Using lung cancer mortality to indirectly approximate smoking patterns in space. (July 2015)

• Record Type: Journal Article
• Authors: Jürgens, Verena; Ess, Silvia; Schwenkglenks, Matthias; Cerny, Thomas; Vounatsou, Penelope
• Is Part Of: Spatial and spatio-temporal epidemiology. Volume 14/15(2015)
• Page Start: 23
• Page End: 31
• Publication Date: 2015-07
• Subjects: Bayesian inference -- Smoking prevalence -- Lung cancer mortality -- Switzerland; Epidemiology -- Statistical methods -- Periodicals; Epidemiology -- Periodicals; 614.4072
• DOI: 10.1016/j.sste.2015.06.003
• Languages: English
• ISSNs: 1877-5845

Abstract

Highlights: We provide countrywide estimates of smoking behaviour. We estimate the burden of tobacco-use on lung cancer mortality in Switzerland. We develop a proxy for smoking behaviour based on lung cancer mortality data. Estimates of gender-specific frequency of smokers indicate regional differences. Abstract: Smoking is the leading cause of lung cancer. Non-smoking factors have been associated with the disease. Existing Swiss survey data only capture the country partially and temporal coverage does not allow for a time lag between exposure to tobacco and lung cancer outbreak. Knowledge about the distribution of tobacco-use is essential to estimate its contribution to disease burden. Bayesian regression models were applied to estimate spatial smoking patterns. Data were provided from the Swiss Health Survey (14 521 participants). Regression models with spatial random effects (SREs) were employed to obtain smoking proxies based on mortality rates and SREs adjusted for environmental exposures. Population attributable fractions were estimated to assess the burden of tobacco-use on lung cancer mortality. Correlation between observed smoking prevalence with smoking proxies was moderate and stronger in females. In the absence of sufficient survey data, smooth unadjusted mortality rates can be used to assess smoking patterns in Switzerland.