Lasse Tarkiainen

Trends in life expectancy by income from 1988 to 2007: decomposition by age and cause of death

Background Less attention has been paid to mortality trends across income groups than those measured by other socioeconomic indicators. This study assessed the change in life expectancy by income over 20 years in the Finnish general population. Methods Life expectancy among 35-year-olds by household income quintiles was studied. Change in life expectancy from 1988–92 to 2003–7 was decomposed by age and cause of death. The dataset contained 754 087 deaths by oversample of 80% of all deaths during the period. Results The gap in life expectancy between the highest and the lowest income quintiles widened during the study period by 5.1 years among men and 2.9 years among women, and in 2007 it stood at 12.5 years and 6.8 years, respectively. Stagnation in the lowest income group was the main reason for the increased disparity for both sexes. Increasing mortality attributable to alcohol-related diseases and increasing or stagnating mortality for many cancers, as well as a slower decline in mortality due to ischaemic heart disease among men in the lowest income quintile, were the most significant factors increasing the gap. Conclusions The increasing gap in life expectancy was mostly due to the stagnation of mortality in the lowest income quintile and especially because of the increasing mortality in alcohol-related diseases. The increase in disparity may be more extreme when using income instead of occupational class or education, possibly because income identifies a lower and economically more deprived segment on a social hierarchy more clearly. The results identify a clear need to tackle the specific health problems of the poorest.

Socioeconomic inequalities in cause-specific mortality in 15 European cities

Background Socioeconomic inequalities are increasingly recognised as an important public health issue, although their role in the leading causes of mortality in urban areas in Europe has not been fully evaluated. In this study, we used data from the INEQ-CITIES study to analyse inequalities in cause-specific mortality in 15 European cities at the beginning of the 21st century. Methods A cross-sectional ecological study was carried out to analyse 9 of the leading specific causes of death in small areas from 15 European cities. Using a hierarchical Bayesian spatial model, we estimated smoothed Standardized Mortality Ratios, relative risks and 95% credible intervals for cause-specific mortality in relation to a socioeconomic deprivation index, separately for men and women. Results We detected spatial socioeconomic inequalities for most causes of mortality studied, although these inequalities differed markedly between cities, being more pronounced in Northern and Central-Eastern Europe. In the majority of cities, most of these causes of death were positively associated with deprivation among men, with the exception of prostatic cancer. Among women, diabetes, ischaemic heart disease, chronic liver diseases and respiratory diseases were also positively associated with deprivation in most cities. Lung cancer mortality was positively associated with deprivation in Northern European cities and in Kosice, but this association was non-existent or even negative in Southern European cities. Finally, breast cancer risk was inversely associated with deprivation in three Southern European cities. Conclusions The results confirm the existence of socioeconomic inequalities in many of the main causes of mortality, and reveal variations in their magnitude between different European cities.

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.

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

BackgroundHealth 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.MethodsWe 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.ResultsMortality 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.ConclusionsThere 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.

Housing wealth and mortality: A register linkage study of the Finnish population

In many countries home ownership is the main form of property and covers a major part of peoples possessions. Since overall wealth is difficult to measure, many health studies have used home ownership as an indicator of wealth and material resources. However, most studies have measured housing wealth with a simple dichotomous measure of home ownership. We examined the associations between three different measures of housing wealth and overall mortality, separating subsidized renters and private renters, and using floor area and the number of rooms as measures of dwelling size. We further examined whether other socioeconomic factors, level of urbanisation of the region of residence, and household composition account for the found associations. Finns aged 35-79 years at the end of 1999 were followed up until the end of 2004. Data were drawn from various registers combined by Statistics Finland and linked with death records. The age-adjusted hazard ratio for mortality among subsidized renters compared to owner-occupiers was 2.26 in men and 1.87 in women. However, also private renters had clearly higher mortality than owner-occupiers, with the excess mortality of 92% in men and 61% in women. Both measures of home size were also strongly associated with mortality, with the excess risk of 1.7-3.0 in the lowest home size quintile compared to the highest. Adjusting for socioeconomic factors and mutually for all housing wealth measures considerably attenuated the associations. Further adjustment for urbanisation had no effect whereas adjustment for household size, marital status and living arrangements attenuated the associations of the two home size measures and mortality. However, a clear association remained between all housing wealth measures and mortality after all adjustments. Housing wealth summarises ones material circumstances over a prolonged period of time. Measures of housing wealth may therefore provide useful social classifications for studies on poor health and mortality especially in older age groups where most deaths occur.

Socioeconomic inequalities in injury mortality in small areas of 15 European cities.

This study analysed socioeconomic inequalities in mortality due to injuries in small areas of 15 European cities, by sex, at the beginning of this century. A cross-sectional ecological study with units of analysis being small areas within 15 European cities was conducted. Relative risks of injury mortality associated with the socioeconomic deprivation index were estimated using hierarchical Bayesian model. The number of small areas varies from 17 in Bratislava to 2666 in Turin. The median population per small area varies by city (e.g. Turin had 274 inhabitants per area while Budapest had 76,970). Socioeconomic inequalities in all injury mortality are observed in the majority of cities and are more pronounced in men. In the cities of northern and western Europe, socioeconomic inequalities in injury mortality are found for most types of injuries. These inequalities are not significant in the majority of cities in southern Europe among women and in the majority of central eastern European cities for both sexes. The results confirm the existence of socioeconomic inequalities in injury related mortality and reveal variations in their magnitude between different European cities.

The changing relationship between income and mortality in Finland, 1988–2007

Background Socioeconomic mortality differences have increased in many high-income countries in recent decades mainly because of slower mortality decline among the lower social groups. The aim of this study was to investigate whether the changing socio-demographic composition explains the increasing disparity in mortality by income and the stagnation of mortality in the lowest income group. Methods The register data comprised a nationally representative 11% sample of individuals aged 35–64 years residing in Finland in 1988–2007, linked with mortality records. Household taxable income was used as the income measure. Poisson regression models were used to assess the changes in mortality disparity among the income quintiles between periods 1988–1991, 1996–1999 and 2004–2007. The measures of socio-demographic composition included educational level, social class, employment status and living alone. Results The mortality rate ratio (with the highest quintile as the reference category) of the lowest quintile increased from 2.80 to 5.16 among the men and from 2.17 to 4.23 among the women between 1988–1991 and 2004–2007. Controlling for other socio-demographic variables strongly attenuated the differences, but the rate ratio of the lowest quintile still increased from 1.32 to 1.73 among the men and from 1.13 to 1.66 among the women. There was no decline in the fully adjusted mortality of the lowest quintiles between second and third study periods. Conclusions Socio-demographic characteristics explained much of the mortality disparity between income quintiles within each study period. However, these characteristics do not explain the increasing disparity between the periods and stagnating mortality in the lowest quintile.

Comparing the effects of neighbourhood characteristics on all-cause mortality using two hierarchical areal units in the capital region of Helsinki

We examine how the choice of areal unit affects the estimation of neighbourhood effects on mortality using two different areal units. We used register data of 70,936 individuals aged 25-64 years residing in the capital region of Helsinki, Finland. Results from the multilevel Poisson regression show that the clustering of mortality was slightly stronger when using smaller area units. The differences disappear when account was taken of known individual-level characteristics of the residents. This was also the case for the effect of the proportion of manual workers in the area on mortality. Our results imply that the choice of area scale will not lead to serious underestimation of neighbourhood effects in mortality.

Comparison of health policy documents of European cities: Are they oriented to reduce inequalities in health?

Health policies are specified in documents that contain values, objectives, strategies, and interventions to be implemented. The objective of our study was to analyse health policy documents of six European cities and one county council published around 2010 to determine (i) how cities conceptualize health inequalities, and (ii) what strategies are proposed to reduce them. We performed a qualitative document analysis. We selected Health or Health Inequalities policy documents and analysed the following aspects: general characteristics of the document, inclusion and definition of health inequalities, promotion of good governance and participation, number of objectives, and evaluation. We also described specific objectives. Rotterdam, London, and Stockholm use a conceptual framework. Two of them define health inequalities as a social gradient. Intersectoral action, participation, and evaluation are included in most documents. Interventions focus mainly on the socioeconomic context.

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.