Technical Report 126

Summary of Results

Scenario 1 – Triclosan Always Present at Max Use Levels

The only refinement introduced at this point is the use of a probabilistic model with which to assess consumer exposure that is based on real consumer habits and practices, as opposed to deterministically summing the contribution from each product category. All other assumptions regarding substance presence, concentration, product retention and penetration remain consistent as in the first case Tier 1 assessment (results in Table 4).

Moving to a probabilistic and subject oriented model can provide refinement of the estimates of exposure (although not always), but also offers a framework with which to introduce further inputs that can be used to improve estimates of exposure. In general, a probabilistic modelling methodology allows:

  • The use of statistical distributions to characterise substance concentrations
  • The use of presence probabilities to account for occurrence of chemicals
  • The ability to stratify exposure by subpopulation
  • The ability to examine the relative contribution of different sources to the overall exposure

Some of these refinements are examined in scenarios two (Table 7) and three (Table 8).

Table 7: Estimated exposure levels (absorbed dose) – Total Population

Product Mean (µg/kg) P95 (µg/kg)
Toothpaste 9.272 24.498
Mouthwash 20.555 104.629
Shower Gel 10.984 44.547
Face Powder 2.878 7.535
Blemish Concealer 0.288 0.754
Body Lotion 0.865 3.211
Deo/AP non-spray 0.662 3.227
Soaps 27.040 71.258
All Assessed Products 72.556 184.224

Table 8: Estimated exposure levels (absorbed dose) – Exposed Population

Product Mean (µg/kg) P95 (µg/kg)
Toothpaste 10.621 25.353
Mouthwash 53.339 155.883
Shower Gel 19.944 56.214
Face Powder 5.681 8.163
Blemish Concealer 0.568 0.816
Body Lotion 11.330 38.661
Deo/AP non-spray 1.469 4.370
Soaps 28.397 72.271
All Assessed Products 72.590 184.344

In this instance aggregate exposure results are very similar for the total and exposed population. In addition, aggregate estimates at the P95 level are similar to the maximum individual scenario Tier 1 value in Table 2 (164 ug/kg); the mean aggregate estimate is about a factor of 2 lower than this value.

Scenario 2 – Triclosan Present at Max Use Levels and Including Presence Probabilities

Here, it is no longer assumed that triclosan is always present in each product category, but rather it is assumed to be present with a probability of 10%. When the model runs and a subject in the database records using a given product category that can contain triclosan, then the presence of the substance is simulated with a probability of 10%. This means that on average, the subject will be exposed 10% of the time. Thus, the mean exposure is reduced by a factor of 10, which is not necessarily the case for higher percentiles as these will be driven by consumers exposed to triclosan with a higher frequency.

Note that for certain product categories in the Total Population, a P95 of zero is observed while the mean is non-zero. This is due to a combination of both a low proportion of product users and a low chemical occurrence giving rise to less than five percent of the population being exposure to the substance. This is not the case for the Exposed Population, where statistics are only calculated over the non-zero results. Such behaviour is not unusual in population based studies of exposure; however, care is required when communicating such results.

Table 9: Estimated exposure levels (absorbed dose) – Total Population

Product Mean (µg/kg) P95 (µg/kg)
Toothpaste 0.959 7.964
Mouthwash 1.962 0.000
Shower Gel 1.115 3.655
Face Powder 0.279 0.000
Blemish Concealer 0.030 0.340
Body Lotion 0.101 0.000
Deo/AP non-spray 0.067 0.000
Soaps 2.845 19.722
All Assessed Products 7.366 38.443

Table 10: Estimated exposure levels (absorbed dose) – Exposed Population

Product Mean (µg/kg) P95 (µg/kg)
Toothpaste 10.560 25.623
Mouthwash 49.476 138.437
Shower Gel 20.080 53.193
Face Powder 5.605 7.925
Blemish Concealer 0.570 0.815
Body Lotion 13.065 51.932
Deo/AP non-spray 1.451 4.521
Soaps 19.956 56.948
All Assessed Products 18.626 65.591

 

Table 9 & 10 show the results for the total population and the exposed population respectively. In this case the exposed population estimate is about twice that of the general population. The exposed population value at the P95 level is less than half of the maximal single use exposure predicted in Tier 1.

Scenario 3 – Triclosan Present at Max and Usual Use Levels and Including Presence Probabilities

In scenario 3 usual use levels of triclosan are modelled, so the only difference between scenarios two and three are a refinement of concentration levels. Results are shown in Table 11 and Table 12 for the total population and the exposed population respectively.

Table 11: Estimated exposure levels (absorbed dose) – Total Population

Product Mean (µg/kg) P95 (µg/kg)
Toothpaste 0.912 7.473
Mouthwash 1.323 0.000
Shower Gel 1.188 3.868
Face Powder 0.186 0.000
Blemish Concealer 0.014 0.162
Body Lotion 0.043 0.000
Deo/AP non-spray 0.066 0.000
Soaps 2.734 18.882
All Assessed Products 6.470 34.736

Table 12: Estimated exposure levels (absorbed dose) – Exposed Population

Product Mean (µg/kg) P95 (µg/kg)
Toothpaste 10.578 24.964
Mouthwash 35.471 105.851
Shower Gel 20.882 58.624
Face Powder 3.744 5.419
Blemish Concealer 0.280 0.401
Body Lotion 5.730 21.306
Deo/AP non-spray 1.449 4.306
Soaps 19.499 57.111
All Assessed Products 16.536 58.986

 

In this case, it is interesting to note that the exposed population P95 and mean values associated with a single product (mouthwash) exceed the aggregate exposures. This suggests that this single product, when used dominates total exposure. At the same time, it also suggests that its use is less frequent than many other products examined in the assessment. The Tier 1 value for this product (150 ug/kg) would have been conservative both for the exposed population at a higher tier, and also for the exposed population at an aggregate exposure level.