Evidence map›Paper›PMID 35691658›Full record

ArticleSpatial and spatio-temporal epidemiology2022

Time-activity and daily mobility patterns during pregnancy and early postpartum - evidence from the MADRES cohort.

Li Yi, Yan Xu, Sandrah P Eckel, Sydney O'Connor, Jane Cabison, Marisela Rosales, Daniel Chu, Thomas A Chavez, Mark Johnson, Tyler B Mason and 5 more

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A review of geospatial exposure models and approaches for health data integration.Journal of exposure science & environmental epidemiology · 2025
    Review
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Li YiSpatial Sciences Institute, University of Southern California, United States.
Yan XuSpatial Sciences Institute, University of Southern California, United States.
Sandrah P EckelDepartment of Population and Public Health Sciences, University of Southern California, United States.
Sydney O'ConnorDepartment of Population and Public Health Sciences, University of Southern California, United States.
Jane CabisonDepartment of Population and Public Health Sciences, University of Southern California, United States.
Marisela RosalesDepartment of Population and Public Health Sciences, University of Southern California, United States.
Daniel ChuDepartment of Population and Public Health Sciences, University of Southern California, United States.
Thomas A ChavezDepartment of Population and Public Health Sciences, University of Southern California, United States.
Mark JohnsonDepartment of Population and Public Health Sciences, University of Southern California, United States.
Tyler B MasonDepartment of Population and Public Health Sciences, University of Southern California, United States.
Theresa M BastainDepartment of Population and Public Health Sciences, University of Southern California, United States.
Carrie V BretonDepartment of Population and Public Health Sciences, University of Southern California, United States.
Genevieve F DuntonDepartment of Population and Public Health Sciences, University of Southern California, United States; Department of Psychology, University of Southern California, United States.
John P WilsonSpatial Sciences Institute, University of Southern California, United States; Department of Population and Public Health Sciences, University of Southern California, United States; Departments of Civil & Environmental Engineering, Computer Science and Sociology, University of Southern California, United States.
Rima HabreSpatial Sciences Institute, University of Southern California, United States; Department of Population and Public Health Sciences, University of Southern California, United States. Electronic address: habre@usc.edu.

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Project 3: Maternal Exposure to Environmental Hazards and Psychosocial Stressors and Postpartum Allostatic LoadP50MD015705 · NIMHD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M · 2020 to 2024
$8.1M
Project 2: Environmental Exposures, Stress, and Maternal Pregnancy-Related Weight OutcomesP50ES026086 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BASTAIN, THERESA M · 2015 to 2019
$3.7M
Prenatal air pollution, fetal development and early childhood obesity riskR01ES027409 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRETON, CARRIE VAN DOREN · 2018 to 2022
$3.3M
NCATS NIH HHS UL1 TR001855NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P50 ES026086NIEHS NIH HHS R01 ES027409NIMHD NIH HHS P50 MD015705
6 · The paper itself

Abstract

introductionPregnant women's daily time-activity and mobility patterns determine their environmental exposures and subsequently related health effects. Most studies ignore these and assess pregnancy exposures using static residential measures.

methodsWe conducted 4-day continuous geo-location monitoring in 62 pregnant Hispanic women, during pregnancy and early post-partum then derived trips by mode and stays, classified by context (indoor/outdoor, type). Generalized mixed-effect models were used to examine whether these patterns changed over time.

resultsWomen spent on average 17.3 h/day at home. Commercial and service locations were the most popular non-home destinations, while parks and open spaces were seldom visited. Women made 3.5 daily trips (63.7 min/day and approximately 25% were pedestrian-based). Women were less likely to visit commercial and services locations and make vehicle-based trips postpartum compared to the 3

conclusionOur findings suggest time-activity patterns vary across pregnancy and postpartum, thus assessing exposures at stationary locations might introduce measurement error.

Indexed as

Environmental ExposurePostpartum PeriodCohort StudiesFemaleHumansPregnancyDaily mobilityExposure assessmentGlobal positioning systemsPregnancyTime-activity

Identifiers

PMID35691658
PMCPMC9198358

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.