Heitgerd Janet L, Lee Virginia C
Agency for Toxic Substances and Disease Registry, US Department of Health and Human Services, 1600 Clifton Road, MS E-60, Atlanta, GA 30333, USA.
Soc Sci Med. 2003 Sep;57(6):1117-26. doi: 10.1016/s0277-9536(02)00489-6.
A geodemographic database can assess characteristics of communities by providing (1) annual demographic estimates for these small areas, and (2) statistically based models that integrated consumer behavior and lifestyle data. When applied to neighborhoods proximate to National Priorities List (NPL) sites, information from a geodemographic database can inform environmental health risk assessments and aid in targeting health education activities. This study utilized such a database with 1999 census block group population estimates and neighborhood descriptors in the USA. We examined patterns of neighborhood type based on NPL site classification by activity and waste type (e.g., manufacturing, mining). Overall, block groups described as "Military Quarters" are at highest risk of being located near an NPL site. Other, distinct, neighborhood differences are described.
(1)这些小区域的年度人口统计估计数,以及(2)整合了消费者行为和生活方式数据的基于统计的模型。当应用于靠近国家优先事项清单(NPL)场地的社区时,地理人口数据库中的信息可以为环境卫生风险评估提供参考,并有助于确定健康教育活动的目标。本研究使用了这样一个数据库,其中包含美国1999年人口普查街区组的人口估计数和社区描述符。我们根据NPL场地按活动和废物类型(如制造业、采矿业)的分类,研究了社区类型模式。总体而言,被描述为“军事驻地”的街区组位于NPL场地附近的风险最高。还描述了其他明显的社区差异。