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

被引:26
|
作者
DeRouen, Mindy C. [1 ,2 ,3 ,4 ]
Schupp, Clayton W. [1 ]
Yang, Juan [1 ,2 ,3 ]
Koo, Jocelyn [1 ]
Hertz, Andrew [1 ]
Shariff-Marco, Salma [1 ,2 ,3 ,4 ]
Cockburn, Myles [5 ]
Nelson, David O. [1 ]
Ingles, Sue A. [5 ]
Cheng, Iona [1 ,2 ,3 ,4 ]
John, Esther M. [1 ,6 ,7 ]
Gomez, Scarlett L. [1 ,2 ,3 ,4 ]
机构
[1] Canc Prevent Inst Calif, Fremont, CA 94538 USA
[2] Univ Calif San Francisco, Dept Epidemiol & Biostat, Mission Hall,550 16th St,2nd Floor,UCSF Box 0560, San Francisco, CA 94143 USA
[3] Greater Bay Area Canc Registry, Fremont, CA 94538 USA
[4] UCSF Helen Diller Family Comprehens Canc Ctr, San Francisco, CA 94158 USA
[5] Univ Southern Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA USA
[6] Stanford Univ, Sch Med, Stanford Canc Inst, Stanford, CA 94305 USA
[7] Stanford Univ, Sch Med, Dept Hlth Res Policy Epidemiol, Stanford, CA 94305 USA
关键词
Prostate cancer risk; Neighborhood socioeconomic status; Education; Race; ethnicity; Disparities; Built environment; CENTERED MEDICAL HOME; BREAST-CANCER; MULTILEVEL ANALYSIS; ETHNIC-DIFFERENCES; PHYSICAL-ACTIVITY; BODY-SIZE; SURVIVAL; CALIFORNIA; ASSOCIATION; DENSITY;
D O I
10.1007/s10552-018-1071-7
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
PurposeThe 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.MethodsWe 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.ResultsWe 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.ConclusionsThese 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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页码:951 / 966
页数:16
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