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

Mauricio Avendaño; Anton E Kunst; Martijn Huisman; Frank van Lenthe; Matthias Bopp; Carme Borrell; Tapani Valkonen; Enrique Regidor; Giuseppe Costa; Angela Donkin; Jens-Kristian Borgan; Patrick Deboosere; Sylvie Gadeyne; Teresa Spadea; Otto Andersen; Johan P Mackenbach

doi:10.1161/01.STR.0000109225.11509.EE

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

Mauricio Avendaño, Anton E Kunst, Martijn Huisman, Frank van Lenthe, Matthias Bopp, Carme Borrell, Tapani Valkonen, Enrique Regidor, Giuseppe Costa, Angela Donkin, Jens-Kristian Borgan, Patrick Deboosere, Sylvie Gadeyne, Teresa Spadea, Otto Andersen, Johan P Mackenbach

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Abstract

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.

Original language	English
Pages (from-to)	432-437
Number of pages	6
Journal	Stroke
Volume	35
Issue number	2
DOIs	https://doi.org/10.1161/01.STR.0000109225.11509.EE
Publication status	Published - Feb 2004

Keywords

Adult
Aged
Cohort Studies
Educational Status
Europe
Female
Follow-Up Studies
Humans
Life Expectancy
Life Tables
Longitudinal Studies
Male
Middle Aged
Odds Ratio
Registries
Sex Distribution
Stroke

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1161/01.STR.0000109225.11509.EE

Cite this

Avendaño, M., Kunst, A. E., Huisman, M., van Lenthe, F., Bopp, M., Borrell, C., Valkonen, T., Regidor, E., Costa, G., Donkin, A., Borgan, J.-K., Deboosere, P., Gadeyne, S., Spadea, T., Andersen, O., & Mackenbach, J. P. (2004). Educational level and stroke mortality: a comparison of 10 European populations during the 1990s. Stroke, 35(2), 432-437. https://doi.org/10.1161/01.STR.0000109225.11509.EE

@article{fa878c351adc4c2393543c1ce25c8b3a,

title = "Educational level and stroke mortality: a comparison of 10 European populations during the 1990s",

abstract = "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.",

keywords = "Adult, Aged, Cohort Studies, Educational Status, Europe, Female, Follow-Up Studies, Humans, Life Expectancy, Life Tables, Longitudinal Studies, Male, Middle Aged, Odds Ratio, Registries, Sex Distribution, Stroke",

author = "Mauricio Avenda{\~n}o and Kunst, {Anton E} and Martijn Huisman and {van Lenthe}, Frank and Matthias Bopp and Carme Borrell and Tapani Valkonen and Enrique Regidor and Giuseppe Costa and Angela Donkin and Jens-Kristian Borgan and Patrick Deboosere and Sylvie Gadeyne and Teresa Spadea and Otto Andersen and Mackenbach, {Johan P}",

year = "2004",

month = feb,

doi = "10.1161/01.STR.0000109225.11509.EE",

language = "English",

volume = "35",

pages = "432--437",

journal = "Stroke",

issn = "0039-2499",

publisher = "American Heart Association",

number = "2",

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Avendaño, M, Kunst, AE, Huisman, M, van Lenthe, F, Bopp, M, Borrell, C, Valkonen, T, Regidor, E, Costa, G, Donkin, A, Borgan, J-K, Deboosere, P, Gadeyne, S, Spadea, T, Andersen, O & Mackenbach, JP 2004, 'Educational level and stroke mortality: a comparison of 10 European populations during the 1990s', Stroke, vol. 35, no. 2, pp. 432-437. https://doi.org/10.1161/01.STR.0000109225.11509.EE

TY - JOUR

T1 - Educational level and stroke mortality

T2 - a comparison of 10 European populations during the 1990s

AU - Avendaño, Mauricio

AU - Kunst, Anton E

AU - Huisman, Martijn

AU - van Lenthe, Frank

AU - Bopp, Matthias

AU - Borrell, Carme

AU - Valkonen, Tapani

AU - Regidor, Enrique

AU - Costa, Giuseppe

AU - Donkin, Angela

AU - Borgan, Jens-Kristian

AU - Deboosere, Patrick

AU - Gadeyne, Sylvie

AU - Spadea, Teresa

AU - Andersen, Otto

AU - Mackenbach, Johan P

PY - 2004/2

Y1 - 2004/2

N2 - 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.

AB - 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.

KW - Adult

KW - Aged

KW - Cohort Studies

KW - Educational Status

KW - Europe

KW - Female

KW - Follow-Up Studies

KW - Humans

KW - Life Expectancy

KW - Life Tables

KW - Longitudinal Studies

KW - Male

KW - Middle Aged

KW - Odds Ratio

KW - Registries

KW - Sex Distribution

KW - Stroke

U2 - 10.1161/01.STR.0000109225.11509.EE

DO - 10.1161/01.STR.0000109225.11509.EE

M3 - Article

C2 - 14726555

SN - 0039-2499

VL - 35

SP - 432

EP - 437

JO - Stroke

JF - Stroke

IS - 2

ER -

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

Abstract

Keywords

UN SDGs

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