Cossman Jeralynn Sittig, Cossman Ronald E, James Wesley L, Campbell Carol R, Blanchard Troy C, Cosby Arthur G
Department of Sociology, Anthropology and Social Work, Social Science Research Center, Mississippi State University, Mississippi State, MS 39762, USA.
Am J Public Health. 2007 Dec;97(12):2148-50. doi: 10.2105/AJPH.2006.093112. Epub 2007 May 30.
We explored how place shapes mortality by examining 35 consecutive years of US mortality data. Mapping age-adjusted county mortality rates showed both persistent temporal and spatial clustering of high and low mortality rates. Counties with high mortality rates and counties with low mortality rates both experienced younger population out-migration, had economic decline, and were predominantly rural. These mortality patterns have important implications for proper research model specification and for health resource allocation policies.
我们通过研究连续35年的美国死亡率数据,探讨了地域如何影响死亡率。绘制年龄调整后的县死亡率地图显示,高死亡率和低死亡率在时间和空间上都存在持续的聚集现象。高死亡率县和低死亡率县都经历了年轻人口外流、经济衰退,且主要为农村地区。这些死亡率模式对于正确的研究模型设定和卫生资源分配政策具有重要意义。