US urban-rural disparities in breast cancer-screening practices at the national, regional, and state level, 2012-2016
US urban-rural disparities in breast cancer-screening practices at the national, regional, and state level, 2012-2016
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DOI：
10.1007/s10552-019-01217-8
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发表时间：
2019-10-01
影响因子：
2.3
通讯作者：
Tran，Phoebe
中科院分区：
文献类型：
--
作者：
Tran，Lam;Tran，Phoebe
目的以前的研究表明，美国农村妇女可能比城市妇女更不可能有一个最近的乳房X光检查，无论是在范围或粒度有限。本研究探讨了美国乳腺癌筛查实践中的城乡差异在国家，地区和国家levels.MethodsWe使用的数据从2012年，2014年和2016年的行为风险因素监测系统调查。Logistic模型被用来检查生活在城市/农村地区的影响，在三个地理水平的乳房X线检查筛查，同时调整协变量。然后，我们计算平均调整预测（AAP）和平均边际效应（艾姆斯），以隔离乳腺癌筛查和城市/农村factor.ResultsAt所有地理水平之间的关联，乳腺癌筛查的AAP是相似的城市，郊区和农村居民。关于“曾经有一个乳房X光检查”和“有一个最近的乳房X光检查，”城市妇女有小，但显着更高的调整概率（AAP：94.6%，81.1%）相比，农村妇女（AAP：93.5%，80.2%）。因此，有必要继续在这些地区开展筛查活动，以减少乳腺癌死亡人数。
PurposePrevious studies suggesting that rural US women may be less likely to have a recent mammogram than urban women are limited in either scope or granularity. This study explored urban–rural disparities in US breast cancer-screening practices at the national, regional, and state levels.MethodsWe used data from the 2012, 2014, and 2016 Behavioral Risk Factor Surveillance Systems surveys. Logistic models were utilized to examine the impact of living in an urban/rural area on mammogram screening at three geographic levels while adjusting for covariates. We then calculated average adjusted predictions (AAPs) and average marginal effects (AMEs) to isolate the association between breast cancer screening and the urban/rural factor.ResultsAt all geographic levels, AAPs of breast cancer screening were similar among urban, suburban, and rural residents. Regarding “ever having a mammogram” and “having a recent mammogram,” urban women had small but significantly higher adjusted probabilities (AAP: 94.6%, 81.1%) compared to rural women (AAP: 93.5%, 80.2%).ConclusionsWhile urban–rural differences in breast cancer screening are small, they can translate into tens of thousands of rural women not receiving mammograms. Hence, there is a need to continue screening initiatives in these areas to reduce the number of breast cancer deaths.