Zadnik V, Reich B J
Epidemiology and Cancer Registries, Institute of Oncology Ljubljana, 1000 Ljubljana, Slovenia.
Neoplasma. 2006;53(2):103-10.
An unequal population distribution of well-known major risk factors explains much of the variation in the incidence of stomach cancer worldwide. The aim of this study was to determine whether geographical variation of the stomach cancer incidence rate between Slovenia's municipalities during years 1995-2001 could partially be explained by variations in the socioeconomic status as an indirect stomach cancer risk factor. A composite measure of each region's socioeconomic status, labelled as deprivation index, was created from basic socioeconomic characteristics of each municipality using factor analysis. Municipalities' standardized incidence ratios for all stomach cancers and non-cardia stomach cancer were calculated. A fully Bayesian spatial model with a conditionally autoregressive prior was applied using Markov chain Monte Carlo techniques and WinBUGS software. Spatially smoothed maps of stomach cancer incidence rates by 192 Slovenian municipalities show a clear west-to-east gradient. This pattern resembles the geographical variation of socioeconomic indices, but these indices are not significant predictors of stomach cancer incidence. Geographical variation of stomach cancer incidence in Slovenia could be partially explained by the heterogeneous socioeconomic characteristics of its municipalities. It is possible that the socioeconomic status indices used in our study were not enough powerful predictors of stomach cancer risk. Some further methodological research is needed to explain why this association was not statistically evident with the current modeling approach.
知名主要风险因素在人群中的分布不均,在很大程度上解释了全球胃癌发病率的差异。本研究的目的是确定1995 - 2001年间斯洛文尼亚各市政当局之间胃癌发病率的地理差异,是否可以部分地由作为间接胃癌风险因素的社会经济地位差异来解释。利用因子分析,根据每个市政当局的基本社会经济特征,创建了一个标记为贫困指数的各地区社会经济地位综合指标。计算了所有胃癌和非贲门胃癌的市政当局标准化发病率比。使用马尔可夫链蒙特卡罗技术和WinBUGS软件,应用了具有条件自回归先验的全贝叶斯空间模型。斯洛文尼亚192个市政当局的胃癌发病率空间平滑图显示出明显的西向东梯度。这种模式类似于社会经济指数的地理差异,但这些指数并不是胃癌发病率的显著预测因素。斯洛文尼亚胃癌发病率的地理差异可以部分地由其市政当局的社会经济特征异质性来解释。我们研究中使用的社会经济地位指数可能不足以有力地预测胃癌风险。需要进一步开展一些方法学研究,以解释为何采用当前的建模方法时这种关联在统计学上不明显。