Influence of facial skin attributes on the perceived age of Caucasian women

• Published in: Journal of the European Academy of Dermatology and Venereology Vol. 22; no. 8; pp. 982 - 991
• Main Authors: Nkengne, A, Bertin, C, Stamatas, GN, Giron, A, Rossi, A, Issachar, N, Fertil, B
• Format: Journal Article
• Language: English
• Published: Oxford, UK Blackwell Publishing Ltd 01-08-2008
• Subjects: Adult; age perception; Aged; European Continental Ancestry Group; Face; facial ageing; facial attributes; Female; Humans; Middle Aged; Perception; photo-ageing; PLS; Risk Factors; skin ageing; Skin Aging; Skin Physiological Phenomena
• ISSN: 0926-9959; 1468-3083
• DOI: 10.1111/j.1468-3083.2008.02698.x

Background and objective  The facial appearance of a person does not always reflect the chronological age; some people look younger or older than they really are. Many studies have described the changes in skin properties (colour, wrinkles, sagging, micro relief, etc.) with age, but few of them have analysed their influence on the perceived age. The primary objective of this study was to assess the contribution of individual skin attributes of the face on the perceived age of Caucasian women. Secondary objectives were to assess the influence of age and gender of graders with regard to the age perception.
Subjects and method  A random sample of 173 subjects of 20 to 74 years of age was taken from a database of more than 5000 healthy Caucasian women. A trained grader performed visual assessment of facial skin attributes (using a visual analogue scale), and a front face photograph was taken from each subject. Photographs were shown to 48 graders (20 men and 28 women, aged 22–64 years) who were asked to estimate the age of the subjects. Graders were classified as young (less than 35 years), middle age (35–50 years) and seniors (older than 50 years).
Partial Least Square regression models were built to predict the chronological and the perceived age from the measured facial individual attributes. The contribution of each attribute within the regression model enabled to measure the relevance of this attribute with regards to age prediction.
Results  The eye area and the skin colour uniformity were the main attributes related to perceived age. For age prediction, older graders’ estimations were more driven by lips border definition shape and eyes opening, whereas younger graders’ (older than 50 years) estimations were more driven by dark circles, nasolabial fold and brown spots.
There were statistically significant differences in graders’ age perception between gender and among age ranges. Our findings suggest that female graders are more accurate than male, and younger graders (under 35 years) are more accurate than older (over 50 years) to predict Caucasian women age from facial photographs.
Conclusions  Different skin attributes influence the estimation of age. These attributes have a different weight in the evaluation of the perceived age, depending on the age and of the observer. The most important attributes to estimate age are eyes, lips and skin colour uniformity.