BACKGROUND: The magnitude of educational inequalities in mortality avoidable by medical care in 16 European populations was compared, and the contribution of inequalities in avoidable mortality to educational inequalities in life expectancy in Europe was determined. METHODS: Mortality data were obtained for people aged 30-64 years. For each country, the association between level of education and avoidable mortality was measured with the use of regression-based inequality indexes. Life table analysis was used to calculate the contribution of avoidable causes of death to inequalities in life expectancy between lower and higher educated groups. RESULTS: Educational inequalities in avoidable mortality were present in all countries of Europe and in all types of avoidable causes of death. Especially large educational inequalities were found for infectious diseases and conditions that require acute care in all countries of Europe. Inequalities were larger in Central Eastern European (CEE) and Baltic countries, followed by Northern and Western European countries, and smallest in the Southern European regions. This geographic pattern was present in almost all types of avoidable causes of death. Avoidable mortality contributed between 11 and 24% to the inequalities in Partial Life Expectancy between higher and lower educated groups. Infectious diseases and cardiorespiratory conditions were the main contributors to this difference. CONCLUSIONS: Inequalities in avoidable mortality were present in all European countries, but were especially pronounced in CEE and Baltic countries. These educational inequalities point to an important role for healthcare services in reducing inequalities in health.

Educational inequalities in avoidable mortality in Europe.

COSTA, Giuseppe;
2010-01-01

Abstract

BACKGROUND: The magnitude of educational inequalities in mortality avoidable by medical care in 16 European populations was compared, and the contribution of inequalities in avoidable mortality to educational inequalities in life expectancy in Europe was determined. METHODS: Mortality data were obtained for people aged 30-64 years. For each country, the association between level of education and avoidable mortality was measured with the use of regression-based inequality indexes. Life table analysis was used to calculate the contribution of avoidable causes of death to inequalities in life expectancy between lower and higher educated groups. RESULTS: Educational inequalities in avoidable mortality were present in all countries of Europe and in all types of avoidable causes of death. Especially large educational inequalities were found for infectious diseases and conditions that require acute care in all countries of Europe. Inequalities were larger in Central Eastern European (CEE) and Baltic countries, followed by Northern and Western European countries, and smallest in the Southern European regions. This geographic pattern was present in almost all types of avoidable causes of death. Avoidable mortality contributed between 11 and 24% to the inequalities in Partial Life Expectancy between higher and lower educated groups. Infectious diseases and cardiorespiratory conditions were the main contributors to this difference. CONCLUSIONS: Inequalities in avoidable mortality were present in all European countries, but were especially pronounced in CEE and Baltic countries. These educational inequalities point to an important role for healthcare services in reducing inequalities in health.
2010
64(10)
913
920
Stirbu I; Kunst AE; Bopp M; Leinsalu M; Regidor E; Esnaola S; Costa G; Martikainen P; Borrell C; Kalediene R; Rychtarikova J; Artnik B; Deboosere P; Mackenbach JP
File in questo prodotto:
File Dimensione Formato  
articolo.pdf

Accesso riservato

Tipo di file: MATERIALE NON BIBLIOGRAFICO
Dimensione 125.03 kB
Formato Adobe PDF
125.03 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/134356
Citazioni
  • ???jsp.display-item.citation.pmc??? 26
  • Scopus 70
  • ???jsp.display-item.citation.isi??? 72
social impact