Vieira Verónica M, Hansen Johnni, Gredal Ole, Weisskopf Marc G
a Program in Public Health, Susan and Henry Samueli College of Health Sciences , University of California , Irvine , CA , USA.
b Danish Cancer Society Research Center , Copenhagen , Denmark.
Amyotroph Lateral Scler Frontotemporal Degener. 2018 May;19(3-4):275-284. doi: 10.1080/21678421.2018.1432658. Epub 2018 Jan 31.
Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease of the motor neuron with very few known risk factors. We conducted a spatial epidemiologic analysis of ALS incidence in Denmark to assess the contribution of sociodemographic determinants to geographic variation.
We analyzed 4249 ALS cases (1982-2013), each with 100 controls matched on sex and birth year. Odds ratio and 95% confidence bands at birth and diagnosis/index locations were calculated using generalized additive models. We included a bivariate spatial smooth for location in our conditional logistic regression adjusted for socioeconomic status and marital status. We also conducted analyses adjusted for both birth and diagnosis addresses to separate location effects.
We observed significantly elevated ALS odds near Copenhagen for both the birth and diagnosis period analyses. Sociodemographic factors did not explain the observed patterns. When we further adjusted our spatial analyses by including both birth and diagnosis addresses, the significant area of elevated male ALS odds by birth address shifted to northwest Denmark away from Copenhagen, and there was little evidence of variation among women. Geographic variation at diagnosis differed between male and females, suggesting that patterns are not just due to regional variation in case ascertainment.
ALS incidence in Denmark is associated with both location at birth and diagnosis, suggesting that geographic variation may be due to exposures occurring at birth or closer to diagnosis, although the latter could relate to case ascertainment issues.
肌萎缩侧索硬化症(ALS)是一种运动神经元的神经退行性疾病,已知的风险因素很少。我们对丹麦ALS发病率进行了空间流行病学分析,以评估社会人口学决定因素对地理变异的影响。
我们分析了4249例ALS病例(1982 - 2013年),每个病例匹配100名性别和出生年份相同的对照。使用广义相加模型计算出生和诊断/索引地点的比值比和95%置信区间。在我们的条件逻辑回归中,纳入了一个针对地点的双变量空间平滑项,并对社会经济地位和婚姻状况进行了调整。我们还进行了针对出生和诊断地址的分析,以区分地点效应。
在出生期和诊断期分析中,我们都观察到哥本哈根附近ALS的发病几率显著升高。社会人口学因素无法解释观察到的模式。当我们通过纳入出生和诊断地址进一步调整空间分析时,因出生地址导致男性ALS发病几率升高的显著区域从哥本哈根转移到了丹麦西北部,而女性之间几乎没有差异的证据。男性和女性在诊断时的地理变异有所不同,这表明这种模式不仅仅是由于病例确诊的区域差异。
丹麦ALS发病率与出生和诊断地点都有关联,这表明地理变异可能是由于出生时或接近诊断时的暴露所致,尽管后者可能与病例确诊问题有关。