Literature DB >> 2389149

Socio-economic mortality differences in The Netherlands in 1950-1984: a regional study of cause-specific mortality.

A E Kunst1, C W Looman, J P Mackenbach.   

Abstract

The finding that mortality differences between occupational classes in England and Wales have widened during the postwar period raises the question whether a similar development has occurred in other industrialised countries. In this paper, a comparison is made with results from a geographical study on the Netherlands. This study compares four periods between 1950 and 1984 by means of a standard regional division, a single socio-economic index, uniform cause-of-death groups and a standard regression procedure. During the postwar period, the relationship between socio-economic level and all-cause mortality has become (more) negative. This development can to a large extent be attributed to 'negative' trends for lung cancer, diabetes mellitus, ischaemic heart disease, cerebrovascular disease and traffic accidents. High-level regions have fared better partly because favourable changes in national mortality trends seem to have begun first in these regions. The findings from this regional study agree to a large extent with evidence from Dutch studies at the individual level. It is concluded that socio-economic mortality differences in England and Wales and the Netherlands have probably developed similarly in various respects.

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Year:  1990        PMID: 2389149     DOI: 10.1016/0277-9536(90)90055-w

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  16 in total

1.  Can we monitor socioeconomic inequalities in health? A survey of U.S. health departments' data collection and reporting practices.

Authors:  N Krieger; J T Chen; G Ebel
Journal:  Public Health Rep       Date:  1997 Nov-Dec       Impact factor: 2.792

2.  The impact of area deprivation on differences in health: does the choice of the geographical classification matter?

Authors:  S A Reijneveld; R A Verheij; D H de Bakker
Journal:  J Epidemiol Community Health       Date:  2000-04       Impact factor: 3.710

3.  Increasing inequalities in premature mortality in Great Britain.

Authors:  A H Leyland
Journal:  J Epidemiol Community Health       Date:  2004-04       Impact factor: 3.710

4.  Occupational class and ischemic heart disease mortality in the United States and 11 European countries.

Authors:  A E Kunst; F Groenhof; O Andersen; J K Borgan; G Costa; G Desplanques; H Filakti; M do R Giraldes; F Faggiano; S Harding; C Junker; P Martikainen; C Minder; B Nolan; F Pagnanelli; E Regidor; D Vågerö; T Valkonen; J P Mackenbach
Journal:  Am J Public Health       Date:  1999-01       Impact factor: 9.308

5.  Material deprivation and leading causes of death by gender: evidence from a nationwide small area study.

Authors:  J Benach; Y Yasui; C Borrell; M Sáez; M I Pasarin
Journal:  J Epidemiol Community Health       Date:  2001-04       Impact factor: 3.710

6.  Shrinking, widening, reversing, and stagnating trends in US socioeconomic inequities in cancer mortality for the total, black, and white populations: 1960-2006.

Authors:  Nancy Krieger; Jarvis T Chen; Anna Kosheleva; Pamela D Waterman
Journal:  Cancer Causes Control       Date:  2011-11-25       Impact factor: 2.506

7.  Cardioprotective effect of hormone replacement therapy in postmenopausal women: is the evidence biased?

Authors:  W F Posthuma; R G Westendorp; J P Vandenbroucke
Journal:  BMJ       Date:  1994-05-14

8.  The size of mortality differences associated with educational level in nine industrialized countries.

Authors:  A E Kunst; J P Mackenbach
Journal:  Am J Public Health       Date:  1994-06       Impact factor: 9.308

9.  Age, socioeconomic status, and mortality at the aggregate level.

Authors:  S A Reijneveld; L J Gunning-Schepers
Journal:  J Epidemiol Community Health       Date:  1994-04       Impact factor: 3.710

10.  Educational inequalities in mortality by cause of death: first national data for the Netherlands.

Authors:  Ivana Kulhánová; Rasmus Hoffmann; Terje A Eikemo; Gwenn Menvielle; Johan P Mackenbach
Journal:  Int J Public Health       Date:  2014-06-27       Impact factor: 3.380

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