Chen Szu-Ju, Pan Shih-Chun, Wu Chih-Da, Li Hsun, Guo Yue Leon, Lin Chin-Hsien
Deparment of Neurology, National Taiwan University Hospital Beihu Branch, Taipei, Taiwan.
Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.
J Neurol Neurosurg Psychiatry. 2025 Jul 16;96(8):757-765. doi: 10.1136/jnnp-2024-334825.
BACKGROUND: Recent evidence suggests brain-first Parkinson's disease (PD) may start from the olfactory system, indicating potential inhalational exposure to causal agents. We investigated the impact of long-term exposure to various air pollutants on PD incidence using both single- and multi-pollutant models to account for interactions between pollutants. METHODS: This retrospective population study used data from Taiwan's National Health Insurance Research Database (2006 and 2018) and included individuals aged 40-65 without PD. Personal exposure levels to various air pollutants, including PM, PM, NO, O, SO and CO, were calculated using the hybrid Kriging/land-use regression method. Cox regression models were used to analyse the association between pollutants and PD incidence, adjusting for covariates. RESULTS: A total of 5 113 322 individuals without PD (mean age 50.1±6.9 years, 47.3% men) were followed for an average of 11.2±2.4 years, during which 20 694 incident cases of PD were identified. In the single-pollutant model, exposure to PM (HR 2.65 (95% CI 2.59 to 2.72)), PM (HR 3.13 (3.04 to 3.22)), NO (HR 1.74 (1.68 to 1.80)) and SO (HR 1.68 (1.65 to 1.71)) was associated with an increased risk of PD. These associations remained robust in the multipollutant model. A positive association between exposure to O and an increased risk of PD (HR 1.29 (1.25-1.33)) was observed after adjusting for co-pollutants. CONCLUSIONS: This nationwide cohort study employing multiple-pollutant models for considering the interaction effects revealed an association between exposure to multiple air pollutants and the risk of PD, emphasising the need for early prevention strategies.
背景:最近的证据表明,脑部首发的帕金森病(PD)可能始于嗅觉系统,这表明可能通过吸入接触致病因子。我们使用单污染物模型和多污染物模型来考虑污染物之间的相互作用,研究长期接触各种空气污染物对PD发病率的影响。 方法:这项回顾性人群研究使用了台湾国民健康保险研究数据库(2006年和2018年)的数据,纳入了40-65岁无PD的个体。使用混合克里金/土地利用回归方法计算个体对各种空气污染物的暴露水平,包括PM、PM、NO、O、SO和CO。使用Cox回归模型分析污染物与PD发病率之间的关联,并对协变量进行调整。 结果:共有5113322名无PD的个体(平均年龄50.1±6.9岁,男性占47.3%)被随访了平均11.2±2.4年,在此期间确定了20694例PD新发病例。在单污染物模型中,接触PM(风险比[HR]2.65[95%置信区间(CI)2.59至2.72])、PM(HR 3.13[3.04至3.22])、NO(HR 1.74[1.68至1.80])和SO(HR 1.68[1.65至1.71])与PD风险增加相关。在多污染物模型中,这些关联仍然很强。在调整了共污染物后,观察到接触O与PD风险增加之间存在正相关(HR 1.29[1.25-1.33])。 结论:这项采用多污染物模型考虑相互作用效应的全国性队列研究揭示了接触多种空气污染物与PD风险之间的关联,强调了早期预防策略的必要性。
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