Evidence map›Paper›PMID 34215981›Full record

ArticleEnvironmental science and pollution research international2021

Association of maternal exposure to bisphenol A with her β-hCG level and neonatal anthropometric measures.

Mohammad Mehdi Amin, Zahra Ghasemi, Mehri Khoshhali, Ensiyeh Taheri, Bahare Dehdashti, Ali Fatehizadeh, Nasim Rafiei, Roya Kelishadi

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Article in Environmental science and pollution research international, 2021. 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
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 1 institution in 1 country.

Mohammad Mehdi AminDepartment of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Zahra GhasemiDepartment of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran. zahra.ghasemi93@yahoo.com.ORCID http://orcid.org/0000-0003-0212-3525
Mehri KhoshhaliDepartment of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Ensiyeh TaheriDepartment of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Bahare DehdashtiDepartment of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Ali FatehizadehDepartment of Environmental Health Engineering, School of Health, Isfahan University of Medical Sciences, Isfahan, Iran.
Nasim RafieiEnvironment Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Roya KelishadiDepartment of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Isfahan University of Medical Sciences · IR

Funding

Isfahan University of Medical Sciences 298144
6 · The paper itself

Abstract

Bisphenol A (BPA) is one of the organic compounds that might interfere with estrogenic receptors, which would make difficulties in pregnancy hormones and fetal growth. Human chorionic gonadotropin (β-hCG) is one of the important pregnancy hormones that might be affected by environmental pollutants. The aim of this study is to investigate the probable impacts of maternal exposure to BPA on anthropometric measures of newborns. This cross-sectional study was conducted in 2019-2020 in Isfahan, Iran. During the first trimester of pregnancy, we measured the urinary BPA concentration and serum β-hCG level of 120 pregnant women, who were randomly selected from participants of a birth cohort. BPA concentration was measured using gas chromatography-mass spectrometry (GC-MS). Serum blood sample was derived and used for β-hCG analysis. Anthropometric measurement of neonates was conducted at the time of birth. BPA and β-hCG level were grouped by quartiles, and their associations with birth weight, height, and head circumference were tested using multiple linear regression model. The adjustment was done for urine creatinine, gender, and gestational age, as well as maternal age, body mass index, and education level. Data of 119 pairs of mothers and infants were available for the present study. The mean (SD) age of mothers was 29.19 (5.75) years; 56.3% of newborns were boys. Geometric mean of urinary BPA and β-hCG concentrations were 0.36 ng/g crea. (creatinine) and 17736 mIU/ml, respectively. Across the BPA tertiles, the differences in mean values were not significant for none of the anthropometric measurements and gestational age (GA). Furthermore, no significant association existed between unadjusted and adjusted tertiles of BPA and β-hCG with abovementioned birth outcomes. It seems that the non-significant association found in this study is because of low levels of urinary BPA levels than in other studies; the adverse effects on infants might be related to high concentration of BPA passed from placenta. Future longitudinal studies with large sample size are necessary to document the adverse health effects of maternal exposure to endocrine disruptor chemicals including BPA.

Indexed as

Benzhydryl CompoundsMaternal ExposureAdultBisphenol A CompoundsCross-Sectional StudiesFemaleHumansInfantInfant, NewbornMalePhenolsPregnancyBenzhydryl Compoundsbisphenol ABisphenol A CompoundsPhenolsAnthropometryBisphenol AFetusHCG-betaUrine

Identifiers

PMID34215981
OpenAlexW3174323448

What OpenQuestion holds

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Registered trials

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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.