持续贫困、农村地区和种族隔离是影响低收入和无保险人群结直肠癌筛查的因素。

Wen Hsin Chen, Rosaleen D Bloom, Arica Brandford, Gang Han, Scott Horel, Marivel Sanchez, Jason Mcknight, Jane L Bolin
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引用次数: 0

摘要

目的:本研究旨在探讨地理因素(包括乡村性、持续贫困县、种族居住隔离)与德克萨斯州低收入无保险和保险不足人群结直肠癌筛查依从性之间的相关性。方法:利用2011 - 2022年A&M德州癌症筛查项目收集的回顾性调查数据,采用线性混合效应模型。这些模型在推荐的时间框架内检查CRC筛查依从性作为主要结果,以地理县级特征(乡村性、种族居住隔离和持续贫困)作为主要预测因素,控制其他社会人口变量。研究结果:线性混合效应分析显示,居住在种族居住隔离程度高的县(OR = 0.54, 95% CI = 0.36-0.79)或持续贫困的县(OR = 0.65, 95% CI = 0.45-0.92)的个体与居住在种族居住隔离程度低和非持续贫困的县的个体相比,在推荐的时间框架内接受任何类型CRC筛查的可能性更低。相反,与城市居民相比,农村居民更有可能报告最新的CRC筛查(OR = 1.8, 95% CI = 1.27-2.55)。结论:研究结果强调,需要针对居住在农村和持续贫困县等弱势地区的低收入、无保险人群,以及那些以高度种族居住隔离为特征的地区,制定更有针对性的CRC筛查促进策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Persistent Poverty, Rural Location, and Racial Segregation Are Factors in Colorectal Cancer Screening in Low-Income and Uninsured Populations.

Purpose: This study aimed to investigate the correlation between geographical factors, including rurality, persistent poverty counties, racial residential segregation, and adherence to colorectal cancer (CRC) screening among low-income uninsured and underinsured individuals in Texas.

Methods: Utilizing retrospective survey data collected by the A&M Texas Cancer Screening program from 2011 to 2022, linear mixed-effects models were employed. The models examined CRC screening adherence within the recommended time frame as the primary outcome, with geographical county-level characteristics (rurality, racial residential segregation, and persistent poverty) as the main predictors, controlling for other sociodemographic variables.

Findings: The linear mixed-effects analysis revealed that individuals residing in counties characterized by high racial residential segregation (OR = 0.54, 95% CI = 0.36-0.79) or persistent poverty (OR = 0.65, 95% CI = 0.45-0.92) were less likely to self-report having undergone any type of CRC screening within the recommended time frame compared to those in counties with lower racial residential segregation and non-persistent poverty. Conversely, residents of rural counties were more likely to report being up to date with CRC screening compared to their urban counterparts (OR = 1.8, 95% CI = 1.27-2.55).

Conclusions: The findings underscore the need for more targeted CRC screening promotion strategies tailored to low-income, uninsured populations residing in disadvantaged areas such as rural and persistent poverty counties, as well as those characterized by high racial residential segregation.

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