Socioeconomic status and cancers of the female breast and reproductive organs: a comparison across racial/ethnic populations in Los Angeles County, California (United States)

被引:126
作者
Liu, LH [1 ]
Deapen, D [1 ]
Bernstein, L [1 ]
机构
[1] Univ So Calif, Sch Med, Dept Prevent Med, Canc Surveillance Program, Los Angeles, CA 90033 USA
关键词
breast cancer; reproductive cancers; social class; registries; ethnic groups; United States; women;
D O I
10.1023/A:1008811432436
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Objectives: Despite the fact that socioeconomic status (SES) has been shown to have important implications in health related issues, population-based cancer registries in the United States do not routinely collect SES information. This study presents a model to estimate the SES of cancer patients in the registry database. Methods: At the Los Angeles Cancer Surveillance Program (CSP), we developed a model to estimate each cancer patient's SES from aggregate measurements of the census tract of residence (n = 1,640) at time of diagnosis. We then applied the SES estimates to observe the relationship between SES and risk of cancers of the female breast and reproductive organs including cancers of the ovary, cervix uteri, and corpus uteri. The analyses were performed on the cumulative records (n = 127,819) of cancer patients diagnosed between 1972 and 1992 in Los Angeles County, California, for the mutually exclusive racial/ethnic groups of non-Hispanic Whites, Hispanic Whites, Blacks, Asians, and persons of other ethnic groups. Results: We found SES is positively associated with female breast cancer, ovarian cancer, and cancer of the corpus uteri, but inversely associated with cervical cancer. These SES trends were quite consistent across age groups among non-Hispanic White women. Variations by race/ethnicity in the SES patterns were also found, with Asians exhibiting little association. Conclusions: Our model of measuring SES is sufficiently sensitive to capture the trends. Adopting the aggregate approach to measure SES in population-based registry data appears to be useful.
引用
收藏
页码:369 / 380
页数:12
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