4.7 Article

Parkinson's disease mortality and pesticide exposure in California 1984-1994

Journal

INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
Volume 29, Issue 2, Pages 323-329

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ije/29.2.323

Keywords

California agriculture; neurotoxicity; Parkinson's disease; pesticide use; proportionate odds mortality study

Funding

  1. NIEHS NIH HHS [R01 ES010544] Funding Source: Medline

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Background In the last two decades reports from different countries emerged associating pesticide and herbicide use with Parkinson's disease (PD). California growers use approximately 250 million pounds of pesticides annually, about a quarter of all pesticides used in the US. Methods We employed a proportional odds mortality design to compare all cases of PD recorded as underlying (1984-1994) or associated causes (1984-1993) of death occurring in California with all deaths from ischaemic heart disease (ICD-9 410-414) during the same period. Based on pesticide use report data we classified California counties into several pesticide use categories. Agricultural census data allowed us to create measures of percentage of land per county treated with pesticides. Employing logistic regression models we estimated the effect of pesticide use controlling for age, gender, race, birthplace, year of deaths, and education. Results Mortality from PD as the underlying cause of death was higher in agricultural pesticide-use counties than in non-use counties. A dose response was observed for insecticide use per county land treated when using 1982 agricultural census data, but not for amounts of restricted pesticides used or length of residency in a country prior to death. Conclusions Our data show an increased PD mortality in California counties using agricultural pesticides, Unless all of our measures of county pesticide use are surrogates for other risk factors more prevalent in pesticide use counties, it seems important to target this prevalent exposure in rural California in future studies that use improved case finding mechanisms and collect pesticide exposure data for individuals.

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