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 risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis
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DOI：
10.4081/gh.2019.793
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发表时间：
2019-01-01
影响因子：
1.7
通讯作者：
Kiani, Behzad
中科院分区：
文献类型：
--
作者：
Goshayeshi, Ladan;Pourahmadi, Ali;Kiani, Behzad
结直肠癌（CRC）是世界上女性中第二常见的癌症，男性中第三常见的恶性肿瘤。目前还没有确定单一的风险因素，但有许多相互关联的因素共同导致这种疾病。这项回顾性的横断面研究旨在确定影响其地理分布的潜在空间因素。来自伊朗东北部呼罗珊-拉扎维省的1,089名CRC患者的数据来自国家CRC登记处。采用局部Moran's I统计来识别结直肠癌发生的聚集区，并根据饮食、体重指数（BMI）和>= 50岁人群比例等一组变量计算普通最小二乘回归来预测该疾病的发病率。在马什哈德市发现了一些与该省地理有关的差异，以及一些与社区有关的CRC发生的异同。存在显著回归方程(F (4137)=38.304， P= 50岁年龄组=+0.000744。除了食用红肉外，所有的关联在统计上都是显著的。研究结果阐明了CRC风险较高地区潜在的潜在危险因素，以及CRC风险因素如何在CRC地域差异中发挥作用。需要进一步的研究来解释观察到的模式。我们的结论是，人们应该在日常饮食中加入更多的纤维，降低他们的体重指数，以降低患结直肠癌的风险。
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= 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.