republic and data on the prevalence of smoking, alcohol, lack of physical activity and high body mass index from national health surveys. Information on the impact of these risk factors on mortality comes from the epidemiological literature. The authors calculated PAFs to quantify the impact on socioeconomic health inequalities of a social redistribution of risk factors. The authors developed an Excel tool covering a wide range of possible scenarios and the authors compare the results of the PAF approach with a conventional regression. RESULTS: In a scenario where the whole population gets the risk factor prevalence currently seen among the highly educated inequalities in mortality can be reduced substantially. According to the illustrative results, the reduction of inequality for all risk factors combined varies between 26% among Czech men and 94% among Norwegian men. Smoking has the highest impact for both genders, and physical activity has more impact among women. CONCLUSIONS: After discussing the underlying assumptions of the PAF, the authors concluded that the approach is promising for estimating the extent to which health inequalities can be potentially reduced by interventions on specific risk factors. This reduction is likely to differ substantially between countries, risk factors and genders.

Income-related health inequalities in the Nordic countries: examining the role of education, occupational class, and age.

Numerous studies have concluded that people's socioeconomic position is related to mortality and morbidity, but that the strength of this association varies considerably both within and between European regions. This has spurred several researchers to more closely examine educational and occupational gradients in health in the Nordic countries to clarify the causes of cross-national differences. However, comparable studies using income as an indicator of socioeconomic position are still lacking. This study uses recent and highly comparable data to fill this gap. The aim of this study is threefold. First, we ask to what extent there is an income gradient in health in the Nordic countries, and to what extent the association differs between these countries. Second and third, we examine whether differences in the attenuation of the income gradient by education and occupational class, and age-specific differences between countries, may act as explanations for differences in the income gradient between the Nordic countries. The data source are three waves of the European Social Survey (ESS, 2002/2004/2006), which included 17,801 people aged 25 and over from Denmark, Finland, Norway, and Sweden. Two subjective health measures (physical/mental self reported health and limiting longstanding illness) were analysed by means of logistic regression. The results show that, in all countries, people reported significantly better health and were less likely to suffer from longstanding illness as they had a higher income. This association is strongest in Norway and Finland and weakest in Denmark. The income gradient in health, but not country differences in this gradient, is partly explained by education and occupational class. Additionally, the strength of the income gradient in health varies between age groups. The relatively high health inequalities between income groups in Norway and Finland are already visible in the youngest age groups. The results imply that the socioeconomic gradient in health will arguably not be strongly reduced in the near future as a result of cohort replacement, as has been suggested in previous studies. Health policy interventions may be particularly important five to ten years prior to retirement and in early adulthood.

Education and self-reported health care seeking behaviour in European welfare regimes: results from the European Social Survey.

OBJECTIVES: This study investigates educational inequalities in the perception of need for seeking health care in 24 European countries belonging to five different welfare regimes (Scandinavian, Anglo-Saxon, Bismarckian, Eastern and Southern). METHODS: Based on the European Social Survey Round 2 (N = 38,122), associations between years of education and intended doctor consultation in case of four hypothetical symptoms (backache, sore throat, sleeping problems and headache) are analysed by multiple logistic regressions. RESULTS: People with less years of education tend to be more likely to consult a doctor compared to people with more education years after adjustment for age and gender. Associations are significant in all welfare regimes, except for the Southern. CONCLUSION: Educational inequalities in the perception of need for seeking health care can be found in different welfare regimes.

Educational health inequalities in former Yugoslavia: evidence from the South-East European Social Survey Project.

BACKGROUND: An important gap in our knowledge of social inequalities in health is the former Yugoslavia, a region of culturally and historically diverse countries, with recent conflict. The aim of the present paper is to investigate relative and absolute inequalities in self-assessed health in former Yugoslavia (Bosnia-Herzegovina, Croatia, Kosovo, Macedonia, Montenegro, Slovenia and Serbia) by sex and education. METHODS: The data source is the South-East European Social Survey Project fielded in December 2003 to Winter 2004, covering the former Yugoslavia with a total sample of 18 481 respondents. Data from Slovenia were obtained from the 2004-wave of the European Social Survey. The health outcome variables were self-reported general health (SRH) and limiting longstanding illness (LLI). RESULTS: Both absolute and relative educational health inequalities were present throughout the former Yugoslavia to a larger or lesser extent, although odds ratios (ORs) for LLI and SRH were not significant for Montenegrin women [LLI OR = 1.12, 95% confidence interval (CI): 0.92-1.37; SRH OR = 1.16, 95% CI: 0.96-1.40] and with respect to the reporting of LLI among Slovenian men (OR = 1.16, 95% CI: 0.96-1.44). Overall, Montenegro held the best position. CONCLUSIONS: The prevalence of poor health and the degree of relative inequality in self-assessed health in the former Yugoslavian countries were similar in order to one another, and to other East European countries during the same period. Influences on subjective health require further elucidation. Further research should study a wider range of health outcomes using larger survey samples and a wider range of cultural and other predictor variables.