Literature DB >> 22401648

Does the association between smoking and mortality differ by educational level?

Rana Charafeddine1, Herman Van Oyen, Stefaan Demarest.   

Abstract

Some researchers suggest that the effect of smoking on health depends on socioeconomic status; while others purport that the effect of smoking on health is similar across all social groups. This question of the interaction between smoking and socioeconomic status is important to an improved understanding of the role of smoking in the social gradient in mortality and morbidity. For this purpose, we examined whether educational level modifies the association between smoking and mortality. Information on smoking by age, gender and educational level was extracted from the Belgian Health Interview Surveys of 1997 and 2001. The mortality follow up of the survey respondents was reported until December 2010. A Poisson regression was used to estimate the hazard ratio of mortality for heavy smokers, light smokers, and former smokers compared with never smokers by educational level controlling for age and other confounders. Among men, we found lower hazard ratios in the lowest educational category compared with the intermediate and high-educated categories. For instance, for heavy smokers, the hazard ratios were 2.59 (1.18-5.70) for those with low levels of education, 4.03 (2.59-6.26) for those with intermediate levels of education and 3.78 (1.52-9.43) for the highly educated. However, the interaction between smoking and education was not statistically significant. For women, the hazard ratios were not significant for any educational category except for heavy smokers with intermediate levels of education. Also here the interaction was not statistically significant. Our results support the hypothesis that educational attainment does not substantially influence the association between smoking and mortality.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22401648     DOI: 10.1016/j.socscimed.2012.01.015

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


  6 in total

1.  Smoking and Physical Inactivity as Predictors of Mobility Impairment During Late Life: Exploring Differential Vulnerability Across Education Level in Sweden.

Authors:  Neda Agahi; Stefan Fors; Johan Fritzell; Benjamin A Shaw
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2018-04-16       Impact factor: 4.077

2.  Socioeconomic position and mortality risk of smoking: evidence from the English Longitudinal Study of Ageing (ELSA).

Authors:  Dan Lewer; Martin McKee; Antonio Gasparrini; Aaron Reeves; Cesar de Oliveira
Journal:  Eur J Public Health       Date:  2017-12-01       Impact factor: 3.367

3.  The effect of smoking on the duration of life with and without disability, Belgium 1997-2011.

Authors:  Herman Van Oyen; Nicolas Berger; Wilma Nusselder; Rana Charafeddine; Carol Jagger; Emmanuelle Cambois; Jean-Marie Robine; Stefaan Demarest
Journal:  BMC Public Health       Date:  2014-07-15       Impact factor: 3.295

4.  Testing Differential Associations Between Smoking and Chronic Disease Across Socioeconomic Groups: Pooled Data From 15 Prospective Studies.

Authors:  Carlos de Mestral; Steven Bell; Emmanuel Stamatakis; G David Batty
Journal:  Epidemiology       Date:  2019-01       Impact factor: 4.822

5.  Potential impact of reduced tobacco use on life and health expectancies in Belgium.

Authors:  Martina Otavova; Herman Van Oyen; Renata T C Yokota; Rana Charafeddine; Luk Joossens; Geert Molenberghs; Wilma J Nusselder; Hendriek C Boshuizen; Brecht Devleesschauwer
Journal:  Int J Public Health       Date:  2019-11-28       Impact factor: 3.380

6.  Social inequalities in tobacco-attributable mortality in Spain. The intersection between age, sex and educational level.

Authors:  Mariana Haeberer; Inmaculada León-Gómez; Beatriz Pérez-Gómez; María Téllez-Plaza; Mónica Pérez-Ríos; Anna Schiaffino; Fernando Rodríguez-Artalejo; Iñaki Galán
Journal:  PLoS One       Date:  2020-09-28       Impact factor: 3.240

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.