Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, California; UCSF Helen Diller Family Comprehensive Cancer Center, San Francisco, California.
Department of Epidemiology & Biostatistics, University of California, San Francisco (UCSF), San Francisco, California; Greater Bay Area Cancer Registry, San Francisco, California.
Urology. 2022 May;163:138-147. doi: 10.1016/j.urology.2021.05.085. Epub 2021 Jul 22.
To examine survival among men with prostate cancer according to neighborhood archetypes. As an advancement beyond measures of neighborhood socioeconomic status (nSES) or specific measures of the neighborhood environment, archetypes consider interactions among many social and built environment attributes.
Neighborhood archetypes for California census tracts in the year 2000 were previously developed through latent class analysis of 39 measures of social and built environment attributes. We assessed associations between archetypes and overall and prostate cancer-specific survival in this population-based study using geocoded cancer registry data for prostate cancer patients diagnosed 1996-2005 in California, followed through 2017 (n = 185,613). We used Cox proportional hazard models stratified by race/ethnicity and adjusted for age at diagnosis, year of diagnosis, tumor factors, treatment, marital status and cluster effect by census tract. Additional analyses examined associations between race/ethnicity and survival, while accounting for neighborhood archetypes.
We observed disparities in overall and prostate cancer-specific risk of death by neighborhood archetypes. Classes with the highest risk of death were defined by lower nSES, but also other domains such as rural/urban status, racial/ethnic composition or age of residents, commuting and traffic patterns, residential mobility, and food environment. Associations between archetypes and survival varied by race/ethnicity.
We observe interactions among several domains of neighborhood social and built environment attributes as demonstrated by the associations between neighborhood archetypes and prostate cancer survival. These results highlight opportunities for multilevel neighborhood interventions to reduce neighborhood disparities in prostate cancer survival.
根据邻里原型研究前列腺癌男性的生存情况。作为对邻里社会经济地位(nSES)衡量标准或邻里环境特定衡量标准的一种改进,原型考虑了许多社会和建筑环境属性之间的相互作用。
通过对 39 项社会和建筑环境属性的潜在类别分析,先前为加利福尼亚普查区制定了邻里原型。我们使用加利福尼亚州癌症登记处的数据评估了在 1996 年至 2005 年间诊断为前列腺癌的患者中(n=185613),基于地理编码的癌症登记数据,通过 2017 年(n=185613)评估了原型与整体和前列腺癌特异性生存之间的关联。我们使用 Cox 比例风险模型,按种族/民族分层,并根据诊断时的年龄、诊断年份、肿瘤因素、治疗、婚姻状况和按普查区聚类效应进行调整。额外的分析检验了在考虑邻里原型的情况下,种族/民族与生存之间的关联。
我们观察到不同邻里原型的总体和前列腺癌特异性死亡风险存在差异。死亡风险最高的类别定义为 nSES 较低,但也包括其他领域,如城乡地位、种族/民族构成或居民年龄、通勤和交通模式、居民流动性和食品环境。原型与生存之间的关联因种族/民族而异。
我们观察到邻里社会和建筑环境属性的几个领域之间的相互作用,这反映在邻里原型与前列腺癌生存之间的关联上。这些结果突出了多层次邻里干预的机会,以减少前列腺癌生存方面的邻里差异。