Nationwide analysis on the impact of socioeconomic land use factors and incidence of urothelial carcinoma

Publication date: February 2018
Source:Cancer Epidemiology, Volume 52
Author(s): Maximilian P. Brandt, Kilian M. Gust, Jens Mani, Stefan Vallo, Thomas Höfner, Hendrik Borgmann, Igor Tsaur, Christian Thomas, Axel Haferkamp, Eva Herrmann, Georg Bartsch
BackgroundIncidence rates for urothelial carcinoma (UC) have been reported to differ between countries within the European Union (EU). Besides occupational exposure to chemicals, other substances such as tobacco and nitrite in groundwater have been identified as risk factors for UC. We investigated if regional differences in UC incidence rates are associated with agricultural, industrial and residential land use.MethodsNewly diagnosed cases of UC between 2003 and 2010 were included. Information within 364 administrative districts of Germany from 2004 for land use factors were obtained and calculated as a proportion of the total area of the respective administrative district and as a smoothed proportion. Furthermore, information on smoking habits was included in our analysis. Kulldorff spatial clustering was used to detect different clusters. A negative binomial model was used to test the spatial association between UC incidence as a ratio of observed versus expected incidence rates, land use and smoking habits.ResultsWe identified 437,847,834 person years with 171,086 cases of UC. Cluster analysis revealed areas with higher incidence of UC than others (p=0.0002). Multivariate analysis including significant pairwise interactions showed that the environmental factors were independently associated with UC (p<0.001). The RR was 1.066 (95% CI 1.052–1.080), 1.066 (95% CI 1.042–1.089) and 1.067 (95% CI 1.045–1.093) for agricultural, industrial and residential areas, respectively, and 0.996 (95% CI 0.869–0.999) for the proportion of never smokers.ConclusionThis study displays regional differences in incidence of UC in Germany. Additionally, results suggest that socioeconomic factors based on agricultural, industrial and residential land use may be associated with UC incidence rates.



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