Predicting personal PAH exposure using high dimensional questionnaire and wristband data.
Sarah M McLarnan1, Lisa M Bramer2, Holly M Dixon3
1Department of Environmental Health Sciences, Columbia University, Columbia Center for Children's Environmental Health, Mailman School of Public Health, New York City, NY, USA. smm2316@cumc.columbia.edu.
Journal of Exposure Science & Environmental Epidemiology
|January 4, 2024
Summary
Identifying sources of polycyclic aromatic hydrocarbons (PAHs) exposure is crucial for public health. This study found that income, outdoor time, maternal age, and transportation type predict personal PAH exposure in pregnant individuals.
Area of Science:
- Environmental Health
- Exposure Science
- Toxicology
Background:
- Polycyclic aromatic hydrocarbons (PAHs) are widespread environmental pollutants linked to adverse health outcomes.
- Estimating personal exposure to PAHs is established, but identifying exposure sources requires further investigation.
- Understanding PAH exposure sources is vital for risk identification and targeted public health interventions.
Purpose of the Study:
- To identify personal characteristics and behaviors associated with personal polycyclic aromatic hydrocarbons (PAH) exposure.
- To develop predictive models for personal PAH exposure levels using data from a New York birth cohort.
Main Methods:
- Quantified 61 PAHs using silicone wristbands from 177 pregnant individuals.
- Collected data on 75 questionnaire variables related to personal characteristics and behaviors.
- Employed regression tree analysis and principal component analysis to identify PAH exposure predictors.
Main Results:
- Income, time spent outdoors, maternal age, country of birth, transportation type, and season were key predictors of PAH exposure.
- Regression tree analysis revealed significant associations between these factors and individual PAH compounds and mixtures.
- Principal component analysis confirmed these variables as important determinants of overall PAH exposure profiles.
Conclusions:
- Personal characteristics and behaviors significantly influence personal polycyclic aromatic hydrocarbons (PAH) exposure.
- Factors such as socioeconomic status, lifestyle, and demographics can be used to predict PAH exposure levels.
- These findings can inform targeted strategies to reduce exposure and mitigate health risks associated with PAHs.
