Ueda Kimiko, Tsukuma Hideaki, Ajiki Wakiko, Oshima Akira
Department of Cancer Control and Statistics, Osaka Medical Center for Cancer and Cardiovascular Diseases, 3-3 Nakamichi, 1-chome, Higashinari-ku, Osaka 537-8511, Japan.
Cancer Sci. 2005 Oct;96(10):684-8. doi: 10.1111/j.1349-7006.2005.00104.x.
Cancer mortality is generally high in people of low socioeconomic status compared with people of high socioeconomic status (SES). Although these differences in mortality may be caused by differences in cancer incidence and survival, analysis of these factors has rarely been conducted. The objective of our cross-sectional ecological study was to analyze socioeconomic differences in cancer incidence, mortality and survival in a metropolitan area of Japan. The age-adjusted cancer incidence rates, age-adjusted mortality rates, relative 5-year survival, and proportions of early stage cancer were calculated for 67 municipalities in Osaka, Japan. For area-based socioeconomic variables, we used the percentages of male unemployment, college or graduate school graduates, home ownership, households receiving government assistance, and households below the subsistence habitation level in each municipality. We performed linear regression taking each municipality's population as weight to examine the relationships between measurements relating cancer and socioeconomic variables. Factor analysis of socioeconomic variables was carried out to determine whether a particular socioeconomic variable tended to be associated with another. Cancer incidence, cancer mortality, 5-year cancer survival, and proportion of early stage cancer were highly correlated with each socioeconomic variable at the municipality level. Five area-based socioeconomic variables could be explained by three factors: economic status, housing characteristics and educational attainment. Despite the major limitation of a lack of individual information about socioeconomic characteristics and outcomes related to cancer, we hypothesize that a municipal area's socioeconomic status might be a predictor of individual incidence, mortality, and survival of cancer.
与社会经济地位高的人群相比,社会经济地位低的人群癌症死亡率通常较高。尽管死亡率的这些差异可能是由癌症发病率和生存率的差异引起的,但很少有人对这些因素进行分析。我们横断面生态研究的目的是分析日本一个大都市地区癌症发病率、死亡率和生存率的社会经济差异。计算了日本大阪67个市的年龄调整癌症发病率、年龄调整死亡率、相对5年生存率和早期癌症比例。对于基于地区的社会经济变量,我们使用了每个市男性失业率、大学或研究生毕业生比例、自有住房率、接受政府援助的家庭比例以及生活在最低居住水平以下的家庭比例。我们以每个市的人口为权重进行线性回归,以检验与癌症相关的测量值和社会经济变量之间的关系。对社会经济变量进行因子分析,以确定特定的社会经济变量是否倾向于与另一个变量相关。在市一级,癌症发病率、癌症死亡率、5年癌症生存率和早期癌症比例与每个社会经济变量高度相关。五个基于地区的社会经济变量可以由三个因素来解释:经济状况、住房特征和教育程度。尽管存在缺乏与癌症相关的社会经济特征和结果的个人信息这一主要局限性,但我们假设一个市的社会经济地位可能是个体癌症发病率、死亡率和生存率的一个预测指标。