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

Nkengne, Alex; Bertin, Christiane; Stamatas, GN; Girón, Alexis; Rossi, AB; Issachar, N.; Fertil, Bernard

doi:10.1111/j.1468-3083.2008.02698.x

Cited by 158 publications

(159 citation statements)

References 35 publications

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“…Consistent with most of researches on voices, no difference between male and female participants was reported in age estimation from faces (Dehon & Brédart, 2001;Voelkle et al, 2012). Moreover, as for voices, when a gender difference was reported, females estimated the age more accurately than males (Nkengne et al, 2008;Vestlund et al, 2009). Similarly, Vestlund et al (2009) found that females are less biased than males and more accurate but only with faces from 56 to 65 years.…”

Section: Gender Of Participantssupporting

confidence: 71%

“…Similarly, Vestlund et al (2009) found that females are less biased than males and more accurate but only with faces from 56 to 65 years. Nkengne et al (2008) also provided some support for a better performance in women. However, only females' faces were used in this study.…”

Section: Gender Of Participantsmentioning

confidence: 99%

“…Moreover, ageing is a stochastic processing and is not uniform. It depends both intrinsic and extrinsic factors (Nkengne, Bertin, Stamatas, Giron, Rossi, Issachar, & Fertil, 2008). The extrinsic factors are amongst others sun exposure, smoking, alcohol intake, workload, physical condition and they have an impact on ageing face and voice.…”

Section: Age Of Stimulimentioning

confidence: 99%

See 2 more Smart Citations

Age Estimation from Faces and Voices: A Review

Moyse

2014

Psychologica Belgica

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Section: Gender Of Participantssupporting

confidence: 71%

Section: Gender Of Participantsmentioning

confidence: 99%

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Age Estimation from Faces and Voices: A Review

Moyse

2014

Psychologica Belgica

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“…Previous studies have also provided some empirical support for better age estimation performance and less bias among women (Nkengne et al, 2008;Vestlund et al, 2009). Although the reasons for this increased age estimation bias in the male group are unclear, this may be partly because women tend to be more appearance-conscious and more sensitive to their age; it could also be because women tend to observe others and/or themselves in the mirror more frequently than men during the common practice of applying cosmetics.…”

Section: Discussionmentioning

confidence: 90%

Age-Related Bias in Age Estimation Based on Facial Images of Others

Fujisawa¹,

Azuma²,

Konishi³

et al. 2016

PSYCH

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In this study, we hypothesized that the tendency toward an age estimation bias when judging age based on facial images was driven by relative comparison with one's own age, similar to situations of face-to-face communication. Using facial images as stimuli, participants were asked to assess the ages of those in the images in relative terms (younger or older than the participants themselves). We examined the relationship between age estimation bias and participants' age and gender, as well as the type of facial expression in the images (smiling or neutral). This bias was found throughout most gender and age groups, with the exception of the middle-age female group. Moreover, the bias was greater in men than women, and was influenced by both age and type of expression. These results suggest that the main factors responsible for age estimation bias interact in a complex juxtaposition of variables such as sex, age, and expression.

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“…Perceived age is a specifi c term referring to facial appearance and comprising multiple facial features such as the nasolabial fold, skin wrinkling, the presence of pigmented spots or lip height (2,3).…”

Section: Introductionmentioning

confidence: 99%

Glycation: Implication in Perceived Age and Dermatology

2014

RoJCED

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Perceived age comprises different facial features and it is associated with multiple external factors, one of which is high levels of serum glucose. Modern Western diet is associated with systemic elevated sugar levels. Excess sugars react with proteins, forming protein-bounded sugars involved in the process named glycation and resulting in the formation of advanced glycation end products or AGEs. This article reviews the pathophysiological mechanisms involved in glycation and AGEs' impact on tissues and organs of both healthy and diabetic individuals. Dietary advice must be an important part of medical consultation, emphasizing the benefi ts of a hypoglycemic diet. Future research aimed at discovering universal molecules that could interfere with AGE's will be a major breakthrough in the management of diabetes and aging related conditions.

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

Abstract: 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.

Cited by 158 publications

References 35 publications

Age Estimation from Faces and Voices: A Review

Age Estimation from Faces and Voices: A Review

Age-Related Bias in Age Estimation Based on Facial Images of Others

Glycation: Implication in Perceived Age and Dermatology

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