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Introduction: Educational differences in cognitive performance among older adults are well documented. Studies that explore this association typically estimate a single average effect of education on cognitive performance. We argue that the processes that contribute to the association between education and cognitive performance are unlikely to have equal effects at all levels of cognitive performance. In this study, we employ an analytical approach that enables us to go beyond averages to examine the association between education and five measures of global and domain-specific cognitive performance across the outcome distributions. Methods: This cross-sectional study included 1,780 older adults aged 58–68 years from the Longitudinal Aging Study Amsterdam. Conditional quantile regression was used to examine variation across the outcome distribution. Cognitive outcomes included Mini-Mental State Examination (MMSE) score, crystallized intelligence, information processing speed, episodic memory, and a composite score of global cognitive performance. Results: The results showed that the associations between education and different cognitive measures varied across the outcome distributions. Specifically, we found that education had a stronger association with crystallized intelligence, MMSE, and a composite cognitive performance measure in the lower tail of performance distributions. The associations between education and information processing speed and episodic memory were uniform across the outcome distributions. Conclusion: Larger associations between education and some domains of cognitive performance in the lower tail of the performance distributions imply that inequalities are primarily generated among individuals with lower performance rather than among average and high performers. Additionally, the varying associations across some of the outcome distributions indicate that estimating a single average effect through standard regression methods may overlook variati

Aims: Social inequalities in mortality persist or even increase in high-income countries. Most evidence is based on a period approach to measuring mortality – that is, data from individuals born decades apart. A cohort approach, however, provides complementary insights using data from individuals who grow up and age under similar social and institutional arrangements. This study compares income inequalities in cohort life expectancy in two Swedish cohorts, one born before and one born after the expansion of the welfare state. Methods: Data on individuals born in Sweden in 1922–1926 and 1951–1955 were obtained from total population registries. These data were linked to individual disposable income from 1970 and 1999 and mortality between 50 and 61 years of age in 1972–1987 and 2001–2016, respectively. We calculated cohort temporary life expectancies in the two cohorts by income and gender. Results: Life expectancy, income, and income inequalities in life expectancy increased between the two cohorts, for both men and women. Women born in 1922–1926 had modest income differences in life expectancy, but pronounced differences emerged in the cohort born in 1951–1955. Men with low incomes born in 1951–1955 had roughly similar life expectancy as those with low incomes born in 1922–1926. Conclusions: Compared with a period approach to life expectancy trends, the cohort approach highlights the stagnation of mortality at the lowest income groups for men and the rapid emergence of a mortality gradient for women. Future research on health inequalities in welfare states should consider underlying factors both from a cohort and period perspective.

BACKGROUND: The objective of this study is to explore the bidirectional, longitudinal associations between self-reported sensory functions (hearing/vision) and cognitive functioning among older adults in Sweden and Denmark during the period 2004-2017. METHODS: The study is based on data from The Survey of Health, Ageing and Retirement in Europe and consists of 3164 persons aged 60 to 93 years. Within-person associations between sensory and cognitive functions were estimated using random intercept cross-lagged panel models. RESULTS: The results indicated that cognitive and sensory functions were associated within their respective domains over time. The results on the bidirectional associations between sensory functions and cognition over time showed weak and statistically non-significant estimates. CONCLUSION: Our study showed no clear evidence for cross-lagged effects between sensory functions and cognitive functioning. Important to note, however, is that using longitudinal data to estimate change within persons is a demanding statistical test and various factors may have contributed to the absence of conclusive evidence in our study. We discuss several of these factors.

Objectives We present a dynamic view of gender patterns in informal caregiving across Europe in a context of sociodemographic transformations. We aim to answer the following research questions: (a) has the gender gap in informal caregiving changed; (b) if so, is this due to changes among women and/or men; and (c) has the gender care gap changed differently across care regimes? Methods Multilevel growth curve models are applied to gendered trajectories of informal caregiving of a panel sample of 50+ Europeans, grouped into 5-year cohorts and followed across 5 waves of the Survey of Health, Ageing and Retirement in Europe survey, stratified by sex and adjusted for several covariates. Results For men in cohorts born more recently, there is a decrease in the prevalence of informal care outside the household, whereas cohort trajectories for women are mostly stable. Prevalence of care inside the household has increased for later-born cohorts for all without discernible changes to the gender care gap. Gender care gaps overall widened among later-born cohorts in the Continental cluster, whereas they remained constant in Southern Europe, and narrowed in the Nordic cluster. Discussion We discuss the cohort effects found in the context of gender differences in employment and care around retirement age, as well as possible demographic explanations for these. The shift from care outside to inside the household, where it mostly consists of spousal care, may require different policies to support carers, whose age profile and possible care burden seem to be increasing.

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.

Objectives The loss of a spouse is followed by a dramatic but short-lived increase in the mortality risk of the survivor. Contrary to expectations, several studies have found this increase to be larger among those with high education. Having a spouse with high education is associated with lower mortality, which suggests that losing a spouse with high education means the loss of a stronger protective factor than losing a spouse with low education. This may disproportionately affect the high educated because of educational homogamy. Methods We use Swedish total population registers to construct an open cohort of 1,842,487 married individuals aged 60–89 during 2007–2016, observing 239,276 transitions into widowhood and 277,946 deaths. We use Poisson regression to estimate relative and absolute mortality risks by own and spousal education among the married and recent and long-term widows. Results We find an absolute increase in mortality risk, concentrated to the first 6 months of widowhood across all educational strata. The relative increase in mortality risk is larger in higher educational strata. Losing a spouse with high education is associated with higher excess mortality, which attenuates this difference. Discussion When considering the timing and the absolute level of excess mortality, we find that the overall patterns of excess mortality are similar across educational strata. We argue that widowhood has a dramatic impact on health, regardless of education.

Objective We investigate recent trends in income inequalities in mortality and the shape of the association in Sweden. We consider all-cause, preventable and non-preventable mortality for three age groups (30–64, 65–79 and 80+ years). Design and setting Repeated cross-sectional design using Swedish total population register data.Participants All persons aged 30 years and older living in Sweden 1995–1996, 2005–2006 and 2016–2017 (n=8 084 620). Methods Rate differences and rate ratios for all-cause, preventable and non-preventable mortality were calculated per income decile and age group. Results From 1995 to 2017, relative inequalities in mortality by income increased in Sweden in the age groups 30–64 years and 65–79 years. Absolute inequalities increased in the age group 65–79 years. Among persons aged 80+ years, inequalities were small. The shape of the income–mortality association was curvilinear in the age group 30–64 years; the gradient was stronger below the fourth percentile. In the age group 65–79 years, the shape shifted from linear in 1995–1996 to a more curvilinear shape in 2016–2017. In the oldest age group (80+ years), varied shapes were observed. Inequalities were more pronounced in preventable mortality compared with non-preventable mortality. Income inequalities in preventable and non-preventable mortality increased at similar rates between 1995 and 2017. Conclusions The continued increase of relative (ages 30–79 years) and absolute (ages 65–79 years) mortality inequalities in Sweden should be a primary concern for public health policy. The uniform increase of inequalities in preventable and non-preventable mortality suggests that a more complex explanatory model than only social causation is responsible for increased health inequalities.

Objectives: Individuals who feel lonely and those who are socially isolated have higher mortality risks than those who are not lonely or socially isolated. However, the importance of loneliness and social isolation for survival is rarely analysed in the same study or with consideration of gender differences. The aim was to examine the separate, mutually adjusted, and combined effects of loneliness and social isolation with mortality in older women and men. Methods: Data from the SWEOLD study, a nationally representative sample of people aged 69+ years living in Sweden, was combined with register data on mortality and analysed using Cox regressions. Results: Mortality was higher among older women and men with higher levels of loneliness or social isolation. Social isolation was more strongly associated with mortality than loneliness and the association remained when controlling for health. The combined effects of loneliness and social isolation did not surpass their independent effects. Conclusion: Loneliness and social isolation is associated with an increased mortality risk, and social integration should be a prioritised target for activities and services involving older adults.

Objectives: Individuals who feel lonely and those who are socially isolated have higher mortality risks than those who are not lonely or socially isolated. However, the importance of loneliness and social isolation for survival is rarely analysed in the same study or with consideration of gender differences. The aim was to examine the separate, mutually adjusted, and combined effects of loneliness and social isolation with mortality in older women and men. Methods: Data from the SWEOLD study, a nationally representative sample of people aged 69+ years living in Sweden, was combined with register data on mortality and analysed using Cox regressions. Results: Mortality was higher among older women and men with higher levels of loneliness or social isolation. Social isolation was more strongly associated with mortality than loneliness and the association remained when controlling for health. The combined effects of loneliness and social isolation did not surpass their independent effects. Conclusion: Loneliness and social isolation is associated with an increased mortality risk, and social integration should be a prioritised target for activities and services involving older adults.

OBJECTIVES: Researchers frequently use the "age-as-leveler" hypothesis to explain decreasing inequality and a weakened relationship between socioeconomic position and health in old age. This study examined whether health status can explain the age pattern in the association between income and mortality as predicted by the age-as-leveler hypothesis. METHOD: This study used longitudinal (1991-2002) data from the SWEOLD and LNU surveys. The analytical sample consisted of 2,619 people aged 54-92 in 2003. Mortality (2003-2014) and income (1991-2000) was collected from Swedish national registers. Poisson regression was used to estimate associations between mortality, income, age, and health status. Average marginal effects were used to visualize interaction effects between income and age. RESULTS: The association between income and mortality weakened in those aged 84 and older. However, health status explained a large part of the effect that age had on the association between income and mortality. Analyses done after stratifying the sample by health status showed that the association between income and mortality was strong in people who reported good health and weak or nonexistent in those who reported poor health. DISCUSSION: Age leveled the income-mortality association; however, health status, not age, explained most of the leveling.

BACKGROUND AND AIMS: Mortality from alcohol-attributable causes is patterned by income. We study analysed the income trajectories 17-19 years prior to death in order to determine: 1) whether income levels and trajectories differ between those who die of alcohol-attributable causes, survivors with similar sociodemographic characteristics, all survivors and those dying of other causes; 2) whether the income trajectories of these groups differ by education; and 3) whether there are differences in income trajectories between Finland and Sweden - two countries with differing levels of alcohol-attributable mortality but similar welfare-provision systems. DESIGN: Retrospective cohort study using individual-level longitudinal register data including information on income, cause of death and socioeconomic position. SETTING: Finland and Sweden Participants: The subjects comprised an 11-percent sample of the Finnish population in 2006-07 and the total population of Sweden aged 45-64 in 2007-08. MEASUREMENTS: Median household income trajectories by educational group were calculated by cause of death and population alive during the respective years. Additionally, propensity score matching was used to match the surviving population to those dying from alcohol-attributable causes with regard to sociodemographic characteristics. FINDINGS: The median income 17-19 years prior to death from alcohol-attributable causes was 92% (Finland) and 91% (Sweden) of survivor income: one year prior to death the respective figures were 47% and 57%. The trajectories differed substantially. Those dying of alcohol-attributable causes had lower and decreasing incomes for substantially longer periods than survivors and people dying from other causes. These differences were more modest among the highly educated. The baseline sociodemographic characteristics of those dying of alcohol causes did not explain the different trajectories. CONCLUSIONS: In Finland and Sweden, income appears to decline substanti

BACKGROUND: Do inequalities in health by income increase or decrease with age? The empirical evidence is not conclusive and competing theories arrive at different conclusions. OBJECTIVE: This study examined inequality in mortality by income over the adult life course with longitudinal data on people aged 30-99 between the years 1990 and 2009. Each person was followed for 19 years. METHODS: We used Swedish total population data with 5,011,414 individual observations. We calculated the probability of having died for ages between 31 and 99. This approach to calculating death risk incorporates selective mortality during the follow-up period into the measure. Age and year standardized income positions were calculated for all individuals. Inequality was assessed by comparing the top 10% income group and the bottom 10% income group. Relative inequality was measured by risk ratios (RR) and absolute inequality by percentage point differences. RESULTS: The results showed that the highest relative income inequality in mortality was at age 56 for men (RR: 4.7) and at age 40 for women (RR: 4.1) with differing patterns across the younger age categories between the sexes. The highest absolute income inequality in mortality was found at age 78 for men (19% difference) and at age 89 for women (14% difference) with similar patterns for both sexes. Both measures of inequality decreased after the peak, with small or no inequalities above age 95. Income inequality in mortality remained in advanced age, with larger absolute inequalities in older ages and larger relative inequalities in younger ages. CONCLUSION: The results for absolute and relative measures of inequality differed substantially; this highlights the importance of discussing and making an active choice of inequality measure. To explain and understand the patterns of inequality in mortality over the adult life course, we conclude that the "age-as-leveler" and "cumulative disadvantage" theories are best applied to an absolute

Objectives: Prior work has examined the shape of the income-mortality association, but work has not compared gradients between countries. In this study, we focus on changes over time in the shape of income-mortality gradients for 4 Nordic countries during a period of rising income inequality. Context and time differentials in shape imply that the relationship between income and mortality is not fixed. Setting: Population-based cohort study of Denmark, Finland, Norway and Sweden. Participants: We collected data on individuals aged 25 or more in 1995 (n=12.98 million individuals, 0.84 million deaths) and 2003 (n=13.08 million individuals, 0.90 million deaths). We then examined the household size equivalised disposable income at the baseline year in relation to the rate of mortality in the following 5 years. Results: A steep income gradient in mortality in men and women across all age groups except the oldest old in Denmark, Finland, Norway and Sweden. From the 1990s to 2000s mortality dropped, but generally more so in the upper part of the income distribution than in the lower part. As a consequence, the shape of the income gradient in mortality changed. The shift in the shape of the association was similar in all 4 countries. Conclusions: A non-linear gradient exists between income and mortality in most cases and because of a more rapid mortality decline among those with high income the income gradient has become steeper over time.

OBJECTIVES: Prior work has examined the shape of the income-mortality association, but work has not compared gradients between countries. In this study, we focus on changes over time in the shape of income-mortality gradients for 4 Nordic countries during a period of rising income inequality. Context and time differentials in shape imply that the relationship between income and mortality is not fixed.SETTING: Population-based cohort study of Denmark, Finland, Norway and Sweden.PARTICIPANTS: We collected data on individuals aged 25 or more in 1995 (n=12.98 million individuals, 0.84 million deaths) and 2003 (n=13.08 million individuals, 0.90 million deaths). We then examined the household size equivalised disposable income at the baseline year in relation to the rate of mortality in the following 5 years.RESULTS: A steep income gradient in mortality in men and women across all age groups except the oldest old in Denmark, Finland, Norway and Sweden. From the 1990s to 2000s mortality dropped, but generally more so in the upper part of the income distribution than in the lower part. As a consequence, the shape of the income gradient in mortality changed. The shift in the shape of the association was similar in all 4 countries.CONCLUSIONS: A non-linear gradient exists between income and mortality in most cases and because of a more rapid mortality decline among those with high income the income gradient has become steeper over time.

This study aims to give an overview of school segregation in Stockholm and its development during the period 2000 to 2010. Further, it aims to examine the effects of school segregation on student achievement. The first part of the study uses register data to measure segregation in schools from 2000 to 2010, the second part utilizes the Stockholm School Survey 2010 for measuring student demographics and school achievement. The examination of school segregation in Stockholm reveal a substantial segregation between schools, on both levels of non-native background and parental education. The trends have been stable for segregation on non-native background and decreased slightly for parental education from 2000 to 2010, however, they both remain at relatively high levels. Multilevel analysis show that student school achievement is negatively impacted by increased concentration of students with disadvantaged characteristics, i.e. higher levels of students with non-native background and lower levels of parental education. The results also indicate that non-native students are more negatively affected by these effects. Further, the analysis tests for threshold effects of segregation, but no such effects can be identified and it seems to be more or less linear, higher degree of segregation leads to stronger effects. It is concluded that differences between schools have an unequal and unfair effect on student school achievement.

Background As a starting point we review the existing evidence on welfare states, health and health inequalities, from 2005 onwards. Three different approaches emerge in these previous studies – the welfare regime approach, the welfare institutions approach and the social spending approach. While no clear picture emerges for the welfare regime approach, summarising findings regarding the institutional and expenditure approach suggest that a higher degree of generosity and social spending benefits public health. These are therefore approaches we follow to arrive at a better understanding of what type of policies are linked to smaller inequalities in health across the life-course. Methods A starting point in the analyses is the relation between income, poverty and mortality. The cross-national variation in poverty rates, both absolute (poverty threshold) and relative (60 per cent of median income) measure, and mortality rates in European 26 countries will be considered. The second step in the analysis focuses on the relationship between social rights and subjective health in Europe, with a focus on national variations and changes in social rights to levels and changes in subjective health outcomes across several countries. The data holds information regarding social rights and social expenditure, including individual data from EU-SILC. Results Preliminary results indicate that it is the totality of social protection that is important rather than individual policies. A sub-study regarding social rights and health among youth highlight also the importance of active and passive labour market policy in the 16 included countries. Conclusions In sum our diverse approach to analysing welfare state efforts and their links to health inequalities suggest that there is a clear relationship between more ambitious policies and smaller inequalities in health. These results are discussed in relation to previous findings.

Background: The amount and share of older people in developed countries are growing dramatically and poverty among them is relatively high. If life expectancy continues to increase and a larger segment of the population reaches old age, we may expect to see increased poverty rates among the old. Objective: The objective of this study was to examine poverty rates in six cohorts aged 63-101 in Sweden during 1990 to 2006, as well as the impact of selective mortality on old age poverty rates during the study period. Methods: We used Swedish total population data with 1 293 434 individual observations. We calculated poverty rates for six cohorts of women and men aged 63 to 86 at baseline, and followed the cohorts for 15 years. The impact of selective mortality on poverty rates was assessed by comparing poverty in the complete cohort with a sample of the cohort that survived for the duration of the follow-up period. Results: Poverty rates increased with age for men and women in all six cohorts. Women experienced substantially higher poverty rates than did men. Those who survived during the 15-year follow-up period had 8-32 percent lower poverty rate at baseline compared to the complete cohort poverty rate. Men experienced larger poverty differences between the complete cohort sample and the survivor sample in the younger cohorts than did women. Women experienced larger poverty differences between the complete sample and the survivor sample in the oldest cohort than did men. Conclusion: Selective mortality influences poverty rates greatly. In a scenario where everyone lives longer and other things is held constant, the results from this study suggest that poverty rates among the old could be substantially higher.

Objectives Researchers frequently use the “age-as-leveler” hypothesis to explain decreasing inequality and a weakened relationship between socioeconomic position and health in old age. This study examined whether health status can explain the age pattern in the association between income and mortality as predicted by the age-as-leveler hypothesis. Method This study used longitudinal (1991–2002) data from the SWEOLD and LNU surveys. The analytical sample consisted of 2619 people aged 54 to 92 in 2003. Mortality (2003-2014) and income (1991-2000) was collected from Swedish national registers. Poisson regression was used to estimate associations between mortality, income, age, and health status. Average marginal effects were used to visualize interaction effects between income and age. Results The association between income and mortality weakened in those 84 and older. However, health status explained a large part of the effect that age had on the association between income and mortality. Analyses done after stratifying the sample by health status showed that the association between income and mortality was strong in people who reported good health and weak or non-existent in those who reported poor health. Discussion Age leveled the income-mortality association; however, health status, not age, explained most of the leveling.