Literature DB >> 15207982

Current or lifetime smoking? Consequences for explaining educational inequalities in self-reported health.

Christiaan W S Monden1.   

Abstract

BACKGROUND: Studies explaining educational differences in health often employ current smoking as a mediator. To what extent does lifetime smoking mediate the association between education and self-reported health better than current smoking?
METHODS: Analysis of cross-sectional data from a representative general population sample of Dutch men and women (n = 1,561) with complete retrospective smoking histories.
RESULTS: Educational differences in smoking over the life course are more pronounced than educational differences in current smoking, especially among men. The association between education and self-reported health is reduced when controlling for smoking for men. Among women, smoking is not such a mediator. The odds ratio for men with primary education to report less than good health is reduced from 2.94 (95% CI: 1.20-6.30) to 2.62 (95% CI: 1.13-6.05) when current smoking is taken into account and to 2.14 (95% CI: 0.90-5.04) when lifetime smoking is controlled for. This reduction in the difference between the highest and lowest educated is approximately 30% and statistically significant. For women, reductions are smaller and non-significant.
CONCLUSIONS: Educational differences in smoking among men are underestimated if current instead of lifetime smoking is studied. Consequently, the contribution of smoking to bringing about social inequalities in health is underestimated if current smoking is measured. Copyright 2004 The Institute for Cancer Prevention and Elsevier Inc.

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Year:  2004        PMID: 15207982     DOI: 10.1016/j.ypmed.2004.02.016

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  3 in total

1.  Association of functional catechol O-methyl transferase (COMT) Val108Met polymorphism with smoking severity and age of smoking initiation in Chinese male smokers.

Authors:  Song Guo; Da Fang Chen; Dong Feng Zhou; Hong Qiang Sun; Gui Ying Wu; Colin N Haile; Therese A Kosten; Thomas R Kosten; Xiang Yang Zhang
Journal:  Psychopharmacology (Berl)       Date:  2007-01-06       Impact factor: 4.530

2.  Contribution of material, occupational, and psychosocial factors in the explanation of social inequalities in health in 28 countries in Europe.

Authors:  B Aldabe; R Anderson; M Lyly-Yrjänäinen; A Parent-Thirion; G Vermeylen; C C Kelleher; I Niedhammer
Journal:  J Epidemiol Community Health       Date:  2010-06-27       Impact factor: 3.710

3.  Occupational and behavioural factors in the explanation of social inequalities in premature and total mortality: a 12.5-year follow-up in the Lorhandicap study.

Authors:  Isabelle Niedhammer; Eve Bourgkard; Nearkasen Chau
Journal:  Eur J Epidemiol       Date:  2010-09-16       Impact factor: 8.082

  3 in total

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