Trends in educational inequalities in smoking-attributable mortality and their impact on changes in general mortality inequalities: evidence from England and Wales, Finland, and Italy (Turin).

BACKGROUND: Socioeconomic mortality inequalities are persistent in Europe but have been changing over time. Smoking is a known contributor to inequality levels, but knowledge about its impact on time trends in inequalities is sparse. METHODS: We studied trends in educational inequalities in smoking-attributable mortality (SAM) and assessed their impact on general mortality inequality trends in England and Wales (E&W), Finland, and Italy (Turin) from 1972 to 2017. We used yearly individually linked all-cause and lung cancer mortality data by educational level and sex for individuals aged 30 and older. SAM was indirectly estimated using the Preston-Glei-Wilmoth method. We calculated the slope index of inequality (SII) and performed segmented regression on SIIs for all-cause, smoking and non-SAM to identify phases in inequality trends. The impact of SAM on all-cause mortality inequality trends was estimated by comparing changes in SII for all-cause with non-SAM. RESULTS: Inequalities in SAM generally declined among males and increased among females, except in Italy. Among males in E&W and Finland, SAM contributed 93% and 76% to declining absolute all-cause mortality inequalities, but this contribution varied over time. Among males in Italy, SAM drove the 1976-1992 increase in all-cause mortality inequalities. Among females in Finland, increasing inequalities in SAM hampered larger declines in mortality inequalities. CONCLUSION: Our findings demonstrate that differing education-specific SAM trends by country and sex result in different inequality trends, and consequent contributions of SAM on educational mortality inequalities. The following decades of the smoking epidemic could increase educational mortality inequalities among Finnish and Italian women.

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.

Maternal psychiatric and somatic illness, and the risk of unintentional injuries in children: variation by type of maternal illness, type of injury and child age.

BACKGROUND: Maternal mental illness appears to increase the risk of unintentional childhood injuries, which are a common cause of morbidity and mortality in early childhood. However, little is known about the variations in this association by type of injury and child's age, and studies on the effects of maternal somatic illness on children's injury risk are scarce. METHODS: We used Finnish total population register data from 2000 to 2017 to link 1 369 325 children to their biological mothers and followed them for maternal illness and childhood injuries until the children's sixth birthday. Cox regression models were used to examine the associations between maternal illness and children's injuries by type of illness (neurological, psychiatric and cancer), type of injury (transport injuries, falls, burns, drowning or suffocations, poisonings, exposure to inanimate and animate mechanical forces) and child's age (<1 year-olds, 1-2 year-olds, 3-5 year-olds). RESULTS: After adjustment for family structure, maternal age at birth, maternal education, income, child's gender, native language and region of residence, children of unwell mothers showed a higher risk of injuries (HR: 1.21, 95% CI: 1.19 to 1.23). This association was clear for maternal neurological (HR: 1.31, 95% CI: 1.26 to 1.36) and psychiatric illnesses (HR: 1.20, 95% CI: 1.18 to 1.23) but inconsistent for cancer. Maternal illness predicted an increased risk of injury across all age groups. CONCLUSIONS: Maternal mental and somatic illness may both increase children's injury risk. Adequate social and parenting support for families with maternal illness may reduce childhood injury.

Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study.

BACKGROUND: Previous Mendelian randomization (MR) studies using population samples (population MR) have provided evidence for beneficial effects of educational attainment on health outcomes in adulthood. However, estimates from these studies may have been susceptible to bias from population stratification, assortative mating and indirect genetic effects due to unadjusted parental genotypes. MR using genetic association estimates derived from within-sibship models (within-sibship MR) can avoid these potential biases because genetic differences between siblings are due to random segregation at meiosis. METHODS: Applying both population and within-sibship MR, we estimated the effects of genetic liability to educational attainment on body mass index (BMI), cigarette smoking, systolic blood pressure (SBP) and all-cause mortality. MR analyses used individual-level data on 72 932 siblings from UK Biobank and the Norwegian HUNT study, and summary-level data from a within-sibship Genome-wide Association Study including >140 000 individuals. RESULTS: Both population and within-sibship MR estimates provided evidence that educational attainment decreased BMI, cigarette smoking and SBP. Genetic variant-outcome associations attenuated in the within-sibship model, but genetic variant-educational attainment associations also attenuated to a similar extent. Thus, within-sibship and population MR estimates were largely consistent. The within-sibship MR estimate of education on mortality was imprecise but consistent with a putative effect. CONCLUSIONS: These results provide evidence of beneficial individual-level effects of education (or liability to education) on adulthood health, independently of potential demographic and family-level confounders.

Migrant mortality by duration of residence and co-ethnic density - A register-based study on Finnish migrants in Sweden with matched controls in the origin and the destination.

Migrant health depends on factors both at the origin and at the destination. Health-related behaviors established before migration may change at the destination. We compare the mortality rates from alcohol- and smoking-related causes and cardiovascular diseases (CVD) of Finnish migrants in Sweden to matched controls in both Sweden and Finland with similar sociodemographic characteristics. Migrant mortality rates from behavioral risk factors lie in-between the rates of non-migrants in the origin and destination. A longer duration of residence is associated with lower mortality and with mortality patterns more similar to Swedes for men. For women, a longer duration of residence is associated with higher mortality, in particular smoking-related mortality, with no tendency of a gradual convergence. The density of Finnish migrants in the local area is modestly associated with mortality. However, CVD mortality tends to be higher and more similar to the level in Finland for migrants in areas with a higher density of Finnish migrants. The results suggest that behavioral changes can reduce mortality differences between migrants and natives and that this can be either beneficial or detrimental to migrant health.

Widening educational inequalities in mortality in more recent birth cohorts: a study of 14 European countries.

BACKGROUND: Studies of period changes in educational inequalities in mortality have shown important changes over time. It is unknown whether a birth cohort perspective paints the same picture. We compared changes in inequalities in mortality between a period and cohort perspective and explored mortality trends among low-educated and high-educated birth cohorts. DATA AND METHODS: In 14 European countries, we collected and harmonised all-cause and cause-specific mortality data by education for adults aged 30-79 years in the period 1971-2015. Data reordered by birth cohort cover persons born between 1902 and 1976. Using direct standardisation, we calculated comparative mortality figures and resulting absolute and relative inequalities in mortality between low educated and high educated by birth cohort, sex and period. RESULTS: Using a period perspective, absolute educational inequalities in mortality were generally stable or declining, and relative inequalities were mostly increasing. Using a cohort perspective, both absolute and relative inequalities increased in recent birth cohorts in several countries, especially among women. Mortality generally decreased across successive birth cohorts among the high educated, driven by mortality decreases from all causes, with the strongest reductions for cardiovascular disease mortality. Among the low educated, mortality stabilised or increased in cohorts born since the 1930s in particular for mortality from cardiovascular diseases, lung cancer, chronic obstructive pulmonary disease and alcohol-related causes. CONCLUSIONS: Trends in mortality inequalities by birth cohort are less favourable than by calendar period. In many European countries, trends among more recently born generations are worrying. If current trends among younger birth cohorts persist, educational inequalities in mortality may further widen.

Socioeconomic inequalities in cancer mortality between and within countries in Europe: a population-based study.

Background: Reducing socioeconomic inequalities in cancer is a priority for the public health agenda. A systematic assessment and benchmarking of socioeconomic inequalities in cancer across many countries and over time in Europe is not yet available. Methods: Census-linked, whole-of-population cancer-specific mortality data by socioeconomic position, as measured by education level, and sex were collected, harmonized, analysed, and compared across 18 countries during 1990-2015, in adults aged 40-79. We computed absolute and relative educational inequalities; temporal trends using estimated-annual-percentage-changes; the share of cancer mortality linked to educational inequalities. Findings: Everywhere in Europe, lower-educated individuals have higher mortality rates for nearly all cancer-types relative to their more highly-educated counterparts, particularly for tobacco/infection-related cancers [relative risk of lung cancer mortality for lower- versus higher-educated = 2.4 (95% confidence intervals: 2.1-2.8) among men; = 1.8 (95% confidence intervals: 1.5-2.1) among women]. However, the magnitude of inequalities varies greatly by country and over time, predominantly due to differences in cancer mortality among lower-educated groups, as for many cancer-types higher-educated have more similar (and lower) rates, irrespective of the country. Inequalities were generally greater in Baltic/Central/East-Europe and smaller in South-Europe, although among women large and rising inequalities were found in North-Europe (relative risk of all cancer mortality for lower- versus higher-educated ≥1.4 in Denmark, Norway, Sweden, Finland and the England/Wales). Among men, rate differences (per 100,000 person-years) in total-cancer mortality for lower-vs-higher-educated groups ranged from 110 (Sweden) to 559 (Czech Republic); among women from approximately null (Slovenia, Italy, Spain) to 176 (Denmark). Lung cancer was the largest contributor to inequalities in total-cancer mortality (between-country range: men, 29-61%; women, 10-56%). 32% of cancer deaths in men and 16% in women (but up to 46% and 24%, respectively in Baltic/Central/East-Europe) were associated with educational inequalities. Interpretation: Cancer mortality in Europe is largely driven by levels and trends of cancer mortality rates in lower-education groups. Even Nordic-countries, with a long-established tradition of equitable welfare and social justice policies, witness increases in cancer inequalities among women. These results call for a systematic measurement, monitoring and action upon the remarkable socioeconomic inequalities in cancer existing in Europe. Funding: This study was done as part of the LIFEPATH project, which has received financial support from the European Commission (Horizon 2020 grant number 633666), and the DEMETRIQ project, which received support from the European Commission (grant numbers FP7-CP-FP and 278511). SV and WN were supported by the French Institut National du Cancer (INCa) (Grant number 2018-116). PM was supported by the Academy of Finland (#308247, # 345219) and the European Research Council under the European Union's Horizon 2020 research and innovation programme (grant agreement No 101019329). The work by Mall Leinsalu was supported by the Estonian Research Council (grant PRG722).

Pre-existing psychological disorders, diabetes, and pancreatic cancer: A population-based study of 38,952 Finns.

BACKGROUND: It remains unclear how pre-existing depression, anxiety, and diabetes of different durations are associated with the risk of pancreatic cancer, its clinical characteristics, treatment modalities, and subsequent survival. METHODS: From a register-based random sample of Finns residing in Finland at the end of the period 1987-2007, 6492 patients diagnosed with primary pancreatic cancer in 2000-2014, and 32 460 controls matched for birth cohort and sex, were identified. Pre-existing depression, anxiety, and diabetes were ascertained from the records of prescribed medication purchases. Information on pancreatic cancer outcomes was obtained from the Finnish cancer register. Data were analyzed using logistic and Cox regressions. RESULTS: The risk of developing pancreatic cancer was found to be associated with long-term anxiety (treatment started 36 + months before the cancer diagnosis) (odds ratio (OR): 1.13, 95% confidence interval (95%CI): 1.04-1.22) and long-term diabetes (OR 1.72, 95%CI 1.55-1.90), as well as with new-onset (treatment started 0-24 months before the cancer diagnosis) depression (OR 1.59, 95%CI 1.34-1.88), anxiety (OR 1.76, 95%CI 1.50-2.07), and diabetes (OR 3.92, 95%CI 3.44-4.48). However, the effects of these new-onset conditions were driven by cases that began treatment within 3 months before the cancer diagnosis (concomitant period). Patients with long-term depression, anxiety and diabetes and those with new-onset anxiety had a higher risk of not receiving standard treatments. Lower survival was found for pancreatic cancer patients with new-onset depression (hazards ratio (HR) 1.38, 95%CI 1.16-1.64). Survival was not associated with pre-existing anxiety or diabetes. CONCLUSIONS: The associations between pancreatic cancer risk and pre-existing depression and anxiety were mostly driven by concomitant effects. Individuals with diabetes, regardless of duration, should be closely monitored for pancreatic cancer. Pancreatic cancer patients with new-onset depression should be targeted to improve their survival.

Health-related selection into employment among the unemployed.

BACKGROUND: Successful transitions from unemployment to employment are an important concern, yet little is known about health-related selection into employment. We assessed the association of various physical and psychiatric conditions with finding employment, and employment stability. METHODS: Using total population register data, we followed Finnish residents aged 30-60 with an unemployment spell during 2009-2018 (n = 814,085) for two years from the onset of unemployment. We predicted any, stable, and unstable employment by health status using Cox proportional hazards models. The data on specialized health care and prescription reimbursement were used to identify any alcohol-related conditions and poisonings, psychiatric conditions and self-harm, injuries, and physical conditions. We further separated physical conditions into cancer, diabetes, heart disease, and neurological conditions, and psychiatric conditions into depression, anxiety disorders and substance use disorders. RESULTS: The likelihood of any employment was lower among those who had any of the assessed health conditions. It was lowest among those with alcohol-related or psychiatric conditions with an age-adjusted hazard ratio of 0.45 (95% confidence interval 0.44, 0.46) among men and 0.39 (0.38, 0.41) among women for alcohol-related and 0.64 (0.63, 0.65) and 0.66 (0.65, 0.67) for psychiatric conditions, respectively. These results were not driven by differences in socioeconomic characteristics or comorbidities. All the included conditions were detrimental to both stable and unstable employment, however alcohol-related and psychiatric conditions were more harmful for stable than for unstable employment. CONCLUSIONS: The prospects of the unemployed finding employment are reduced by poor health, particularly alcohol-related and psychiatric conditions. These two conditions may also lead to unstable career trajectories. The selection process contributes to the health differentials between employed and unemployed people. Unemployed people with health problems may therefore need additional support to improve their chances of employment.

Changes in parents' psychotropic medication use following child's cancer diagnosis: A fixed-effects register-study in Finland.

BACKGROUND: Symptoms of depression and anxiety are elevated among parents of children with cancer. However, knowledge of parents' psychotropic medication use following child's cancer diagnosis is scarce. METHODS: We use longitudinal Finnish register data on 3266 mothers and 2687 fathers whose child (aged 0-19) was diagnosed with cancer during 2000-2016. We record mothers' and fathers' psychotropic medication use (at least one annual purchase of anxiolytics, hypnotics, sedatives, or antidepressants) 5 years before and after the child's diagnosis and assess within-individual changes in medication use by time since diagnosis, cancer type, child's age, presence of siblings, and parent's living arrangements and education using linear probability models with the individual fixed-effects estimator. The fixed-effects models compare each parent's annual probability of psychotropic medication use after diagnosis to their annual probability of medication use during the 5-year period before the diagnosis. RESULTS: Psychotropic medication use was more common among mothers than fathers already before the child's diagnosis, 11.2% versus 7.3%. Immediately after diagnosis, psychotropic medication use increased by 6.0 (95% CI 4.8-7.2) percentage points among mothers and by 3.2 (CI 2.1-4.2) percentage points among fathers. Among fathers, medication use returned to pre-diagnosis level by the second year, except among those whose child was diagnosed with acute lymphoblastic leukemia or lymphoblastic lymphoma. Among mothers of children with a central nervous system cancer, medication use remained persistently elevated during the 5-year follow-up. For mothers with other under-aged children or whose diagnosed child was younger than 10 years, the return to pre-diagnosis level was also slow. CONCLUSIONS: Having a child with cancer clearly increases parents' psychotropic medication use. The increase is smaller and more short-lived among fathers, but among mothers its duration depends on both cancer type and family characteristics. Our results suggest that an increased care burden poses particular strain to the long-term mental well-being of mothers.

Contributions of specific causes of death by age to the shorter life expectancy in depression: a register-based observational study from Denmark, Finland, Sweden and Italy.

BACKGROUND: The reasons for the shorter life expectancy of people with depression may vary by age. We quantified the contributions of specific causes of death by age to the life-expectancy gap in four European countries. METHODS: Using register-based cohort data, we calculated annual mortality rates in between 1993 and 2007 for psychiatric inpatients with depression identified from hospital-care registers in Denmark, Finland and Sweden, and between 2000 and 2007 for antidepressant-treated outpatients identified from medication registers in Finland and Turin, Italy. We decomposed the life-expectancy gap at age 15 years by age and cause of death. RESULTS: The life-expectancy gap was especially large for psychiatric inpatients (12.1 to 21.0 years) but substantial also for antidepressant-treated outpatients (6.3 to 14.2 years). Among psychiatric inpatients, the gap was largely attributable to unnatural deaths below age 55 years. The overall contribution was largest for suicide in Sweden (43 to 45%) and Finland (37 to 40%). In Denmark, 'other diseases' (25 to 34%) and alcohol-attributable causes (10 to 18%) had especially large contributions. Among antidepressant-treated outpatients, largest contributions were observed for suicide (18% for men) and circulatory deaths (23% for women) in Finland, and cancer deaths in Turin (29 to 36%). Natural deaths were concentrated at ages above 65 years. LIMITATIONS: The indication of antidepressant prescription could not be ascertained from the medication registers. CONCLUSIONS: Interventions should be directed to self-harm and substance use problems among younger psychiatric inpatients and antidepressant-treated young men. Rigorous monitoring and treatment of comorbid somatic conditions and disease risk factors may increase life expectancy for antidepressant-treated outpatients, especially women.

Determinants of educational inequalities in disability-free life expectancy between ages 35 and 80 in Europe.

Socioeconomic inequalities in disability-free life expectancy (DFLE) exist across all European countries, yet the driving determinants of these differences are not completely known. We calculated the impact on educational inequalities in DFLE of equalizing the distribution of eight risk factors for mortality and disability using register-based mortality data and survey data from 15 European countries for individuals between 35 and 80 years old. From the selected risk factors, the ones that contribute the most to the educational inequalities in DFLE are low income, high body-weight, smoking (for men), and manual occupation of the father. Potentially large reductions in inequalities can be achieved in Eastern European countries, where educational inequalities in DFLE are also the largest.

Joint association between education and polygenic risk score for incident coronary heart disease events: a longitudinal population-based study of 26 203 men and women.

BACKGROUND: Genetic vulnerability to coronary heart disease (CHD) is well established, but little is known whether these effects are mediated or modified by equally well-established social determinants of CHD. We estimate the joint associations of the polygenetic risk score (PRS) for CHD and education on CHD events. METHODS: The data are from the 1992, 1997, 2002, 2007 and 2012 surveys of the population-based FINRISK Study including measures of social, behavioural and metabolic factors and genome-wide genotypes (N=26 203). Follow-up of fatal and non-fatal incident CHD events (N=2063) was based on nationwide registers. RESULTS: Allowing for age, sex, study year, region of residence, study batch and principal components, those in the highest quartile of PRS for CHD had strongly increased risk of CHD events compared with the lowest quartile (HR=2.26; 95% CI: 1.97 to 2.59); associations were also observed for low education (HR=1.58; 95% CI: 1.32 to 1.89). These effects were largely independent of each other. Adjustment for baseline smoking, alcohol use, body mass index, igh-density lipoprotein (HDL) and total cholesterol, blood pressure and diabetes attenuated the PRS associations by 10% and the education associations by 50%. We do not find strong evidence of interactions between PRS and education. CONCLUSIONS: PRS and education predict CHD events, and these associations are independent of each other. Both can improve CHD prediction beyond behavioural risks. The results imply that observational studies that do not have information on genetic risk factors for CHD do not provide confounded estimates for the association between education and CHD.

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.

Home and away: mortality among Finnish-born migrants in Sweden compared to native Swedes and Finns residing in Finland.

BACKGROUND: Most first-generation migrants have lower mortality compared to the native population. Finnish-born migrants in Sweden instead have higher mortality; possibly because of health behaviours established before migration. To increase our understanding of this excess mortality, we compared the cause-specific mortality of Finnish migrants in Sweden to both the native population of Sweden and the native Finnish population residing in Finland. METHODS: We used Swedish and Finnish register data, applying propensity score matching techniques to account for differences in sociodemographic characteristics between the migrants, Swedes and Finns. The index population were Finnish migrants aged 40-60, residing in Sweden in 1995. We compared patterns of all-cause, alcohol- and smoking-related, and cardiovascular disease mortality across the groups in the period 1996-2007. RESULTS: Finnish migrant men in Sweden had lower all-cause mortality compared to Finnish men but higher mortality compared to the Swedish men. The same patterns were observed for alcohol-related, smoking-related and cardiovascular disease mortality. Among women, all three groups had similar levels of all-cause mortality. However, Finnish migrant women had higher alcohol-related mortality than Swedish women, similar to Finnish women. Conversely, migrant women had similar levels of smoking-related mortality to Swedish women, lower than Finnish women. CONCLUSIONS: Finnish-born migrants residing in Sweden have mortality patterns that are typically in between the mortality patterns of the native populations in their country of origin and destination. Both the country of origin and destination need to be considered in order to better understand migrant health.

Physical health conditions and subsequent union separation: a couple-level register study on neurological conditions, heart and lung disease, and cancer.

BACKGROUND: Studies that assess the role of physical health conditions on separation risk are scarce and mostly lack health information on both partners. It is unclear how the association between physical illness and separation risk varies by type of illness, gender of the ill spouse and age of the couple. METHODS: We used Finnish register data on 127 313 couples to examine how neurological conditions, heart and lung disease, and cancer are associated with separation risk. The data included information on medication, hospitalisations, separations and sociodemographic characteristics. Marital and non-marital cohabiting couples aged 40-70 years were followed from 1998 to 2003 for the onset of health conditions and subsequent separation, and Cox regression was used to examine the associations. RESULTS: Compared with healthy couples, the HR of separation was elevated by 43% for couples in which both spouses had a physical health condition, by 22% for couples in which only the male spouse had fallen ill, and by 11% for couples in which only the female had fallen ill. Among older couples, the associations between physical illness and separation risk were even clearer. The association with separation risk was strongest for neurological conditions, and after incidence of these conditions among males, separation risk increased over time. Adjustment for sociodemographic characteristics had little effect. CONCLUSIONS: Our findings suggest that poor health may largely strain relationships through disability and associated burden of spousal care, and this should be taken into consideration when planning support services for couples with physical health conditions.

Determinants of inequalities in years with disability: an international-comparative study.

BACKGROUND: Persons with a lower socioeconomic position spend more years with disability, despite their shorter life expectancy, but it is unknown what the important determinants are. This study aimed to quantify the contribution to educational inequalities in years with disability of eight risk factors: father's manual occupation, low income, few social contacts, smoking, high alcohol consumption, high body-weight, low physical exercise and low fruit and vegetable consumption. METHODS: We collected register-based mortality and survey-based disability and risk factor data from 15 European countries covering the period 2010-14 for most countries. We calculated years with disability between the ages of 35 and 80 by education and gender using the Sullivan method, and determined the hypothetical effect of changing the prevalence of each risk factor to the prevalence observed among high educated ('upward levelling scenario'), using Population Attributable Fractions. RESULTS: Years with disability among low educated were higher than among high educated, with a difference of 4.9 years among men and 5.5 years among women for all countries combined. Most risk factors were more prevalent among low educated. We found the largest contributions to inequalities in years with disability for low income (men: 1.0 year; women: 1.4 year), high body-weight (men: 0.6 year; women: 1.2 year) and father's manual occupation (men: 0.7 year; women: 0.9 year), but contributions differed by country. The contribution of smoking was relatively small. CONCLUSIONS: Disadvantages in material circumstances (low income), circumstances during childhood (father's manual occupation) and high body-weight contribute to inequalities in years with disability.

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.

Changing social inequalities in smoking, obesity and cause-specific mortality: Cross-national comparisons using compass typology.

BACKGROUND: In many countries smoking rates have declined and obesity rates have increased, and social inequalities in each have varied over time. At the same time, mortality has declined in most high-income countries, but gaps by educational qualification persist-at least partially due to differential smoking and obesity distributions. This study uses a compass typology to simultaneously examine the magnitude and trends in educational inequalities across multiple countries in: a) smoking and obesity; b) smoking-related mortality and c) cause-specific mortality. METHODS: Smoking prevalence, obesity prevalence and cause-specific mortality rates (35-79 year olds by sex) in nine European countries and New Zealand were sourced from between 1980 and 2010. We calculated relative and absolute inequalities in prevalence and mortality (relative and slope indices of inequality, respectively RII, SII) by highest educational qualification. Countries were then plotted on a compass typology which simultaneously examines trends in the population average rates or odds on the x-axis, RII on the Y-axis, and contour lines depicting SII. FINDINGS: Smoking and obesity. Smoking prevalence in men decreased over time but relative inequalities increased. For women there were fewer declines in smoking prevalence and relative inequalities tended to increase. Obesity prevalence in men and women increased over time with a mixed picture of increasing absolute and sometimes relative inequalities. Absolute inequalities in obesity increased for men and women in Czech Republic, France, New Zealand, Norway, for women in Austria and Lithuania, and for men in Finland. Cause-specific mortality. Average rates of smoking-related mortality were generally stable or increasing for women, accompanied by increasing relative inequalities. For men, average rates were stable or decreasing, but relative inequalities increased over time. Cardiovascular disease, cancer, and external injury rates generally decreased over time, and relative inequalities increased. In Eastern European countries mortality started declining later compared to other countries, however it remained at higher levels; and absolute inequalities in mortality increased whereas they were more stable elsewhere. CONCLUSIONS: Tobacco control remains vital for addressing social inequalities in health by education, and focus on the least educated is required to address increasing relative inequalities. Increasing obesity in all countries and increasing absolute obesity inequalities in several countries is concerning for future potential health impacts. Obesity prevention may be increasingly important for addressing health inequalities in some settings. The compass typology was useful to compare trends in inequalities because it simultaneously tracks changes in rates/odds, and absolute and relative inequality measures.

Educational inequalities in mortality amenable to healthcare. A comparison of European healthcare systems.

BACKGROUND: Educational inequalities in health and mortality in European countries have often been studied in the context of welfare regimes or political systems. We argue that the healthcare system is the national level feature most directly linkable to mortality amenable to healthcare. In this article, we ask to what extent the strength of educational differences in mortality amenable to healthcare vary among European countries and between European healthcare system types. METHODS: This study uses data on mortality amenable to healthcare for 21 European populations, covering ages 35-79 and spanning from 1998 to 2006. ISCED education categories are used to calculate relative (RII) and absolute inequalities (SII) between the highest and lowest educated. The healthcare system typology is based on the latest available classification. Meta-analysis and ANOVA tests are used to see if and how they can explain between-country differences in inequalities and whether any healthcare system types have higher inequalities. RESULTS: All countries and healthcare system types exhibited relative and absolute educational inequalities in mortality amenable to healthcare. The low-supply and low performance mixed healthcare system type had the highest inequality point estimate for the male (RII = 3.57; SII = 414) and female (RII = 3.18; SII = 209) population, while the regulation-oriented public healthcare systems had the overall lowest (male RII = 1.78; male SII = 123; female RII = 1.86; female SII = 78.5). Due to data limitations, results were not robust enough to make substantial claims about typology differences. CONCLUSIONS: This article aims at discussing possible mechanisms connecting healthcare systems, social position, and health. Results indicate that factors located within the healthcare system are relevant for health inequalities, as inequalities in mortality amenable to medical care are present in all healthcare systems. Future research should aim at examining the role of specific characteristics of healthcare systems in more detail.