Impact of individual and neighborhood factors on socioeconomic disparities in localized and advanced prostate cancer risk.

Impact of individual and neighborhood factors on socioeconomic disparities in localized and advanced prostate cancer risk.
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DOI:
10.1007/s10552-018-1071-7
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发表时间:
2018-10
期刊:
Cancer causes & control : CCC
影响因子:
--
通讯作者:
Gomez SL
Gomez SL
中科院分区:
其他
文献类型:
--
作者:
DeRouen MC;Schupp CW;Yang J;Koo J;Hertz A;Shariff-Marco S;Cockburn M;Nelson DO;Ingles SA;Cheng I;John EM;Gomez SL

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前列腺癌发病率的社会经济差异背后的原因尚不清楚。我们检验了这样一个假设,即个人层面的因素与社区层面的社会和建筑环境因素共同影响前列腺癌的风险,以及特定的社会和建筑环境因素有助于风险的社会经济差异。我们使用多水平数据,结合个人水平数据(包括教育和已知的前列腺癌危险因素)的前列腺癌病例(n = 775)和对照(n = 542),来自旧金山弗朗西斯科湾区前列腺癌研究,一项基于人群的病例对照研究,社区社会经济地位(nSES)的背景水平数据以及来自加州邻里数据系统的特定社会和建筑环境因素。多变量逻辑回归模型分别用于计算局部和晚期前列腺癌的调整优势比,同时控制邻域聚类。我们发现,随着nSES水平的增加,局部和晚期前列腺癌的风险增加两倍以上,随着教育水平的提高,晚期前列腺癌的风险降低。对于局限性疾病,nSES关联在很大程度上是由已知的前列腺癌风险因素和特定的邻里环境因素解释的;人口密度,拥挤和住宅流动性。对于晚期疾病,与教育和nSES的关联不能完全解释任何可用的个人或社区水平的因素。这些结果表明,特定的邻里社会和建筑环境因素在了解局限性前列腺癌的风险的重要性。需要进一步的研究来了解个体和社区水平SES与晚期前列腺癌风险之间关联的基础因素。
The reasons behind socio-economic disparities in prostate cancer incidence remain unclear. We tested the hypothesis that individual-level factors act jointly with neighborhood-level social and built environment factors to influence prostate cancer risk and that specific social and built environment factors contribute to socio-econmic differences in risk. We used multi-level data, combining individual-level data (including education and known prostate cancer risk factors) for prostate cancer cases (n = 775) and controls (n = 542) from the San Francisco Bay Area Prostate Cancer Study, a population-based case–control study, with contextual-level data on neighborhood socio-economic status (nSES) and specific social and built environment factors from the California Neighborhoods Data System. Multivariable logistic regression models were used to compute adjusted odds ratios separately for localized and advanced stage prostate cancer while controlling for neighborhood clustering. We found a more than twofold increased risk of both localized and advanced prostate cancer with increasing levels of nSES, and decreased risk of advanced prostate cancer with increasing levels of education. For localized disease, the nSES association was largely explained by known prostate cancer risk factors and specific neighborhood environment factors; population density, crowding, and residential mobility. For advanced disease, associations with education and nSES were not fully explained by any available individual- or neighborhood-level factors. These results demonstrate the importance of specific neighborhood social and built environment factors in understanding risk of localized prostate cancer. Further research is needed to understand the factors underpinning the associations between individual- and neighborhood-level SES and risk of advanced prostate cancer.
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发表时间: 2011-04-01
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