The reversed social gradient: higher breast cancer mortality in the higher educated compared to lower educated. A comparison of 11 European populations during the 1990s.

Higher socioeconomic position has been reported to be associated with increased risk of breast cancer mortality. Our aim was to see if this is consistently observed within 11 European populations in the 1990s. Longitudinal data on breast cancer mortality by educational level and marital status were obtained for Finland, Norway, Denmark, England and Wales, Belgium, France, Switzerland, Austria, Turin, Barcelona and Madrid. The relationship between breast cancer mortality and education was summarised by means of the relative index of inequality. A positive association was found in all populations, except for Finland, France and Barcelona. Overall, women with a higher educational level had approximately 15% greater risk of dying from breast cancer than those with lower education. This was observed both among never- and ever-married women. The greater risk of breast cancer mortality among women with a higher level of education was a persistent and generalised phenomenon in Europe in the 1990s.

Educational inequalities in cause-specific mortality in middle-aged and older men and women in eight western European populations.

BACKGROUND: Studies of socioeconomic disparities in patterns of cause of death have been limited to single countries, middle-aged people, men, or broad cause of death groups. We assessed contribution of specific causes of death to disparities in mortality between groups with different levels of education, in men and women, middle-aged and old, in eight western European populations. METHODS: We analysed data from longitudinal mortality studies by cause of death, between Jan 1, 1990, and Dec 31, 1997. Data were included for more than 1 million deaths in 51 million person years of observation. FINDINGS: Absolute educational inequalities in total mortality peaked at 2127 deaths per 100000 person years in men, and at 1588 deaths per 100000 person years in women aged 75 years and older. In this age-group, rate ratios were greater than 1.00 for total mortality and all specific causes of death, apart form prostate cancer in men and lung cancer in women, showing increased mortality in low versus high educational groups. In men, cardiovascular diseases accounted for 39% of the difference between low and high educational groups in total mortality, cancer for 24%, other diseases for 32%, and external causes for 5%. Among women, contributions were 60%, 11%, 30%, and 0%, respectively. The contributions of cerebrovascular disease, other cardiovascular diseases, pneumonia, and COPD strongly increased by age, whereas those of cancer and external causes declined. Although relative inequalities in total mortality were closely similar in all populations, we noted striking differences in the contribution of specific causes to these inequalities. INTERPRETATION: Research needs to be broadened to include older populations, other diseases, and populations from different parts of Europe. Effective interventions should be developed and implemented to reduce exposure to cardiovascular risk factors in low-educational groups.

Educational level and stroke mortality: a comparison of 10 European populations during the 1990s.

BACKGROUND AND PURPOSE: Variations between countries in occupational differences in stroke mortality were observed among men during the 1980s. This study estimates the magnitude of differences in stroke mortality by educational level among men and women aged >or=30 years in 10 European populations during the 1990s. METHODS: Longitudinal data from mortality registries were obtained for 10 European populations, namely Finland, Norway, Denmark, England/Wales, Belgium, Switzerland, Austria, Turin (Italy), Barcelona (Spain), and Madrid (Spain). Rate ratios (RRs) were calculated to assess the association between educational level and stroke mortality. The life table method was used to estimate the impact of stroke mortality on educational differences in life expectancy. RESULTS: Differences in stroke mortality according to educational level were of a similar magnitude in most populations. However, larger educational differences were observed in Austria. Overall, educational differences in stroke mortality were of similar size among men (RR, 1.27; 95% CI, 1.24 to 1.30) and women (RR, 1.29; 95% CI, 1.27 to 1.32). Educational differences in stroke mortality persisted at all ages in all populations, although they generally decreased with age. Eliminating these differences would on average reduce educational differences in life expectancy by 7% among men and 14% among women. CONCLUSIONS: Educational differences in stroke mortality were observed across Europe during the 1990s. Risk factors such as hypertension and smoking may explain part of these differences in several countries. Other factors, such as socioeconomic differences in healthcare utilization and childhood socioeconomic conditions, may have contributed to educational differences in stroke mortality across Europe.

Inequalities in lung cancer mortality by the educational level in 10 European populations.

Previous studies have shown that due to differences in the progression of the smoking epidemic European countries differ in the direction and size of socioeconomic variations in smoking prevalence. We studied differences in the direction and size of inequalities in lung cancer mortality by the educational level of subjects in 10 European populations during the 1990's. We obtained longitudinal mortality data by cause of death, age, sex and educational level for 4 Northern European populations (England/Wales, Norway, Denmark, Finland), 3 continental European populations (Belgium, Switzerland, Austria), and 3 Southern European populations (Barcelona, Madrid, Turin). Age- and sex-specific mortality rates by educational level were calculated, as well as the age- and sex-specific mortality rate ratios. Patterns of educational inequalities in lung cancer mortality suggest that England/Wales, Norway, Denmark, Finland and Belgium are the farthest advanced in terms of the progression of the smoking epidemic: these populations have consistently higher lung cancer mortality rates among the less educated in all age-groups in men, including the oldest men, and in all age-groups in women up to those aged 60-69 years. Madrid appears to be less advanced, with less educated men in the oldest age-group and less educated women in all age-groups still benefiting from lower lung cancer mortality rates. Switzerland, Austria, Turin and Barcelona occupy intermediate positions. The lung cancer mortality data suggest that inequalities in smoking contribute substantially to the educational differences in total mortality among men in all populations, except Madrid. Among women, these contributions are probably substantial in the Northern European countries and in Belgium, but only small in Switzerland, Austria, Turin and Barcelona, and negative in Madrid. In many European countries, policies and interventions that reduce smoking in less educated groups should be one of the main priorities to tackle socioeconomic inequalities in mortality. In some countries, particularly in Southern Europe, it may not be too late to prevent women in less educated groups from taking up the smoking habit, thereby avoiding large inequalities in mortality in the future in these countries.

Mortality among patients with familial hypercholesterolemia: a registry-based study in Norway, 1992-2010.

BACKGROUND: Untreated patients with familial hypercholesterolemia are at increased risk of premature cardiovascular death. The primary aim of this study was to investigate whether this is also the case in the statin era. METHODS AND RESULTS: In this registry-based study, 4688 male and female patients from the Unit for Cardiac and Cardiovascular Genetics (UCCG) Registry with verified molecular genetic diagnosis of familial hypercholesterolemia in the period 1992-2010 were linked to the Norwegian Cause of Death Registry. Standardized mortality ratios and 95% CIs were estimated. There were 113 deaths. Mean age of death was 61.1 years. Cardiovascular disease was the most common cause of death (46.0%), followed by cancer (30.1%). Compared with the Norwegian population, cardiovascular disease mortality was significantly higher in the UCCG Registry in all age groups younger than 70 years (standardized mortality ratio 2.29, 95% CI 1.65 to 3.19 in men and women combined; standardized mortality ratio 2.00, 95% CI 1.32 to 3.04 in men; standardized mortality ratio 3.03, 95% CI 1.76 to 5.21 in women). No significant differences were found in all-cause mortality or cancer mortality. CONCLUSIONS: Despite prescription of lipid-lowering drugs, familial hypercholesterolemia patients still had significantly increased cardiovascular disease mortality compared with the general Norwegian population.