Literature DB >> 8211276

Determinants of regional differences in lung cancer mortality in The Netherlands.

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

Abstract

Although regional differences in lung cancer mortality are likely to be attributable to regional differences in tobacco smoking, studies in various countries found only weak relationships. This paper aimed at explaining regional differences in lung cancer mortality in the Netherlands. In a first step, clues for the role of smoking were obtained from a detailed description of regional mortality differences. These differences were found to be strongly determined by cohort effects: they vary between birth cohorts, and have been stable for over 30 years. Regional mortality differences reflect a diffusion of the lung cancer epidemic from high-income regions to low-income regions. These findings are suggestive of a relationship with regional differences in trends in cigarette smoking. In a second step, by means of multiple regression analysis, mortality differences in 1980-84 were related to available data on cigarette smoking and two other possible risk factors: work in transport and manufacturing industry, and air contamination. The independent variables referred to the 1970s. Positive associations with various smoking measures were found for women, but for men the associations were weak or non-existent. Mortality differences among men 45-64 years were associated with work in transport and manufacturing industry. Strong associations with air contamination were found for men and women 65 years and older. Additional analysis showed that regional differences in lung cancer among old men were strongly associated with smoking in 1930, i.e. half a century before. Changes in the regional pattern of tobacco consumption between 1930 and 1970 explain why smoking in 1970 is not associated with mortality differences in the 1980s.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8211276     DOI: 10.1016/0277-9536(93)90101-9

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


  7 in total

1.  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

2.  Hospital service areas -- a new tool for health care planning in Switzerland.

Authors:  Gunnar Klauss; Lukas Staub; Marcel Widmer; André Busato
Journal:  BMC Health Serv Res       Date:  2005-05-09       Impact factor: 2.655

3.  Lung cancer, proximity to industry, and poverty in northeast England.

Authors:  T Pless-Mulloli; P Phillimore; S Moffatt; R Bhopal; C Foy; C Dunn; J Tate
Journal:  Environ Health Perspect       Date:  1998-04       Impact factor: 9.031

4.  Comparative study of two birth cohorts: did the explanatory role of behavioural, social and psychological factors in educational inequalities in mortality change over time?

Authors:  Silvia Klokgieters; Almar Kok; Judith Rijnhart; Marjolein Visser; Marjolein Broese van Groenou; Monique Verschuren; Susan Picavet; Martijn Huisman
Journal:  BMJ Open       Date:  2022-03-08       Impact factor: 2.692

5.  Regional perinatal mortality differences in the Netherlands; care is the question.

Authors:  Miranda Tromp; Martine Eskes; Johannes B Reitsma; Jan Jaap H M Erwich; Hens A A Brouwers; Greta C Rijninks-van Driel; Gouke J Bonsel; Anita C J Ravelli
Journal:  BMC Public Health       Date:  2009-04-14       Impact factor: 3.295

6.  Lung cancer risk and past exposure to emissions from a large steel plant.

Authors:  Oscar Breugelmans; Caroline Ameling; Marten Marra; Paul Fischer; Jan van de Kassteele; Johannes Lijzen; Arie Oosterlee; Rinske Keuken; Otto Visser; Danny Houthuijs; Carla van Wiechen
Journal:  J Environ Public Health       Date:  2013-11-13

7.  Regional Inequalities in Lung Cancer Mortality in Belgium at the Beginning of the 21st Century: The Contribution of Individual and Area-Level Socioeconomic Status and Industrial Exposure.

Authors:  Paulien Hagedoorn; Hadewijch Vandenheede; Didier Willaert; Katrien Vanthomme; Sylvie Gadeyne
Journal:  PLoS One       Date:  2016-01-13       Impact factor: 3.240

  7 in total

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