Albano Jessica D, Ward Elizabeth, Jemal Ahmedin, Anderson Robert, Cokkinides Vilma E, Murray Taylor, Henley Jane, Liff Jonathan, Thun Michael J
Epidemiology and Surveillance Research, American Cancer Society, 1599 Clifton Rd, Atlanta, GA 30329, USA.
J Natl Cancer Inst. 2007 Sep 19;99(18):1384-94. doi: 10.1093/jnci/djm127. Epub 2007 Sep 11.
Although both race and socioeconomic status are well known to influence mortality patterns in the United States, few studies have examined the simultaneous influence of these factors on cancer incidence and mortality. We examined relationships among race, education level, and mortality from cancers of the lung, breast, prostate, colon and rectum, and all sites combined in contemporary US vital statistics.
Age-adjusted cancer death rates (with 95% confidence intervals [CIs]) were calculated for 137,708 deaths among 119,376,196 individuals aged 25-64 years, using race and education information from death certificates and population denominator data from the US Bureau of the Census, for 47 states and Washington, DC, in 2001. Relative risk (RR) estimates were used to compare cancer death rates in persons with 12 or fewer years of education with those in persons with more than 12 years of education.
Educational attainment was strongly and inversely associated with mortality from all cancers combined in black and white men and in white women. The all-cancer death rates were nearly identical for black men and white men with 0-8 years of education (224.2 and 223.6 per 100,000, respectively). The estimated relative risk for all-cancer mortality comparing the three lowest (< or = 12 years) with the three highest (> 12 years) education categories was 2.38 (95% CI = 2.33 to 2.43) for black men, 2.24 (95% CI = 2.23 to 2.26) for white men, 1.43 (95% CI = 1.41 to 1.46) for black women, and 1.76 (95% CI = 1.75 to 1.78) for white women. For both men and women, the magnitude of the relative risks comparing the three lowest educational levels with the three highest within each race for all cancers combined and for lung and colorectal cancers was higher than the magnitude of the relative risks associated with race within each level of education, whereas for breast and prostate cancer the magnitude of the relative risks associated with race was higher than the magnitude of the relative risks associated with level of education within each racial group. Among the most important and novel findings were that black men who completed 12 or fewer years of education had a prostate cancer death rate that was more than double that of black men with more schooling (10.5 versus 4.8 per 100,000 men; RR = 2.17, 95% CI = 1.82 to 2.58) and that, in contrast with studies of mortality rates in earlier time periods, breast cancer mortality rates were higher among women with less education than among women with more education (37.0 and 31.1 per 100,000, respectively, for black women and 25.2 versus 18.6 per 100,000, respectively, for white women).
Cancer death rates vary considerably by level of education. Identifying groups at high risk of death from cancer by level of education as well as by race may be useful in targeting interventions and tracking cancer disparities.
尽管种族和社会经济地位都会影响美国的死亡率模式,但是很少有研究探讨这些因素对癌症发病率和死亡率的同时影响。我们在美国当代人口动态统计数据中研究了种族、教育水平与肺癌、乳腺癌、前列腺癌、结肠癌和直肠癌以及所有癌症总死亡率之间的关系。
利用2001年47个州及华盛顿特区的死亡证明中的种族和教育信息以及美国人口普查局的人口分母数据,计算了119376196名25至64岁个体中137708例死亡的年龄调整癌症死亡率(及95%置信区间[CI])。相对风险(RR)估计值用于比较受教育年限为12年或更少的人与受教育年限超过12年的人的癌症死亡率。
在黑人和白人男性以及白人女性中,教育程度与所有癌症合并死亡率呈强烈负相关。受教育年限为0至8年的黑人男性和白人男性的全癌死亡率几乎相同(分别为每10万人224.2例和223.6例)。将教育程度最低的三个类别(≤12年)与最高的三个类别(>12年)相比,黑人男性的全癌死亡相对风险估计值为2.38(95%CI=2.33至2.43),白人男性为2.24(95%CI=2.23至2.26),黑人女性为1.43(95%CI=1.41至1.46),白人女性为1.76(95%CI=1.75至1.78)。对于男性和女性,在每个种族中,将教育程度最低的三个水平与最高的三个水平相比,所有癌症合并以及肺癌和结直肠癌的相对风险幅度高于每个教育水平内与种族相关的相对风险幅度,而对于乳腺癌和前列腺癌,每个种族组内与种族相关的相对风险幅度高于与教育水平相关的相对风险幅度。最重要且新颖的发现包括:受教育年限为12年或更少的黑人男性的前列腺癌死亡率是受教育程度更高的黑人男性的两倍多(每10万名男性中分别为10.5例和4.8例;RR=2.17,95%CI=1.82至2.58),并且与早期死亡率研究不同的是,受教育程度较低的女性的乳腺癌死亡率高于受教育程度较高的女性(黑人女性分别为每10万人37.0例和31.1例,白人女性分别为每10万人25.2例和18.6例)。
癌症死亡率因教育程度不同而有很大差异。通过教育程度以及种族确定癌症高死亡风险群体可能有助于确定干预目标和追踪癌症差异。