Repository of Research and Investigative Information

Repository of Research and Investigative Information

Larestan University of Medical Sciences

Relationship between urbanization and cancer incidence in Iran using quantile regression

(2016) Relationship between urbanization and cancer incidence in Iran using quantile regression. Asian Pacific Journal of Cancer Prevention. pp. 113-117. ISSN 15137368 (ISSN)

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Abstract

Quantile regression is an efficient method for predicting and estimating the relationship between explanatory variables and percentile points of the response distribution, particularly for extreme percentiles of the distribution. To study the relationship between urbanization and cancer morbidity, we here applied quantile regression. This cross-sectional study was conducted for 9 cancers in 345 cities in 2007 in Iran. Data were obtained from the Ministry of Health and Medical Education and the relationship between urbanization and cancer morbidity was investigated using quantile regression and least square regression. Fitting models were compared using AIC criteria. R (3.0.1) software and the Quantreg package were used for statistical analysis. With the quantile regression model all percentiles for breast, colorectal, prostate, lung and pancreas cancers demonstrated increasing incidence rate with urbanization. The maximum increase for breast cancer was in the 90th percentile (β=0.13, p-value < 0.001), for colorectal cancer was in the 75th percentile (β=0.048, p-value < 0.001), for prostate cancer the 95th percentile (β=0.55, p-value < 0.001), for lung cancer was in 95th percentile (β=0.52, p-value=0.006), for pancreas cancer was in 10th percentile (β=0.011, p-value < 0.001). For gastric, esophageal and skin cancers, with increasing urbanization, the incidence rate was decreased. The maximum decrease for gastric cancer was in the 90th percentile(β=0.003, p-value < 0.001), for esophageal cancer the 95th (β=0.04, p-value=0.4) and for skin cancer also the 95th (β=0.145, p-value=0.071). The AIC showed that for upper percentiles, the fitting of quantile regression was better than least square regression. According to the results of this study, the significant impact of urbanization on cancer morbidity requirs more effort and planning by policymakers and administrators in order to reduce risk factors such as pollution in urban areas and ensure proper nutrition recommendations are made. © 2016, Asian Pacific Journal of Cancer Prevention.

Item Type: Article
Keywords: Cancer incidence Iran Quantile regression Urbanization cross-sectional study female human incidence male Neoplasms prognosis software theoretical model Cross-Sectional Studies Humans Models, Theoretical
Divisions: Education Vice-Chancellor Department > Faculty of Health > Department of Environmental Health Engineering
Page Range: pp. 113-117
Journal or Publication Title: Asian Pacific Journal of Cancer Prevention
Journal Index: Scopus
Volume: 17
Identification Number: https://doi.org/10.7314/APJCP.2016.17.S3.113
ISSN: 15137368 (ISSN)
Depositing User: خانم موهبت شیوخی
URI: http://eprints.larums.ac.ir/id/eprint/162

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