Evidence map›Paper›PMID 30666576›Full record

ArticleEnvironmental science and pollution research international2019

Co-exposure to environmental endocrine disruptors in the US population.

Lin Chen, Kai Luo, Ruth Etzel, Xiaoyu Zhang, Ying Tian, Jun Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 22 citations in OpenAlex.

  1. Association of Combined Per- and Polyfluoroalkyl Substances and Metals with Chronic Kidney Disease.International journal of environmental research and public health · 2024
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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

6 authors at 2 institutions in 2 countries.

Lin ChenMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.ORCID http://orcid.org/0000-0001-5905-7368
Kai LuoSchool of Public Health, Shanghai Jiao Tong University, Shanghai, China.
Ruth EtzelMilkin Institute School of Public Health, The George Washington University, Washington, DC, USA.
Xiaoyu ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Ying TianMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China.
Jun ZhangMinistry of Education-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, China. junjimzhang@sina.com.
Shanghai Jiao Tong University · CNMilken Institute · US

Funding

National Basic Science Research Program Ministry of Science and Technology of China 2014CB943300National Natural Science Foundation of China 81530086
6 · The paper itself

Abstract

Exposure to environmental endocrine disruptors (EEDs) has been linked to adverse health outcomes. The vast majority of studies examined one class of EEDs at a time but humans often are exposed to multiple EEDs at the same time. It is, therefore, important to know the co-exposure status of multiple EEDs in an individual, to preclude and control for potential confounding effects posed by co-exposed EEDs. This study examined the concentrations of seven classes of EEDs in the US population utilizing the data from the National Health and Nutrition Examination Survey (NHANES), 2009-2014 survey cycles. We applied linear correlation and cluster analysis to characterize the correlation profile and cluster patterns of these EEDs. We found that EEDs with a similar structure are often highly correlated. Among between-class correlations, mercury and perfluoroalkyl substances (PFAS) and cadmium and polycyclic aromatic hydrocarbons (PAHs) were two significantly correlated EEDs. In epidemiologic studies, measurement and control for co-exposure to pollutants, especially those with similar biological effects, are critical when attempting to make causal inferences. Appropriate statistical methods to handle within- and between-class correlations are needed.

Indexed as

Endocrine DisruptorsEnvironmental ExposureEnvironmental PollutantsEnvironmental PollutionHumansMercuryNutrition SurveysPolycyclic Aromatic HydrocarbonsUnited StatesEndocrine DisruptorsEnvironmental PollutantsMercuryPolycyclic Aromatic HydrocarbonsCadmiumCluster analysisCo-exposureCorrelationEnvironmental endocrine disruptorsMercuryNHANESPAHsPFAS

Identifiers

PMID30666576
OpenAlexW2912373178

What OpenQuestion holds

Textmetadata
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.