Evidence map›Paper›PMID 20978689›Full record

ArticleJournal of environmental monitoring : JEM2011

Factors affecting variability in the urinary biomarker 1,6-hexamethylene diamine in workers exposed to 1,6-hexamethylene diisocyanate.

Linda G T Gaines, Kenneth W Fent, Sheila L Flack, Jennifer M Thomasen, Stephen G Whittaker, Leena A Nylander-French

Abstract read
In one paragraph

Article in Journal of environmental monitoring : JEM, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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.

Linda G T GainesDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, CB #7431, Rosenau Hall, Chapel Hill, NC 27599-7431, USA.
Kenneth W Fent
Sheila L Flack
Jennifer M Thomasen
Stephen G Whittaker
Leena A Nylander-French

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Biostatstics for Research in Environmental HealthT32ES007018 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel, Rebecca Fry · 1985 to 2026
$31.3M
Occupational Safety and Health and Education Research CenterT42OH008673 · OH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI NYLANDER-FRENCH, LEENA A · 2005 to 2025
$27.3M
TOXICOLOGYT32ES007126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ILONA JASPERS, Bernard E. Weissman · 1985 to 2026
$13.0M
Dermal Exposure to 1,6-Hexamethylene DiisocyanateR01OH007598 · OH · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI NYLANDER-FRENCH, LEENA A · 2003 to 2005
–
NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P30ES10126NIEHS NIH HHS T32 ES007018NIEHS NIH HHS T32 ES007126NIOSH CDC HHS R01 OH007598NIOSH CDC HHS R01-OH007598NIOSH CDC HHS T42 OH008673PHS HHS T42 CCT422952
6 · The paper itself

Abstract

Although urinary 1,6-hexamethylene diamine (HDA) is a useful biomarker of exposure to 1,6-hexamethylene diisocyanate (HDI), a large degree of unexplained intra- and inter-individual variability exists between estimated HDI exposure and urine HDA levels. We investigated the effect of individual and workplace factors on urine HDA levels using quantitative dermal and inhalation exposure data derived from a survey of automotive spray painters exposed to HDI. Painters' dermal and breathing-zone HDI-exposures were monitored over an entire workday for up to three separate workdays, spaced approximately one month apart. One urine sample was collected before the start of work with HDI-containing paints, and multiple samples were collected throughout the workday. Using mixed effects multiple linear regression modeling, coverall use resulted in significantly lower HDA levels (p = 0.12), and weekday contributed to significant variability in HDA levels (p = 0.056). We also investigated differences in urine HDA levels stratified by dichotomous and classification covariates using analysis of variance. Use of coveralls (p = 0.05), respirator type worn (p = 0.06), smoker status (p = 0.12), paint-booth type (p = 0.02), and more than one painter at the shop (p = 0.10) were all found to significantly affect urine HDA levels adjusted for creatinine concentration. Coverall use remained significant (p = 0.10), even after adjusting for respirator type. These results indicate that the variation in urine HDA level is mainly due to workplace factors and that appropriate dermal and inhalation protection is required to prevent HDI exposure.

Indexed as

AdultAir Pollutants, OccupationalBiomarkersCyanatesDiaminesHumansIsocyanatesLinear ModelsMaleMiddle AgedOccupational ExposureSkin AbsorptionWorkplaceYoung Adult1,6-diaminohexane1,6-hexamethylene diisocyanateAir Pollutants, OccupationalBiomarkersCyanatesDiaminesIsocyanates

Identifiers

PMID20978689
PMCPMC4124595

What OpenQuestion holds

Textmetadata
LicenceTDM
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.