Evidence map›Paper›PMID 24301353›Full record

ArticleJournal of exposure science & environmental epidemiology

Using a biokinetic model to quantify and optimize cortisol measurements for acute and chronic environmental stress exposure during pregnancy.

Marissa N Smith, William C Griffith, Shirley A A Beresford, Melinda Vredevoogd, Eric M Vigoren, Elaine M Faustman

Open access · bronzeAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 1 institution in 1 country.

Marissa N SmithInstitute for Risk Analysis and Risk Communication, University of Washington, Seattle, Washington, USA.
William C GriffithInstitute for Risk Analysis and Risk Communication, University of Washington, Seattle, Washington, USA.
Shirley A A Beresford1] Department of Epidemiology, University of Washington, Seattle, WA, USA [2] Northwest Center for the National Children's Study, University of Washington, Seattle, Washington, USA [3] Cancer Epidemiology, Prevention and Control, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Melinda Vredevoogd1] Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, Washington, USA [2] Northwest Center for the National Children's Study, University of Washington, Seattle, Washington, USA.
Eric M Vigoren1] Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, Washington, USA [2] Northwest Center for the National Children's Study, University of Washington, Seattle, Washington, USA.
Elaine M Faustman1] Institute for Risk Analysis and Risk Communication, University of Washington, Seattle, Washington, USA [2] Northwest Center for the National Children's Study, University of Washington, Seattle, Washington, USA.
University of Washington · US

Funding

STUDY OF CELLULAR &MOLECULAR ASPECTS OF PESTICIDE NEURODEVELOPMENTAL TOXICITYP01ES009601 · NIEHS · UNIVERSITY OF WASHINGTON · PI THOMPSON, ENGELBERTA · 1999 to 2013
$8.7M
Environmental Health Research Experience ProgramR25ES021646 · NIEHS · UNIVERSITY OF WASHINGTON · PI BUSCH ISAKSEN, TANIA · 2012 to 2016
$297k
NIEHS NIH HHS 5P01 ES009601NIEHS NIH HHS 5R25ES021646ORD VA RD832733ORD VA RD83451401
6 · The paper itself

Abstract

To fully understand the potentially harmful effects of prenatal stress exposure impacts, it is necessary to quantify long-term and episodic stress exposure during pregnancy. There is a strong body of research relating psychological stress to elevated cortisol levels in biomarkers. Recently, maternal hair has been used to measure cortisol levels, and provides the unique opportunity to assess stress exposure throughout gestation. Understanding how cortisol in the hair is related to more common biomarkers, such as, blood, saliva and urine is currently lacking. Therefore, we developed a biokinetic model to quantify the relationships between hair, blood, saliva and urine cortisol concentrations using published literature values. Hair concentrations were used to retrospectively predict peaks in blood and saliva concentrations over days and months. Simulations showed realistic values in all compartments when results were compared with published literature. We also showed that the significant variability of cortisol in blood leads to a weak relationship between long-term and episodic measurements of stress. To our knowledge, this is the first integrative biokinetic cortisol model for blood, urine, hair and saliva. As such, it makes an important contribution to our understanding of cortisol as a biomarker and will be useful for future epidemiological studies.

Indexed as

Environmental ExposureModels, BiologicalBiomarkersChronic DiseaseFemaleHairHumansHydrocortisonePregnancyPregnancy ComplicationsRetrospective StudiesStress, PhysiologicalBiomarkersHydrocortisone

Identifiers

PMID24301353
OpenAlexW1997692464

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.