Disruption and selection: the income gradient in mortality among natives and migrants in Sweden.

BACKGROUND: The income gradient in mortality is generated through an interplay between socio-economic processes and health over the life course. International migration entails the displacement of an individual from one context to another and may disrupt these processes. Furthermore, migrants are a selected group that may adopt distinct strategies and face discrimination in the labour market. These factors may have implications for the income gradient in mortality. We investigate whether the income gradient in mortality differs by migrant status and by individual-level factors surrounding the migration event. METHODS: We use administrative register data comprising the total resident population in Sweden aged between 30 and 79 in 2015 (n = 5.7 million) and follow them for mortality during 2015-17. We estimate the income gradient in mortality by migrant status, region of origin, age at migration and country of education using locally estimated scatterplot smoothing and Poisson regression. RESULTS: The income gradient in mortality is less steep among migrants compared with natives. This pattern is driven by lower mortality among migrants at lower levels of income. The gradient is less steep among distant migrants than among close migrants, migrants that arrived as adults compared with children and migrants that received their education in Sweden as opposed to abroad. CONCLUSIONS: Our results are consistent with the notion that income inequalities in mortality are generated through life-course processes that may be disrupted by migration. Data restrictions prevent us from disentangling life-course disruption from selection into migration, discrimination and labour market strategies.

Changes in life expectancy and lifespan variability by income quartiles in four Nordic countries: a study based on nationwide register data.

OBJECTIVES: Levels, trends or changes in socioeconomic mortality differentials are typically described in terms of means, for example, life expectancies, but studies have suggested that there also are systematic social disparities in the dispersion around those means, in other words there are inequalities in lifespan variation. This study investigates changes in income inequalities in mean and distributional measures of mortality in Denmark, Finland, Norway, and Sweden over two decades. DESIGN: Nationwide register-based study. SETTING: The Danish, Finnish, Norwegian and Swedish populations aged 30 years or over in 1997 and 2017. MAIN OUTCOME MEASURES: Income-specific changes in life expectancy, lifespan variation and the contribution of 'early' and 'late' deaths to increasing life expectancy. RESULTS: Increases in life expectancy has taken place in all four countries, but there are systematic differences across income groups. In general, the largest gains in life expectancy were observed in Denmark, and the smallest increase among low-income women in Sweden and Norway. Overall, life expectancy increased and lifespan variation decreased with increasing income level. These differences grew larger over time. In all countries, a marked postponement of early deaths led to a compression of mortality in the top three income quartiles for both genders. This did not occur for the lowest income quartile. CONCLUSION: Increasing life expectancy is typically accompanied by postponement of early deaths and reduction of lifespan inequality in the higher-income groups. However, Nordic welfare societies are challenged by the fact that postponing premature deaths among people in the lowest-income groups is not taking place.

Interdependent pathways between socioeconomic position and health: A Swedish longitudinal register-based study.

Health inequalities are generated by the conditions in which people are born, grow, live, work and age. From a life-course perspective, these conditions are formed by complex causal relationships with mutual and intertwined paths between socioeconomic position and health. This study attempts to disentangle some of these processes by examining pathways between socioeconomic position and health across the life-course. We used yearly Swedish national register data with information from over 31 years for two cohorts born 1941-1945 and 1961-1965. We analyzed associations between several indicators of childhood and adult socioeconomic position and health, measured by number of in-patient hospitalizations. We estimated within- and between-person associations using random intercept cross-lagged panel models. The results showed bi-directional associations between socioeconomic position and health that varied in strength across the life-course. Age variations in the associations were primarily observed when individuals aged into or out of age-stratified institutions. In ages where transitions from education to the labor market are common, the associations from health to income and education were strong. Around and after retirement age, the between-person association from health to income was weak, while the association from income to health strengthened. Within-person estimates showed no association between income and subsequent hospitalization among older persons, indicating no direct causal effect of income change on health in this age group. For persons of middle age, the associations were of similar strength in both directions and present at both the between- and within-person level. Our findings highlight the importance of theoretical frameworks and methods that can incorporate the interplay between social, economic, and biological processes over the life-course in order to understand how health inequalities are generated.

Smoking and inequalities in mortality in 11 European countries: a birth cohort analysis.

PURPOSE: To study the trends of smoking-attributable mortality among the low and high educated in consecutive birth cohorts in 11 European countries. METHODS: Register-based mortality data were collected among adults aged 30 to 79 years in 11 European countries between 1971 and 2012. Smoking-attributable deaths were estimated indirectly from lung cancer mortality rates using the Preston-Glei-Wilmoth method. Rate ratios and rate differences among the low and high-educated were estimated and used to estimate the contribution of inequality in smoking-attributable mortality to inequality in total mortality. RESULTS: In most countries, smoking-attributable mortality decreased in consecutive birth cohorts born between 1906 and 1961 among low- and high-educated men and high-educated women, but not among low-educated women among whom it increased. Relative educational inequalities in smoking-attributable mortality increased among both men and women with no signs of turning points. Absolute inequalities were stable among men but slightly increased among women. The contribution of inequality in smoking-attributable mortality to inequality in total mortality decreased in consecutive generations among men but increased among women. CONCLUSIONS: Smoking might become less important as a driver of inequalities in total mortality among men in the future. However, among women, smoking threatens to further widen inequalities in total mortality.

Next steps in the development of the social determinants of health approach: the need for a new narrative.

During the past 15-20 years the Social Determinants of Health (SDoH) framework has become the main approach to understand health inequalities. With this model a range of factors important for health and inequalities in health over the life-course have been connected into a larger framework. Despite its usefulness and popularity within the field, and wide use in influential reviews, the SDoH framework has not been easy to communicate to stakeholders in other sectors, and we cannot as yet see much of substantial societal change as a result of it. In this Commentary I try to discuss possible reasons behind our difficulties to communicate the SDoH perspective. Some of these reasons relate to how we frame and present the different parts of the framework, others are more linked to common beliefs and practices that I think we should rethink. In both cases, I believe that we would benefit from a more general discussion around these fundamental issues, both in order to communicate our important insights but also to better understand our own key study objective, namely how health inequalities are generated, sustained and potentially reduced.

A gold mine, but still no Klondike: Nordic register data in health inequalities research.

Aims: Future research on health inequality relies on data that cover life-course exposure, different birth cohorts and variation in policy contexts. Nordic register data have long been celebrated as a 'gold mine' for research, and fulfil many of these criteria. However, access to and use of such data are hampered by a number of hurdles and bottlenecks. We present and discuss the experiences of an ongoing Nordic consortium from the process of acquiring register data on socio-economic conditions and health in Denmark, Finland, Norway and Sweden. Methods: We compare experiences of data-acquisition processes from a researcher's perspective in the four countries and discuss the comparability of register data and the modes of collaboration available to researchers, given the prevailing ethical and legal restrictions. Results: The application processes we experienced were time-consuming, and decision structures were often fragmented. We found substantial variation between the countries in terms of processing times, costs and the administrative burden of the researcher. Concerned agencies differed in policy and practice which influenced both how and when data were delivered. These discrepancies present a challenge to comparative research. Conclusions: We conclude that there are few signs of harmonisation, as called for by previous policy documents and research papers. Ethical vetting needs to be centralised both within and between countries in order to improve data access. Institutional factors that seem to facilitate access to register data at the national level include single storage environments for health and social data, simplified ethical vetting and user guidance.

The next step towards more equity in health in Sweden: how can we close the gap in a generation?

In 2015, a national Commission for Equity in Health was appointed by the Swedish Government. In this paper, some key lines of thought from the three reports published by the Commission are summarised. First, the theories and principles for the Commission's work are outlined, in particular regarding the views taken on how health inequalities arise. Second, the importance of process is discussed in relation to cross-sectorial efforts to reduce inequalities in health. More specifically, this brings up some of the proposals made for how to redesign the public health policy framework for cross-sectorial work. Third, the proposed content of cross-sectorial work for more equal health is presented in three steps, namely: (1) overarching recommendations, (2) more equal conditions and opportunities, and (3) general problems of governance. Regarding people's conditions and opportunities, the Commission submitted a number of proposals for the general direction of work that needs to be taken in order to reduce health inequalities, as well as some examples of more specific policy changes or reforms on the basis of each of these general directions, which are summarised here. Finally, some challenges and difficulties that may prevent Sweden from taking the next step towards more equity in health are discussed.

The contribution of alcohol consumption and smoking to educational inequalities in life expectancy among Swedish men and women during 1991-2008.

OBJECTIVES: To assess the level and changes in contribution of smoking and alcohol-related mortality to educational differences in life expectancy in Sweden. METHODS: We used register data on the Swedish population at ages 30-74 during 1991-2008. Cause of death was used to identify alcohol-related deaths, while smoking-related mortality was estimated using lung cancer mortality to indirectly assess the impact of smoking on all-cause mortality. RESULTS: Alcohol consumption and smoking contributed to educational differences in life expectancy. Alcohol-related mortality was higher among men and contributed substantially to inequalities among men and made a small (but increasing) contribution to inequalities among women. Smoking-related mortality decreased among men but increased among women, primarily among the low educated. At the end of the follow-up, smoking-related mortality were at similar levels among men and women. The widening gap in life expectancy among women could largely be attributed to smoking. CONCLUSIONS: Smoking and alcohol consumption contribute to educational differences in life expectancy among men and women. The majority of the widening in the educational gap in mortality among women can be attributed to alcohol and smoking-related mortality.

Influence of affordability of alcohol on educational disparities in alcohol-related mortality in Finland and Sweden: a time series analysis.

BACKGROUND: Prices of alcohol and income tend to influence how much people buy and consume alcohol. Price and income may be combined into one measure, affordability of alcohol. Research on the association between affordability of alcohol and alcohol-related harm is scarce. Furthermore, no research exists on how this association varies across different subpopulations. We estimated the effects of affordability of alcohol on alcohol-related mortality according to gender and education in Finland and Sweden. METHODS: Vector-autoregressive time series modelling was applied to the quarter-annual aggregations of alcohol-related deaths and affordability of alcohol in Finland in 1988-2007 and in Sweden in 1991-2008. Alcohol-related mortality was defined using information on both underlying and contributory causes of death. We calculated affordability of alcohol index using information on personal taxable income and prices of various types of alcohol. RESULTS: Among Finnish men with secondary education, an increase of 1% in the affordability of total alcohol was associated with an increase of 0.028% (95% CI 0.004 to 0.053) in alcohol-related mortality. Similar associations were also found for affordability for various types of alcohol and for beer only in the lowest education group. We found few other significant positive associations for other subpopulations in Finland or Sweden. However, reverse associations were found among secondary-educated Swedish women. CONCLUSIONS: Overall, the associations between affordability of alcohol and alcohol-related mortality were relatively weak. Increased affordability of total alcoholic beverages was associated with higher rates of alcohol-related mortality only among Finnish men with secondary education.

Educational expansion and inequalities in mortality-A fixed-effects analysis using longitudinal data from 18 European populations.

OBJECTIVE: The aim of this paper is to empirically evaluate whether widening educational inequalities in mortality are related to the substantive shifts that have occurred in the educational distribution. MATERIALS AND METHODS: Data on education and mortality from 18 European populations across several decades were collected and harmonized as part of the Demetriq project. Using a fixed-effects approach to account for time trends and national variation in mortality, we formally test whether the magnitude of relative inequalities in mortality by education is associated with the gender and age-group specific proportion of high and low educated respectively. RESULTS: The results suggest that in populations with larger proportions of high educated and smaller proportions of low educated, the excess mortality among intermediate and low educated is larger, all other things being equal. CONCLUSION: We conclude that the widening educational inequalities in mortality being observed in recent decades may in part be attributed to educational expansion.

Changes in mortality inequalities over two decades: register based study of European countries.

OBJECTIVE: To determine whether government efforts in reducing inequalities in health in European countries have actually made a difference to mortality inequalities by socioeconomic group. DESIGN: Register based study. DATA SOURCE: Mortality data by level of education and occupational class in the period 1990-2010, usually collected in a census linked longitudinal study design. We compared changes in mortality between the lowest and highest socioeconomic groups, and calculated their effect on absolute and relative inequalities in mortality (measured as rate differences and rate ratios, respectively). SETTING: All European countries for which data on socioeconomic inequalities in mortality were available for the approximate period between years 1990 and 2010. These included Finland, Norway, Sweden, Scotland, England and Wales (data applied to both together), France, Switzerland, Spain (Barcelona), Italy (Turin), Slovenia, and Lithuania. RESULTS: Substantial mortality declines occurred in lower socioeconomic groups in most European countries covered by this study. Relative inequalities in mortality widened almost universally, because percentage declines were usually smaller in lower socioeconomic groups. However, as absolute declines were often smaller in higher socioeconomic groups, absolute inequalities narrowed by up to 35%, particularly among men. Narrowing was partly driven by ischaemic heart disease, smoking related causes, and causes amenable to medical intervention. Progress in reducing absolute inequalities was greatest in Spain (Barcelona), Scotland, England and Wales, and Italy (Turin), and absent in Finland and Norway. More detailed studies preferably using individual level data are necessary to identify the causes of these variations. CONCLUSIONS: Over the past two decades, trends in inequalities in mortality have been more favourable in most European countries than is commonly assumed. Absolute inequalities have decreased in several countries, probably more as a side effect of population wide behavioural changes and improvements in prevention and treatment, than as an effect of policies explicitly aimed at reducing health inequalities.

The contribution of national disparities to international differences in mortality between the United States and 7 European countries.

OBJECTIVES: This study examined to what extent the higher mortality in the United States compared to many European countries is explained by larger social disparities within the United States. We estimated the expected US mortality if educational disparities in the United States were similar to those in 7 European countries. METHODS: Poisson models were used to quantify the association between education and mortality for men and women aged 30 to 74 years in the United States, Belgium, Denmark, Finland, France, Norway, Sweden, and Switzerland for the period 1989 to 2003. US data came from the National Health Interview Survey linked to the National Death Index and the European data came from censuses linked to national mortality registries. RESULTS: If people in the United States had the same distribution of education as their European counterparts, the US mortality disadvantage would be larger. However, if educational disparities in mortality within the United States equaled those within Europe, mortality differences between the United States and Europe would be reduced by 20% to 100%. CONCLUSIONS: Larger educational disparities in mortality in the United States than in Europe partly explain why US adults have higher mortality than their European counterparts. Policies to reduce mortality among the lower educated will be necessary to bridge the mortality gap between the United States and European countries.

Variations in the relation between education and cause-specific mortality in 19 European populations: a test of the "fundamental causes" theory of social inequalities in health.

Link and Phelan have proposed to explain the persistence of health inequalities from the fact that socioeconomic status is a "fundamental cause" which embodies an array of resources that can be used to avoid disease risks no matter what mechanisms are relevant at any given time. To test this theory we compared the magnitude of inequalities in mortality between more and less preventable causes of death in 19 European populations, and assessed whether inequalities in mortality from preventable causes are larger in countries with larger resource inequalities. We collected and harmonized mortality data by educational level on 19 national and regional populations from 16 European countries in the first decade of the 21st century. We calculated age-adjusted Relative Risks of mortality among men and women aged 30-79 for 24 causes of death, which were classified into four groups: amenable to behavior change, amenable to medical intervention, amenable to injury prevention, and non-preventable. Although an overwhelming majority of Relative Risks indicate higher mortality risks among the lower educated, the strength of the education-mortality relation is highly variable between causes of death and populations. Inequalities in mortality are generally larger for causes amenable to behavior change, medical intervention and injury prevention than for non-preventable causes. The contrast between preventable and non-preventable causes is large for causes amenable to behavior change, but absent for causes amenable to injury prevention among women. The contrast between preventable and non-preventable causes is larger in Central & Eastern Europe, where resource inequalities are substantial, than in the Nordic countries and continental Europe, where resource inequalities are relatively small, but they are absent or small in Southern Europe, where resource inequalities are also large. In conclusion, our results provide some further support for the theory of "fundamental causes". However, the absence of larger inequalities for preventable causes in Southern Europe and for injury mortality among women indicate that further empirical and theoretical analysis is necessary to understand when and why the additional resources that a higher socioeconomic status provides, do and do not protect against prevailing health risks.

Trends in inequalities in premature mortality: a study of 3.2 million deaths in 13 European countries.

BACKGROUND: Over the last decades of the 20th century, a widening of the gap in death rates between upper and lower socioeconomic groups has been reported for many European countries. For most countries, it is unknown whether this widening has continued into the first decade of the 21st century. METHODS: We collected and harmonised data on mortality by educational level among men and women aged 30-74 years in all countries with available data: Finland, Sweden, Norway, Denmark, England and Wales, Belgium, France, Switzerland, Spain, Italy, Hungary, Lithuania and Estonia. RESULTS: Relative inequalities in premature mortality increased in most populations in the North, West and East of Europe, but not in the South. This was mostly due to smaller proportional reductions in mortality among the lower than the higher educated, but in the case of Lithuania and Estonia, mortality rose among the lower and declined among the higher educated. Mortality among the lower educated rose in many countries for conditions linked to smoking (lung cancer, women only) and excessive alcohol consumption (liver cirrhosis and external causes). In absolute terms, however, reductions in premature mortality were larger among the lower educated in many countries, mainly due to larger absolute reductions in mortality from cardiovascular disease and cancer (men only). Despite rising levels of education, population-attributable fractions of lower education for mortality rose in many countries. CONCLUSIONS: Relative inequalities in premature mortality have continued to rise in most European countries, and since the 1990s, the contrast between the South (with smaller inequalities) and the East (with larger inequalities) has become stronger. While the population impact of these inequalities has further increased, there are also some encouraging signs of larger absolute reductions in mortality among the lower educated in many countries. Reducing inequalities in mortality critically depends upon speeding up mortality declines among the lower educated, and countering mortality increases from conditions linked to smoking and excessive alcohol consumption such as lung cancer, liver cirrhosis and external causes.

How can inequalities in mortality be reduced? A quantitative analysis of 6 risk factors in 21 European populations.

BACKGROUND: Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity. METHODS: We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor. FINDINGS: In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity. INTERPRETATION: Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible.

Occupational class inequalities in all-cause and cause-specific mortality among middle-aged men in 14 European populations during the early 2000s.

This study analyses occupational class inequalities in all-cause mortality and four specific causes of death among men, in Europe in the early 2000s, and is the most extensive comparative analysis of occupational class inequalities in mortality in Europe so far. Longitudinal data, obtained from population censuses and mortality registries in 14 European populations, from around the period 2000-2005, were used. Analyses concerned men aged 30-59 years and included all-cause mortality and mortality from all cancers, all cardiovascular diseases (CVD), all external, and all other causes. Occupational class was analysed according to five categories: upper and lower non-manual workers, skilled and unskilled manual workers, and farmers and self-employed combined. Inequalities were quantified with mortality rate ratios, rate differences, and population attributable fractions (PAF). Relative and absolute inequalities in all-cause mortality were more pronounced in Finland, Denmark, France, and Lithuania than in other populations, and the same countries (except France) also had the highest PAF values for all-cause mortality. The main contributing causes to these larger inequalities differed strongly between countries (e.g., cancer in France, all other causes in Denmark). Relative and absolute inequalities in CVD mortality were markedly lower in Southern European populations. We conclude that relative and absolute occupational class differences in all-cause and cause specific mortality have persisted into the early 2000's, although the magnitude differs strongly between populations. Comparisons with previous studies suggest that the relative gap in mortality between occupational classes has further widened in some Northern and Western European populations.

The potential for reducing differences in life expectancy between educational groups in five European countries: the effects of obesity, physical inactivity and smoking.

INTRODUCTION: This study assesses the effects of obesity, physical inactivity and smoking on life expectancy (LE) differences between educational groups in five European countries in the early 2000s. METHODS: We estimate the contribution of risk factors on LE differences between educational groups using the observed risk factor distributions and under a hypothetically more optimal risk factor distribution. Data on risk factor prevalence were obtained from the Survey of Health, Ageing and Retirement in Europe study, and data on mortality from census-linked data sets for the age between 50 and 79 according to sex and education. RESULTS: Substantial differences in LE of up to 2.8 years emerged between men with a low and a high level of education in Denmark, Austria and France, and smaller differences among men in Italy and Spain. The educational differences in LE were not as large among women. The largest potential for reducing educational differences was in Denmark (25% among men and 41% among women) and Italy (14% among men). CONCLUSIONS: The magnitude of the effect of unhealthy behaviours on educational differences in LE varied between countries. LE among those with a low or medium level of education could increase in some European countries if the behavioural risk factor distributions were similar to those observed among the highly educated.

Data resource profile: The Swedish Panel Study of Living Conditions of the Oldest Old (SWEOLD).

As the number and proportion of very old people in the population increase, there is a need for improved knowledge about their health and living conditions. The SWEOLD interview surveys are based on random samples of the population aged 77+years. The low non-response rates, the inclusion of institutionalized persons and the use of proxy informants for people unable to be interviewed directly ensure a representative portrayal of this age group in Sweden. SWEOLD began in 1992 and has been repeated in 2002, 2004 and 2011. The survey is based on another national survey, the Swedish Level of Living Survey (LNU), started in 1968 with 10-year follow-up waves. This longitudinal design provides additional data collected when SWEOLD participants were in middle age and early old age. The SWEOLD interviews cover a wide range of areas including health and health behaviour, work history, family, leisure activities and use of health and social care services. Socio-economic factors include education, previous occupation and available cash margin. Health indicators include symptoms, diseases, mobility and activities of daily living (ADL). In addition to self-reported data, the interview includes objective tests of lung function, physical function, grip strength and cognition. The data have been linked to register data, for example for income and mortality follow-ups. Data are available to the scientific community on request. More information about the study, data access rules and how to apply for data are available at the website (www.sweold.se).