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Traffic-related air pollution, road traffic noise, and Parkinson's disease: Evaluations in two Dutch cohort studies.
Lomme, Jara; Reedijk, Marije; Peters, Susan; Downward, George S; Stefanopoulou, Magdalini; Vermeulen, Roel; Huss, Anke.
Afiliação
  • Lomme J; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
  • Reedijk M; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
  • Peters S; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
  • Downward GS; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
  • Stefanopoulou M; Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Vermeulen R; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
  • Huss A; Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Environ Epidemiol ; 7(6): e272, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38912395
ABSTRACT

Background:

Environmental factors such as air pollution have been associated with Parkinson's disease (PD), but findings have been inconsistent. We investigated the association between exposure to several air pollutants, road traffic noise, and PD risk in two Dutch cohorts.

Methods:

Data from 50,087 participants from two Dutch population-based cohort studies, European Prospective Investigation into Cancer and Nutrition in the Netherlands and Arbeid, Milieu en Gezondheid Onderzoek were analyzed. In these cohorts, 235 PD cases were ascertained based on a previously validated algorithm combining self-reported information (diagnosis, medication, and symptoms) and registry data. We assigned the following traffic-related exposures to residential addresses at baseline NO2, NOx, particulate matter (PM)2.5absorbance (as a marker for black carbon exposure), PM with aerodynamic diameter ≤2.5 µm (PM2.5), ≤10 µm (PM10), PMcoarse (size fraction 2.5-10 µm), ultrafine particles <0.1 µm (UFP), and road traffic noise (Lden). Logistic regression models were applied to investigate the associations with PD, adjusted for possible confounders.

Results:

Both single- and two-pollutant models indicated associations between exposure to NOx, road traffic noise, and increasing odds of developing PD. Odds ratios of fully adjusted two-pollutant models in the highest compared with the lowest exposure quartile were 1.62 (95% CI = 1.02, 2.62) for NOx and 1.47 (95% CI = 0.97, 2.25) for road traffic noise, with clear trends across exposure categories.

Conclusions:

Our findings suggest that NOx and road traffic noise are associated with an increased risk of PD. While the association with NOx has been shown before, further investigation into the possible role of environmental noise on PD is warranted.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Epidemiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Environ Epidemiol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Holanda País de publicação: Estados Unidos