ArticleThe Science of the total environment2018
Maternal exposure to PM
Abstract read
In one paragraph
Article in The Science of the total environment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 15% of its field
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.
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.
Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- The Association Between Personal Air Pollution Exposures and Fractional Exhaled Nitric Oxide (FeNO): A Systematic Review.Current environmental health reports · 2024Pooled it
- Comparing human exposure to fine particulate matter in low and high-income countries: A systematic review of studies measuring personal PMThe Science of the total environment · 2022Pooled it
- Indoor Air Pollution and the Health of Vulnerable Groups: A Systematic Review Focused on Particulate Matter (PM), Volatile Organic Compounds (VOCs) and Their Effects on Children and People with Pre-Existing Lung Disease.International journal of environmental research and public health · 2022Pooled it
- Exploring the relationship between traffic, speed, and personal in-vehicle noise exposure during commutes.Transportation research interdisciplinary perspectives · 2026Article
- Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PMEnvironmental research · 2025Article
- Efficient field correction of low-cost particulate matter sensors using machine learning, mixed multiplicative/additive scaling and extended calibration inputs.Scientific reports · 2025Article
- Variability in personal exposure to ultrafine and fine particles by microenvironment among adolescents in Cincinnati.The Science of the total environment · 2024Article
- Spatial and temporal determinants of particulate matter peak exposures during pregnancy and early postpartum.Environmental advances · 2024Article
- Identifying optimal co-location calibration periods for low-cost sensors.Atmospheric measurement techniques · 2023Article
- The impact of GPS-derived activity spaces on personal PMEnvironmental research · 2022Article
- Maternal exposure to polycyclic aromatic hydrocarbons in South Texas, evaluation of silicone wristbands as personal passive samplers.Journal of exposure science & environmental epidemiology · 2022Article
- Design and Testing of a Low-Cost Sensor and Sampling Platform for Indoor Air Quality.Building and environment · 2021Article
- Concentrations, Source Characteristics, and Health Risk Assessment of Toxic Heavy Metals in PMInternational journal of environmental research and public health · 2021Article
- Statistical field calibration of a low-cost PMAtmospheric environment (Oxford, England : 1994) · 2020Article
- One Year Evaluation of Three Low-Cost PMAtmospheric environment (Oxford, England : 1994) · 2020Article
- Near-Road Traffic-Related Air Pollution: Resuspended PMInternational journal of environmental research and public health · 2020Article
- Assessment of Traffic-Related Air Pollution: Case Study of Pregnant Women in South Texas.International journal of environmental research and public health · 2019Article
- The Fort Collins commuter study: Variability in personal exposure to air pollutants by microenvironment.Indoor air · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 6 institutions in 2 countries.
Misti Levy ZamoraDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States. Electronic address: Misti.Levy.Zamora@jhu.edu.
Jairus C PulczinskiDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States; Department of Environmental and Occupational Health, Texas A&M University School of Public Health, 1266 TAMU, College Station, TX 77843, United States. Electronic address: JPulczinski@sph.tamhsc.edu.
Natalie JohnsonDepartment of Environmental and Occupational Health, Texas A&M University School of Public Health, 1266 TAMU, College Station, TX 77843, United States. Electronic address: natalie.johnson@sph.tamhsc.edu.
Rosa Garcia-HernandezDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States. Electronic address: regh@umich.edu.
Ana RuleDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States. Electronic address: arule1@jhu.edu.
Genny CarrilloDepartment of Environmental and Occupational Health, Texas A&M University School of Public Health, 1266 TAMU, College Station, TX 77843, United States. Electronic address: gcarrillo@sph.tamhsc.edu.
Josias ZietsmanEnvironment and Air Quality Division, Texas A&M Transportation Institute, 3135 TAMU, College Station, TX 77843, United States. Electronic address: zietsman@tamu.edu.
Brenda SandragorsianDepartment of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, 2101 S. McColl Road, McAllen, TX 78503, United States. Electronic address: bsandragorsian@sph.tamhsc.edu.
Suriya VallamsundarEnvironment and Air Quality Division, Texas A&M Transportation Institute, 9441 LBJ Freeway, Dallas, TX 75243, United States. Electronic address: s-vallamsundar@tti.tamu.edu.
Mohammad H AskariyehEnvironment and Air Quality Division, Texas A&M Transportation Institute, 3135 TAMU, College Station, TX 77843, United States; Zachry Department of Civil Engineering, Texas A&M University, College Station, TX 77843-3136, United States. Electronic address: mh.askariyeh@tamu.edu.
Kirsten KoehlerDepartment of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD 21205, United States. Electronic address: kkoehle1@jhu.edu.
Johns Hopkins University · USTexas A&M University · USBangladesh University · BDTexas A&M Health Science Center · USTexas A&M University System · USTexas Department of Transportation · US
Funding
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1MShort-Term Training Program to Increase Diversity in Health-Related ResearchR25HL084762 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI DAMARLA, MAHENDRA, SHIMODA, LARISSA A. · 2006 to 2024
$2.1MNCATS NIH HHS UL1 TR001079NHLBI NIH HHS R25 HL084762
Abstract
In this study, we characterized personal exposure to fine particulate matter (PM
Indexed as
Environmental MonitoringAdultAir PollutantsAir PollutionFemaleHumansMaternal ExposureParticulate MatterPilot ProjectsTexasAir PollutantsParticulate MatterAir pollutionBlack carbonIndoor air pollutionMicroenvironmentsNicotinePM(2.5)
Identifiers
What OpenQuestion holds
Textmetadata
LicenceTDM
Read underepoch 390
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.