Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Faculty of Medicine Nursing and Health Sciences, Monash University, Australia.
Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Australia.
Parkinsonism Relat Disord. 2019 Apr;61:198-202. doi: 10.1016/j.parkreldis.2018.10.026. Epub 2018 Oct 23.
Parkinson's disease prevalence has been associated with rurality and pesticide use in studies throughout the world. Here, Parkinson's disease (PD) medication usage was used to estimate prevalence in 79 urban and rural localities in Victoria, Australia (5.3 million people).
An ecological study design was used to determine whether PD medication usage, as a reporter of PD diagnosis, differed between 79 regions in Victoria, and whether variance in PD prevalence was associated with population demographics using multiple regression. Cluster formation probability was calculated using Monte Carlo modelling. The association between agricultural production and PD prevalence was conducted with Bonferroni-adjusted Mann-Whitney-U tests.
PD prevalence in Victoria was estimated to be 0.85%, which was greater in rural (1.02%) compared to urban (0.80%) locations; a difference that was abolished when corrected for demographic variables. Four of the highest prevalent regions (regardless of covariate adjustment) were clustered in northwest Victoria; a formation that was unlikely to be due to chance (P = 0.00095). These regions had increased production of pulse crops.
PD prevalence was not associated with rurality, but associated with areas of pulse production. Pulses are plants of the fabaceae family, where many of these species secrete the PD toxin, rotenone, as a natural pesticide, which may underlie increased risk. This study is limited by the data collection method, where people who do not take PD medication for their disease, or take PD-associated medication for other diseases, may impact the estimated prevalence.
在世界各地的研究中,帕金森病的患病率与农村地区和农药使用有关。在这里,使用帕金森病(PD)药物使用来估计澳大利亚维多利亚州 79 个城市和农村地区(530 万人)的患病率。
采用生态研究设计,确定 PD 药物使用(作为 PD 诊断的报告)是否在维多利亚州的 79 个地区之间存在差异,以及使用多元回归确定人口统计学变量与 PD 患病率之间的差异。使用蒙特卡罗建模计算聚类形成概率。使用 Bonferroni 调整的 Mann-Whitney-U 检验进行农业生产与 PD 患病率之间的关联。
维多利亚州的 PD 患病率估计为 0.85%,农村地区(1.02%)高于城市地区(0.80%);当校正人口统计学变量时,这种差异就消失了。无论是否进行协变量调整,四个患病率最高的地区(都在西北维多利亚州)聚类在一起;这种形成不太可能是偶然的(P=0.00095)。这些地区的豆类作物产量增加。
PD 患病率与农村地区无关,但与豆类作物生产区有关。豆类是豆科植物,其中许多物种分泌 PD 毒素鱼藤酮作为天然杀虫剂,这可能是导致风险增加的原因。本研究受到数据收集方法的限制,因为那些没有因疾病而服用 PD 药物或因其他疾病而服用 PD 相关药物的人可能会影响估计的患病率。