Singh Gopal K, Miller Barry A, Hankey Benjamin F, Feuer Eric J, Pickle Linda W
Division of Cancer Control and Population Sciences, Surveillance Research Program, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892-8316, USA.
J Natl Cancer Inst. 2002 Jun 19;94(12):904-15. doi: 10.1093/jnci/94.12.904.
Area socioeconomic deprivation indices are widely used to monitor health disparities in Europe. However, such indices have not been used in cancer surveillance in the United States. We developed an area socioeconomic index to examine area socioeconomic patterns in all-cancer mortality among U.S. men between 1950 and 1998.
Principal components analysis on 11 census variables was used to develop an area socioeconomic index that was then used to stratify all U.S. counties into one of five socioeconomic categories. The index was linked to 1950-1998 county mortality data to generate annual mortality rates for each area socioeconomic group. Joinpoint regression analysis was used to model mortality trends, and Poisson regression analysis was used to estimate socioeconomic gradients in mortality over time.
Area socioeconomic patterns in U.S. male cancer mortality changed dramatically between 1950 and 1998. Throughout the 1950s and 1960s, there was a positive socioeconomic gradient, with higher cancer mortality rates in high area socioeconomic groups than in low area socioeconomic groups. For example, in 1950-1952, cancer mortality was 49% (95% confidence interval [CI] = 41% to 59%) greater in the highest area socioeconomic group than in the lowest. The positive gradient narrowed in the 1970s, and by the late 1980s, socioeconomic differences in cancer mortality began to reverse and widen. In 1997-1998, cancer mortality was 19% (95% CI = 11% to 28%) higher in the lowest area socioeconomic group than in the highest. Gradients were steeper for men aged 25-64 years than for men aged 65 years or older.
Socioeconomic patterns in male cancer mortality have reversed over time in the United States. Area socioeconomic indices could serve as a powerful surveillance tool for monitoring health disparities in cancer outcomes.
地区社会经济剥夺指数在欧洲被广泛用于监测健康差异。然而,此类指数在美国癌症监测中尚未得到应用。我们开发了一种地区社会经济指数,以研究1950年至1998年间美国男性全癌死亡率的地区社会经济模式。
对11个人口普查变量进行主成分分析,以开发一种地区社会经济指数,然后将美国所有县分为五个社会经济类别之一。该指数与1950 - 1998年的县死亡率数据相关联,以生成每个地区社会经济组的年度死亡率。采用连接点回归分析对死亡率趋势进行建模,并采用泊松回归分析估计随时间变化的死亡率社会经济梯度。
1950年至1998年间,美国男性癌症死亡率的地区社会经济模式发生了巨大变化。在整个20世纪50年代和60年代,存在正向社会经济梯度,高地区社会经济组的癌症死亡率高于低地区社会经济组。例如,在1950 - 1952年,最高地区社会经济组的癌症死亡率比最低组高49%(95%置信区间[CI]=41%至59%)。正向梯度在20世纪70年代缩小,到20世纪80年代末,癌症死亡率的社会经济差异开始逆转并扩大。在1997 - 1998年,最低地区社会经济组的癌症死亡率比最高组高19%(95% CI = 11%至28%)。25 - 64岁男性的梯度比65岁及以上男性的梯度更陡。
在美国,男性癌症死亡率的社会经济模式随时间发生了逆转。地区社会经济指数可作为监测癌症结果健康差异的有力监测工具。