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GPS-derived environmental exposures during pregnancy and early postpartum - Evidence from the madres cohort.
Yi, Li; Xu, Yan; O'Connor, Sydney; Cabison, Jane; Rosales, Marisela; Chu, Daniel; Chavez, Thomas A; Johnson, Mark; Mason, Tyler B; Eckel, Sandrah P; Bastain, Theresa M; Breton, Carrie V; Wilson, John P; Dunton, Genevieve F; Habre, Rima.
Afiliação
  • Yi L; Spatial Sciences Institute, University of Southern California, United States of America. Electronic address: li_yi@hsph.harvard.edu.
  • Xu Y; Spatial Sciences Institute, University of Southern California, United States of America.
  • O'Connor S; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Cabison J; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Rosales M; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Chu D; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Chavez TA; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Johnson M; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Mason TB; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Eckel SP; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Bastain TM; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Breton CV; Department of Population and Public Health Sciences, University of Southern California, United States of America.
  • Wilson JP; Spatial Sciences Institute, University of Southern California, United States of America; Department of Population and Public Health Sciences, University of Southern California, United States of America; Departments of Civil & Environmental Engineering, Computer Science, and Sociology, University
  • Dunton GF; Department of Population and Public Health Sciences, University of Southern California, United States of America; Department of Psychology, University of Southern California, United States of America.
  • Habre R; Spatial Sciences Institute, University of Southern California, United States of America; Department of Population and Public Health Sciences, University of Southern California, United States of America.
Sci Total Environ ; 918: 170551, 2024 Mar 25.
Article em En | MEDLINE | ID: mdl-38336080
ABSTRACT
The built and natural environment factors (e.g., greenspace, walkability) are associated with maternal and infant health during and after pregnancy. Most pregnancy studies assess exposures to environmental factors via static methods (i.e., residential location at a single point in time, usually 3rd trimester). These do not capture dynamic exposures encountered in activity spaces (e.g., locations one visits and paths one travels) and their changes over time. In this study, we aimed to compare daily environmental exposure estimates using residential and global positioning systems (GPS)-measured activity space approaches and evaluated potential for exposure measurement error in the former. To do this, we collected four days of continuous geolocation monitoring during the 1st and 3rd trimesters of pregnancy and at 4-6 months postpartum in sixty-two pregnant Hispanic women enrolled in the MADRES cohort. We applied residential and GPS-based methods to assess daily exposures to greenspace, access to parks and transit, and walkability, respectively. We assessed potential for exposure measurement error in residential vs GPS-based estimates using Pearson correlations for each measure overall and by study period. We found residential and GPS-based estimates of daily exposure to total areas of parks and open spaces were weakly positively correlated (r = 0.31, P < .001) across pregnancy and postpartum periods. Residential estimates of %greenspace (r = 0.52, P < .001) and tree cover (r = 0.55, P < .001) along walkable roads were moderately correlated with GPS-based estimates. Residential and GPS-based estimates of public transit proximity, pedestrian-oriented intersection density, and walkability index score were all highly positively correlated (r > 0.70, P < .001). We also found associations between residential and GPS-based estimates decreased among participants with greater daily mobility. Our findings suggest the popular approach that assessing the built and natural environment exposures using residential methods at one time point may introduce exposure measurement error in pregnancy studies. GPS-based methods, to the extent feasible, are recommended for future studies.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Informação Geográfica / Exposição Ambiental Tipo de estudo: Risk_factors_studies Limite: Female / Humans / Infant / Pregnancy Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Informação Geográfica / Exposição Ambiental Tipo de estudo: Risk_factors_studies Limite: Female / Humans / Infant / Pregnancy Idioma: En Revista: Sci Total Environ Ano de publicação: 2024 Tipo de documento: Article