Abstract

Background: According to the last report of Iran cancer registry, stomach, colorectal, and bladder cancers are the most prevalent cancers. The present study focused on separating the latent risk surface into shared and disease-specific components. Methods: In this study, data consisting of stomach, colorectal, and bladder cancers in 30 provinces of Iran during 2004–2009 are considered. These data are analyzed by polytomous logit model. The incidence of stomach cancer acts as the reference category (the surrogate for smoking). Then, the log odds are decomposed into shared and specific structured spatial and unstructured spatial components. These latent components help to detect spatial patterns of shared and disease-specific risk factors. Results: Central, Southern, Eastern, and Southwestern provinces are supposed as high-risk regions for shared risk factor for colorectal and bladder cancers. This shared risk factor is slightly associated more with bladder than with colorectal cancer. Northern, northwestern, and central regions and also three borderline provinces in southwestern are high-risk regions for colorectal cancer. Central, eastern, southern, and western strip of the country except Ilam are found as the high-risk regions of bladder cancer. Conclusions: After considering known shared risk factor of the three cancers, it turns out that colorectal and bladder cancers have unknown shared risk factor. The significant difference in their lifestyle and eating habits could be an assumption of the risk factor.

Details

Title
Mapping of stomach, colorectal, and bladder cancers in Iran, 2004–2009: Applying Bayesian polytomous logit model
Author
Nasrazadani, Marzieh 1 ; Maracy, Mohammad 2 ; Dreassi, Emanuela 3 ; Mahaki, Behzad 2 

 Student Research Center, School of Health, Isfahan University of Medical Sciences, Isfahan 
 Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah 
 Department of Statistics G. Parenti, University of Florence, Florence 
Pages
104-104
Publication year
2018
Publication date
Jan/Dec 2018
Publisher
Medknow Publications & Media Pvt. Ltd.
ISSN
20087802
e-ISSN
20088213
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2168066965
Copyright
© 2018. This work is published under https://creativecommons.org/licenses/by-nc-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.