Office of Epidemiology, Chinese Center for Disease Control and Prevention, Beijing, China.
Program Office for Cancer Screening in Urban China, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Cancer Med. 2017 Oct;6(10):2440-2452. doi: 10.1002/cam4.1170. Epub 2017 Sep 21.
There is inconsistent evidence of associations between socioeconomic status (SES) and lung cancer stage in non-Chinese populations up to now. We set out to determine how SES affects stage at diagnosis at both individual and area levels, from a hospital-based multicenter 10-year (2005-2014) retrospective clinical epidemiological study of 7184 primary lung cancer patients in mainland China. Individual-level SES data were measured based on two indicators from case report forms of the study: an individual's education and occupation. Seven census indicator variables were used as surrogates for the area-level SES with principal component analysis (PCA). Multivariate analysis was undertaken using binary logistic regressions and multinomial logit model to describe the association and explore the effect across tertiles on stage after adjusting for demographic variables. There was a significant stepwise gradient of effect across different stages in the highest tertile of area-level SES, comparing with the lowest tertile of area-level SES (ORs, 0.77, 0.67, and 0.29 for stage II, III, and IV). Patients with higher education were less likely to have stage IV lung cancer, comparing with the illiterate group (ORs, 0.52, 0.63, 0.71, 0.64 for primary school, middle school, high school, college degree or above subgroup, respectively). Findings suggest that the most socioeconomically deprived areas may be associated with a higher risk of advanced-stage lung cancer, and increasing educational level may be correlated with a lower risk to be diagnosed at advanced stage in both men and women.
到目前为止,非华裔人群中社会经济地位(SES)与肺癌分期之间的关联证据并不一致。我们旨在从中国大陆一项基于医院的多中心 10 年(2005-2014 年)回顾性临床流行病学研究中确定 SES 如何在个体和地区层面影响诊断时的分期,该研究共纳入了 7184 例原发性肺癌患者。个体 SES 数据基于研究病例报告表中的两个指标进行测量:个体的教育程度和职业。使用主成分分析(PCA)将 7 个人口普查指标变量作为地区 SES 的替代指标。使用二元逻辑回归和多项逻辑回归模型进行多变量分析,以描述关联,并在调整人口统计学变量后探索不同三分位组的分期效果。在最高地区 SES 三分位组与最低地区 SES 三分位组相比,不同分期的效果呈现出显著的逐步梯度(ORs 分别为 0.77、0.67 和 0.29 用于分期 II、III 和 IV)。与文盲组相比,受教育程度较高的患者更不可能患有 IV 期肺癌(ORs 分别为 0.52、0.63、0.71、0.64,用于小学、中学、高中、大学及以上分组)。研究结果表明,最贫困的社会经济地区可能与晚期肺癌风险增加相关,而提高教育水平可能与男性和女性中晚期诊断风险降低相关。