Multivariate disease mapping of seven prevalent cancers in Iran using a shared component model

Type Journal Article - Asian Pacific Journal of Cancer Prevention
Title Multivariate disease mapping of seven prevalent cancers in Iran using a shared component model
Author(s)
Volume 12
Issue 9
Publication (Day/Month/Year) 2011
Page numbers 2353-2358
URL https://www.researchgate.net/profile/Volker_Schmid2/publication/221797465_Multivariate_disease_mappi​ng_of_seven_prevalent_cancers_in_Iran_using_a_shared_component_model/links/0deec52d23a6516d6a000000.​pdf
Abstract
Background: The aim of this study was to model the geographical variation in incidence and risk
factors of seven prevalent cancers in Iran. Methods: The data for cancers of esophagus, stomach, bladder,
colorectal, lung, prostate, and female breast along with their risk factors in all 30 provinces of Iran for the
year 2007 were included into study. Smoking, overweight, inadequate consumption of fruits and vegetables,
socioeconomic status and low physical activity were studied as risk factors. Standardized incidence ratios
were estimated using full Bayesian model. In addition, the shared component model was used to explore the
spatial pattern of the cancers and to estimate the relative importance of their corresponding risk factors.
Results: Fars and the Northwestern provinces were observed as high risk areas and Hormozgan (a Persian
Gulf coastal province), Sistan and Baluchestan, South Khorasan, and Kerman provinces located in Southeast
were areas of low risk for most cancers. For all five risk factors, larger effects on incidence of the relevant
cancers were found in the Northern provinces compared to other areas. Smoking, overweight, inadequate
consumption of fruit and vegetable, socioeconomic status, and low physical activity were found to have more
effects on incidence of stomach, breast, esophagus, and breast cancers, respectively. Conclusions: Most of
the high risk areas for seven cancers were in accordance with the results for spatial patterns of related risk
factors and their relative weights on relevant cancers. The multivariate shared component model of the
seven cancers achieves a considerable improvement in terms of Deviance Information Criterion over the
individual modeling of diseases.

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