OBJECTIVE: The aim of this study was to investigate whether pesticide exposure was associated with Parkinson's disease in a population-based case-control study in British Columbia, Canada. METHODS: Patients reimbursed for anti-parkinsonian agents were identified and screened for eligibility as cases. Controls were selected from the universal health insurance database, frequency-matched to the case sample on birth year, gender, and geographic region. A total of 403 cases and 405 controls were interviewed about their job, medical and personal habits histories, and beliefs about disease risk factors. Among those reporting pesticide exposure, an occupational hygiene review selected participants exposed "beyond background" (ie, above the level expected in the general population). Unconditional logistic regression was used to estimate associations for different pesticide categories. RESULTS: Of the cases, 74 (18%) self-reported pesticide exposure and 37 (9%) were judged to be exposed beyond background. Self-reported exposure was associated with increased risk [odds ratio (OR) 1.76, 95% confidence interval (95% CI) 1.15-2.70], however the risk estimate was reduced following the hygiene review when restricted to those considered exposed (OR, 1.51, 95% CI, 0.85-2.69). When agricultural work was added to the model, the risk for hygiene-reviewed pesticide exposure was not elevated (OR 0.83, 95% CI 0.43-1.61), but agricultural work was (OR 2.47, 95% CI 1.18-5.15). More than twice as many cases as controls thought chemicals cause Parkinson's disease. Discussion This study provides little support for pesticide exposure as a cause of Parkinson's disease. The observed pattern of step-wise decreases in risk estimates might indicate differential recall by case status. The relationship to agricultural jobs suggests that farming exposures--other than pesticides--should be considered as risk factors for Parkinson's disease.
OBJECTIVE: The aim of this study was to investigate whether pesticide exposure was associated with Parkinson's disease in a population-based case-control study in British Columbia, Canada. METHODS:Patients reimbursed for anti-parkinsonian agents were identified and screened for eligibility as cases. Controls were selected from the universal health insurance database, frequency-matched to the case sample on birth year, gender, and geographic region. A total of 403 cases and 405 controls were interviewed about their job, medical and personal habits histories, and beliefs about disease risk factors. Among those reporting pesticide exposure, an occupational hygiene review selected participants exposed "beyond background" (ie, above the level expected in the general population). Unconditional logistic regression was used to estimate associations for different pesticide categories. RESULTS: Of the cases, 74 (18%) self-reported pesticide exposure and 37 (9%) were judged to be exposed beyond background. Self-reported exposure was associated with increased risk [odds ratio (OR) 1.76, 95% confidence interval (95% CI) 1.15-2.70], however the risk estimate was reduced following the hygiene review when restricted to those considered exposed (OR, 1.51, 95% CI, 0.85-2.69). When agricultural work was added to the model, the risk for hygiene-reviewed pesticide exposure was not elevated (OR 0.83, 95% CI 0.43-1.61), but agricultural work was (OR 2.47, 95% CI 1.18-5.15). More than twice as many cases as controls thought chemicals cause Parkinson's disease. Discussion This study provides little support for pesticide exposure as a cause of Parkinson's disease. The observed pattern of step-wise decreases in risk estimates might indicate differential recall by case status. The relationship to agricultural jobs suggests that farming exposures--other than pesticides--should be considered as risk factors for Parkinson's disease.
Authors: Daniele Belvisi; Roberta Pellicciari; Andrea Fabbrini; Matteo Costanzo; Sara Pietracupa; Maria De Lucia; Nicola Modugno; Francesca Magrinelli; Carlo Dallocchio; Tommaso Ercoli; Claudio Terravecchia; Alessandra Nicoletti; Paolo Solla; Giovanni Fabbrini; Michele Tinazzi; Alfredo Berardelli; Giovanni Defazio Journal: Neurology Date: 2020-09-17 Impact factor: 9.910
Authors: Charlotte A Haaxma; George F Borm; Dimitri van der Linden; Arnoud C Kappelle; Bastiaan R Bloem Journal: J Neurol Date: 2015-07-03 Impact factor: 4.849
Authors: Johan Ohlander; Samuel Fuhrimann; Ioannis Basinas; John W Cherrie; Karen S Galea; Andrew C Povey; Martie van Tongeren; Anne-Helen Harding; Kate Jones; Roel Vermeulen; Anke Huss; Hans Kromhout Journal: Occup Environ Med Date: 2022-04-07 Impact factor: 4.948