Evidence map›Paper›PMID 32402980›Full record

ArticleEnvironment international2020

Different temporal trends of exposure to Bisphenol A among international travelers between Los Angeles and Beijing.

Yan Lin, Xinghua Qiu, Jinming Liu, Chi-Hong Tseng, Patrick Allard, Jesus A Araujo, Yifang Zhu

Open access · goldAbstract read
In one paragraph

Article in Environment international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 20% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  6. Review
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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

7 authors at 2 institutions in 2 countries.

Yan LinDepartment of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, United States.
Xinghua QiuState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, PR China. Electronic address: xhqiu@pku.edu.cn.
Jinming LiuState Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, PR China.
Chi-Hong TsengDivision of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, United States.
Patrick AllardInstitute for Society and Genetics, University of California, Los Angeles, Los Angeles, CA 90095, United States.
Jesus A AraujoDepartment of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, United States; Division of Cardiology, Department of Medicine, David Geffen School of Medicine at University of California Los Angeles, Los Angeles, CA 90095, United States.
Yifang ZhuDepartment of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA 90095, United States. Electronic address: yifang@ucla.edu.
University of California, Los Angeles · USState Key Joint Laboratory of Environment Simulation and Pollution Control · CN

Funding

Mechanisms of memory of environmental exposure: determining the role of histone modifications in regulating transgenerational behavior effects caused by environmental chemical exposure.R01ES027487 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALLARD, PATRICK · 2017 to 2021
$1.8M
Air Pollution and Cardiovascular Diseases: Identification of Novel BiomarkersR21ES024560 · NIEHS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARAUJO, JESUS ANTONIO, ZHU, YIFANG · 2015 to 2016
$424k
NIEHS NIH HHS R01 ES027487NIEHS NIH HHS R21 ES024560
6 · The paper itself

Abstract

Recent studies suggested a significant downward trend in population's exposure to bisphenol A (BPA) in the United States. However, the temporal trend of BPA exposure remains unclear in China - a populous country with substantial industrial activities but less efforts made to phase out BPA in consumer products. In addition, it is unclear to what extent a visit from the United States to China could affect human exposure to BPA. In this natural experiment, we measured the concentration of total BPA in 418 urine samples repeatedly collected from 55 Los Angeles residents before, during, and after they spent 10 weeks in Beijing from 2012 to 2017. We found that traveling from Los Angeles to Beijing led to a 2.91-fold (95% CI: 2.43 to 3.50) increase in urinary BPA levels, which fully returned to baseline after study participants came back to Los Angeles. From 2012 to 2017, urinary BPA concentrations decreased in Los Angeles by 25.5% per year (95% CI: -30.8% to -19.8%; p < 0.001) but did not change in Beijing (p = 0.24). Consequently, the concentration ratio of urinary BPA between Beijing and Los Angeles increased from 1.23 (95% CI: 0.82 to 1.85) in 2012 to 4.05 (95% CI: 2.75 to 5.97) in 2017. These results indicate that BPA exposures may increase among international travelers to China. Additional efforts are needed to reduce population's exposure to BPA in China.

Indexed as

Benzhydryl CompoundsBeijingBisphenol A CompoundsChinaHumansLos AngelesPhenolsUnited StatesBenzhydryl Compoundsbisphenol ABisphenol A CompoundsPhenolsBiomarkerBisphenol A (BPA)ExposureRegulatory policyTemporal trend

Identifiers

PMID32402980
PMCPMC7283011
OpenAlexW3021568610

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.