Literature DB >> 10405021

The health impact of smoking in manual and non-manual social class men and women: a test of the Blaxter hypothesis.

P J Marang-van de Mheen1, G D Smith, C L Hart.   

Abstract

Blaxter has hypothesized that harmful behavioral habits like smoking have a greater impact on health in the non-manual than in the manual social classes, possibly because other adverse exposures have a more important role in the manual social classes. However, the outcome measure used was a composite measure of physiological indices of morbidity and the relevance of this to other health problems is uncertain. We have therefore investigated the effect of smoking on mortality, to test whether the risk of death associated with smoking differs between manual and non-manual social classes. Data on 6831 men and 7993 women, aged 45-64 when screened in the Renfrew and Paisley study, a large prospective observational study in the West of Scotland, have been analyzed. All cause mortality rate ratios for smokers compared with never smokers have been calculated within manual and non-manual social classes. Although the age adjusted rate ratios are slightly higher among the non-manual men and women (2.19 [1.83-2.61] versus 1.92 [1.71-2.17] for non-manual and manual men respectively, and 1.75 [1.54-1.99] versus 1.65 [1.50-1.82] for non-manual and manual women), this difference between social classes is not statistically significant (p-values for test of difference 0.26 and 0.47 for men and women respectively). When additionally adjusted for other risk factors, cardiorespiratory symptoms and deprivation, this picture remained the same (p-values for test of difference are 0.41 and 0.50 for men and women respectively). Similar results were found when the cohort was divided by deprivation categories rather than social classes or when smoking related mortality rather than mortality from all causes was used as the outcome measure. We therefore conclude that the health impact of smoking is similar in each socio-economic group. The relative health improvement consequent on smoking cessation is thus similar in different socio-economic groups.

Entities:  

Mesh:

Year:  1999        PMID: 10405021     DOI: 10.1016/s0277-9536(99)00071-4

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


  9 in total

1.  Association between course of study at university and cause-specific mortality.

Authors:  Peter McCarron; Mona Okasha; James McEwen; George Davey Smith
Journal:  J R Soc Med       Date:  2003-08       Impact factor: 5.344

Review 2.  Communicating risks at the population level: application of population impact numbers.

Authors:  Richard F Heller; Iain Buchan; Richard Edwards; Georgios Lyratzopoulos; Patrick McElduff; Selwyn St Leger
Journal:  BMJ       Date:  2003-11-15

3.  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

4.  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

5.  Life-course socioeconomic and behavioral influences on cardiovascular disease mortality: the collaborative study.

Authors:  George Davey Smith; Carole Hart
Journal:  Am J Public Health       Date:  2002-08       Impact factor: 9.308

6.  Socio-economic status, visual impairment and the mediating role of lifestyles in developed rural areas of China.

Authors:  Xiaochang Yan; Lu Chen; Hua Yan
Journal:  PLoS One       Date:  2019-04-11       Impact factor: 3.240

7.  Effect of tobacco smoking on survival of men and women by social position: a 28 year cohort study.

Authors:  Laurence Gruer; Carole L Hart; David S Gordon; Graham C M Watt
Journal:  BMJ       Date:  2009-02-17

8.  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

9.  Comparison of mortality hazard ratios associated with health behaviours in Canada and the United States: a population-based linked health survey study.

Authors:  Stacey Fisher; Carol Bennett; Deirdre Hennessy; Philippe Finès; Mahsa Jessri; Anan Bader Eddeen; John Frank; Tony Robertson; Monica Taljaard; Laura C Rosella; Claudia Sanmartin; Prabhat Jha; Alastair Leyland; Douglas G Manuel
Journal:  BMC Public Health       Date:  2022-03-10       Impact factor: 3.295

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.