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SKIN CARE 33


Test site for instrumental assessments A predefined area on the side of the face was assessed to determine the effects of the treatment on skin lightening and skin moisturisation. The test site for the measurements was the left and right side of the face between the jawline and the ear. The test area for measurements was approximately 5cm x 5cm and centrally located.


Skin colour measurement Skin lightening was measured using a Chromameter CR400 (www.konicaminolta.com). The Chromameter is a tristimulus colour analyser that measures the reflected colour according to the CIE 1976 L*a*b* (CIELAB) colour space values. The L*, a* and b* parameters were recorded following three repeated measurements at each test site.


Skin moisture measurements Skin surface moisturisation was measured using the Corneometer (Courage & Khazaka, GmbH). Five individual measurements were taken at different positions within each of the test sites.


Data analysis Canfield Visia image analysis The visible signs of ageing on the face, such as fine lines and wrinkles, age spots (solar lentigines), open pores and uneven skin tone were to be analysed. The Canfield Visia complexion analysis software gives data on the following equivalent parameters: Visible Sign; Canfield parameter; Canfield Definition (Table 1).


The data for UV Spots, Pores and Texture


were collected for the left and right-side images. These values were then analysed and


summary statistics (mean, standard deviation, median, minimum and maximum values) calculated. As the data is on a ranking scale, a non-parametric method of analysis has been used to compare the pre-treatment (Week 0) and post treatment values at Week 4 and Week 10. As the data is a within volunteer


Table 3: UV spots A


Mean


Median SD


Min max


B Mean


Median SD


Min max


T0


291.4688 309.5


69.67342 82


370 T0


283.4 301.0 75.7 57.0


356.0 T10


297.9 310.0 75.8 60.0


402.0 T10


289.5 310.0 78.4 45.0


362.0


comparison, the Wilcoxon Signed Ranks Test has been used. The analysis has been performed using Unistat for Windows v 6.0 (www.unistat.com) in Excel overlay mode. A difference was considered significant if p < 0.05.


Photography – Canfield Visia images The before (Week 0) and after (Week 10) images for each side of the face and for each volunteer were randomly coded (A & B) and inserted into a PowerPoint presentation with one before and after image on each slide. Each slide was assessed in a blind manner by an experienced individual independent of photographic procedures or setting up of the image randomisation to ensure an unbiased assessment of the visible ageing signs.


Skin colour measurement The Chromameter parameters, L*, a* and b*, have been analysed for the left and right sides of the face and summary statistics (mean, standard deviation, median, minimum and maximum values) have been calculated. As the data is on a ranking scale, a non-parametric method of analysis has been used to compare baseline (Week 0) and post treatment values at Week 4 and Week 10.


Corneometer data Five measurements were made at each test site and the mean of these values calculated and the means used in all subsequent analysis. Summary statistics


n Product A n Product B 61 59 57 55 53 baseline week10 Figure 4:Change in parameter skin lightness between baseline and week 10. June 2020


Table 4: Texture A


Mean


Median SD


Min max


B Mean


Median SD


Min max


(mean, standard deviation, median, minimum and maximum values) were prepared over all volunteers for Corneometer values. In order to avoid any assumption about data distribution, a nonparametric method of analysis has been used to compare baseline (Week 0) and post treatment values at Week 4 and Week 10.


Canfield Visia image analysis parameters Canfield Visia Parameter: Pores There was a 13% increase in mean pores score for Product A between baseline and week 10, whereas for Product B, there was a 5% increase of mean pores score. The 13% increase for Product A was statistically significant (p=0.04) however, no other comparisons were statistically significant. The individual results of the image


analysis parameter Pores are summarised in Figure 1 and Table 2.


Canfield Visia Parameter: UV Spots There was a 2% increase in mean UV spots score for Product A between baseline and Week 10, whereas for Product B, there was a 3% increase of mean UV spot score. The increase observed with Product B was statistically significant (p=0.03) with no other comparisons achieving statistical significance. This statistical difference indicates the latent UV sensitive damage increased statistically significantly for the side of the face treated with Product B, whereas the side of the face treated with Product A was not statistically significantly changed during the study (Fig 2 and Table 3).


Canfield Visia Parameter: Texture There was an 18% and 16% increase in mean texture score between baseline and week 10, for Product A and Product B respectively. The differences were statistically significant (p<0.01) at each timepoint for Product A and Product B, suggesting the vehicle formulation had a similar effect on both sides of the face (Table 4 and Fig 3).


T0


1420.7 1389.5 690.3 298.0


3038.0 T0


1478.9 1368.5 765.6 327.0


3787.0 T10


1735.0 1616.0 661.0 616.0


3097.0 T10


1758.9 1644.0 692.8 450.0


3397.0 PERSONAL CARE EUROPE


L* parameter


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