Trends in socioeconomic inequalities in breast cancer mortality in Canada: 1992-2019.

BackgroundPancreatic cancer is one of the leading causes of death in Canada and is projected to be the second leading cause of cancer death by 2030. This study sought to evaluate education and income inequalities in pancreatic cancer mortality in Canada between 1990 and 2019. MethodsUsing a unique census division level dataset (n = 280) constructed from the Canadian Vital Statistics Death Database, Canadian Census of Population (1991, 1996, 2001, 2006, 2016), and National Household Survey (2011) we assess socioeconomic inequalities in pancreatic cancer in Canada. Age-standardized Concentration index was used to quantify income and education inequalities in pancreatic cancer mortality. Trends analyses were conducted to assess changes in income and education inequalities in pancreatic cancer mortality over time. ResultsOur results show that crude pancreatic cancer mortality in Canada increased significantly from 10.23 for males and 9.65 for females in 1990, to 15.99 for males and 14.28 for females in 2019, per 100,000 people. The statistically significant negative values of age-standardized Concentration indices suggest persistent income and education inequalities in pancreatic cancer mortality in Canada. Trend analyses indicates reductions in income and education inequalities in pancreatic cancer mortality over time, particularly among females. ConclusionsSignificant income and education inequalities in pancreatic cancer mortality in Canada warrant public policy concern and action. Further research is required to understand whether differential access to treatment across socioeconomic groups played a role in the observed socioeconomic inequalities.

BackgroundOver the past decades, both health inequalities and income inequalities have been increasing in many European countries, but it is unknown whether and how these trends are related. We test the hypothesis that trends in health inequalities and trends in income inequalities are related, i.e. that countries with a stronger increase in income inequalities have also experienced a stronger increase in health inequalities.MethodsWe collected trend data on all-cause and cause-specific mortality, as well as on the household income of people aged 35–79, for Belgium, Denmark, England & Wales, France, Slovenia, and Switzerland. We calculated absolute and relative differences in mortality and income between low- and high-educated people for several time points in the 1990s and 2000s. We used fixed-effects panel regression models to see if changes in income inequality predicted changes in mortality inequality.ResultsThe general trend in income inequality between high- and low-educated people in the six countries is increasing, while the mortality differences between educational groups show diverse trends, with absolute differences mostly decreasing and relative differences increasing in some countries but not in others. We found no association between trends in income inequalities and trends in inequalities in all-cause mortality, and trends in mortality inequalities did not improve when adjusted for rising income inequalities. This result held for absolute as well as for relative inequalities. A cause-specific analysis revealed some association between income inequality and mortality inequality for deaths from external causes, and to some extent also from cardiovascular diseases, but without statistical significance.ConclusionsWe find no support for the hypothesis that increasing income inequality explains increasing health inequalities. Possible explanations are that other factors are more important mediators of the effect of education on health, or more simply that income is not an important determinant of mortality in this European context of high-income countries. This study contributes to the discussion on income inequality as entry point to tackle health inequalities. More research is needed to test the common and plausible assumption that increasing income inequality leads to more health inequality, and that one needs to act against the former to avoid the latter.Electronic supplementary materialThe online version of this article (doi:10.1186/s12939-016-0390-0) contains supplementary material, which is available to authorized users.

Socioeconomic inequalities in kidney and renal pelvis cancer mortality in Canada: Trends over three decades

BackgroundSocioeconomic inequalities in cancer mortality have been observed in different European countries and the US until the end of the 1990s, with changes over time in the magnitude of these inequalities and contrasted situations between countries. The aim of this study is to estimate relative and absolute educational differences in cancer mortality in France between 1999 and 2007, and to compare these inequalities with those reported during the 1990s.MethodsData from a representative sample including 1% of the French population were analysed. Educational differences among people aged 30–74 were quantified with hazard ratios and relative indices of inequality (RII) computed using Cox regression models as well as mortality rate difference and population attributable fraction.ResultsIn the period 1999–2007, large relative inequalities were found among men for total cancer and smoking and/or alcohol related cancers mortality (lung, head and neck, oesophagus). Among women, educational differences were reported for total cancer, head and neck and uterus cancer mortality. No association was found between education and breast cancer mortality. Slight educational differences in colorectal cancer mortality were observed in men and women. For most frequent cancers, no change was observed in the magnitude of relative inequalities in mortality between the 1990s and the 2000s, although the RII for lung cancer increased both in men and women. Among women, a large increase in absolute inequalities in mortality was observed for all cancers combined, lung, head and neck and colorectal cancer. In contrast, among men, absolute inequalities in mortality decreased for all smoking and/or alcohol related cancers.ConclusionAlthough social inequalities in cancer mortality are still high among men, an encouraging trend is observed. Among women though, the situation regarding social inequalities is less favourable, mainly due to a health improvement limited to higher educated women. These inequalities may be expected to further increase in future years.

Ovarian cancer ranks as the fifth leading cause of cancer deaths among Canadian women. This study aims to investigate trends in socioeconomic inequalities in ovarian cancer mortality over the past three decades, from 1990 to 2019. A dataset was construed at Census Division (n = 280) level in Canada using information from the Canadian Vital Statistics Death Database, the Canadian Census of Population and the National Household Survey. Socioeconomic inequalities in ovarian cancer mortality were assessed using the age-standardized Concentration Index (C), based on average/median equivalized household income, and educational attainment (bachelor’s degree or higher). The average crude mortality rate for ovarian cancer in Canada was 9.7 per 100,000, with the highest rates in British Columbia and the Atlantic region. The negative values of age-standardized C based on average income and educational attainment – indicating higher ovarian cancer mortality rates among low socioeconomic groups – reached statistical significance in certain years, particularly in the more recent period. Trend analysis revealed a notable pattern of increasing income inequality in ovarian cancer mortality over time based on average income. The observed socioeconomic inequalities in ovarian cancer mortality warrant further investigation to identify the underlying factors contributing to this pattern in Canada.

BackgroundEducational inequalities in total mortality in Norway have widened during 1960–2000. We wanted to investigate if inequalities have continued to increase in the post millennium decade, and which causes of deaths were the main drivers.MethodsAll deaths (total and cause specific) in the adult Norwegian population aged 45–74 years over five decades, until 2010 were included; in all 708,449 deaths and over 62 million person years. Two indices of inequalities were used to measure inequality and changes in inequalities over time, on the relative scale (Relative Index of Inequality, RII) and on the absolute scale (Slope Index of Inequality, SII).ResultsRelative inequalities in total mortality increased over the five decades in both genders. Among men absolute inequalities stabilized during 2000–2010, after steady, significant increases each decade back to the 1960s, while in women, absolute inequalities continued to increase significantly during the last decade. The stabilization in absolute inequalities among men in the last decade was mostly due to a fall in inequalities in cardiovascular disease (CVD) mortality and lung cancer and respiratory disease mortality. Still, in this last decade, the absolute inequalities in cause-specific mortality among men were mostly due to cardiovascular diseases (CVD) (34% of total mortality inequality), lung cancer and respiratory diseases (21%). Among women the absolute inequalities in mortality were mostly due to lung cancer and chronic lower respiratory tract diseases (30%) and CVD (27%).ConclusionsIn men, absolute inequalities in mortality have stopped increasing, seemingly due to reduction in inequalities in CVD mortality. Absolute inequality in mortality continues to widen among women, mostly due to death from lung cancer and chronic lung disease. Relative educational inequalities in mortality are still on the rise for Norwegian men and women.

Previous studies on socio-economic inequalities in mortality have documented a substantial contribution of alcohol-attributable mortality (AAM) to these inequalities. However, little is known about the extent to which AAM has contributed to time trends in socio-economic inequalities in mortality. To study long-term trends in educational inequalities in AAM and assessed their impact on trends in educational inequalities in life expectancy in three European countries. We analyzed cause-specific mortality data by educational group (low, middle, high) for individuals aged 30 and older in England and Wales, Finland, and Turin (Italy) over the 1972-2017 period. To estimate AAM, we used the multiple causes of death approach for England and Wales and Finland (1987-2017), and a recently introduced method for Turin (Italy). We used segmented regression analysis to study changes in absolute educational inequalities in AAM, measured by the Slope Index of Inequality (SII). We assessed the contribution of AAM to trends in educational differences in remaining life expectancy at age 30 (e30) using cause-deleted life tables. AAM increased more among the low-educated than the high-educated in England and Wales (1972-2017) and Finland (1987-2007). In contrast, in Finland (2007 onwards) and Turin (1972-2017), AAM decreased more among the low-educated than the high-educated. In England and Wales, AAM contributed 37% (males) and 24% (females) of the increase in educational inequalities in e30. In Finland in 1987-2007, AAM contributed 50% (males) and 34% (females) of the increase in educational inequalities in e30. AAM also contributed to recent trend breaks, such as to the onset of an increase in educational inequalities in e30 in England and Wales, and to the onset of a decline in educational inequalities in e30 in Finland after 2007. AAM mortality contributed substantially not only to levels of, but also to changes in educational inequalities in e30 in the studied populations. Reducing the impact of alcohol on mortality among low-educated groups may positively affect trends in educational inequalities in life expectancy.

Breast cancer incidence and mortality rates in Korea are increasing. This study analyzed income-based inequalities in the incidence and mortality of women breast cancer from 2006 to 2015, using national data that covered all Korean women. We used the National Health Information Database from 2006 to 2015. For women aged 20 and older, the age-standardized incidence and mortality rates of breast cancer per 100,000 by income quintile per year were calculated using the direct method. The rate ratio and rate difference (RD) of the age-standardized incidence and mortality rates of breast cancer per 100,000 between the top and bottom income quintiles were calculated as relative and absolute measures for inequalities. When comparing 2006 and 2015, both the incidence and mortality rates of breast cancer increased. The lowest income quintile experienced higher mortality rates despite having lower incidence rates. In 2015, the income-based RD in incidence and mortality rates between the highest and lowest income quintiles (Q1-Q5) was -19.9 (95% confidence interval [CI], -24.3 to -15.5) and 4.4 (95% CI, 2.9 to 5.8), respectively. Throughout this period, there was no statistically significant trend in income-based disparities in breast cancer incidence and mortality. The age-specific contributions to the absolute magnitude of inequality (RD) in incidence and mortality were more pronounced among middle-aged women than among older women. This study found that breast cancer in Korea exhibited pro-rich inequalities in mortality despite pro-poor inequalities in incidence. More equitable policies for screening and treatment of breast cancer are needed.

Aims: Research is scarce regarding studies on income and educational inequality trends in cardiovascular disease in Sweden. The aim of this study was to assess trends in educational and income inequalities in first hospitalizations due to cardiovascular disease (CVD) from 1993 to 2010 among middle-aged women and men in Northern Sweden. Methods: The study comprised repeated cross-sectional register data from year 1993-2010 of all individuals aged 38-62 years enrolled in the Västerbotten Intervention Programme (VIP). Data included highest educational level, total earned income and first-time hospitalization for CVD from national registers. The relative and slope indices of inequality (RII and SII, respectively) were used to estimate educational and income inequalities in CVD for six subsamples for women and men, and interaction analyses were used to estimate trends across time periods. Results: Educational RII and SII were stable in women, while they decreased in men. Income inequalities in CVD developed differently compared with educational inequalities, with RII and SII for both men and women increasing during the study period, the most marked for RII in women rising from 1.52 in the 1990s to 2.62 in the late 2000s. Conclusions: The trend of widening income inequalities over 18 years in the middle-aged in Northern Sweden, in the face of stable or even decreasing educational inequalities, is worrisome from a public health perspective, especially as Swedish authorities monitor socioeconomical inequalities exclusively by education. The results show that certain social inequalities in CVD rise and persist even within a traditionally egalitarian welfare regime.

BackgroundMaterial and behavioural factors play an important role in explaining educational inequalities in mortality, but gender differences in these contributions have received little attention thus far. We examined the contribution of a range of possible mediators to relative educational inequalities in mortality for men and women separately.MethodsBaseline data (1991) of men and women aged 25 to 74 years participating in the prospective Dutch GLOBE study were linked to almost 23 years of mortality follow-up from Dutch registry data (6099 men and 6935 women). Cox proportional hazard models were used to calculate hazard ratios with 95% confidence intervals, and to investigate the contribution of material (financial difficulties, housing tenure, health insurance), employment-related (type of employment, occupational class of the breadwinner), behavioural (alcohol consumption, smoking, leisure and sports physical activity, body mass index) and family-related factors (marital status, living arrangement, number of children) to educational inequalities in all-cause and cause-specific mortality, i.e. mortality from cancer, cardiovascular disease, other diseases and external causes.ResultsEducational gradients in mortality were found for both men and women. All factors together explained 62% of educational inequalities in mortality for lowest educated men, and 71% for lowest educated women. Yet, type of employment contributed substantially more to the explanation of educational inequalities in all-cause mortality for men (29%) than for women (− 7%), whereas the breadwinner’s occupational class contributed more for women (41%) than for men (7%). Material factors and employment-related factors contributed more to inequalities in mortality from cardiovascular disease for men than for women, but they explained more of the inequalities in cancer mortality for women than for men.ConclusionsGender differences in the contribution of employment-related factors to the explanation of educational inequalities in all-cause mortality were found, but not of material, behavioural or family-related factors. A full understanding of educational inequalities in mortality benefits from a gender perspective, particularly when considering employment-related factors.

BackgroundSocioeconomic 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...

to describe changes in relative and absolute inequalities in mortality by education level between 2001 and 2016 in the Emilian longitudinal study (SLEm) and to estimate the impact of these inequalities at population level. closed cohort study based on record-linkage between municipal population registries, Census archives of 2001 and 2011, and the mortality register. 2001- and 2011-Census respondents >=30 years old residing in Bologna, Modena, or Reggio Emilia followed up to the age of 75 years, death, emigration, or end of follow-up (December 2006 or December 2016). premature mortality for all causes and for 16 groups of causes known to be associated with socioeconomic position. In order to capture various aspects of the inequalities, the association with the education level is assessed through summary regression-based indexes (Relative and Slope Index of Inequality) and the Attributable Population Fraction. premature mortality declined across all educational level between 2001-2006 and 2011-2016; declines were greater among men than women. Among men, relative inequalities in mortality slightly increased (RII from 1.86 in 2001 to 2.13 in 2011), while absolute inequalities declined (SII from 382.3 to 360.6). Among women, both relative and absolute inequalities increased (RII from 1.23 to 1.65, SII from 73.7 to 137.4). Educational inequalities in lung cancer, respiratory and cerebrovascular diseases mortality decreased among men and increased among women. The proportion of the low educated shrank over time (men: from 40% to 36%; women: from 43% to 35%); nonetheless, the fraction of the deaths attributable to educational inequalities showed an upward tendency (from 18.5% to 21.9% in men and from 9.7% to 15.6% in women); the groups of causes that contribute most to this increase were malignant cancers, especially lung cancer, diseases of the circulatory and respiratory systems, and accidents. relative inequalities slightly increased in both genders, while absolute inequalities only in women. A reduction in the population impact could be achieved by tackling educational inequalities in mortality due to lung cancer, diseases of the circulatory and respiratory systems, and accidents.

BackgroundRecent studies suggest that inequalities in premature mortality have continued to rise over the last decade in most European countries, but not in southern European countries.MethodsIn this study, we assess...

ObjectiveWe investigate recent trends in income inequalities in mortality and the shape of the association in Sweden. We consider all-cause, preventable and non-preventable mortality for three age groups (30–64, 65–79...

IntroductionBreast cancer is the most common cancer among females in Canada. This study examines trends in socioeconomic inequalities in the incidence of breast cancer in Canada over time from 1992 to 2010.MethodsA census division level dataset was constructed using the Canadian Cancer Registry, Canadian Census of the Population and National Household Survey. A summary measure of the Concentration index (C), which captures inequality across socioeconomic groups, was used to measure income and education inequalities in breast cancer incidence over the 19-year period.ResultsThe crude breast cancer incidence increased in Canada between 1992 and 2010. Age-standardized C values indicated no income or education inequalities in breast cancer incidence in the years from 1992 to 2004. However, the incidence was significantly concentrated among females in high income and highly educated neighbourhoods almost half the time in the 6 most recent years (2005–2010). The trend analysis indicated an increase in breast cancer incidence among females living in high income and highly educated neighbourhoods.ConclusionBreast cancer incidence in Canada was associated with increased socioeconomic status in some more recent years. Our study findings provide previously unavailable empirical evidence to inform discussions on socioeconomic inequalities in breast incidence.