Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark.
Neuro Oncol. 2010 Dec;12(12):1291-9. doi: 10.1093/neuonc/noq149. Epub 2010 Nov 10.
Vestibular schwannoma (VS) (or acoustic neuroma) accounts for about 5%-6% of all intracranial tumors; little is known about the etiology. We investigated the association between various sociodemographic indicators and VS in a cohort of 3.26 million Danish residents, with 1087 cases identified in 35 308 974 person-years under risk, with data accrued from 1993 to 2006. Complete ascertainment of cases was ensured by using population-based and clinical cancer registries. Information on sociodemographic indicators was obtained on an annually updated individual level from Statistics Denmark. Log-linear Poisson regression models were used to estimate incidence rate ratios (IRRs). Linear regression models were used to examine the association between sociodemographic indicators and tumor size. We found that IRRs decreased gradually with decreasing level of education, with values of 0.62 (95% CI: 0.49-0.78) for men and 0.62 (95% CI: 0.50-0.77) for women with a basic education compared with a higher education. Similar results were found for disposable income. Marital status was associated with a higher incidence of VS in men but not women; nonmarried men with a basic education had an IRR of 0.34 (95% CI: 0.23-0.50) compared with married men with a higher education. Lower incidence rates were also observed among unemployed or early-retirement pensioners, whereas there were no differences in incidence rates across the broad groups of occupations and across the types of districts. Sociodemographic indicators were not associated with the tumor size. The magnitude of the differences in incidence rates across the groups of different socioeconomic indicators suggests a high potential for earlier diagnosis of VS by improving the awareness of early symptoms.
前庭神经鞘瘤(VS)(或听神经瘤)占所有颅内肿瘤的 5%-6%;其病因知之甚少。我们调查了丹麦 326 万居民队列中各种社会人口学指标与 VS 的相关性,在 35308974 人年的风险中发现了 1087 例,数据来源于 1993 年至 2006 年。通过使用基于人群和临床癌症登记处,确保了病例的完全确定。社会人口学指标的信息每年通过丹麦统计局进行个体水平更新。使用对数线性泊松回归模型估计发病率比(IRR)。线性回归模型用于研究社会人口学指标与肿瘤大小之间的关系。我们发现,IRR 随着教育水平的降低而逐渐降低,与接受高等教育的人群相比,接受基础教育的男性和女性的 IRR 值分别为 0.62(95% CI:0.49-0.78)和 0.62(95% CI:0.50-0.77)。可支配收入也有类似的结果。婚姻状况与 VS 男性发病率较高有关,但与女性无关;与接受高等教育的已婚男性相比,接受基础教育的未婚男性的 IRR 为 0.34(95% CI:0.23-0.50)。失业或提前退休养老金领取者的发病率也较低,而不同职业和不同地区类型的发病率没有差异。社会人口学指标与肿瘤大小无关。不同社会经济指标组之间发病率差异的幅度表明,通过提高对早期症状的认识,有很大的潜力可以更早地诊断 VS。