NIOSHTIC-2 Publications Search
Factors affecting variability in the urinary biomarker 1,6-hexamethylene diamine in workers exposed to 1,6-hexamethylene diisocyanate.
Gaines-LGT; Fent-KW; Flack-SL; Thomasen-JM; Whittaker-SG; Nylander-French-LA
J Environ Monit 2011 Jan; 13(1):119-127
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.
Aerosol-particles; Automotive-industry; Chemical-hypersensitivity; Exposure-assessment; Inhalants; Lung-irritants; Mathematical-models; Paint-spraying; Pollutants; Pulmonary-system; Quantitative-analysis; Respiratory-hypersensitivity; Respiratory-irritants; Skin-exposure; Skin-irritants; Spray-painting; Statistical-analysis
Leena A. Nylander-French, Department 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
Issue of Publication
Journal of Environmental Monitoring
University of North Carolina, Chapel Hill, North Carolina
Page last reviewed: May 5, 2020
Content source: National Institute for Occupational Safety and Health Education and Information Division