Date of Award

January 2022

Document Type

Thesis

Degree Name

Master of Public Health (MPH)

Department

School of Public Health

First Advisor

Krystal Pollitt

Second Advisor

Song Tang

Abstract

Measurements and analysis of an emerging contaminant of poly- and perfluoroalkyl substances (PFAS) and adverse health effects associated with PFAS have received increasing attention around the world. In this study, 64 participants’ household dust were collected in Jinan, China during September 2018 and January 2019, conducted as part of the Biomarkers of Air Pollutants Exposure in the Chinese aged 60-69 (China BAPE) study. Concentrations and composition profiles of 7 individual PFASs were determined and estimated daily intakes of PFASs via dust ingestion for children and adults were calculated. By using a dimension reduction method − principal component analysis (PCA) and a machine leaning algorithm − random forest, I discovered important factors associated with PFASs exposure, they are human behavior including cooking and cleaning, personal characteristics including income, BMI, age and education, and household environment such as floor level, building age and building areas. The spline regression models were used to analyze the relationship between concentrations of PFASs in household dust and major governing factors resulting from random forest. Future studies should be conducted to investigate associations between exposure profiles via dust ingestion and relevant biomarkers.

Comments

This thesis is restricted to Yale network users only. It will be made publicly available on 05/19/2024

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