Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis
Colorectal cancer (CRC) is the second most common cancer among females and the third most common malignancy in males in the world. No single risk factor has been identified, but there are many interrelated factors that together cause the disease. This retrospective, cross-sectional study aimed to id...
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| Format: | Article |
| Language: | English |
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PAGEPress Publications
2019-11-01
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| Series: | Geospatial Health |
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| Online Access: | https://www.geospatialhealth.net/index.php/gh/article/view/793 |
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| author | Ladan Goshayeshi Ali Pourahmadi Majid Ghayour-Mobarhan Soheil Hashtarkhani Sajad Karimian Reza Shahhosein Dastjerdi Babak Eghbali Efat Seyfi Behzad Kiani |
| author_facet | Ladan Goshayeshi Ali Pourahmadi Majid Ghayour-Mobarhan Soheil Hashtarkhani Sajad Karimian Reza Shahhosein Dastjerdi Babak Eghbali Efat Seyfi Behzad Kiani |
| author_sort | Ladan Goshayeshi |
| collection | DOAJ |
| description | Colorectal cancer (CRC) is the second most common cancer among females and the third most common malignancy in males in the world. No single risk factor has been identified, but there are many interrelated factors that together cause the disease. This retrospective, cross-sectional study aimed to identify potential spatial factors contributing to its geographical distribution. Data concerning 1,089 individuals with CRC from the Khorasan-Razavi Province in Iran, located in the North-East of the country, were obtained from the national CRC registry. Local Moran’s I statistic was performed to identify clustered areas of CRC occurrence and ordinary least squared regression was calculated to predict frequency of the disease based on a set of variables, such as diet, body mass index (BMI) and the proportion of the population ≥50 years of age. Some dissimilarities related to the geography in the province and also some neighbourhood-related similarities and dissimilarities of CRC occurrence in the city of Mashhad were found. A significant regression equation was found (F (4,137)=38.304, P<.000) with an adjusted R2 of 0.6141. The predicted CRC frequency was -58.3581 with the coefficients for average BMI=+1.594878; fibre intake=-0.610335; consumption of red meat +0.078970; and ≥50-year age group =+0.000744. All associations were statistically significant, except the consumption of red meat one. The study results illuminate the potential underlying risk factors in areas where the CRC risk is comparatively high and how the CRC risk factors may play a role in CRC geographic disparity. Further research is required to explain the patterns observed. We conclude that people should include more fibre in their daily diet and decline their BMI to decrease risk of CRC. |
| first_indexed | 2024-12-11T02:50:19Z |
| format | Article |
| id | doaj.art-a06c2e84e5bd40638abe9cad53ccfdae |
| institution | Directory Open Access Journal |
| issn | 1827-1987 1970-7096 |
| language | English |
| last_indexed | 2024-12-11T02:50:19Z |
| publishDate | 2019-11-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj.art-a06c2e84e5bd40638abe9cad53ccfdae2022-12-22T01:23:20ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962019-11-0114210.4081/gh.2019.793Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysisLadan Goshayeshi0Ali Pourahmadi1Majid Ghayour-Mobarhan2Soheil Hashtarkhani3Sajad Karimian4Reza Shahhosein Dastjerdi5Babak Eghbali6Efat SeyfiBehzad Kiani7Department of Gastroenterology and Hepatology, Faculty of Medicine, Mashhad University of Medical Sciences, MashhadDepartment of Computer Engineering, University of Science and Arts of Yazd, YazdMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, MashhadStudent Research Committee, Mashhad University of Medical Sciences, Mashhad; Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, MashhadStudent Research Committee, Urmia University of Medical Sciences, UrmiaDepartment of Gastroenterology and Hepatology, Faculty of Medicine, Mashhad University of Medical Sciences, MashhadDepartment of Health, Mashhad University of Medical Sciences, MashhadDepartment of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, MashhadColorectal cancer (CRC) is the second most common cancer among females and the third most common malignancy in males in the world. No single risk factor has been identified, but there are many interrelated factors that together cause the disease. This retrospective, cross-sectional study aimed to identify potential spatial factors contributing to its geographical distribution. Data concerning 1,089 individuals with CRC from the Khorasan-Razavi Province in Iran, located in the North-East of the country, were obtained from the national CRC registry. Local Moran’s I statistic was performed to identify clustered areas of CRC occurrence and ordinary least squared regression was calculated to predict frequency of the disease based on a set of variables, such as diet, body mass index (BMI) and the proportion of the population ≥50 years of age. Some dissimilarities related to the geography in the province and also some neighbourhood-related similarities and dissimilarities of CRC occurrence in the city of Mashhad were found. A significant regression equation was found (F (4,137)=38.304, P<.000) with an adjusted R2 of 0.6141. The predicted CRC frequency was -58.3581 with the coefficients for average BMI=+1.594878; fibre intake=-0.610335; consumption of red meat +0.078970; and ≥50-year age group =+0.000744. All associations were statistically significant, except the consumption of red meat one. The study results illuminate the potential underlying risk factors in areas where the CRC risk is comparatively high and how the CRC risk factors may play a role in CRC geographic disparity. Further research is required to explain the patterns observed. We conclude that people should include more fibre in their daily diet and decline their BMI to decrease risk of CRC.https://www.geospatialhealth.net/index.php/gh/article/view/793Colorectal cancerGeographical information systemSpatial analysisCluster analysisRegression analysisOrdinary least square |
| spellingShingle | Ladan Goshayeshi Ali Pourahmadi Majid Ghayour-Mobarhan Soheil Hashtarkhani Sajad Karimian Reza Shahhosein Dastjerdi Babak Eghbali Efat Seyfi Behzad Kiani Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis Geospatial Health Colorectal cancer Geographical information system Spatial analysis Cluster analysis Regression analysis Ordinary least square |
| title | Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis |
| title_full | Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis |
| title_fullStr | Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis |
| title_full_unstemmed | Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis |
| title_short | Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis |
| title_sort | colorectal cancer risk factors in north eastern iran a retrospective cross sectional study based on geographical information systems spatial autocorrelation and regression analysis |
| topic | Colorectal cancer Geographical information system Spatial analysis Cluster analysis Regression analysis Ordinary least square |
| url | https://www.geospatialhealth.net/index.php/gh/article/view/793 |
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