We sought to quantify absorption of triclosan, a potential endocrine disruptor, in healthcare workers with occupational exposure to soap containing this chemical.
A cross-sectional convenience sample of two groups of 38 healthcare workers at separate inpatient medical centers: Hospital One uses 0.3% triclosan soap in all patient care areas; Hospital Two does not use triclosan-containing products. Additional exposure to triclosan-containing personal care products was assessed through a structured questionnaire. Urine triclosan was quantified and the occupational contribution estimated through regression modeling.
Occupational exposure accounted for an incremental triclosan burden of 206 ng/mL (p=0.02), while triclosan-containing toothpaste use was associated with 146 ng/mL higher levels (p<0.001).
Use of triclosan-containing antibacterial soaps in healthcare settings represents a substantial and potentially biologically relevant source occupational triclosan exposure.
Triclosan is a synthetic, chemical, antibacterial agent found in many commercially available products labeled “antibacterial,” including personal care products such as soaps, toothpaste, cosmetics, and acne creams; it is also present in other consumer products.
A growing body of scientific research calls into question the safety of triclosan. For example,
Triclosan is absorbed following trans-dermal or oral exposure. Quantification of triclosan in urine represents a key biomonitoring instrument for such absorption because triclosan (as free and conjugated metabolites) is excreted primarily in urine, with a half-life of about 11 hours in humans.
Given the potential adverse human health effects of triclosan, better characterization of exposure risks is warranted. We hypothesized that biomonitoring would establish that the burden of triclosan in healthcare workers is indeed higher due to occupational exposure and that, among such persons, personal care product would superimpose even greater exposure. To test this, we compared urine triclosan levels among physicians and nurses at two hospitals in close geographic proximity: one that uses triclosan-containing hand washing soap and one that does not.
We carried out a cross-sectional study in a convenience sample of physicians and nurses at two hospitals. Hospital One uses a 0.3% triclosan-based soap in all patient care areas and restrooms (staff and public). Hospital Two uses plain soap and water, having previously phased-out triclosan-containing soaps. Both hospital sites also have a water-free alcohol based hand rub for hand hygiene (a product that does not contain triclosan). To be eligible for study inclusion, participants were required to be a physician (MD or DO) or nurse (RN) employed on a full-time basis at their hospital site (defined as regularly working ≥36 hours per week), and to have worked at least 8 of the 48 hours prior to study recruitment. Potential subjects also were required to complete a brief questionnaire (detailed below). Those otherwise eligible were excluded if they failed to provide a urine sample for triclosan analysis. Four otherwise eligible participants who did not provide a satisfactory urine sample were thus excluded.
Institutional Review Board approval was obtained from each of the two hospital study sites. Recruitment ran form March through August 2012. Questionnaire completion and spot urine sample collection occurred immediately following a brief presentation about the project at various staff meetings onsite (these included educational events as well as standard staff meetings). Following each presentation, healthcare workers were invited to participate. Altogether 15 separate recruitment presentations were made at times ranging from 6AM to 7PM.
We developed a brief survey questionnaire using an iterative process of review within the study team. Items on the timing of recent exposure took into account a triclosan half-life of approximately 11-hours; work exposure assessed the anticipated primary factor driving hand washing (patients directly cared for); and exposure to triclosan-containing personal product included toothpaste given the efficiency of buccal absorption
The spot urine sample was collected in phthalate- and triclosan-free urine containers. Immediately following collection, urine samples (room temperature) were transported to the laboratory within one hour. Analysis of free and total triclosan in urine was carried out by liquid chromatography-tandem mass spectrometry. The limit of detection (LOD) for both analytes is 0.05 μg/L. Quantitation of each analyte was done by isotope dilution method using a 10-point calibration curve. Each analyte has a limit of quantitation (LOQ) of 0.1 μg/L. For details of the
The mean and standard deviation for age and urinary creatinine were calculated for each hospital site stratum and for the entire cohort. We tested differences using the t-test for the age, the Wilcoxon test for the number of hours worked in the 48-hr period prior to participation, and the creatinine. Differences in categorical variables were tested using the chi-square test. Descriptive statistics for triclosan levels (free, conjugated and total) were calculated for each hospital site and for the entire study sample for all participants and for participants stratified by TCT use (since TCT was a major potential source of triclosan exposure, independent of hospital exposure). The overall differences in triclosan levels by hospital site and by TCT use analyzed together were tested by ANOVA; pairwise comparisons used the Wilxocon rank sum for median values and the t-test for mean values. To facilitate comparison to national data (NHANES)
We performed a multiple linear regression analysis among all study participants to analyze the combined effects of TCT use and hospital exposure, adjusting for the covariates of age and urinary creatinine. To further assess the role of other cofactors and to take into account the differing mix by site of profession and sex, we re-estimated the linear regression models stratified by site and further including in addition to the variables in the previous models profession, sex (male), number of workplace hand washings in past 24 hours, time worked over the past 48 hours, and personal use of antibacterial soaps.
We studied 76 participants, 38 from each hospital site (
Among the exposure cofactors of interest (
Among non-TCT uses, the urinary concentrations of total (non-conjugated and conjugated combined) triclosan were significantly higher at Hospital One compared to Hospital Two (median values 68.5 vs. 8.6 ng/mL; p=0.02). In contrast, among TCT users the concentrations were higher but quite similar by hospital (255 vs. 258 ng/mL; p>0.8). Among the two groups of TCT and non-TCT users combined, Hospital One manifested higher levels than Hospital Two, but this difference was not statistically significant. Free triclosan levels did not differ by hospital for either TCT stratum. All comparisons in
In order to analyze the combined effects of TCT use and potential exposure to triclosan through hand soap in Hospital One, we tested models including both of these two risk factors, also including as covariates age and urinary creatinine. The parameter estimates for TCT use and site of hospital employment are shown in
To our knowledge this is the first peer-reviewed biomonitoring study to measure triclosan levels among healthcare workers. The study underscores hospital exposure and use of TCT as important sources of exposure to triclosan. Among non-TCT users, there were significantly higher conjugated and total triclosan levels in those who worked in the hospital that used triclosan-containing soap in all patient care areas. In the hospital that did not use triclosan, TCT was the dominant contributor to the observed levels and, in the stratum of TCT users, obscured the differences between the two hospitals. Multivariate analysis, taking into account both TCT use and hospital, however, made it clear that both factors were independent predictors of the triclosan burden and that the occupational factor, overall, was associated with the largest estimated effect.
It is not surprising that TCT use correlated with higher urinary triclosan levels. Other studies have showed that buccal absorption of triclosan is high. For example, Allymr and colleagues
Of interest, the free triclosan levels did not differ by hospital for any stratum. This may be due to a conjugation that occurs locally by skin cells, consistent with findings in a rat model.
As stated above, the geometric mean total urine triclosan was 92.92 ng/mL for the exposed and 36.65 ng/mL for the unexposed hospital. By comparison, a representative sample of the general U.S. population for adults (20 yrs. and older) in NHANES for the years 2009-10 observed a geometric mean total urine triclosan level of 15.5 ng/mL (95% CI 12.9-18.5).
Our study has several important limitations. A major limitation of our study design is its reliance on a cross-sectional, convenience sample of participants rather than employing an alternative design, such as a stratified random sample of the entire working populations of the two hospitals studied or, even more ideally, a cross-over intervention trial in which triclosan-containing soap was allowed, removed, and then re-added to the work environment. It is possible, for example, that those with the greatest triclosan exposure at work would be more concerned about their triclosan exposure levels and thus be more likely to participate, although this might also occur with randomly selected potential participants. Nonetheless, although this phenomenon might lead to an overestimate of exposure levels, it would not be likely to account for all of the hospital site-related effect that was observed. In addition, the sample size is small, especially in regard to the stratified analyses that might analyze possible interactions among risk factors. Because no pre-existing validated questionnaire assessing exposure to triclosan among hospital workers was available, we developed
There are hundreds of triclosan-containing products the use of which, for the sake of brevity, were not included in the questionnaire and participants may have had sources of triclosan exposure that were not accounted for. This was not likely to have made a large contribution, however, given that the intercept of the model estimates was not statistically different than zero, although larger sample size would have provided greater study power in that regard. We were also limited by our inability to set a fixed recruitment schedule that might have reduced the variability in time from last exposure until urine sampling. For example, because the half-life of triclosan is less than 12 hours, those with work exposure on a previous shift but not yet exposed on the day of measurement would tend to have lower levels of triclosan detected than might have been measured sooner post-shift; similarly, exposure to TCT that occurred in the morning before work with sampling in the late afternoon might have had lower levels than had that person been sampled earlier. Nonetheless, although this effect to the extent present would have led to a lower estimate of effect, it should not have acted in a systematic way to account for the associations that we did observe.
Despite these limitations, our analysis has identified a role for occupational exposure in our participants' triclosan burden. Because biostatical modeling based on a relatively small convenience sample is constrained by wide confidence intervals, however, further bio-monitoring studies with a larger sample size of randomly selected individuals would be necessary to confirm these results. This is all the more relevant because the effects of long-term, low level human triclosan exposure are unknown, but
Until the clinical benefit weighted against any potential human adverse health and wider negative environmental effects of triclosan have been delineated more fully, it may be best to take an precautionary approach as elucidated by Kriebel et al: “when an activity raises threats of harm to human health or the environment, precautionary measures should be taken even if some cause and effect relationships are not fully established scientifically”.
Disclosures: This research and publication was supported by the Passport Foundation, Science Innovation Fund and the Natural Resources Defense Council (NRDC), Science Center, as well as the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, through UCSF-CTSI Grant Number UL1 TR000004. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. Drs. MacIsaac and Blanc received support from the Northern California Educational Resource Center – Occupational Safety and Health Education Residency Training (T-42-OH008429 CDC/NIOSH) and an Occupational & Environmental Medicine Residency Training Enhancement Award (D33HP19037 HRSA). Dr. MacIsaac worked as a paid consultant for the Natural Resources Defense Council, a non-profit environmental advocacy group.
Neither the Passport Foundation nor NCATS participated in the design or conduct of the study; nor were these organizations involved in the collection, management, analysis, or interpretation of the data;nor the preparation, review, or approval of the manuscript. The NRDC was involved in the design and conduct of the study; as well as the collection, management, analysis, and interpretation of the data. The NRDC was not involved in the review or approval of the manuscript.
The authors would like to thank the Occupational Physicians Scholarship Fund and the National Institute of Occupational Safety and Health for funding a one-year training fellowship in Occupational Medicine for Julia MacIsaac, wherein a portion of this research was completed.
Isabel Allen PhD, performed data analysis as a paid consultant at the Clinical and Translational Science Institute at the University of California, San Francisco.
| Subject Characteristics | All (n=76) | Hospital One (n=38) | Hospital Two (n=38) | P value |
|---|---|---|---|---|
| Demographics | ||||
| Age in years, mean±SD | 35.1±9.6 | 38.8 ± 11.4 | 31.3 ± 6.2 | <0.001 |
| Female Sex, n (%) | 57 (75%) | 31 (82%) | 26 (68%) | 0.15 |
| Profession, n (%) | <0.001 | |||
| Physician | 37 (49%) | 5 (13%) | 32 (84%) | |
| Nurse | 39 (51%) | 33 (87%) | 6 (16%) | |
| Exposure Co-factors | ||||
| Hours worked in last 48 hours, median (IQR) | 16 (11) | 13 (12) | 19 (9.8) | 0.19 |
| Work hand washing in last 24 hours, median (IQR) | 8 (8) | 9 (14) | 8 (7) | 0.19 |
| Use of TCT, n (%) | 29 (39%) | 11 (31%) | 18 (47%) | 0.15 |
| Use of anti-bacterial soap outside of work, n (%) | 51 (69%) | 25 (68%) | 26 (70%) | 0.69 |
| Urinary Cr, median (IQR) | 74.0 (92.5) | 61.8 (85.3) | 85.0 (108.1) | 0.23 |
Hospital One uses triclosan-containing soaps, Hospital Two does not (see Methods)
IQR= Interquartile Range; TCT= Triclosan-containing toothpaste
P value for comparison between hospital sites by chi square, t-test (age), or Wilcoxon (hours, creatinine)
| Triclosan conjugation status by TCT use | All Participants | Hospital One | Hospital Two | P value | |||
|---|---|---|---|---|---|---|---|
| Mean±SD ng/mL Urine | Median (IQR) ng/mL Urine | Mean±SD ng/mL Urine | Median (IQR) ng/mL Urine | Mean±SD ng/mL Urine | Median (IQR) ng/mL Urine | ||
| TCT Users | N=29 | N=11 | N=18 | ||||
| Free TRI | 6.3±10.4 | 2.4 (6.7) | 4.5±4.7 | 2.5 (4.4) | 7.4±12.8 | 2.3 (9.1) | 0.57 |
| Con TRI | 228.7±149.8 | 247.4 (237.7) | 241.2±130.2 | 243.2 (203.4) | 221.0±163.8 | 253.9 (292.4) | 0.88 |
| Total TRI | 235.0±153.6 | 255.5 (265.5) | 245.7±131.0 | 255.5 (199.4) | 228.4±169.2 | 257.8 (329.9) | 0.82 |
| Non- Users | N=47 | N=27 | N=20 | ||||
| Free TRI | 2.1±6.1 | 0.5 (0.8) | 3.2±7.9 | 0.6 (2.0) | 0.7±1.5 | 0.1 (0.6) | 0.21 |
| Con TRI | 93.6±126.4 | 45.4 (95.1) | 137.0±146.1 | 68.4 (174.2) | 39.3±66.7 | 7.7 (44.4) | 0.02 |
| Total TRI | 95.7±130.3 | 45.6 (123.9) | 140.3±151.1 | 68.5 (176.8) | 40.0±67.9 | 8.6 (67.9) | 0.02 |
| All | N=76 | N=38 | N=38 | ||||
| Free TRI | 3.7±8.2 | 0.85 (3.7) | 3.6±7.1 | 0.96 (3.1) | 3.9±9.4 | 0.64 (5.7) | 0.87 |
| Con TRI | 143.4±149.8 | 77.8 (221.1) | 168.9±147.8 | 94.0 (266.5) | 125.4±151.9 | 46.5 (246.5) | 0.41 |
| Total TRI | 147.1±154.1 | 78.4 (269.8) | 172.5±151.6 | 94.5 (276.1) | 129.3±156.8 | 46.7 (252.7) | 0.48 |
TCT=Triclosan Containing Toothpaste; TRI=Triclosan; Con=Conjugated; IQR=Interquartile range
Overall ANOVAs for Free Triclosan, Conjugated Triclosan, and Total Triclosan by hospital and TCT use all p<0.05.
P values are for the Wilcoxon test of between hospital differences for Triclosan urine concentrations.
| Model tested | Model R2 | Beta coefficient ± SE ng/mL Urine | P value |
|---|---|---|---|
| Free TRI | 0.242 | ||
| TCT use | 3.82 ± 1.93 | 0.051 | |
| Employed in Hospital 1 | 0.77 ± 4.93 | 0.88 | |
| Conjugated TRI | 0.595 | ||
| TCT use | 142.25 ± 32.61 | <0.001 | |
| Employed in Hospital 1 | 204.90 ± 83.45 | 0.017 | |
| Total TRI | 0.596 | ||
| TCT use | 146.07 ± 33.51 | <0.001 | |
| Employed in Hospital 1 | 205.66 ± 88.77 | 0.019 |
TRI =Triclosan; TCT=Triclosan Containing Toothpaste
All models also include age and urinary creatinine.
Age was not statistically significant in any model; urinary creatinine p =0.01 for free TRI only (parameter estimates not shown).
| Hospital One (Using Triclosan-Containing Soap) | |||
|---|---|---|---|
| Triclosan Dependent Variable in Model Tested | Independent Predictors | Beta coefficient ± SE ng/mL Urine | P value |
| Free TRI | |||
| Nurses | 6.0±4.2 | 0.16 | |
| TCT | 0.8±3.0 | 0.80 | |
| Male Sex | 6.4±4.2 | 0.05 | |
| Hand Washing Frequency | -0.02±0.12 | 0.88 | |
| Conjugated TRI | |||
| Nurses | 165.9±93.6 | 0.09 | |
| TCT | 103.0±66.3 | 0.13 | |
| Male Sex | 77.2±70.6 | 0.28 | |
| Hand Washing Frequency | 0.5±2.7 | 0.86 | |
| Hospital Two (Triclosan-Containing Soap Free) | |||
| Free TRI | |||
| Nurses | -4.6±5.8 | 0.43 | |
| TCT | 6.4±3.4 | 0.08 | |
| Male Sex | 1.6±3.8 | 0.68 | |
| Hand Washing Frequency | -0.05±0.28 | 085 | |
| Conjugated TRI | |||
| Nurses | 30.0±80.1 | 0.71 | |
| TCT | 177.1±47.9 | 0.001 | |
| Male Sex | -3.6±52.9 | 0.95 | |
| Hand Washing Frequency | 0.40±3.9 | 0.92 | |
TRI = Triclosan; TCT= Triclosan Containing Toothpaste
Models also include the additional variables of age, urinary creatinine, hours worked in the previous 48, and the use of antibacterial soap (all p>0.10 in all models tested).
Triclosan is an antibacterial added to many products, including disinfectant soaps used in many health care facilities. Triclosan is a potential human endocrine disruptor with possible adverse health effects and wide population exposure. This study quantifies the contribution of occupational exposure among health care workers to the human triclosan burden.