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European Journal of Cancer
Article . 2004 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
https://dx.doi.org/10.5167/uzh...
Other literature type . 2004
Data sources: Datacite
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Inequalities in lung cancer mortality by the educational level in 10 European populations

Authors: Mackenbach, J P; Huisman, M; Andersen, O; Bopp, M; Borgan, J K; Borrell, C; Costa, G; +8 Authors

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

Abstract

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.

Countries
Switzerland, Netherlands, Belgium
Keywords

Adult, Male, Lung Neoplasms, 610 Medicine & health, EMC NIHES-02-65-02, Socioeconomic factors, Education, Age Distribution, SDG 3 - Good Health and Well-being, Prevalence, Humans, 1306 Cancer Research, Mortality, Sex Distribution, Aged, Aged, 80 and over, Smoking, 10060 Epidemiology, Biostatistics and Prevention Institute (EBPI), Middle Aged, Europe, International, Educational Status, Regression Analysis, 2730 Oncology, Female, Lung cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
162
Top 10%
Top 1%
Top 1%
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