Evidence map›Paper›PMID 38365736›Full record

ArticleEnvironmental health : a global access science source2024

Association between prenatal exposure to alkylphenols and intelligence quotient among preschool children: sex-specific effects.

Jinghua Long, Jun Liang, Tao Liu, Huishen Huang, Jiehua Chen, Qian Liao, Lixiang Pang, Kaiqi Yang, Manlin Chen, Qian Chen and 5 more

Open access · goldAbstract read
In one paragraph

Article in Environmental health : a global access science source, 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
1.6field-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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

15 authors at 3 institutions in 1 country.

Jinghua Long *Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Jun Liang *Department of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Tao Liu *Huaihua Center for Disease Control and Prevention, Huaihua, 418000, Hunan, China.
Huishen HuangDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Jiehua ChenDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Qian LiaoDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Lixiang PangDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Kaiqi YangDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Manlin ChenDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Qian ChenDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Xiaorong HuangDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Qihua ZhuDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Xiaoyun ZengDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China.
Dongping HuangDepartment of Sanitary Chemistry, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. dongpinghuang@gxmu.edu.cn.
Xiaoqiang QiuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University, No. 22 Shuangyong Road, Nanning, 530021, Guangxi, China. xqqiu9999@163.com.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNHuaihua University · CN

Funding

Guangxi Key Research Program AB17195012National Natural Science Foundation of China 81860587
6 · The paper itself

Abstract

backgroundWhile prenatal exposure to alkylphenols (APs) has been demonstrated to be associated with neurodevelopmental impairments in animals, the evidence from epidemiological studies remains limited and inconclusive. This study aimed to explore the link between AP exposure during pregnancy and the intelligence quotient (IQ) of preschool children.

methodsA total of 221 mother-child pairs from the Guangxi Zhuang Birth Cohort were recruited. Nonylphenol (NP), 4-tert-octylphenol (4-T-OP), 4-n-nonylphenol (4-N-NP), and 4-n-octylphenol were measured in maternal serum in early pregnancy. Childhood IQ was evaluated by the Fourth Edition of Wechsler Preschool and Primary Scale of the Intelligence at 3 to 6 years of age. The impact of APs on childhood IQ were evaluated by generalized linear models (GLMs), restricted cubic spline (RCS), and Bayesian kernel machine regression (BKMR).

resultsIn GLMs, prenatal exposure to NP and the second tertile of 4-T-OP exhibited an inverse association with full-scale IQ (FSIQ) (β = -2.38; 95% CI: -4.59, -0.16) and working memory index (WMI) (β = -5.24; 95% CI: -9.58, -0.89), respectively. Prenatal exposure to the third tertile of 4-N-NP showed a positive association with the fluid reasoning index (β = 4.95; 95% CI: 1.14, 8.77) in total children, as well as in girls when stratified by sex. A U-shaped relationship between maternal 4-T-OP and WMI was noted in total children and girls by RCS (all P nonlinear < 0.05). The combined effect primarily driven by NP, of maternal AP mixtures at concentrations above the 50th percentile exhibited an inverse trend on FSIQ in total children and girls in BKMR.

conclusionsPrenatal exposure to various APs affects IQ in preschool children, and there may be nonmonotonic and sex-specific effects. Further investigation across the population is required to elucidate the potential neurotoxic effects of APs.

Indexed as

PhenolsPrenatal Exposure Delayed EffectsBayes TheoremChildChild, PreschoolChinaFemaleHumansIntelligenceIntelligence TestsMalePregnancy4-nonylphenolnonylphenolPhenolsAlkylphenolsIntelligence quotientPrenatalPreschool childrenSex-specificity

Identifiers

PMID38365736
PMCPMC10870542
OpenAlexW4391881363

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.