Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.
Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia.
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DOI：
10.1186/s12889-021-11875-6
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发表时间：
2021-10-21
影响因子：
4.5
通讯作者：
Zoellner JM
中科院分区：
文献类型：
--
作者：
Thatcher EJ;Camacho F;Anderson RT;Li L;Cohn WF;DeGuzman PB;Porter KJ;Zoellner JM
结直肠癌（CRC）的差异因国家和人群而异，但通常具有空间特征。美国弗吉尼亚州的这项研究评估了CRC的结果，并确定了CRC差异的人口统计学，社会经济学和医疗保健可及性。分析了2011-2015年县和市级CRC发病率、死亡率和死亡率-发病率比（MIR）的横断面数据，以确定地理位置的聚类（热点和冷点）及其相关性。空间回归分析了预测因素，包括非洲裔美国人（AA）居民的比例，城乡地位，社会经济（SES）指数，CRC筛查率，以及初级保健提供者（PCP）和胃肠病学家的密度。平稳性，评估空间的平等，与地理加权回归。对于发病率，确定了一个CRC热点和两个冷点，包括弗吉尼亚州西南部的一个MIR大热点。在死亡率的空间分布上，未发现聚集现象，农村和AA人群与发病率的关系最为密切。SES指数，农村，PCP密度与死亡率的空间分布。SES指数和农村与MIR相关。当地的系数表明在西南地区的预测变量的关联性较强。农村、低SES和种族分布是CRC发病率、死亡率和MIR的重要预测因素。一个或多个差异因素集中的地区在改善CRC结果方面面临额外的障碍。弗吉尼亚州西南部地区的一大群高MIR需要进一步调查，以提高早期癌症检测和支持生存率。空间分析可以识别高差异人群，并用于为有针对性的癌症控制规划提供信息。
Colorectal cancer (CRC) disparities vary by country and population group, but often have spatial features. This study of the United States state of Virginia assessed CRC outcomes, and identified demographic, socioeconomic and healthcare access contributors to CRC disparities. County- and city-level cross-sectional data for 2011–2015 CRC incidence, mortality, and mortality-incidence ratio (MIR) were analyzed for geographically determined clusters (hotspots and cold spots) and their correlates. Spatial regression examined predictors including proportion of African American (AA) residents, rural-urban status, socioeconomic (SES) index, CRC screening rate, and densities of primary care providers (PCP) and gastroenterologists. Stationarity, which assesses spatial equality, was examined with geographically weighted regression. For incidence, one CRC hotspot and two cold spots were identified, including one large hotspot for MIR in southwest Virginia. In the spatial distribution of mortality, no clusters were found. Rurality and AA population were most associated with incidence. SES index, rurality, and PCP density were associated with spatial distribution of mortality. SES index and rurality were associated with MIR. Local coefficients indicated stronger associations of predictor variables in the southwestern region. Rurality, low SES, and racial distribution were important predictors of CRC incidence, mortality, and MIR. Regions with concentrations of one or more factors of disparities face additional hurdles to improving CRC outcomes. A large cluster of high MIR in southwest Virginia region requires further investigation to improve early cancer detection and support survivorship. Spatial analysis can identify high-disparity populations and be used to inform targeted cancer control programming.
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佛罗里达州晚期前列腺癌诊断百分比的地理加权回归分析。
DOI：
10.1016/j.apgeog.2015.04.018
发表时间：
2015-08-01
期刊：
Applied geography (Sevenoaks, England)
影响因子：
--
作者：
Goovaerts P;Xiao H;Adunlin G;Ali A;Tan F;Gwede CK;Huang Y
通讯作者：
Huang Y
影响因子：
1.7
作者：
Goshayeshi, Ladan;Pourahmadi, Ali;Kiani, Behzad
通讯作者：
Kiani, Behzad
影响因子：
5.5
作者：
Burnett-Hartman, Andrea N.;Mehta, Shivan J.;Doubeni, Chyke A.
通讯作者：
Doubeni, Chyke A.
影响因子：
1.7
作者：
Czaderny, Krzysztof
通讯作者：
Czaderny, Krzysztof
DOI：
10.1111/j.2517-6161.1995.tb02031.x
发表时间：
1995-01-01
影响因子：
5.8
作者：
BENJAMINI, Y;HOCHBERG, Y
通讯作者：
HOCHBERG, Y