Spatial and temporal determinants of particulate matter peak exposures during pregnancy and early postpartum

Yisi Liu; Li Yi; Yan Xu; Jane Cabison; Sandrah P. Eckel; Tyler B. Mason; Daniel Chu; Nathana Lurvey; Deborah Lerner; Jill Johnston; Theresa M. Bastain; Shohreh F. Farzan; Carrie V. Breton; Genevieve F. Dunton; Rima Habre

Environmental Advances (Oct 2024)

Spatial and temporal determinants of particulate matter peak exposures during pregnancy and early postpartum

Yisi Liu,
Li Yi,
Yan Xu,
Jane Cabison,
Sandrah P. Eckel,
Tyler B. Mason,
Daniel Chu,
Nathana Lurvey,
Deborah Lerner,
Jill Johnston,
Theresa M. Bastain,
Shohreh F. Farzan,
Carrie V. Breton,
Genevieve F. Dunton,
Rima Habre

Affiliations

Yisi Liu: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Department of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, Lexington, KY, USA; Corresponding author at: Department of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, 111 Washington Ave, Room 214B, Lexington, KY 40536, USA.
Li Yi: Department of Population Medicine, Harvard Medical School, Boston, MA, USA
Yan Xu: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Jane Cabison: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Sandrah P. Eckel: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Tyler B. Mason: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Daniel Chu: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Nathana Lurvey: Eisner Health, Los Angeles, CA, USA
Deborah Lerner: Eisner Health, Los Angeles, CA, USA
Jill Johnston: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Theresa M. Bastain: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Shohreh F. Farzan: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Carrie V. Breton: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Genevieve F. Dunton: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Rima Habre: Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Spatial Sciences Institute, University of Southern California, Los Angeles, CA, USA

Journal volume & issue: Vol. 17
p. 100557

Abstract

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Background: Fine particulate matter (PM2.5) exposure is an important environmental risk for maternal and children's health, with peak exposures especially those derived from primary combustion hypothesized to pose greater risk. Identifying PM2.5 peaks and their contributions to personal exposure remains challenging. This study measured personal PM2.5 exposure, characterized primary combustion peaks, and investigated their determinants during and after pregnancy and among Hispanic women in Los Angeles, CA. Methods: Continuous personal PM2.5 exposure, Global Positioning System geolocation, and ecological momentary assessment surveys were collected from 63 women for 4 consecutive days in their 1st trimester, 3rd trimester and 4–6 months postpartum. Based on the shape of PM2.5 time-series, primary combustion peaks were identified, characterized (number, duration, area under the curve [AUC]), and linked with locations they occurred in. Zero-inflated generalized mixed-effect models were used to examine the spatial and temporal determinants of PM2.5 peak exposures. Results: A total of 490 PM2.5 peaks were identified from 618 person-days of monitoring. Spending an additional minute at parks and open spaces was related to smaller (AUC decreased 3.1 %, 95 % CI: 1.5 %–4.6 %) and shorter (duration decreased 1.7 %, 0.5 %–2.9 %) PM2.5 peak exposure. An additional minute in vehicular trips also related to smaller and shorter peak exposure (AUC and duration decreased 2.5 %, 1.2 %–3.7 % and 1.8 %, 1.0 %–2.6 %, respectively). However, an additional minute at industrial locations was associated with greater number (3.6 %, 2.0 %–5.2 %), AUC (1.6 %, 0.1 %–3.2 %) and duration (1.0 %, 0.0 %–2.1 %) of personal PM2.5 peak exposure. Conclusions: This study demonstrates the potential to statistically identify exposure to primary combustion PM2.5 peaks and understand their determinants from personal monitoring data. Results suggest that visits to parks and open spaces may minimize PM2.5 peak exposures, while visiting industrial locations may increase them in and around pregnancy.

Published in Environmental Advances

ISSN: 2666-7657 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Geography. Anthropology. Recreation: Environmental sciences
Website: https://www.journals.elsevier.com/environmental-advances

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