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The impact of GPS-derived activity spaces on personal PM2.5 exposures in the MADRES cohort.
Xu, Yan; Yi, Li; Cabison, Jane; Rosales, Marisela; O'Sharkey, Karl; Chavez, Thomas A; Johnson, Mark; Lurmann, Frederick; Pavlovic, Nathan; Bastain, Theresa M; Breton, Carrie V; Wilson, John P; Habre, Rima.
Affiliation
  • Xu Y; Spatial Sciences Institute, University of Southern California, USA. Electronic address: yxu@usc.edu.
  • Yi L; Spatial Sciences Institute, University of Southern California, USA. Electronic address: liyi.1@usc.edu.
  • Cabison J; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: janequan@usc.edu.
  • Rosales M; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: rosa538@usc.edu.
  • O'Sharkey K; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: osharkey@usc.edu.
  • Chavez TA; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: tachavez@usc.edu.
  • Johnson M; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: markj939@usc.edu.
  • Lurmann F; Sonoma Technology, Inc., Petaluma, CA, USA. Electronic address: fred@sonomatech.com.
  • Pavlovic N; Sonoma Technology, Inc., Petaluma, CA, USA. Electronic address: npavlovic@sonomatech.com.
  • Bastain TM; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: bastain@usc.edu.
  • Breton CV; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: breton@usc.edu.
  • Wilson JP; Spatial Sciences Institute, University of Southern California, USA; Department of Population and Public Health Sciences, University of Southern California, USA; Department of Civil & Environmental Engineering, Computer Science, and Sociology, University of Southern California, USA. Electronic ad
  • Habre R; Spatial Sciences Institute, University of Southern California, USA; Department of Population and Public Health Sciences, University of Southern California, USA. Electronic address: habre@usc.edu.
Environ Res ; 214(Pt 2): 114029, 2022 11.
Article de En | MEDLINE | ID: mdl-35932832
ABSTRACT

BACKGROUND:

In-utero exposure to particulate matter with aerodynamic diameter less than 2.5 µm (PM2.5) is associated with low birth weight and health risks later in life. Pregnant women are mobile and locations they spend time in contribute to their personal PM2.5 exposures. Therefore, it is important to understand how mobility and exposures encountered within activity spaces contribute to personal PM2.5 exposures during pregnancy.

METHODS:

We collected 48-h integrated personal PM2.5 samples and continuous geolocation (GPS) data for 213 predominantly Hispanic/Latina pregnant women in their 3rd trimester in Los Angeles, CA. We also collected questionnaires and modeled outdoor air pollution and meteorology in their residential neighborhood. We calculated three GPS-derived activity space measures of exposure to road networks, greenness (NDVI), parks, traffic volume, walkability, and outdoor PM2.5 and temperature. We used bivariate analyses to screen variables (GPS-extracted exposures in activity spaces, individual characteristics, and residential neighborhood exposures) based on their relationship with personal, 48-h integrated PM2.5 concentrations. We then built a generalized linear model to explain the variability in personal PM2.5 exposure and identify key contributing factors.

RESULTS:

Indoor PM2.5 sources, parity, and home ventilation were significantly associated with personal exposure. Activity-space based exposure to roads was associated with significantly higher personal PM2.5 exposure, while greenness was associated with lower personal PM2.5 exposure (ß = -3.09 µg/m3 per SD increase in NDVI, p-value = 0.018). The contribution of outdoor PM2.5 to personal exposure was positive but relatively lower (ß = 2.05 µg/m3 per SD increase, p-value = 0.016) than exposures in activity spaces and the indoor environment. The final model explained 34% of the variability in personal PM2.5 concentrations.

CONCLUSIONS:

Our findings highlight the importance of activity spaces and the indoor environment on personal PM2.5 exposures of pregnant women living in Los Angeles, CA. This work also showcases the multiple, complex factors that contribute to total personal PM2.5 exposure.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Pollution de l'air intérieur / Polluants atmosphériques / Pollution de l'air Type d'étude: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Female / Humans / Pregnancy Langue: En Journal: Environ Res Année: 2022 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Pollution de l'air intérieur / Polluants atmosphériques / Pollution de l'air Type d'étude: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limites: Female / Humans / Pregnancy Langue: En Journal: Environ Res Année: 2022 Type de document: Article
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