Rising inequality in mortality among working-age men and women in Sweden: a national registry-based repeated cohort study, 1990-2007

Has it always paid to be rich? Income and cause-specific mortality in southern Sweden 1905-2014

Socio-economic differences in mortality are among the most pervasive characteristics of Western societies. While the mortality gradient by income is well established for the period after 1970, knowledge about the origins of this gradient is still rudimentary. We analyse the association between income and cause-specific adult mortality during the period 1905-2014 in an area of southern Sweden, using competing-risk hazard models with individual-level longitudinal data for over 2.2 million person-years and over 35,000 deaths. We find that the present-day income gradient in adult mortality emerged only in the period after the Second World War and did so for the leading causes of death and for men and women largely simultaneously.

Trends in socioeconomic inequalities in life expectancy and lifespan variation in Chile

Background

Socioeconomic disparities in life expectancy are well-documented in various contexts, including Chile. However, there is a lack of research examining trends in life expectancy inequalities and lifespan variation over time. Addressing these gaps can provide crucial insights into the dynamics of health inequalities.

Methods

This study utilizes data from census records, population surveys, and death certificates to compare the life expectancy and the lifespan variation at age 26 of individuals according to their rank in the distribution of years of education within their own birth cohort. The analysis spans three periods (1991, 2002, and 2017) and focuses on two educational groups: individuals in the first (lowest) quintile and tenth (highest) decile of educational attainment. Changes in life expectancy are disaggregated by major causes of death to elucidate their contributions to overall trends.

Results

Consistent with existing literature, our findings confirm that individuals with lower education levels experience lower life expectancy and higher lifespan variation compared to their more educated counterparts. Notably, by 2017, life expectancy for individuals in the lowest quintile of education has caught up with that of the top decile in 1991, albeit with contrasting trends between genders. Among women, the gap has reduced, while it has increased for males. Moreover, lifespan variation decreased (increased) over time for individuals in the tenth decile (first quintile). The leading causes of death that explain the increase in life expectancy in women and men in the tenth decile as well as women in the first quintile are cardiovascular, cancer, respiratory and digestive diseases. In the case of males in the first quintile, few gains have been made in life expectancy resulting from cancer and a negative contribution is associated with digestive conditions.

Conclusions

This study underscores persistent socioeconomic disparities in life expectancy in Chile, emphasizing the importance of ongoing monitoring of health inequalities across different demographic segments. The gender-specific and educational gradient trends highlight areas for targeted interventions aimed at reducing health disparities and improving overall population health outcomes. Further research is warranted to delve into specific causes of death driving life expectancy differentials and to inform evidence-based policy interventions.

Income-based differences in healthcare utilization in relation to mortality in the Swedish population between 2004-2017: A nationwide register study

BACKGROUND

Despite universal healthcare, socioeconomic differences in healthcare utilization (HCU) persist in modern welfare states. However, little is known of how HCU inequalities has developed over time. The aim of this study is to assess time trends of differences in utilization of primary and specialized care for the lowest (Q1) and highest (Q5) income quantiles and compare these to mortality.

METHODS AND FINDINGS

Using a repeated cross-sectional register-based study design, data on utilization of (i) primary; (ii) specialized outpatient; and (iii) inpatient care, as well as (iv) cause of death, were linked to family income and sociodemographic control variables (for instance, country of origin and marital status). The study sample comprised all individuals 16 years or older residing in Sweden any year during the study period and ranged from 7.1 million in year 2004 to 8.0 million year 2017. HCU and mortality for all disease as well as for the 5 disease groups causing most deaths were compared for the Q1 and Q5 using logistic regression, adjusting for sex, age, marital status, and birth country. The primary outcome measures were adjusted odds ratios (ORs), and regression coefficients of annual changes in these ORs log-transformed. Additionally, we conducted negative binominal regression to calculate adjusted rate ratios (RRs) comparing Q1 and Q5 with regard to number of disease specific healthcare encounters ≤5 years prior to death. In 2017, for all diseases combined, Q1 utilized marginally more primary and specialized outpatient care than Q5 (OR 1.07, 95% CI [1.07, 1.08]; p < 0.001, and OR 1.04, 95% CI [1.04, 1.05]; p < 0.001, respectively), and considerably more inpatient care (OR 1.44, 95% CI [1.43, 1.45]; p < 0.001). The largest relative inequality was observed for mortality (OR 1.78, 95% CI [1.74, 1.82]; p < 0.001). This pattern was broadly reproduced for each of the 5 disease groups. Time trends in HCU inequality varied by level of care. Each year, Q1 (versus Q5) used more inpatient care and suffered increasing mortality rates. However, utilization of primary and specialized outpatient care increased more among Q5 than in Q1. Finally, group differences in number of healthcare encounters ≤5 years prior to death demonstrated a similar pattern. For each disease group, primary and outpatient care encounters were fewer in Q1 than in Q5, while inpatient encounters were similar or higher in Q1. A main limitation of this study is the absence of data on self-reported need for care, which impedes quantifications of HCU inequalities each year.

CONCLUSIONS

Income-related differences in the utilization of primary and specialized outpatient care were considerably smaller than for mortality, and this discrepancy widened with time. Facilitating motivated use of primary and outpatient care among low-income groups could help mitigate the growing health inequalities.

Trends in the shape of the income-mortality association in Sweden between 1995 and 2017: a repeated cross-sectional population register study

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.

Inequalities in all-cause and cause-specific mortality across the life course by wealth and income in Sweden: a register-based cohort study

Background

Wealth inequalities are increasing in many countries, but their relationship to health is little studied. We investigated the association between individual wealth and mortality across the adult life course in Sweden.

Methods

We studied the Swedish adult population using national registers. The amount of wealth tax paid in 1990 was the main exposure of interest and the cohort was followed up for 18 years. Relative indices of inequality (RII) summarize health inequalities across a population and were calculated for all-cause and cause-specific mortality for six different age groups, stratified by sex, using Poisson regression. Mortality inequalities by wealth were contrasted with those assessed by individual and household income. Attenuation by four other measures of socio-economic position and other covariates was investigated.

Results

Large inequalities in mortality by wealth were observed and their association with mortality remained more stable across the adult life course than inequalities by income-based measures. Men experienced greater inequalities across all ages (e.g. the RII for wealth was 2.58 [95% confidence interval (CI) 2.54–2.63) in men aged 55–64 years compared with 2.29 (95% CI 2.24–2.34) for women aged 55–64 years), except among the over 85s. Adjustment for covariates, including four other measures of socio-economic position, led to only modest reductions in the association between wealth and mortality.

Conclusions

Wealth is strongly associated with mortality throughout the adult life course, including early adulthood. Income redistribution may be insufficient to narrow health inequalities—addressing the increasingly unequal distribution of wealth in high-income countries should be considered.

Educational inequalities in self-rated health and social relationships - analyses based on the European Social Survey 2002-2016

BACKGROUND

While there is evidence for educational health inequalities in Europe, studies on time trends and on the explanatory contribution of social relations are less consistent. It has been shown that the use of welfare state typologies can be helpful to examine health inequalities in a comparative perspective. Against this background, analyses are focused on three research questions: (1) How did educational inequalities in self-rated health (SRH) develop between 2002 and 2016 in different European countries? (2) In how far can structural and functional aspects of social relations help to explain these inequalities? (3) Do these explanatory contributions vary between different types of welfare states?

METHODS

Data stem from the European Social Survey. Data from 20 countries across 8 waves (2002-2016) was included in the sample (allocated to 5 types of welfare states). Structural aspects of social relations were measured by living with a partner, frequency of social contacts and social participation. Availability of emotional support was used as functional dimension. Educational level was assessed based on the International Standard Classification of Education. SRH was measured in all waves on a five-point scale by one question: "How is your health in general? Would you say it is very good, good, fair, bad or very bad?"

RESULTS

Across all countries, educational inequalities were increasing between 2002 and 2016. Explanatory contribution of emotional support, living with a partner, and social contacts was small (5% or less across the eight waves). Social participation explained 11% of the educational inequalities in SRH in the European countries. There were small variations in the explanatory contribution of social participation between welfare states.

CONCLUSIONS

Promoting social participation, especially of people with low education is a possible intervention to reduce inequalities in SRH in Europe.

Income trajectories prior to alcohol-attributable death in Finland and Sweden

BACKGROUND AND AIMS

Mortality from alcohol-attributable causes is patterned by income. We study 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 socio-demographic 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 socio-economic status.

SETTING

Finland and Sweden.

PARTICIPANTS

The subjects comprised an 11% sample of the Finnish population in 2006-07 and the total population of Sweden aged 45-64 years 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 socio-demographic characteristics.

FINDINGS

The median income 17-19 years prior to death from alcohol-attributable causes was 92% (Finland) and 91% (Sweden) of survivor income: 1 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 individuals. The baseline socio-demographic characteristics of those dying of alcohol causes did not explain the different trajectories.

CONCLUSIONS

In Finland and Sweden, income appears to decline substantially before alcohol-attributable death. Highly educated individuals may be able to buffer the negative effects of extensive alcohol use on their income level. Income trajectories are similar in Finland and Sweden, despite marked differences in the level of alcohol-attributable mortality.

Increasing income-based inequality in suicide mortality among working-age women and men, Sweden, 1990-2007: is there a point of trend change?

BACKGROUND

Income inequalities have risen from the 1990s to 2000s, following the economic recession in 1994, but little research has investigated socioeconomic inequalities in suicide mortality for working-age men and women (aged between 30 and 64 years) over the time using longitudinal data in Sweden.

METHODS

Using Swedish national register data between 1990 and 2007 as a series of repeated cohort studies with a 3-year follow-up (sample sizes were approximately 3.7 to 4.0 million in each year), relative and slope indices of inequality (RII and SII respectively) based on quintiles of individual disposable income were calculated and tested for temporal trends.

RESULTS

SII for the risk of suicide mortality ranged from 27.6 (95% CI 19.5 to 35.8) to 44.5 (36.3 to 52.6) in men and 5.2 (0.2 to 10.4) to 16.6 (10.7 to 22.4) in women (per 100 000 population). In men, temporal trends in suicide inequalities were stable in SII but increasing in RII by 3% each year (p=0.002). In women, inequalities tended to increase in both RII and SII, especially after the late-1990s, with 10% increment in RII per year (p<0.001).

CONCLUSIONS

Despite universal social security and generous welfare provision, income inequalities in suicide were considerable and have widened, especially in women. The steeper rise in women may be partially related to higher job insecurity and poorer working conditions in the female dominated public sector after the recession. To reduce health consequences following an economic crisis and widened income inequalities, additional measures may be necessary in proportion to the levels of financial vulnerability.

Explaining mental health inequalities in Northern Sweden: a decomposition analysis

Background: There has been a substantial increase of income inequalities in Sweden over the last 20 years, which also could be reflected in health inequalities, including mental health inequalities. Despite the growing body of literature focusing on health inequalities in Sweden, income-related inequalities in mental health have received little attention. Particularly scarce are research from Northern Sweden and examinations of the social determinants of health inequalities.

Objectives: The present study seeks to provide evidence regarding inequalities in mental health in Northern Sweden. The specific aims were to (1) quantify the income-related inequality in mental health in Northern Sweden, and (2) determine the contribution of social determinants to the inequality.

Methods: The study population comprised 25,646 participants of the 2014 Health on Equal Terms survey in the four northernmost counties of Sweden, aged 16 to 84 years old. Income-related inequalities in mental health were quantified by the concentration index and further decomposed by applying Wagstaff-type decomposition analysis.

Results: The overall concentration index of mental health in Northern Sweden was

−0.15 (95% CI: −0.17 to −0.13), indicating income inequalities in mental health disfavoring the less affluent population. The decomposition analysis results revealed that socio-economic conditions, including employment status (31%), income (22.6%), and cash margin (14%), made the largest contribution to the pro-rich inequalities in mental health. The second-largest contribution came from demographic factors, mainly age (11.3%) and gender (6%). Psychosocial factors were of smaller importance, with perceived discrimination (8%) and emotional support (3.4%) making moderate contributions to the health inequalities. Conclusions: The present study demonstrates substantial income-related mental health inequalities in Northern Sweden, and provides insights into their underpinnings. These findings suggest that addressing the root causes is essential for promoting mental health equity in this region.

The shape of the association between income and mortality in old age: A longitudinal Swedish national register study

This study used data on the total population to examine the longitudinal association between midlife income and mortality and late-life income and mortality in an aging Swedish cohort. We specifically examined the shape of the associations between income and mortality with focus on where in the income distribution that higher incomes began to provide diminishing returns. The study is based on a total Swedish population cohort between the ages of 50 and 60 years in 1990 (n=801,017) followed in registers for up to 19 years. We measured equivalent disposable household income in 1990 and 2005 and mortality between 2006 and 2009. Cox proportional hazard models with penalized splines (P-spline) enabled us to examine for non-linearity in the relationship between income and mortality. The results showed a clear non-linear association. The shape of the association between midlife (ages 50-60) income and mortality was curvilinear; returns diminished as income increased. The shape of the association between late-life (ages 65-75) income and mortality was also curvilinear; returns diminished as income increased. The association between late-life income and mortality remained after controlling for midlife income. In summary, the results indicated that a non-linear association between income and mortality is maintained into old age, in which higher incomes give diminishing returns.

Cumulative Advantage in an Egalitarian Country? Socioeconomic Health Disparities over the Life Course in Sweden

According to the cumulative advantage hypothesis, health gaps between socioeconomic groups widen with age. In the United States, studies have supported this hypothesis. Outside this context, evidence remains scarce. The present study tests the cumulative advantage hypothesis in Sweden, a society that contrasts sharply with the United States in terms of policies designed to reduce social disparities in health-related resources. I draw on longitudinal data from the Swedish Level of Living Survey (N = 9,412 person-years), spanning the period between 1991 and 2010. The results show that gaps in self-rated health increase from early to middle adulthood. This applies to differences between educational groups and between occupational classes. In older age, health gaps remain constant. Cross-cohort analyses reveal a rising importance of cumulative advantage between educational groups but not between occupational classes. I conclude that the forces of accumulation prevail even in one of the most egalitarian welfare states.

The contribution of education, social class and economic activity to the income-mortality association in alcohol-related and other mortality in Finland in 1988-2012

AIMS

First, to quantify trends in the contribution of alcohol-related mortality to mortality disparity in Finland by income quintiles. Secondly, to estimate the degree to which education, social class and economic activity explain the income-mortality association in alcohol-related and other mortality in four periods within 1988-2012.

DESIGN

Register-based longitudinal study using an 11% random sample of Finnish residents linked to socio-economic and mortality data in 1988-2012 augmented with an 80% sample of all deaths during 1988-2007. Mortality rates and discrete time survival regression models were used to assess the income-mortality association following adjustment for covariates in 6-year periods after baseline years of 1988, 1994, 2001, and 2007.

SETTING

Finland.

PARTICIPANTS

Individuals aged 35-64 years at baselines. For the four study periods for men/women, the final data set comprised, respectively, 26,360/12,825, 22,561/11,423, 20,342/11,319 and 2651/1514 deaths attributable to other causes and 7517/1217, 8199/1450, 9807/2116, 1431/318 deaths attributable to alcohol-related causes.

MEASUREMENTS

Alcohol-related deaths were analysed with household income, education, social class and economic activity as covariates.

FINDINGS

The income disparity in mortality originated increasingly from alcohol-related causes of death, in the lowest quintile the contribution increasing from 28 to 49% among men and from 11 to 28% among women between periods 1988-93 and 2007-12. Among men, socio-economic characteristics attenuated the excess mortality during each study period in the lowest income quintile by 51-62% in alcohol-related and other causes. Among women, in the lowest quintile the attenuation was 47-76% in other causes, but there was a decreasing tendency in the proportion explained by the covariates in alcohol-related mortality.

CONCLUSIONS

The income disparity in mortality among working-age Finns originates increasingly from alcohol-related causes of death. Roughly half the excess mortality in the lowest income quintile during 2007-12 is explained by the covariates of household income, education, social class and economic activity.

Decreasing educational differences in mortality over 40 years: evidence from the Turin Longitudinal Study (Italy)

BACKGROUND

Recent studies suggest that inequalities in premature mortality have continued to rise over the last decade in most European countries, but not in southern European countries.

METHODS

In this study, we assess long-term trends (1971-2011) in absolute and relative educational inequalities in all-cause and cause-specific mortality in the Turin Longitudinal Study (Turin, Italy), a record-linkage study including all individuals resident in Turin in the 1971, 1981, 1991 and 2001 censuses, and aged 30-99 years (more than 2 million people). We examined mortality for all causes, cardiovascular disease (CVD), all cancers and specific cancers (lung, breast), as well as smoking and alcohol-related mortality.

RESULTS

Overall mortality substantially decreased in all educational groups over the study period, although cancer rates only slightly declined. Absolute inequalities decreased for both genders (SII=962/694 in men/women in 1972-1976 and SII=531/259 in 2007-2011, p<0.01). Among men, absolute inequalities for CVD and alcohol-related causes declined (p<0.05), while remaining stable for other causes of death. Among women, declines in absolute inequalities were observed for CVD, smoking and alcohol-related causes and lung cancer (p<0.05). Relative inequalities in all-cause mortality remained stable for men and decreased for women (RII=1.92/2.03 in men/women in 1972-1976 and RII=2.15/1.32 in 2007-2011). Among men, relative inequalities increased for smoking-related causes, while among women they decreased for all cancers, CVD, smoking-related causes and lung cancer (p<0.05).

CONCLUSIONS

Absolute inequalities in mortality strongly declined over the study period in both genders. Relative educational inequalities in mortality were generally stable among men; while they tended to narrow among women. In general, this study supports the hypothesis that educational inequalities in mortality have decreased in southern European countries.

Growing gaps: The importance of income and family for educational inequalities in mortality among Swedish men and women 1990–2009

Aims: Although absolute levels of mortality have decreased among Swedish men and women in recent decades, educational inequalities in mortality have increased, especially among women. The aim of this study is to disentangle the role of income and family type in educational inequalities in mortality in Sweden during 1990–2009, focusing on gender differences. Methods: Data on individuals born in Sweden between the ages of 30 and 74 years were collected from total population registries, covering a total of 529,275 deaths and 729 million person-months. Temporary life expectancies (age 30–74 years) by education were calculated using life tables, and rate ratios were estimated with Poisson regression with robust standard errors. Results: Temporary life expectancy improved among all groups except low educated women. Relative educational inequalities in mortality (RRs) increased from 1.79 to 1.98 among men and from 1.78 to 2.10 among women. Variation in family type explained some of the inequalities among men, but not among women, and did not contribute to the trend. Variation in income explained a larger part of the educational inequalities among men compared to women and also explained the increase in educational inequalities in mortality among men and women. Conclusions: Increasing educational inequalities in mortality in Sweden may be attributed to the increase in income inequalities in mortality.