Evidence map›Paper›PMID 34896321›Full record

ArticleEnvironmental research2022

Predictors of urinary polycyclic aromatic hydrocarbon metabolites in girls from the San Francisco Bay Area.

Esther M John, Jocelyn Koo, Sue A Ingles, Theresa H Keegan, Jenny T Nguyen, Catherine Thomsen, Mary Beth Terry, Regina M Santella, Khue Nguyen, Beizhan Yan

Abstract read
In one paragraph

Article in Environmental research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. 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

10 authors.

Esther M JohnDepartment of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA, USA; Department of Medicine (Oncology), Stanford University School of Medicine, Stanford, CA, USA; Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA. Electronic address: emjohn@stanford.edu.
Jocelyn KooStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Sue A InglesDepartment of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA.
Theresa H KeeganDivision of Hematology and Oncology, UC Davis Comprehensive Cancer Center, University of California, Davis, CA, USA.
Jenny T NguyenStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Catherine ThomsenZero Breast Cancer, San Rafael, CA, USA.
Mary Beth TerryDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.
Regina M SantellaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.
Khue NguyenLamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA.
Beizhan YanLamont Doherty Earth Observatory, Columbia University, Palisades, NY, USA.

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
LEGACY: A Cohort of Youth in Families from the Breast Cancer Family RegistryR01CA138638 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI JOHN, ESTHER M. · 2011 to 2015
$3.6M
NCI NIH HHS R01 CA138638NIEHS NIH HHS P30 ES009089
6 · The paper itself

Abstract

backgroundPolycyclic aromatic hydrocarbon (PAH) exposures from tobacco smoke, automobile exhaust, grilled or smoked meat and other sources are widespread and are a public health concern, as many are classified as probable carcinogens and suspected endocrine-disrupting chemicals. PAH exposures can be quantified using urinary biomarkers.

methodsSeven urinary metabolites of naphthalene, fluorene, phenanthrene, and pyrene were measured in two samples collected from girls aged 6-16 years from the San Francisco Bay Area. We used Spearman correlation coefficients (SCC) to assess correlations among metabolite concentrations (corrected for specific gravity) separately in first (n = 359) and last (N = 349) samples, and to assess consistency of measurements in samples collected up to 72 months apart. Using multivariable linear regression, we assessed variation in mean metabolites across categories of participant characteristics and potential outdoor, indoor, and dietary sources of PAH exposures.

resultsThe detection rate of PAH metabolites was high (4 metabolites in ≥98% of first samples; 5 metabolites in ≥95% of last samples). Correlations were moderate to strong between fluorene, phenanthrene and pyrene metabolites (SCC 0.43-0.82), but weaker between naphthalene and the other metabolites (SCC 0.18-0.36). SCC between metabolites in first and last samples ranged from 0.15 to 0.49. When classifying metabolite concentrations into tertiles based on single samples (first or last samples) vs. the average of the two samples, agreement was moderate to substantial (weighted kappa statistics 0.52-0.65). For specific metabolites, concentrations varied by age, race/ethnicity, and body mass index percentile, as well as by outdoor sources (season of sample collection, street traffic), indoor sources (heating with gas, cigarette smoke), and dietary sources (frequent use of grill, consumption of smoked meat or fish) of PAH exposures.

conclusionsUrinary PAH exposure was widespread in girls aged 6-16 years and associated with several sources of exposure. Tertile classification of a single urine sample provides reliable PAH exposure ranking.

Indexed as

Polycyclic Aromatic HydrocarbonsBiomarkersCarcinogensEnvironmental MonitoringHumansSan FranciscoVehicle EmissionsBiomarkersCarcinogensPolycyclic Aromatic HydrocarbonsVehicle EmissionsBiomarkersChildrenEpidemiologyPolycyclic aromatic hydrocarbons (PAHs)Urinary metabolites

Identifiers

PMID34896321
PMCPMC8823666

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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.