A spatial database of colorectal cancer patients and potential nutritional risk factors in an urban area in the Middle East

Colorectal cancer (CRC) is the third most common cancer across the world that multiple risk factors together contribute to CRC development. There is a limited research report on impact of nutritional risk factors and spatial variation of CRC risk. Geographical information system (GIS) can help resea...

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Bibliographic Details
Published in:BMC research notes 2020-10, Vol.13 (1), p.466-3, Article 466
Main Authors: Firouraghi, Neda, Bagheri, Nasser, Kiani, Fatemeh, Goshayeshi, Ladan, Ghayour-Mobarhan, Majid, Kimiafar, Khalil, Eslami, Saeid, Kiani, Behzad
Format: Article
Language:English
Subjects:
Body mass index
Cancer
Colonic Neoplasms
Colorectal cancer
Colorectal carcinoma
Colorectal Neoplasms - epidemiology
Data Note
Dietary fiber
Distribution
Food habits
Geographic information systems
Geographical information systems
Health aspects
Humans
Investigations
Iran - epidemiology
Meat
Middle East - epidemiology
Red meat
Risk Factors
Spatial analysis
Spatial analysis (Statistics)
Spatial variations
Technology application
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Summary:Colorectal cancer (CRC) is the third most common cancer across the world that multiple risk factors together contribute to CRC development. There is a limited research report on impact of nutritional risk factors and spatial variation of CRC risk. Geographical information system (GIS) can help researchers and policy makers to link the CRC incidence data with environmental risk factor and further spatial analysis generates new knowledge on spatial variation of CRC risk and explore the potential clusters in the pattern of incidence. This spatial analysis enables policymakers to develop tailored interventions. This study aims to release the datasets, which we have used to conduct a spatial analysis of CRC patients in the city of Mashhad, Iran between 2016 and 2017. These data include five data files. The file CRCcases_Mashhad contains the geographical locations of 695 CRC cancer patients diagnosed between March 2016 and March 2017 in the city of Mashhad. The Mashhad_Neighborhoods file is the digital map of neighborhoods division of the city and their population by age groups. Furthermore, these files include contributor risk factors including average of daily red meat consumption, average of daily fiber intake, and average of body mass index for every of 142 neighborhoods of the city.
ISSN:1756-0500
1756-0500
DOI:10.1186/s13104-020-05310-z