Evidence map›Paper›PMID 34453244›Full record

ArticleEnvironmental science and pollution research international2022

Levels of urinary metabolites of benzene compounds, trichloroethylene, and polycyclic aromatic hydrocarbons and their correlations with socioeconomic, demographic, dietary factors among pregnant women in six cities of China.

Jing Zhu, Xuan Zhao, Mi Yang, Bo Zheng, Chengjun Sun, Xiaoli Zou, Zhen Liu, Kouji H Harada

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

Jing ZhuSanitary Technology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Xuan ZhaoSanitary Technology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Mi YangSanitary Technology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Bo ZhengSanitary Technology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Chengjun SunSanitary Technology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
Xiaoli ZouSanitary Technology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China. zouxl_1113@163.com.ORCID http://orcid.org/0000-0002-9657-189X
Zhen LiuNational Center for Birth Defect Monitoring, West China Second Hospital, Sichuan University, Chengdu, China. 95500969@qq.com.
Kouji H HaradaDepartment of Health and Environmental Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan. harada.koji.3w@kyoto-u.ac.jp.
Sichuan University · CNKyoto University · JP

Funding

Key Project of Sichuan Province Science and Technology 2020YFS0056National Key Technologies R&D program of the Ministry of Science and Technology of China 2017YFC1600206
6 · The paper itself

Abstract

Maternal exposure to benzene and related compounds, trichloroethylene, and polycyclic aromatic hydrocarbons has been suggested as risk factors for reproductive and developmental problem. In different countries and groups, there are differences in socioeconomic circumstances, consumer products, dietary habits, lifestyles, and so on, resulting in different exposure risks from these chemicals. This study investigated the correlation between their metabolite concentrations and socioeconomic, demographic, and dietary factors to explore the possible exposure source of the concerned pollutants in pregnant women. We conducted biological monitoring to assess the exposure of these chemicals using urine samples from 590 to 639 pregnant women during 2nd or 3rd trimester of pregnancy in six cities of China. Socioeconomic and demographic characteristics and dietary habits were collected from questionnaires. The detection rate was over 74% of the urine samples for all metabolites. Compared with the Fourth National Report on Human Exposure to Environmental Chemical concentrations for females (FNRHEEC, the US Centers for Disease Control and Prevention), the metabolite concentrations of benzene compounds and trichloroethylene, excluding MA reported here, were higher. Principal component analysis results showed that SBMA and MHA could be proxy of the principal sources of metabolites for benzene compounds. The concentrations of SBMA and MA were higher in Fuzhou and Wuhan, respectively. The concentration of DCVMA was higher in Shenzhen, Xi'an, and Nanning, and the concentration of PGA was higher in Fuzhou, Wuhan, and Xi'an. Also, the 1-OHPG concentration in Wuhan is higher than that in Fuzhou and Shenzhen. Unhealthy dietary habits, using cosmetics and indoor exposure, contacting chemical solvent during pregnancy were associated with increased benzene compounds, trichloroethylene, and PAH exposure. There were significant positive associations between 1-OHPG level and maternal BMI, low education status, and cooking without a range hood. Pregnant women in China may be at a greater risk of exposure to most of the target compounds than US females, and their exposure levels varied in different regions. Some adverse environmental and behavioral factors may increase the exposure of environmental toxins, which can urge people to take measures to reduce the health risk to pregnant women during pregnancy.

Indexed as

Polycyclic Aromatic HydrocarbonsTrichloroethyleneBenzeneChinaCitiesDemographyEnvironmental MonitoringFemaleHumansPregnancyPregnant PeopleSocioeconomic FactorsBenzenePolycyclic Aromatic HydrocarbonsTrichloroethyleneBenzene compoundsExposurePolycyclic aromatic hydrocarbonsPregnant womenTrichloroethyleneUrine

Identifiers

PMID34453244
OpenAlexW3194900245

What OpenQuestion holds

Textmetadata
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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.