DeChello Laurie M, Sheehan T Joseph
Department of Community Medicine and Health Care, University of Connecticut School of Medicine, 263 Farmington Ave, Farmington, CT 06030-6325, USA.
Int J Health Geogr. 2006 Aug 2;5:31. doi: 10.1186/1476-072X-5-31.
The aims of this study were to determine whether observed geographic variations in melanoma cancer incidence in both gender groups are simply random or are statistically significant, whether statistically significant excesses are temporary or persistent, and whether they can be explained by risk factors such as socioeconomic status (SES) or the percent of the population residing in an urban rather than a rural area. Between 1990 and 1999, 4774 female and 5688 male melanomas were diagnosed in Massachusetts residents. Cases were aggregated to census tracts and analyzed for deviations from random occurrence with respect to both spatial location and time.
Thirteen geographic areas that deviated significantly from randomness were uncovered in the age-adjusted analyses of males: five with higher incidence rates than expected and eight lower than expected. In the age-adjusted analyses of females, six areas with higher incidence rates and eight areas with lower than expected incidence rates were found. After adjustment for SES and percent urban, several of these areas were no longer significantly different.
These analyses identify geographic areas with invasive melanoma incidence higher or lower than expected, the times of their excess, and whether or not their status is affected when the model is adjusted for risk factors. These surveillance findings can be a sound starting point for the shoe-leather epidemiologist.
本研究的目的是确定在两个性别群体中观察到的黑色素瘤癌症发病率的地理差异是单纯随机的还是具有统计学意义,具有统计学意义的超额发病率是暂时的还是持续的,以及它们是否可以由社会经济地位(SES)或居住在城市而非农村地区的人口百分比等风险因素来解释。1990年至1999年期间,马萨诸塞州居民中有4774例女性和5688例男性被诊断为黑色素瘤。病例被汇总到普查区,并就空间位置和时间方面与随机发生情况的偏差进行分析。
在对男性进行的年龄调整分析中,发现了13个与随机性有显著偏差的地理区域:5个发病率高于预期,8个低于预期。在对女性进行的年龄调整分析中,发现6个发病率较高的区域和8个发病率低于预期的区域。在对社会经济地位和城市人口百分比进行调整后,其中一些区域不再有显著差异。
这些分析确定了侵袭性黑色素瘤发病率高于或低于预期的地理区域、其超额发病的时间,以及在对风险因素进行模型调整时其状况是否受到影响。这些监测结果可以成为实地调查流行病学家的一个良好起点。