Income differences in partial life expectancy between ages 35 and 64 from 1988 to 2017: the contribution of living arrangements.

BACKGROUND: Socioeconomic differences in mortality among the working-age population have increased in several high-income countries. The aim of this study was to assess whether changes in the living arrangement composition of income groups have contributed to changing income differences in life expectancy during the past 30 years. METHODS: We used Finnish register data covering the total population to calculate partial life expectancies between ages 35 and 64 by income quartile in 1988-2017. The contribution of living arrangements to these differences was assessed by direct standardization. Decomposition methods were used to determine the extent of life expectancy differences due to external (accidental, violent and alcohol-related) causes of death. RESULTS: The life expectancy gap between the highest and lowest income quartile increased until 2003-07, but decreased thereafter. The contribution of living arrangements to these differences remained mostly stable: 36-39% among men and 15-23% among women. Those living without children consistently showed the greatest life expectancy differences by income. External causes of death significantly contributed to income differences in life expectancy. CONCLUSIONS: The living arrangement composition of income groups explained part of the differences in life expectancy, but not their changes. Our results on the contribution of external causes of death imply that both the persistent income gradient in mortality as well as the mortality disparities by living arrangements are at least partially related to similar selection or causal mechanisms.

A distributional approach to measuring lifespan stratification.

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

Association between a history of clinical depression and dementia, and the role of sociodemographic factors: population-based cohort study.

BACKGROUND: Depression is associated with an increased dementia risk, but the nature of the association in the long-term remains unresolved, and the role of sociodemographic factors mainly unexplored. AIMS: To assess whether a history of clinical depression is associated with dementia in later life, controlling for observed sociodemographic factors and unobserved factors shared by siblings, and to test whether gender, educational level and marital status modify the association. METHOD: We conducted a national cohort study of 1 616 321 individuals aged 65 years or older between 2001 and 2018 using administrative healthcare data. A history of depression was ascertained from the national hospital register in the period 15-30 years prior to dementia follow-up. We used conventional and sibling fixed-effects Cox regression models to analyse the association between a history of depression, sociodemographic factors and dementia. RESULTS: A history of depression was related to an adjusted hazard ratio of 1.27 (95% CI 1.23-1.31) for dementia in the conventional Cox model and of 1.55 (95% CI 1.09-2.20) in the sibling fixed-effects model. Depression was related to an elevated dementia risk similarly across all levels of education (test for interaction, P = 0.84), but the association was weaker for the widowed than for the married (P = 0.003), and stronger for men than women (P = 0.006). The excess risk among men attenuated following covariate adjustment (P = 0.10). DISCUSSION: This study shows that a history of depression is consistently associated with later-life dementia risk. The results support the hypothesis that depression is an aetiological risk factor for dementia.

Exploring the longevity advantage of doctorates in Finland and Sweden: The role of smoking- and alcohol-related causes of death.

AIMS: Tobacco smoking and alcohol use contribute to differences in life expectancy between individuals with primary, secondary and tertiary education. Less is known about the contribution of these risk factors to differences at higher levels of education. We estimate the contribution of smoking and alcohol use to the life-expectancy differences between the doctorates and the other tertiary-educated groups in Finland and in Sweden. METHODS: We used total population data from Finland and Sweden from 2011 to 2015 to calculate period life expectancies at 40 years of age. We present the results by sex and educational attainment, the latter categorised as doctorate or licentiate degrees, or other tertiary. We also present an age and cause of death decomposition to assess the contribution of deaths related to smoking and alcohol. RESULTS: In Finland, deaths related to smoking and alcohol constituted 48.6% of the 2.1-year difference in life expectancy between men with doctorate degrees and the other tertiary-educated men, and 22.9% of the 2.1-year difference between women, respectively. In Sweden, these causes account for 22.2% of the 1.9-year difference among men, and 55.7% of the 1.6-year difference among women, which in the latter case is mainly due to smoking. Conclusions: Individuals with doctorates tend to live longer than other tertiary-educated individuals. This difference can be partly attributed to alcohol consumption and smoking.

The Impact of Unemployment on Antidepressant Purchasing: Adjusting for Unobserved Time-constant Confounding in the g-Formula.

BACKGROUND: The estimated effect of unemployment on depression may be biased by time-varying, intermediate, and time-constant confounding. One of the few methods that can account for these sources of bias is the parametric g-formula, but until now this method has required that all relevant confounders be measured. METHODS: We combine the g-formula with methods to adjust for unmeasured time-constant confounding. We use this method to estimate how antidepressant purchasing is affected by a hypothetical intervention that provides employment to the unemployed. The analyses are based on an 11% random sample of the Finnish population who were 30-35 years of age in 1995 (n = 49,753) and followed until 2012. We compare estimates that adjust for measured baseline confounders and time-varying socioeconomic covariates (confounders and mediators) with estimates that also include individual-level fixed-effect intercepts. RESULTS: In the empirical data, around 10% of person-years are unemployed. Setting these person-years to employed, the g-formula without individual intercepts found a 5% (95% confidence interval [CI] = 2.5%, 7.4%) reduction in antidepressant purchasing at the population level. However, when also adjusting for individual intercepts, we find no association (-0.1%; 95% CI = -1.8%, 1.5%). CONCLUSIONS: The results indicate that the relationship between unemployment and antidepressants is confounded by residual time-constant confounding (selection). However, restrictions on the effective sample when using individual intercepts can compromise the validity of the results. Overall our approach highlights the potential importance of adjusting for unobserved time-constant confounding in epidemiologic studies and demonstrates one way that this can be done.

The Association Between Income and Psychotropic Drug Purchases: Individual Fixed Effects Analysis of Annual Longitudinal Data in 2003-2013.

BACKGROUND: Previous cross-sectional studies show that low income is associated with poor mental health. However, longitudinal research has produced varying results. We assess whether low income is associated with increased psychotropic drug use after accounting for confounding by observed time-varying, and unobserved stable individual differences. METHODS: The longitudinal register-based data comprises an 11% nationally representative random sample of Finnish residents aged 30-62 years between the years 2003 and 2013. The analytic sample includes 337,456 individuals (2,825,589 person-years). We estimate the association between annual income and psychotropic purchasing using ordinary-least-squares and fixed effects models, the latter controlling for all unobserved time-invariant individual characteristics. RESULTS: The annual prevalence of psychotropic purchasing was 15%; 13% among men and 18% among women. Adjusted for age squared, sex and calendar year, the doubling of income decreased the probability of purchases by 4 percentage points (95% confidence interval: 4,4) in the ordinary-least-squares model. We observed no association after further adjusting for observed sociodemographic characteristics and unobserved individual differences in the fixed effects specification. CONCLUSIONS: Following adjustment for an extensive set of confounders, no contemporaneous association between variations in annual individual income and psychotropic drug purchasing was observed. Similar results were obtained irrespective of baseline income level and sex. The results imply that indirect selection based on preexisting individual characteristics plays a major role in explaining the association between variations in income measured over the short term, and psychotropic drug purchases. The association appears largely attributable to unobserved, stable individual characteristics. See video abstract at, http://links.lww.com/EDE/B463.

Comparing Observed and Unobserved Components of Childhood: Evidence From Finnish Register Data on Midlife Mortality From Siblings and Their Parents.

In this study, we argue that the long arm of childhood that determines adult mortality should be thought of as comprising an observed part and its unobserved counterpart, reflecting the observed socioeconomic position of individuals and their parents and unobserved factors shared within a family. Our estimates of the observed and unobserved parts of the long arm of childhood are based on family-level variance in a survival analytic regression model, using siblings nested within families as the units of analysis. The study uses a sample of Finnish siblings born between 1936 and 1950 obtained from Finnish census data. Individuals are followed from ages 35 to 72. To explain familial influence on mortality, we use demographic background factors, the socioeconomic position of the parents, and the individuals' own socioeconomic position at age 35 as predictors of all-cause and cause-specific mortality. The observed part-demographic and socioeconomic factors, including region; number of siblings; native language; parents' education and occupation; and individuals' income, occupation, tenancy status, and education-accounts for between 10 % and 25 % of the total familial influence on mortality. The larger part of the influence of the family on mortality is not explained by observed individual and parental socioeconomic position or demographic background and thus remains an unobserved component of the arm of childhood. This component highlights the need to investigate the influence of childhood circumstances on adult mortality in a comprehensive framework, including demographic, social, behavioral, and genetic information from the family of origin.

Childhood family background and mortality differences by income in adulthood: fixed-effects analysis of Finnish siblings.

BACKGROUND: Events and conditions during childhood have been found to affect health and mortality at later stages in life. We studied whether childhood conditions explain the observed all-cause and cause-specific mortality disparity between income groups in adulthood. METHODS: We used a 10% register linked sample of Finnish households in the 1950 census identifying 51 647 children aged 0-14 with at least one sibling of the same sex and followed them for mortality from the age 35 until ages 57-72. Using Cox regression with sibling design, we estimated hazard ratios (HRs) for quintiles of personal income at the age 35. We controlled for observed childhood family sociodemographic characteristics and allowed different baseline hazard functions for each group of siblings in order to control for all shared unobserved characteristics within families. RESULTS: Accounting for the observed childhood characteristics did not attenuate the income disparity in mortality, whereas adjusting for the sociodemographic characteristics in adulthood reduced the difference of the lowest quintiles by ∼70% among men and 30-40% among women. Controlling for the unobserved childhood characteristics in the sibling design did not provide any further explanation to the income differentials in mortality. This applied also for cause-specific mortality among men. HR to the cardiovascular diseases was 38% higher and 73% higher in alcohol, accidental and violent causes in the lowest quintile even after adjusting for all observed and unobserved characteristics. CONCLUSIONS: The excess mortality in the lowest income quintiles persists even after shared childhood family conditions among siblings are accounted for.

Social differences in avoidable mortality between small areas of 15 European cities: an ecological study.

BACKGROUND: Health and inequalities in health among inhabitants of European cities are of major importance for European public health and there is great interest in how different health care systems in Europe perform in the reduction of health inequalities. However, evidence on the spatial distribution of cause-specific mortality across neighbourhoods of European cities is scarce. This study presents maps of avoidable mortality in European cities and analyses differences in avoidable mortality between neighbourhoods with different levels of deprivation. METHODS: We determined the level of mortality from 14 avoidable causes of death for each neighbourhood of 15 large cities in different European regions. To address the problems associated with Standardised Mortality Ratios for small areas we smooth them using the Bayesian model proposed by Besag, York and Mollié. Ecological regression analysis was used to assess the association between social deprivation and mortality. RESULTS: Mortality from avoidable causes of death is higher in deprived neighbourhoods and mortality rate ratios between areas with different levels of deprivation differ between gender and cities. In most cases rate ratios are lower among women. While Eastern and Southern European cities show higher levels of avoidable mortality, the association of mortality with social deprivation tends to be higher in Northern and lower in Southern Europe. CONCLUSIONS: There are marked differences in the level of avoidable mortality between neighbourhoods of European cities and the level of avoidable mortality is associated with social deprivation. There is no systematic difference in the magnitude of this association between European cities or regions. Spatial patterns of avoidable mortality across small city areas can point to possible local problems and specific strategies to reduce health inequality which is important for the development of urban areas and the well-being of their inhabitants.

Socioeconomic inequalities in mortality in 16 European cities.

AIMS: To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. METHODS: A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index of socioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. RESULTS: We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronounced for men than women, and relative inequalities were greater in Eastern and Northern European cities, and lower in some Western (men) and Southern (women) European cities. The pattern of excess number of deaths was slightly different, with greater inequality in some Western and Northern European cities and also in Budapest, and lower among women in Madrid and Barcelona. CONCLUSIONS: In this study, we report a consistent pattern of socioeconomic inequalities in mortality in 16 European cities. Future studies should further explore specific causes of death, in order to determine whether the general pattern observed is consistent for each cause of death.

Contribution of causes of death to changing inequalities in life expectancy by income in Finland, 1997-2020.

BACKGROUND: Socioeconomic inequalities in mortality originate from different causes of death. Alcohol-related and smoking-related deaths are major drivers of mortality inequalities across Europe. In Finland, the turn from widening to narrowing mortality disparities by income in the early 2010s was largely attributable to these causes of death. However, little is known about recent inequalities in life expectancy (LE) and lifespan variation. METHODS: We used individual-level total population register-based data with annual information on disposable household income and cause-specific mortality for ages 30-95+, and assessed the contribution of smoking on mortality using the Preston-Glei-Wilmoth method. We calculated trends in LE at age 30 and SD in lifespan by income quintile in 1997-2020 and conducted age and cause-of-death decompositions of changes in LE. RESULTS: Disparity in LE and lifespan variation by income increased in 2015-2020, largely attributable to the stagnation of both measures in the lowest income quintile. The LE gap between the extreme quintiles in 2018-2020 was 11.2 (men) and 5.9 (women) years, of which roughly 40% was attributable to alcohol and smoking. However, the recent widening of the gap and the stagnation in LE in the lowest quintile over time were not driven by any specific cause-of-death group. CONCLUSIONS: After a decade of narrowing inequalities in LE and lifespan variation in Finland, the gaps between income groups are growing again. Increasing LE disparity and stagnating mortality on the lowest income levels are no longer attributable to smoking and alcohol-related deaths but are more comprehensive, originating from most cause-of-death groups.

Excess winter mortality in Finland, 1971-2019: a register-based study on long-term trends and effect modification by sociodemographic characteristics and pre-existing health conditions.

OBJECTIVES: Excess winter mortality is a well-established phenomenon across the developed world. However, whether individual-level factors increase vulnerability to the effects of winter remains inadequately examined. Our aim was to assess long-term trends in excess winter mortality in Finland and estimate the modifying effect of sociodemographic and health characteristics on the risk of winter death. DESIGN: Nationwide register study. SETTING: Finland. PARTICIPANTS: Population aged 60 years and over, resident in Finland, 1971-2019. OUTCOME MEASURES: Age-adjusted winter and non-winter death rates, and winter-to-non-winter rate ratios and relative risks (multiplicative interaction effects between winter and modifying characteristics). RESULTS: We found a decreasing trend in the relative winter excess mortality over five decades and a drop in the series around 2000. During 2000-2019, winter mortality rates for men and women were 11% and 14% higher than expected based on non-winter rates. The relative risk of winter death increased with age but did not vary by income. Compared with those living with at least one other person, individuals in institutions had a higher relative risk (1.07, 95% CI 1.05 to 1.08). Most pre-existing health conditions did not predict winter death, but persons with dementia emerged at greater relative risk (1.06, 95% CI 1.04 to 1.07). CONCLUSIONS: Although winter mortality seems to affect frail people more strongly-those of advanced age, living in institutions and with dementia-there is an increased risk even beyond the more vulnerable groups. Protection of high-risk groups should be complemented with population-level preventive measures.

The contribution of health policy and care to income differences in life expectancy--a register based cohort study.

BACKGROUND: Growing mortality differences between socioeconomic groups have been reported in both Finland and elsewhere. While health behaviours and other lifestyle factors are important in contributing to health differences, some researchers have suggested that some of the mortality differences attributable to lifestyle factors could be preventable by health policy measures and that health care may play a role. It has also been suggested that its role is increasing due to better results in disease prevention, improved diagnostic tools and treatment methods. This study aimed to assess the impact of mortality amenable to health policy and health care on increasing income disparities in life expectancy in 1996-2007 in Finland. METHODS: The study data were based on an 11% random sample of Finnish residents in 1988-2007 obtained from individually linked cause of death and population registries and an oversample of deaths. We examined differences in life expectancy at age 35 (e35) in Finland. We calculated e35 for periods 1996-97 and 2006-07 by income decile and gender. Differences in life expectancies and change in them between the richest and the poorest deciles were decomposed by cause of death group. RESULTS: Overall, the difference in e35 between the extreme income deciles was 11.6 years among men and 4.2 years among women in 2006-07. Together, mortality amenable to health policy and care and ischaemic heart disease mortality contributed up to two thirds to socioeconomic differences. Socioeconomic differences increased from 1996-97 by 3.4 years among men and 1.7 years among women. The main contributor to changes was mortality amenable through health policy measures, mainly alcohol related mortality, but also conditions amenable through health care, ischaemic heart disease among men and other diseases contributed to the increase of the differences. CONCLUSIONS: The results underline the importance of active health policy and health care measures in tackling socioeconomic health inequalities.

Long-term trends in urban-neighbourhood inequalities in cause-specific mortality and hospitalisation - multilevel analyses among individuals nested in Finnish post-code areas, 1991-2018.

Background: High-income countries yield mixed evidence concerning the long-term trends of neighbourhood inequalities in health outcomes. The reasons why these inequalities persist and the factors driving any changes over time remain unclear. We analysed trends in general neighbourhood differences in mortality and hospitalisation, compared specific area-level and individual-level income effects, and assessed whether area-level effects were attributable to the neighbourhood population composition. Methods: This prospective cohort study used individual-level register-linked information on sociodemographic factors covering the total population of 20-64-year-olds living in Finnish cities at the beginning of seven four-year periods in 1991-2018 (N = 952,493-1,200,431). We used random-effects Poisson models to assess all-cause and external mortality and hospitalisations among individuals nested in postal-code areas. Results: The general contextual effect of the neighbourhood on all-cause mortality and hospitalisation was stable across time, with a median incidence-rate ratio of around 1.20-1.30, and it was mainly attributable to the population's composition. The association between area-level income and both mortality and hospitalisation was also robust and increased slightly even after accounting for population composition. The lowest neighbourhood income quintile in 2015-2018 had 15% (95% CI:5-26%) and 30% (95% CI:15-47%) excess mortality among men and women, respectively. These differentials were particularly large for external causes, but all area-level income associations were much smaller than the corresponding individual-level associations. Conclusion: The overall relevance of the neighbourhood context to mortality and hospitalisation was stable across time, and generally attributable to population composition. However, there were substantial relative area-level income disparities between neighbourhoods, which had grown over time.

Minimum legal drinking age and alcohol-attributable morbidity and mortality by age 63 years: a register-based cohort study based on alcohol reform.

BACKGROUND: Minimum legal drinking age (MLDA) is an effective policy tool in preventing youth drinking and short-term alcohol-attributable harm, but studies concerning long-term associations are scarce. METHODS: In this register-based, national cohort study, we assessed alcohol-attributable morbidity and mortality of cohorts born in 1944-54 in Finland. Data were from the 1970 census, the Care Register for Healthcare (maintained by the Finnish Institute of Health and Welfare), and the Cause-of-Death Register (maintained by Statistics Finland). As MLDA was lowered from 21 years to 18 years in 1969, these cohorts were effectively allowed to buy alcohol from different ages (18-21 years). We used survival analysis to compare their alcohol-attributable mortality and hospitalisations with a 36-year follow-up. FINDINGS: Compared with the first cohort (1951) allowed to buy alcohol from age 18, the hazard ratios (HRs) for alcohol-attributable morbidity and mortality were lower in cohorts who could not buy alcohol until age 20 or 21 years. For alcohol-attributable morbidity in those aged 21 years when the reform took place, HR was 0·89 (95% CI 0·86-0·93) for men and 0·87 (0·81-0·94) for women versus those aged 17 years. For alcohol-attributable mortality, HR was 0·86 (0·79-0·93) for men and 0·78 (0·66-0·92) for women aged 21 years when the reform took place. The outcomes of the later-born 1952-54 cohorts did not differ from the 1951 cohort. INTERPRETATION: Earlier cohorts had consistently lower alcohol-attributable mortality and morbidity; however, other simultaneous increases in alcohol availability probably contributed to increased alcohol-related harm among the younger cohorts. Overall, differences between cohorts born only a few years apart highlight late adolescence as a crucial period for the establishment of lifelong patterns of alcohol use and suggest that higher MLDA could be protective for health beyond young adulthood. FUNDING: Yrjö Jahnsson Foundation, Foundation for Economic Education, Emil Aaltonen Foundation, Academy of Finland, European Research Council, and NordForsk.

Childhood socio-economic circumstances and dementia: prospective register-based cohort study of adulthood socio-economic and cardiovascular health mediators.

BACKGROUND: This study analysed the association between childhood socio-economic circumstances and the risk of dementia, and investigated the mediating role of potentially modifiable risk factors including adulthood socio-economic position and cardiovascular health. METHODS: We used a 10% sample of the 1950 Finnish population census linked with subsequent population and health registers (n = 95 381). Information of socio-economic characteristics, family structure and housing conditions at the age of 0-15 years was obtained from the 1950 census. We identified cohort members who developed dementia in 2000-2018 using national hospital, medication and death registers. Discrete time survival analysis using logistic regression and mediation analysis applying the Karlson-Holm-Breen (KHB) method were employed. RESULTS: An excess risk of dementia was observed for household crowding [odds ratio (OR) = 1.10; 95% CI 1.02-1.18 for 3 to <4 persons per heated room; OR = 1.19; 95% CI 1.11-1.27 for ≥4 persons], single-father family (OR = 1.27; 95% CI 1.07-1.51) and eastern and northern region of residence (OR = 1.19; 95% CI 1.10-1.28). The effects of single-father family and region of residence were mostly direct with adulthood characteristics mediating 14% and 29% of the total effect, respectively. The largest indirect effect was observed for household crowding mediated through adulthood socio-economic position (47-65%). CONCLUSIONS: The study shows that childhood socio-economic circumstances are associated with dementia, and that the underlying mechanisms only partly relate to adulthood socio-economic position and cardiovascular health. Socio-economic and health interventions targeted at families with children may carry long-term benefits by contributing to a lower dementia risk in later life.

Changes in sibling similarity in education among Finnish cohorts born in 1950-89: the contribution of paternal and maternal education.

Among the many social characteristics that run in the family, education is one of the most strongly persistent. The long-term changes in educational reproduction within families and across generations and the gender-specific drivers of these changes remain partially unclear. Using population data for all Finnish siblings and their parents, we assessed the level of and trends in the intergenerational persistence of education among cohorts born between 1950 and 1989. The variance in education shared among siblings was 37% and remained stable over time. Parental education steadily increased its explanatory power in the shared variance, from 30% among cohorts born in the 1950s to 40% among cohorts born in the 1970s and 1980s. The direct contribution of maternal education net of paternal education for sibling similarity more than doubled across cohorts (from 5% in 1950 to 13% in 1989). The direct contribution of paternal education (10-12%) remained stable. Same-gender siblings resembled each other in education more closely than their opposite-gender counterparts. The growing importance of maternal education over time, which surpasses the predictive power of paternal education, demonstrates an important qualitative change in the determinants of educational stratification. The growing importance of mothers' education can plausibly result from the strengthening meritocratic achievement of women in education and the associated increase of women in defining the social position of the family. Incorporating the education of both parents in future analyses of intergenerational reproduction of education will probably be increasingly salient.

The contribution of alcohol-related deaths to the life-expectancy gap between people with and without depression - a cross-country comparison.

BACKGROUND: Alcohol-related deaths may be among the most important reasons for the shorter life expectancy of people with depression, yet no study has quantified their contribution. We quantify the contribution of alcohol-related deaths to the life-expectancy gap in depression in four European countries with differing levels of alcohol-related mortality. METHODS: We used cohort data linking population registers with health-care and death records from Denmark, Finland, Sweden and Turin, Italy, in 1993-2007 (210,412,097 person years, 3046,754 deaths). We identified psychiatric inpatients with depression from hospital discharge registers in Denmark, Finland, and Sweden and outpatients with antidepressant prescriptions from prescription registers in Finland and Turin. We assessed alcohol-related and non-alcohol-related deaths using both underlying and contributory causes of death, stratified by sex, age and depression status. We quantified the contribution of alcohol-related deaths by cause-of-death decomposition of the life-expectancy gap at age 25 between people with and without depression. RESULTS: The gap in life expectancy was 13.1-18.6 years between people with and without inpatient treatment for depression and 6.7-9.1 years between those with and without antidepressant treatment. The contribution of alcohol-related deaths to the life-expectancy gap was larger in Denmark (33.6%) and Finland (18.1-30.5%) - i.e., countries with high overall alcohol-related mortality - than in Sweden (11.9%) and Turin (3.2%), and larger among men in all countries. The life-expectancy gap due to other than alcohol-related deaths varied little across countries. CONCLUSIONS: Alcohol contributes heavily to the lower life expectancy in depression particularly among men and in countries with high overall alcohol-related mortality.

Changes in regional variation in mortality over five decades - The contribution of age and socioeconomic population composition.

Existing evidence suggests that within-country area variation in mortality has increased in several high-income countries. Little is known about the role of changes in the population composition of areas in these trends. In this study, we look at mortality variation across Finnish municipalities over five decades. We examine trends by sex, age categories and two broad cause of death groups and assess the role of individual-level compositional factors. Analyses rely on individual-level register data on the total Finnish population aged 30 years and over. We estimated two-level Weibull survival-models with individuals nested in areas for 10 periods between 1972 and 2018 to assess municipal-level variation in mortality. Median hazard ratio (MHR) was used as our summary measure and analyses were adjusted for age and socioeconomic characteristics. The results show a clear overall growth in area variation in mortality with MHR increasing from 1.14 (95% CI 1.12-1.15) to 1.28 (CI 1.26-1.30) among men and 1.17 (CI 1.15-1.18) to 1.30 (CI 1.27-1.32) among women. This growth, however, was fully attenuated by adjustment for age. Area differentials were largest and increased most among men at ages 30-49, and particularly for external causes. This increase was largely due to increasing differentiation in the socioeconomic composition of municipalities. In conclusion, our study shows increases in mortality differentials across municipalities that are mostly attributable to increasing differentiation between municipalities in terms of individual compositional factors.