Literature DB >> 23493371

Direct estimation of death attributable to smoking in Switzerland based on record linkage of routine and observational data.

Judith Maag1, Julia Braun, Matthias Bopp, David Faeh.   

Abstract

INTRODUCTION: In Switzerland, estimations of smoking-attributable deaths were based on age- and sex-adjusted hazard ratios (HRs) from foreign cohorts, precluding consideration of country-specific properties and adjustment for confounding. In order to overcome this, we analyzed recently available individual data from Switzerland.
METHODS: We included 17,861 individuals aged ≥16 years who participated between 1977-1993 in health studies and were anonymously linked with the Swiss National Cohort. Adjusted Cox regression was used to calculate mortality HRs. Smoking status at baseline was categorized into never-smokers, former smokers, and current light or heavy smokers (<20 or ≥20 cigarettes/day). As covariates, we selected education, marital status, lifestyle, alcohol consumption, and body mass index. We differentiated between cardiovascular disease (CVD), cancer, and noncancer-non-CVD deaths. Smoking-attributable deaths were estimated with a HR-based approach and with age-specific prevalence rates and mortality estimates from 2007.
RESULTS: Smoking men and women not only had an increased risk for all-cause (HR and 95% confidence interval vs. never-smokers: 1.71 [1.53-1.90]; 1.54 [1.36-1.75]), CVD (1.72 [1.43-2.06]; 1.50 [1.19-1.90]) and cancer (1.87 [1.56-2.25]; 1.58 [1.30-1.93]), but also for noncancer-non-CVD death (1.57 [1.29-1.89]; 1.58 [1.30-1.93]). Former smoking men had an increased risk for all-cause (1.16 [1.03-1.31]) and cancer death (1.35 [1.10-1.65]). Multivariate adjustment only slightly modified the association between smoking and mortality. Overall, 7,153 deaths per year could be attributed to smoking.
CONCLUSIONS: Smoking is an important avoidable health burden in Switzerland, and its consequences may persist for decades after quitting. This stresses the need for putting more efforts in strategies aimed at preventing the onset of smoking.

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Year:  2013        PMID: 23493371     DOI: 10.1093/ntr/ntt023

Source DB:  PubMed          Journal:  Nicotine Tob Res        ISSN: 1462-2203            Impact factor:   4.244


  3 in total

1.  Heavy Smoking Is More Strongly Associated with General Unhealthy Lifestyle than Obesity and Underweight.

Authors:  Tina Lohse; Sabine Rohrmann; Matthias Bopp; David Faeh
Journal:  PLoS One       Date:  2016-02-24       Impact factor: 3.240

2.  Smoking Cessation Carries a Short-Term Rising Risk for Newly Diagnosed Diabetes Mellitus Independently of Weight Gain: A 6-Year Retrospective Cohort Study.

Authors:  Yi-Ting Sung; Cheng-Ting Hsiao; I-Jen Chang; Yu-Chih Lin; Chen-Yu Yueh
Journal:  J Diabetes Res       Date:  2016-07-12       Impact factor: 4.011

3.  Mortality risk associated with underweight: a census-linked cohort of 31,578 individuals with up to 32 years of follow-up.

Authors:  Lucienne Roh; Julia Braun; Arnaud Chiolero; Matthias Bopp; Sabine Rohrmann; David Faeh
Journal:  BMC Public Health       Date:  2014-04-16       Impact factor: 3.295

  3 in total

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