Evidence map›Paper›PMID 37846518›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2024

A Comparison of Measured Airborne and Self-Reported Secondhand Smoke Exposure in the MADRES Pregnancy Cohort Study.

Karl O'Sharkey, Yan Xu, Jane Cabison, Marisela Rosales, Thomas Chavez, Mark Johnson, Tingyu Yang, Seung-Hyun Cho, Ryan Chartier, Deborah Lerner and 8 more

Open access · hybridAbstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% of its field
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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Comparison of prenatal self-report of tobacco use to direct measurement of umbilical cord cotinine.Journal of perinatology : official journal of the California Perinatal Association · 2026
    Article
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

18 authors at 2 institutions in 2 countries.

Karl O'SharkeyDepartment of Epidemiology, University of California, Los Angeles, Los Angeles, CA, USA.
Yan XuSpatial Sciences Institute, University of Southern California, Los Angeles, CA, USA.
Jane CabisonDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Marisela RosalesDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Thomas ChavezDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Mark JohnsonDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Tingyu YangDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-2438-9159
Seung-Hyun ChoResearch Triangle Institute, Research Triangle Park, NC, USA.
Ryan ChartierResearch Triangle Institute, Research Triangle Park, NC, USA.
Deborah LernerEisner Health, Los Angeles, CA, USA.
Nathana LurveyEisner Health, Los Angeles, CA, USA.
Claudia M Toledo CorralDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Myles CockburnDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Meredith FranklinDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-3802-8829
Shohreh F FarzanDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Theresa M BastainDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
Carrie V BretonDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-6082-4066
Rima HabreDepartment of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
University of Southern California · USRTI International · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Joseph Leo Wiemels · 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 FARZAN, SHOHREH F · 2020 to 2024
$8.1M
Project 2: Environmental Exposures, Stress, and Maternal Pregnancy-Related Weight OutcomesP50ES026086 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HABRE, RIMA · 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
MADRES Center P50ES026086NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P50 ES026086NIEHS NIH HHS R01 ES027409NIEHS NIH HHS R01ES027409NIMHD NIH HHS P50 MD015705
6 · The paper itself

Abstract

introductionSecondhand smoke (SHS) exposure during pregnancy is linked to adverse birth outcomes, such as low birth weight and preterm birth. While questionnaires are commonly used to assess SHS exposure, their ability to capture true exposure can vary, making it difficult for researchers to harmonize SHS measures. This study aimed to compare self-reported SHS exposure with measurements of airborne SHS in personal samples of pregnant women.

methodsSHS was measured on 48-hour integrated personal PM2.5 Teflon filters collected from 204 pregnant women, and self-reported SHS exposure measures were obtained via questionnaires. Descriptive statistics were calculated for airborne SHS measures, and analysis of variance tests assessed group differences in airborne SHS concentrations by self-reported SHS exposure.

resultsParticipants were 81% Hispanic, with a mean (standard deviation [SD]) age of 28.2 (6.0) years. Geometric mean (SD) personal airborne SHS concentrations were 0.14 (9.41) µg/m3. Participants reporting lower education have significantly higher airborne SHS exposure (p = .015). Mean airborne SHS concentrations were greater in those reporting longer duration with windows open in the home. There was no association between airborne SHS and self-reported SHS exposure; however, asking about the number of smokers nearby in the 48-hour monitoring period was most correlated with measured airborne SHS (Two + smokers: 0.30 µg/m3 vs. One: 0.12 µg/m3 and Zero: 0.15 µg/m3; p = .230).

conclusionsSelf-reported SHS exposure was not associated with measured airborne SHS in personal PM2.5 samples. This suggests exposure misclassification using SHS questionnaires and the need for harmonized and validated questions to characterize this exposure in health studies. IMPLICATIONS: This study adds to the growing body of evidence that measurement error is a major concern in pregnancy research, particularly in studies that rely on self-report questionnaires to measure SHS exposure. The study introduces an alternative method of SHS exposure assessment using objective optical measurements, which can help improve the accuracy of exposure assessment. The findings emphasize the importance of using harmonized and validated SHS questionnaires in pregnancy health research to avoid biased effect estimates. This study can inform future research, practice, and policy development to reduce SHS exposure and its adverse health effects.

Indexed as

Self ReportTobacco Smoke PollutionAdultCohort StudiesEnvironmental ExposureFemaleHumansMaternal ExposureParticulate MatterPregnancySurveys and QuestionnairesYoung AdultParticulate MatterTobacco Smoke Pollution

Identifiers

PMID37846518
PMCPMC11109487
OpenAlexW4387692478

What OpenQuestion holds

Textmetadata
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.