Wan Neng, Zhan F Benjamin, Cai Zhongliang
Texas State University-San Marcos, Department of Geography, San Marcos, TX 78666, USA.
South Med J. 2011 Aug;104(8):553-9. doi: 10.1097/SMJ.0b013e31821f99ff.
To examine socioeconomic disparities in prostate cancer mortality and to assess the scale effect on the results of the disparity analysis.
Using prostate cancer mortality data (N = 14,036) of Texas from 1996 to 2004, this study examines the variations of socioeconomic disparities in prostate cancer mortality across different geographic scales. Age-adjusted odds ratios are employed to reveal the disparities by single and composite socioeconomic indicators at county, census tract, and block group levels.
The analysis shows that (1) disparities in prostate cancer mortality are significant for most socioeconomic indicators, (2) area-level socioeconomic indicators tend to reveal a less extent of disparity than individual-level indicators do, and (3) socioeconomic disparities in prostate cancer mortality at the census tract and block group levels are similar to each other but are completely different from those at the county level.
The selection of geographic scale and socioeconomic indicators affects the results of socioeconomic disparity analysis in prostate cancer mortality. Most census tract and block group level socioeconomic indicators are appropriate for analyzing disparities in prostate cancer mortality. County level socioeconomic indicators should be avoided if possible.
研究前列腺癌死亡率的社会经济差异,并评估尺度效应(scale effect)对差异分析结果的影响。
本研究利用1996年至2004年得克萨斯州的前列腺癌死亡率数据(N = 14,036),考察了不同地理尺度下前列腺癌死亡率社会经济差异的变化情况。采用年龄调整后的比值比,通过县、普查区和街区组层面的单一及综合社会经济指标来揭示差异。
分析表明:(1)大多数社会经济指标下前列腺癌死亡率差异显著;(2)地区层面的社会经济指标所显示的差异程度往往低于个体层面的指标;(3)普查区和街区组层面的前列腺癌死亡率社会经济差异彼此相似,但与县层面的差异完全不同。
地理尺度和社会经济指标的选择会影响前列腺癌死亡率社会经济差异分析的结果。大多数普查区和街区组层面的社会经济指标适用于分析前列腺癌死亡率差异。如有可能,应避免使用县层面的社会经济指标。