Examining the Impact of Individual Time-Activity Patterns in Real-Time on Personal PM2.5 Exposures of Low-income Hispanic Pregnant Women in Los Angeles, CA
Topics: Medical and Health Geography
, Geographic Information Science and Systems
,
Keywords: personal PM2.5 exposure, activity space, time-activity patterns
Session Type: Virtual Paper
Day: Friday
Session Start / End Time: 4/9/2021 09:35 AM (Pacific Time (US & Canada)) - 4/9/2021 10:50 AM (Pacific Time (US & Canada))
Room: Virtual 25
Authors:
Yan Xu, Spatial Sciences Institute, USC Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California
Li Yi, Spatial Sciences Institute, USC Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California
Jane Cabison, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
Karl O'Sharkey, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
Thomas Chavez, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
Fred Lurmann, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
Theresa Bastain, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
Carrie Breton, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
John Wilson, Spatial Sciences Institute, USC Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern California
Rima Habre, Dept. of Preventive Medicine, Keck School of Medicine, University of Southern California
Abstract
Previous studies have shown the adverse health impacts of air pollutants, such as PM2.5, in pregnancy, however, little work has been done to understand how women’s activity spaces and mobility patterns during pregnancy affect their personal exposures. Using 48-hour personal PM2.5 measurements and real-time geolocation measurements of 213 low-income, Hispanic pregnant women in Los Angeles who enrolled in the “Maternal And Developmental Risks from Environmental and Social Stressors (MADRES)” In-Utero Air Pollution Study, this research examines the relationships between personal PM2.5 measurements and individual time-activity patterns, personal behaviors and home environments. Further, it investigates the impacts of environmental characteristics within residential neighborhoods and personal activity spaces on personal PM2.5 exposures at individual level with fine resolution. The results show that the activity-space derived geospatial exposures are significantly different from the residential neighborhood exposures. The identified factors of residential neighborhood and activity space characteristics, personal behaviors, home environments, ambient air pollution and meteorological conditions at their residence can be used to explain the major variability in personal PM2.5 measurements among this population.
Examining the Impact of Individual Time-Activity Patterns in Real-Time on Personal PM2.5 Exposures of Low-income Hispanic Pregnant Women in Los Angeles, CA
Category
Virtual Paper
Description
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