This study was performed to assess the effects of sulfuric acid inhalation, and partly to examine the potential suitability of the laboratory ferret as a respiratory tract clearance model. Separate groups of ferrets were first exposed nose-only to purified air, 0.5 mg/m3 ofsulfuric acid aerosol, and 1.0 mg/m3 ofsulfuric acid aerosol for 4 h. Following the deposition of radiolabeled tracer microspheres, the clearance rates from the head and chest regions were monitored using collimated radiation detection equipment. The results indicate that (1) neither of the acid atmospheres produced a statistically significant effect on the clearance rate of the head region; (2) the high-acid atmosphere produced a significant acceleration in the clearance rate of the lung region; and (3) the long-term lung clearance rate of the purified air-exposed ferrets was very close to that observed with humans. Also, the ferrets were docile and easy to handle, and seemed to be well suited to this type of study. © 1991 Informa UK Ltd All rights reserved: reproduction in whole or part not permitted.

Background

Chemicals in nail products have been linked to numerous health concerns.

Methods

We recruited Vietnamese-American nail salon owners and workers in California and randomized salons into an intervention or control group. Owners in the intervention group received training and then provided education to workers in their salons on best practices to reduce workplace chemical exposures. Methyl methacrylate (MMA), toluene, and total volatile organic compounds (TVOCs) were measured using personal air monitors worn by workers during the work-shift.

Results

We enrolled 77 salons (37 intervention and 40 control) and 200 workers. There was no significant intervention effect between the two groups. However, MMA and TVOCs were higher for workers who used gel polish and acrylic nails as well as in busy salons.

Conclusions

Although the intervention did not show reductions in chemical levels, identifying worker tasks and salon characteristics that predict chemical levels can inform future interventions to reduce exposures.