Labour market income inequality and mortality in North American metropolitan areas

OBJECTIVE: To investigate relations between labour market income inequality and mortality in North American metropolitan areas. METHODS: An ecological cross sectional study of relations between income inequality and working age (25-64 years) mortality in 53 Canadian (1991) and 282 US (1990) metropolitan areas using four measures of income inequality. Two labour market income concepts were used: labour market income for households with non-trivial attachment to the labour market and labour market income for all households, including those with zero and negative incomes. Relations were assessed with weighted and unweighted bivariate and multiple regression analyses. RESULTS: US metropolitan areas were more unequal than their Canadian counterparts, across inequality measures and income concepts. The association between labour market income inequality and working age mortality was robust in the US to both the inequality measure and income concept, but the association was inconsistent in Canada. Three of four inequality measures were significantly related to mortality in Canada when households with zero and negative incomes were included. In North American models, increases in earnings inequality were associated with hypothetical increases in working age mortality rates of between 23 and 33 deaths per 100 000, even after adjustment for median metropolitan incomes. CONCLUSIONS: This analysis of labour market inequality provides more evidence regarding the robust nature of the relation between income inequality and mortality in the US. It also provides a more refined understanding of the nature of the relation in Canada, pointing to the role of unemployment in generating Canadian metropolitan level health inequalities.     

Income differences in mortality: a register-based follow-up study of three million men and women

OBJECTIVES: We analyse whether the relationship between net household income and mortality form a continuous linear gradient or is curvilinear, assess the attenuation of this association after adjusting for confounding and reverse causality, and assess the strength of the association by age and cause of death. DESIGN AND SETTING: Prospective study of mortality in Finland among all men and women over 30 years old. Information on household income and sociodemographic factors was from the records of the Finnish tax authorities and the 1990 census. Income data were available for more than 95% of the cohort. Follow-up was by record linkage to death certificates in 1991-1996; altogether about 261 000 deaths. RESULTS: The all-cause mortality ratio between the lowest and the highest household income decile is 2.37 (95% CI : 2.30-2.44) among men and 1.73 (95% CI : 1.67-1.80) among women. Adjusting for household structure, spouse's economic activity, social class, education and own economic activity attenuates the relationship by 61% among men and 52% among women. The association between income and mortality is mainly linear before and after adjusting for confounding, and the association is strong for all 5-year age groups below 60-64 years, after which it declines rapidly in strength. CONCLUSIONS: The mainly linear nature of the relationship and the strong attenuation after adjustment for other socioeconomic factors and economic activity status, and the age pattern of the relationship indicate that a large part of the relationship is unlikely to be due to direct causal effects of poverty and material hardship. Rather, income seems to be related to accumulation of factors that increase mortality over the whole range of incomes.     

State-level income inequality and individual mortality risk: a prospective, multilevel study

OBJECTIVES: Previous studies have linked state-level income inequality to mortality rates. However, it has been questioned whether the relationship is independent of individual-level income. The present study tests whether state-level income inequality is related to individual mortality risk, after adjustment for individual-level characteristics. METHODS: In this prospective, multilevel study design, the vital status of National Health Interview Survey (NHIS) respondents was ascertained by linkage to the National Death Index, with additional linkage of state-level data to individuals in the NHIS. The analysis included data for 546,888 persons, with 19,379 deaths over the 8-year follow-up period. The Gini coefficient was used as the measure of income inequality. RESULTS: Individuals living in high-income-inequality states were at increased risk of mortality (relative risk = 1.12; 95% confidence interval = 1.04, 1.19) compared with individuals living in low-income-inequality states. In stratified analyses, significant effects of state income inequality on mortality risk were found, primarily for near-poor Whites. CONCLUSIONS: State-level income inequality appears to exert a contextual effect on mortality risk, after income is adjusted for, providing further evidence that the distribution of income is important for health.     

Income inequality and mortality in metropolitan areas of the United States.

OBJECTIVES: This study examined associations between income inequality and mortality in 282 US metropolitan areas. METHODS: Income inequality measures were calculated from the 1990 US Census. Mortality was calculated from National Center for Health Statistics data and modeled with weighted linear regressions of the log age-adjusted rate. RESULTS: Excess mortality between metropolitan areas with high and low income inequality ranged from 64.7 to 95.8 deaths per 100,000 depending on the inequality measure. In age-specific analyses, income inequality was most evident for infant mortality and for mortality between ages 15 and 64. CONCLUSIONS: Higher income inequality is associated with increased mortality at all per capita income levels. Areas with high income inequality and low average income had excess mortality of 139.8 deaths per 100,000 compared with areas with low inequality and high income. The magnitude of this mortality difference is comparable to the combined loss of life from lung cancer, diabetes, motor vehicle crashes, human immunodeficiency virus (HIV) infection, suicide, and homicide in 1995. Given the mortality burden associated with income inequality, public and private sector initiatives to reduce economic inequalities should be a high priority.     

No association of income inequality with adult mortality within New Zealand: a multi-level study of 1.4 million 25-64 year olds

STUDY OBJECTIVE: To determine the association of regional income inequality within New Zealand with mortality among 25-64 year olds. DESIGN: Individual census and mortality records were linked over the 1991-94 period. Income inequality (Gini coefficients) and average household income variables were calculated for 35 regions. "Individual level" variables were sex, age, ethnicity, household income, rurality, and small area socioeconomic deprivation. Logistic regression was used for the analyses. Sensitivity analyses for the level of regional aggregation were conducted. PARTICIPANTS: 1.4 million New Zealand census respondents aged 25-64 years followed up for mortality for three years. Main results: Controlling for age, ethnicity, rurality, household income, and regional mean income, there was no association of income inequality with all cause mortality for either men (OR=1.007 for a 0.01 increase in the Gini, 95% confidence intervals 0.989 to 1.024) or women (OR=1.004, 0. 983 to 1.026). By cause of death (cancer, cardiovascular disease, unintentional injury, and suicide) there was some suggestion of a positive association for female unintentional injury (OR=1.068, 0.952 to 1.198) and suicide (OR=1.087, 0.957 to 1.234) but the 95% confidence intervals all included 1.0. Failure to control for ethnicity at the individual level resulted in some association of increasing regional income inequality with increasing mortality risk. Using fewer (n=14) or more (n=73) regional divisions did not substantially change the findings. CONCLUSION: There is no convincing evidence of an association of income inequality within New Zealand with adult mortality. Previous ecological analyses within New Zealand suggesting an association of income inequality with mortality were confounded by ethnicity at the individual level. However, this study does not refute the possibility that income inequality at the national level affects health.     

Income distribution and mortality: implications from a comparison of individual-level analysis and multilevel analysis with Swedish data

BACKGROUND: This follow-up study analyses whether there is an association between income distribution in Swedish municipalities and risk of death from all causes in the total Swedish population aged 40-64 years and compares the results obtained with analyses performed on individual-level analysis and multilevel analysis. METHODS: Individual-level data on social and economic circumstances were obtained from various official records and were linked to the national cause-of-death register. Analyses were made with two methods, an individual-level regression and a multilevel regression. The study population comprised all people 40-64 years of age in the 1990 Swedish census, altogether 2.57 million people in 284 municipalities. RESULTS: The main results showed that in the individual-level regression the income distribution showed a positive and significant association (risk ratio = 1.29; 95% CI = 1.24-1.34) with higher mortality for those living in municipalities with higher income inequality. This association was not found in the multilevel regression analysis (RR = 1.03; 95%CI = 0.94-1.13). CONCLUSION: There seems to be no association between income distribution and mortality in Sweden when considering the possibility of clustering in municipalities. Further studies on the relationship between income inequality and health should aim at elucidate processes within area-level units.     

Socioeconomic inequalities in mortality in the Basque Country [Spain]

OBJECTIVES: To describe socioeconomic inequalities in mortality in the Basque Country, using mortality and socioeconomic data by census sections. METHODS: Mortality and population data were obtained from the Basque Institute of Statistics. Socioeconomic characteristics of the census sections were assigned to each death and a deprivation index combining information from four socioeconomic indicators was computed. Age-adjusted mortality rates by sex, age group (0-64 > or = 65) and cause of death were calculated for each quintile of the deprivation index. Poisson regression models were fitted to estimate age-adjusted rate ratios and excess mortality attributable to inequalities. RESULTS: Mortality showed a gradient according to the deprivation index in men and women. Mortality was greater in the most deprived sections. Mortality inequalities were observed in men younger than 65 years. A total of 9.3% of deaths in men and 4.9% of those in women were attributable to socioeconomic inequalities. The relative importance of the cause of death differed according to the inequality measure used. Lifestyle-related causes of death were notable. CONCLUSION: This study illustrates the potential utility of census section socioeconomic indicators both to describe socioeconomic inequalities in mortality and to identify priorities for interventions.     

The effects of regional characteristics on alcohol-related mortality-a register-based multilevel analysis of 1.1 million men

The aim of this study is to assess to what extent selected characteristics of functional regions affect alcohol-related mortality among men in Finland after adjusting for individual-level characteristics. The study was conducted as a multilevel Poisson regression analysis, with individuals (n = 1.1 million) as the first level and functional regions of Finland (n = 84) as the second level. The analysis covered men aged 25-64. The data are based on the 1990 census records, which were linked to death records in 1991-1996. The outcome measure was alcohol-related mortality, which was defined using information on the underlying and contributory causes of death. The individual-level covariates included age, education, socioeconomic status, marital status and mother tongue. The area-level variables considered were the proportion of manual workers, unemployment level, median household income, Gini coefficient of income, family cohesion, voting turnout, level of urbanisation and proportion of Swedish-speaking inhabitants. A high proportion of manual workers and of unemployed and low social cohesion (family cohesion and voting turnout) were found to produce adverse effects on alcohol-related mortality, and the independent effects of these variables remained after adjustment for all individual-level and area-level characteristics. The protective effect of high level of urbanisation was revealed after adjustment for other individual- and area-level characteristics. Neither mean income nor income inequality were related to alcohol-related mortality. Adjusting for individual-level variables diminished the average relative deviation of alcohol-related mortality among the functional regions by 41%. The inclusion of area-level characteristics in the model resulted in a total diminution of variation of 79%. The area characteristics considered in this study had a notable effect on alcohol-related mortality, although these effects were smaller than those of the individual-level characteristics. Fuller understanding of the mechanisms underlying the effects of area measures of social structure and cohesion on risky alcohol consumption and alcohol-related mortality is needed.     

Contextual effect of income inequality on birth outcomes

BACKGROUND: Though associations between income inequality and birth outcome have been suggested, mechanisms underlying this relationship are not known. In this analysis, we examined the relationship between income inequality and preterm birth (PTB) and post-neonatal mortality (PNM) to explore two potential mechanisms-the proposed psychosocial stress and neo-material pathways. METHODS: Data on singleton births from 1998 to 2000 were obtained from the CDC's National Center for Health Statistics' Linked Birth and Infant Death files. The Gini Index was utilized to measure income inequality and was divided into tertiles representing high, medium, and low county-level inequality. To determine the association between the birth outcomes and county income inequality and to account for clustering within counties, we employed generalized estimating equation (GEE) modelling. RESULTS: PTB increased from 8.3% in counties with low income inequality to 10.0% in counties with high inequality. The Gini Index remained modestly associated with PTB after adjusting for individual level variables and mean county-level per capita income within the total population (AOR: 1.06; 95% CI 1.03-1.09) as well as within most of the racial/ethnic groups. PNM increased from 1.15 deaths per 1000 live births in low inequality counties to 1.32 in high-inequality counties. However, after adjustment, income inequality was only associated with PNM within the non-Hispanic black population (AOR: 1.20; 95% CI 1.03-1.39). CONCLUSIONS: These findings may provide some support for the association between income inequality and PTB. Further research is required to elucidate the biological mechanisms of income inequality.     

Mortality from leading causes by education and race in the United States, 2001

BACKGROUND: Low educational attainment is a marker of socioeconomic status that correlates strongly with higher death rates from many conditions. No previous studies have analyzed national data to measure the number of deaths associated with lower education among working-aged adults (25-64 years) by race or ethnicity. Furthermore, no previous studies have examined comprehensively the relationship of education to cause-specific and all-cause mortality in the three largest racial or ethnic groups in the United States using national data. METHODS: Age-standardized, race/ethnicity-specific death rates from all causes and the 15 leading causes were measured among men and women aged 25-64 years by level of education based on U.S. national mortality data in 2001. The total number of deaths that potentially could be avoided among people aged 25-64 years was estimated by applying the mortality rates among college graduates (within each 5-year category of age, gender, and race/ethnicity) to each of the less-educated subpopulations. All analyses were performed in 2007. RESULTS: Nearly half (48%) of all deaths among men aged 25-64 years (white, black, and Hispanic), and 38% of all deaths in women would not have occurred in this age range if all segments of the population experienced the death rates of college graduates. Black men and women had the highest death rates from all causes combined and from many specific causes at nearly all levels of education, and the largest average life years lost before age 65 years. However, the total number of deaths associated with low education status was not confined to any single racial group. About 161,280 deaths in whites, 40,840 deaths in blacks, and 13,162 deaths in Hispanics in this age range were associated with educational disparity. CONCLUSIONS: Potentially avoidable factors associated with lower educational status account for almost half of all deaths among working-aged adults in the U.S.; these deaths are not confined to any single racial or ethnic group. These findings highlight the need for greater attention to social determinants of health.     

Whose health is affected by income inequality? A multilevel interaction analysis of contemporaneous and lagged effects of state income inequality on individual self-rated health in the United States

The empirical relationship between income inequality and health has been much debated and discussed. Recent reviews suggest that the current evidence is mixed, with the relationship between state income inequality and health in the United States (US) being perhaps the most robust. In this paper, we examine the multilevel interactions between state income inequality, individual poor self-rated health, and a range of individual demographic and socioeconomic markers in the US. We use the pooled data from the 1995 and 1997 Current Population Surveys, and the data on state income inequality (represented using Gini coefficient) from the 1990, 1980, and 1970 US Censuses. Utilizing a cross-sectional multilevel design of 201,221 adults nested within 50 US states we calibrated two-level binomial hierarchical mixed models (with states specified as a random effect). Our analyses suggest that for a 0.05 change in the state income inequality, the odds ratio (OR) of reporting poor health was 1.30 (95% CI: 1.17-1.45) in a conditional model that included individual age, sex, race, marital status, education, income, and health insurance coverage as well as state median income. With few exceptions, we did not find strong statistical support for differential effects of state income inequality across different population groups. For instance, the relationship between state income inequality and poor health was steeper for whites compared to blacks (OR=1.34; 95% CI: 1.20-1.48) and for individuals with incomes greater than $75,000 compared to less affluent individuals (OR=1.65; 95% CI: 1.26-2.15). Our findings, however, primarily suggests an overall (as opposed to differential) contextual effect of state income inequality on individual self-rated poor health. To the extent that contemporaneous state income inequality differentially affects population sub-groups, our analyses suggest that the adverse impact of inequality is somewhat stronger for the relatively advantaged socioeconomic groups. This pattern was found to be consistent regardless of whether we consider contemporaneous or lagged effects of state income inequality on health. At the same time, the contemporaneous main effect of state income inequality remained statistically significant even when conditioned for past levels of income inequality and median income of states.     

Are socioeconomic inequalities in mortality decreasing or increasing within some British regions? An observational study, 1990-1998

BACKGROUND: This paper evaluates claims in a recent study that inequalities in small area mortality rates have lessened. We examine the effect of differently estimated populations on time trends in age-specific mortality rates for Yorkshire and the Humber and East of England. METHODS: Populations were estimated for wards using four methods that introduce increasing amounts of information. Age-specific mortality rates for age-groups 45-54, 55-64, 65-74 and 75-84 for both sexes were calculated for population-weighted deprivation quintiles. Inequality was tracked using ratios of rates in the most deprived quintile divided bythose in the least. RESULTS: When constant 1991 populations are used, rate ratios decrease for all age-sex groups, indicating shrinking inequality. When a method adjusting small area populations to official district estimates is used, both decreases and increases are observed in the mortality rate ratios. These results differ from Trent region findings of decreases in inequality. When small area populations are cohort-survived and adjusted to district populations, most differences in rate ratios indicate increasing inequality. When a method is used that includes information on migration and special populations, then seven out of eight age-sex groups exhibit increasing inequality. CONCLUSIONS: A judgement about trends in mortality inequality is highly dependent upon the denominator population used. Simpler estimation methods result in convergence of rate ratios, whereas more sophisticated methods result in increasing inequalities in most age-sex groups.     

Income distribution, public services expenditures, and all cause mortality in US States

INTRODUCTION: The objective of this paper is to investigate the relation between state and local government expenditures on public services and all cause mortality in 48 US states in 1987, and determine if the relation between income inequality and mortality is conditioned on levels of public services available in these jurisdictions. METHODS: Per capita public expenditures and a needs adjusted index of public services were examined for their association with age and sex specific mortality rates. OLS regression models estimated the contribution of public services to mortality, controlling for median income and income inequality. RESULTS: Total per capita expenditures on public services were significantly associated with all mortality measures, as were expenditures for primary and secondary education, higher education, and environment and housing. A hypothetical increase of 100 US dollars per capita spent on higher education, for example, was associated with 65.6 fewer deaths per 100,000 for working age men (p<0.01). The positive relation between income inequality and mortality was partly attenuated by controls for public services. DISCUSSION: Public service expenditures by state and local governments (especially for education) are strongly related to all cause mortality. Only part of the relation between income inequality and mortality may be attributable to public service levels.     

The association between state income inequality and worse health is not confounded by race

BACKGROUND: The relationship between income inequality and health across US states has been challenged recently on grounds that this relationship may be confounded by the effect of racial composition, measured as the proportion of the state's population who are black. METHODS: Using multilevel statistical models, we examined the association between state income inequality and poor self-rated health. The analysis was based on the pooled 1995 and 1997 Current Population Surveys, comprising 201 221 adults nested within 50 US states. RESULTS: Controlling for the individual effects of age, sex, race, marital status, education, income, health insurance coverage, and employment status, we found a significant effect of state income inequality on poor self-rated health. For every 0.05-increase in the Gini coefficient, the odds ratio (OR) of reporting poor health increased by 1.39 (95% CI: 1.26, 1.51). Additionally controlling for the proportion of the state population who are black did not explain away the effect of income inequality (OR = 1.30; 95% CI: 1.15, 1.45). While being black at the individual level was associated with poorer self-rated health, no significant relationship was found between poor self-rated health and the proportion of black residents in a state. CONCLUSION: Our finding demonstrates that neither race, at the individual level, nor racial composition, as measured at the state level, explain away the previously reported association between income inequality and poorer health status in the US.     

The widening gap in death rates among income groups in the United States from 1967 to 1986.

Death rates in the United States have fallen since the 1960s, but improvements have not been shared equally by all groups. This study investigates the change in inequality in mortality by income level from 1967 to 1986. Comparable death rates are constructed for 1967 and 1986 using National Mortality Followback Surveys as numerators and National Health Interview Surveys as denominators. Direct age-adjusted death rates are calculated for income levels for the U.S. noninstitutionalized civilian population 35 to 64 years old. A summary measure of inequality in mortality adjusts for differences in the size and definition of income groups in the two years. In both 1967 and 1986, mortality decreased with each rise in income level. Measured in relative terms, this inverse relationship was greater in 1986 then in 1967 for men and women, blacks and whites. Between 1967 and 1986, death rates for those with maximal income declined between two and three times more rapidly than did rates for the middle and low income groups. The greatest increase in relative inequality was seen among white males.     

The effects of US state income inequality and alcohol policies on symptoms of depression and alcohol dependence

Mental health is likely to be influenced by contextual variables that emerge only at the level of the group. We studied the effect of two such group-level variables, within-state income inequality and alcohol tax policy, on symptoms of current depression and alcohol dependence in a US national sample, controlling for state-level and individual characteristics. A cross-sectional US national probability sample provided the individual-level data. State income data were obtained from the 1990 US census. The Gini coefficient (raw and adjusted) indicated income inequality. Outcome measures included current symptoms of depression and alcohol dependence. Controlling for individual-level variables and state median income, the odds of depressive symptoms was not positively associated with state income inequality. Controlling for individual-level variables, state median income and alcohol distribution method, a weak negative association between Gini and alcohol dependence was observed in women, but this association disappeared after additional adjustment for beer tax. No association was observed in men. Higher state beer tax was significantly associated with lower prevalence of alcohol dependence symptoms for both men and women. The results suggest that state income inequality does not increase the experience of alcohol dependence or depression symptoms. However, evidence was found for a protective effect of increased beer taxation against alcohol dependence symptoms, suggesting the need to further consider the impact of alcohol policies on alcohol use disorders.     

Metropolitan income inequality and working-age mortality: A cross-sectional analysis using comparable data from five countries

The relationship between income inequality and mortality has come into question as of late from many within-country studies. This article examines the relationship between income inequality and working-age mortality for metropolitan areas (MAs) in Australia, Canada, Great Britain, Sweden, and the United States to provide a fuller understanding of national contexts that produce associations between inequality and mortality. An ecological cross-sectional analysis of income inequality (as measured by median share of income) and working-age (25–64) mortality by using census and vital statistics data for 528 MAs (population >50,000) from five countries in 1990–1991 was used. When data from all countries were pooled, there was a significant relationship between income inequality and mortality in the 528 MAs studied. A hypothetical increase in the share of income to the poorest half of households of 1% was associated with a decline in working-age mortality of over 21 deaths per 100,000. Within each country, however, a significant relationship between inequality and mortality was evident only for MAs in the United States and Great Britain. These two countries had the highest average levels of income inequality and the largest populations of the five countries studied. Although a strong ecological association was found between income inequality and mortality across the 528 MAs, an association between income inequality and mortality was evident only in within-country analyses for the two most unequal countries: the United States and Great Britain. The absence of an effect of metropolitan-scale income inequality on mortality in the more egalitarian countries of Canada. Australia, and Sweden is suggestive of national-scale policies in these countries that buffer hypothetical effects of income inequality as a determinant of population health in industrialized economies.     

Changing Urbanization Patterns in US Lung Cancer Mortality, 1950–2007

This study examined disparities in lung cancer mortality rates among US men and women in metropolitan and non-metropolitan areas from 1950 through 2007. Annual age-adjusted mortality rates were calculated for men and women in metropolitan and non-metropolitan areas, and differences in mortality rates were tested for statistical significance. Log-linear regression was used to model annual rates of change in mortality over time, while Poisson regression was used to estimate relative risk after adjusting for age, sex, deprivation, and urbanization levels. Urbanization patterns in lung cancer mortality changed dramatically between 1950 and 2007. Compared to men in metropolitan areas, men aged 25–64 years in non-metropolitan areas had significantly lower lung cancer mortality rates from 1950 to 1977 and men aged ≥65 years in non-metropolitan areas had lower mortality rates from 1950 to 1985. Differentials began to reverse and widen by the mid-1980s for men and by the mid-1990s for younger women. In 2007, compared to their metropolitan counterparts, men aged 25–64 and ≥65 years in non-metropolitan areas had 49 and 19% higher lung cancer mortality and women aged 25–64 and ≥65 years in non-metropolitan areas had 32 and 4% higher lung cancer mortality, respectively. Although adjustment for deprivation levels reduced excess lung cancer mortality risk among those in non-metropolitan areas, significant rural–urban differences remained. Rural–urban patterns reversed because of faster and earlier reductions in lung cancer mortality among men and women in metropolitan areas. Temporal trends in rural–urban disparities in lung cancer mortality appear to be consistent with those in smoking.     

Income inequality and limitations in activities of daily living: a multilevel analysis of the 2003 American Community Survey

OBJECTIVES: This study examined whether state income inequality was associated with an individual's limitations in activities of daily living (ADL) when controlling for the individual's demographic and socio-economic characteristics. STUDY DESIGN AND METHODS: The study was based on secondary analyses of data collected in the 2003 American Community Survey (ACS). The ACS is a national survey of Americans with a 96.7% response rate. The sample used for this research included 645,835 participants aged 25 years and older. A multilevel model with a non-linear logit link function was used. RESULTS: A 0.05 increase in the Gini coefficient (a measure of state level income inequality) was associated with an increase of 11% in the odds of ADL limitations [odds ratio (OR) 1.11, 95% confidence intervals 1.01-1.22] even after controlling for the individual's demographic and socio-economic characteristics. These elevated odds are comparable with those associated with women in comparison with men (OR 1.12). A separate analysis indicated that individuals in the three least equitable states had consistently higher probabilities of ADL limitations across the whole economic spectrum when compared with individuals in the three most equitable states. CONCLUSIONS: State-level income inequality and individual income levels were significant independent predictors of ADL limitations. The impact of any future changes in state-level income inequality or shifts in individual income levels in the USA could be used to further investigate if this relationship is causal.     

Changing social disparities and mortality in France (1968-1996): cause of death analysis by educational level

BACKGROUND: Little information is available on temporal trend in socioeconomic inequalities in cause of death mortality in France. The aim of this paper was to study educational differences in mortality in France by cause of death and their temporal trend. METHODS: We used a representative sample of 1% of the French population and compared four periods (1968-1974, 1975-1981, 1982-1988, 1990-1996). Causes of death were obtained by direct linkage with the French national death registry. Education was measured at the beginning of each period, and educational disparities in mortality were studied among men and women aged 30-64 at the beginning of each period. Analyses were conducted for all deaths and for the following causes of death: all cancers, lung cancer (among men), upper aerodigestive tract cancers (among men), breast cancer (among women), colorectal cancer, other cancers, cardiovascular diseases, ischaemic heart diseases, cerebrovascular diseases, other cardiovascular diseases, external causes, other causes of death. Socioeconomic inequalities were quantified with relative risks and relative indices of inequality. The relative indices of inequality measures socioeconomic inequalities across the population and can be interpreted as the ratio of mortality rates of those with the lowest to those with the highest socioeconomic status. RESULTS: Analyses showed an increase in educational differences in all cause mortality among men (the relative indices of inequality increased from 1.96 to 2.77 from the first to the last period) and among women (the relative indices of inequality increased from 1.87 to 2.53). Socioeconomic inequalities increased for all cause of death studied among women, and for cancer and cardiovascular diseases among men. The contribution of cancer mortality to difference in overall mortality between the lowest and the highest levels of education increased strongly over the whole study period, especially among women. CONCLUSION: This study shows that large socioeconomic inequalities in mortality are observed in France, and that they increase over time among men and women.