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萨斯喀彻温省农村和非农村居民结直肠癌发病率的纵向变化。

Longitudinal Changes in Prevalence of Colorectal Cancer in Farm and Non-Farm Residents of Saskatchewan.

机构信息

Department of Biostatistics (Mr Abubakari, Dr Pahwa); Analytics, Digital Health, Saskatchewan Health Authority (Mr Abubakari); Department of Oncology, Saskatchewan Cancer Agency (Dr Ahmed); Department of Mathematics and Statistics (Dr Khan); Canadian Centre for Health and Safety in Agriculture (Dr Karunanayake, Dr Dosman, Dr Pahwa), University of Saskatchewan, Saskatoon, SK, Canada.

出版信息

J Occup Environ Med. 2020 Sep;62(9):e485-e497. doi: 10.1097/JOM.0000000000001945.

DOI:10.1097/JOM.0000000000001945
PMID:32890219
Abstract

OBJECTIVE

To determine predictors associated with longitudinal changes in colorectal cancer (CRC) prevalence in farm and non-farm rural residents in Saskatchewan, Canada.

METHODS

Data from the Saskatchewan Rural Health Study were collected from 8261 individuals nested within 4624 households at baseline survey in 2010 and 4867 individuals (2797 households) at follow-up survey in 2014. The study sample consists of 5599 individuals (baseline) and 3933 at (follow-up) (more than or equal to 50 years).

RESULTS

The prevalence of CRC increased over time among rural farm (baseline: 0.8%; follow-up: 1.3%, P < 0.05) and non-farm (baseline: 1.4%; follow-up: 2.0%, P > 0.05) residents. Longitudinal predictors of CRC prevalence were: quadrant, location of home, mother ever had cancer, age, body mass index (BMI), sex, radiation, natural gas.

CONCLUSIONS

Longitudinal changes in prevalence of CRC among farm and non-farm residents appear to depend on a complex combination of individual and contextual factors.

摘要

目的

确定与加拿大萨斯喀彻温省农村居民中结直肠癌(CRC)患病率的纵向变化相关的预测因素。

方法

萨斯喀彻温省农村健康研究的数据来自于 2010 年基线调查中的 8261 名个体,这些个体嵌套在 4624 户家庭中,以及 2014 年随访调查中的 4867 名个体(2797 户家庭)。研究样本由 5599 名个体(基线)和 3933 名个体(随访)(大于或等于 50 岁)组成。

结果

农村农场(基线:0.8%;随访:1.3%,P<0.05)和非农场(基线:1.4%;随访:2.0%,P>0.05)居民中 CRC 的患病率随时间推移而增加。CRC 患病率的纵向预测因素包括:象限、家庭所在地、母亲是否曾患有癌症、年龄、体重指数(BMI)、性别、辐射、天然气。

结论

农场和非农场居民中 CRC 患病率的纵向变化似乎取决于个人和环境因素的复杂组合。

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