Evidence map›Paper›PMID 29426025›Full record

ArticleEnvironmental research2018

A cross sectional study of urinary phthalates, phenols and perchlorate on thyroid hormones in US adults using structural equation models (NHANES 2007-2008).

Jennifer Przybyla, G John Geldhof, Ellen Smit, Molly L Kile

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  15. Bisphenols as Environmental Triggers of Thyroid Dysfunction: Clues and Evidence.International journal of environmental research and public health · 2020
    Review
  16. 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

4 authors at 1 institution in 1 country.

Jennifer PrzybylaSchool of Biological and Population Health, College of Public Health and Human Sciences, Corvallis, OR, USA. Electronic address: jennifer.przybyla@oregonstate.edu.
G John GeldhofSchool of Social and Behavioral Health Sciences, Human Development and Family Sciences, College of Public Health and Human Sciences, Corvallis, OR, USA.
Ellen SmitSchool of Biological and Population Health, College of Public Health and Human Sciences, Corvallis, OR, USA.
Molly L KileSchool of Biological and Population Health, College of Public Health and Human Sciences, Corvallis, OR, USA.
Corvallis Environmental Center · US

Funding

Reducing Susceptibility to Environmental Stress Throughout the Life SpanP30ES000210 · NIEHS · OREGON STATE UNIVERSITY · PI BECKMAN, JOSEPH S · 1985 to 2015
$21.4M
MODE OF ACTION OF ENVIRONMENTAL TOXICANTST32ES007060 · NIEHS · OREGON STATE UNIVERSITY · PI Jamie DeWitt, Siva Kumar Kolluri · 1985 to 2026
$11.6M
NIEHS NIH HHS P30 ES000210NIEHS NIH HHS T32 ES007060
6 · The paper itself

Abstract

backgroundBiomonitoring data shows that people are exposed to phthalates, phenols and perchlorates. Many of these compounds are endocrine disrupting compounds that affect thyroid hormone levels. Yet the effect of these compounds on thyroid hormone levels are often evaluated individually rather than as a mixture. Our objective was to examine the association between 11 urinary endocrine disrupting compounds and thyroid hormones using structural equation models.

methodsUsing data from the National Health and Nutrition and Examination Survey 2007-2008, we fit a latent variable utilizing urinary measurements of 9 compounds in females (perchlorate, bisphenol A, benzophenone-3, mono-2ethyl5carboxypentyl phthalate, mono-n-butyl phthalate, mono-(3-carboxypropyl) phthalate, mono(2ethyl5hydroxyhexyl) phthalate, mono-benzyl phthalate, and mono-isobutyl phthalate) and 8 compounds in males (without benzophenone-3). The association of the latent variable with serum thyroid hormones (Total T3, Total T4, and Thyroid Stimulating Hormones) was assessed in females (N = 710) and males (N = 850) over the age of 12 controlling for age, race, and urinary creatinine.

resultsIn males, urinary endocrine disrupting compound levels were negatively associated with thyroxine (β: -0.19, 95% Confidence Interval (95% CI): -0.31, -0.05). In females, urinary endocrine disrupting compound levels were positively associated with triiodothyronine serum concentrations (β: 0.09, 95% CI: -0.03, 0.21) however this association was not statistically significant.

conclusionsThis cross-sectional analysis provides additional evidence that environmental exposure to phthalates and phenols is associated with endocrine-related processes. Furthermore, these results suggested sex-specific differences in exposure to endocrine disrupting mixtures, and the exposure-response between endocrine disrupting mixtures and thyroid hormone levels. Specifically, higher exposure to a mixture of endocrine disrupting compounds was associated with lower levels of total T4 in males but not in females. While a structural methodological framework was used to assess these complex relationships, the cross sectional nature of this analysis limits causal inference and further research is needed to determine the clinical significance of these findings.

Indexed as

Environmental PollutantsPerchloratesPhthalic AcidsThyroid HormonesAdolescentAdultAgedChildCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPhenolsYoung AdultEnvironmental PollutantsperchloratePerchloratesPhenolsphthalic acidPhthalic AcidsThyroid HormonesEDCsEndocrine disrupting compoundsStructural equation modelingThyroid hormones

Identifiers

PMID29426025
PMCPMC6451439
OpenAlexW2792727079

What OpenQuestion holds

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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.