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Studying the impact of air pollution and pesticide mixtures on respiratory health in Fresno and Tulare counties of central California

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dc.contributor.authorHughes, Matthew Lawrence, author
dc.contributor.authorMagzamen, Sheryl, advisor
dc.contributor.authorAnderson, Brooke, committee member
dc.contributor.authorSchaeffer, Joshua, committee member
dc.contributor.authorBosco-Lauth, Angela, committee member
dc.date.accessioned2022-05-30T10:21:43Z
dc.date.available2022-05-30T10:21:43Z
dc.date.issued2022
dc.description.abstractResidents of California's Central Valley are exposed to some of the worst air quality in the United States, as well as high levels of pesticides owing to the region's large agricultural economy. There is ample evidence that exposure to air pollution is associated with adverse respiratory health outcomes, and some evidence from occupational and community-based studies that exposure to pesticides has negative impacts on respiratory health as well. Epidemiologic research on air pollution and pesticides often considers these exposures one at a time in relation to health outcomes, but humans are exposed to pollutants simultaneously in mixtures. In this study we used multiple linear regression models to look at linear relationships of three criteria air pollutants and biomarkers of organophosphates (dialkyl-phosphates or DAPs) with urinary leukotriene E4 (LTE4), a biomarker of respiratory inflammation, in participants in four Central California communities (n=80). We then used Bayesian Kernel Machine Regression models to study these criteria air pollutants and DAPs as a mixture and determine if this mixture had a relationship with respiratory health in this population. We also studied these relationships at two different times of the year (January and June) to study whether and how this relationship between an air pollution-pesticide mixture and the respiratory health outcome changed seasonally. Our multiple linear regression models revealed that dimethyl-phosphates had a statistically significant association with respiratory health in January, which suggests that LTE4 can be used as a biomarker for respiratory inflammation in populations with low asthma prevalence. The results of our BKMR analysis were not statistically significant but did suggest interactions between the exposures in our air pollution-pesticide mixture. Despite a small sample size, this study adds to the limited research on environmental mixtures, and the effects of pesticide exposure on respiratory health.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierHughes_colostate_0053N_17203.pdf
dc.identifier.urihttps://hdl.handle.net/10217/235243
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectCalifornia
dc.subjectpesticide
dc.subjectair pollution
dc.subjectrespiratory
dc.subjectmixture
dc.titleStudying the impact of air pollution and pesticide mixtures on respiratory health in Fresno and Tulare counties of central California
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineEnvironmental and Radiological Health Sciences
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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