GEOGRAPHICALLY-WEIGHTED REGRESSION ANALYSIS OF PERCENTAGE OF LATE-STAGE PROSTATE CANCER DIAGNOSIS IN FLORIDA.

GEOGRAPHICALLY-WEIGHTED REGRESSION ANALYSIS OF PERCENTAGE OF LATE-STAGE PROSTATE CANCER DIAGNOSIS IN FLORIDA.
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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
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发表时间:
2015-08-01
期刊:
Applied geography (Sevenoaks, England)
影响因子:
--
通讯作者:
Huang Y
Huang Y
中科院分区:
其他
文献类型:
--
作者:
Goovaerts P;Xiao H;Adunlin G;Ali A;Tan F;Gwede CK;Huang Y

文献摘要

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本研究评估了2001-2007年期间佛罗里达地区的空间背景和推定因素对晚期前列腺癌诊断比例的局部影响。在空间和地理加权回归(GWR)进行逻辑回归,在一个5公里的间隔网格覆盖在佛罗里达的节点,并使用所有的癌症病例半径为125公里的每个节点。与晚期前列腺癌高比例显著相关的变量包括合并症、吸烟、黑人和居住在有农舍的人口普查区。拥有私人或公共保险,在营利性机构结婚或诊断,以及生活在家庭收入高的人口普查区,大大降低了这种可能性。地理加权回归允许识别当地优势比与使用空间回归估计的比率(州一级)显著不同的地区。例如,在塔拉哈西和彭萨科拉,协变量的当地比值比显著小于州水平比值比,而在棕榈海滩,它们显著大于州水平比值比。这就强调了地方性策略和癌症控制干预措施的必要性,以减少晚期诊断出的前列腺癌的比例,并最终消除健康差距。
This study assessed spatial context and the local impacts of putative factors on the proportion of prostate cancer diagnosed at late-stages in Florida during the period 2001–2007. A logistic regression was performed aspatially and by geographically-weighted regression (GWR) at the nodes of a 5 km spacing grid overlaid over Florida and using all the cancer cases within a radius of 125 km of each node. Variables associated significantly with high percentages of late-stage prostate cancer included having comorbidities, smoking, being Black and living in census tracts with farmhouses. Having private or public insurance, being married or diagnosed in a for-profit facility, as well as living in census tracts with high household income reduced significantly this likelihood. Geographically-weighted regression allowed the identification of areas where the local odds ratio is significantly different from the ratio estimated using aspatial regression (State-level). For example, the local odds ratios for the comorbidity covariates were significantly smaller than the State-level odds ratio in Tallahassee and Pensacola, while they were significantly larger in Palm Beach. This emphasizes the need for local strategies and cancer control interventions to reduce the percentage of prostate cancer diagnosed at late-stages and ultimately eliminate health disparities.