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Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study

OBJECTIVE: Accuracy in assessing age from facial cues is important in social perception given reports of strong negative correlations between perceived age and assessments of health and attractiveness. In a multi‐ethnic and multi‐centre study, we previously documented similar patterns of female faci...

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Autores principales: Voegeli, Rainer, Schoop, Rotraut, Prestat‐Marquis, Elodie, Rawlings, Anthony V., Shackelford, Todd K., Fink, Bernhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291153/
https://www.ncbi.nlm.nih.gov/pubmed/34293190
http://dx.doi.org/10.1111/ics.12727
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author Voegeli, Rainer
Schoop, Rotraut
Prestat‐Marquis, Elodie
Rawlings, Anthony V.
Shackelford, Todd K.
Fink, Bernhard
author_facet Voegeli, Rainer
Schoop, Rotraut
Prestat‐Marquis, Elodie
Rawlings, Anthony V.
Shackelford, Todd K.
Fink, Bernhard
author_sort Voegeli, Rainer
collection PubMed
description OBJECTIVE: Accuracy in assessing age from facial cues is important in social perception given reports of strong negative correlations between perceived age and assessments of health and attractiveness. In a multi‐ethnic and multi‐centre study, we previously documented similar patterns of female facial age assessments across ethnicities, influenced by gender and ethnicity of assessors. METHODS: Here we extend these findings by examining differences between estimated age from digital portraits and chronological age (Δ age) for 180 women from three age groups (20–34, 35–49, 50–66 years) and five ethnicities (36 images of each ethnicity, assessed for age on a continuous scale by 120 female and male raters of each ethnicity). RESULTS: Across ethnicities, Δ age was smallest in French assessors and largest in South African assessors. Numerically, French women were judged oldest and Chinese women youngest relative to chronological age. In younger women, Δ age was larger than in middle‐aged and older women. This effect was particularly evident when considering the interaction of women's age with assessor gender and ethnicity, independently and together, on Δ age. CONCLUSION: Collectively, our findings suggest that accuracy in assessments of female age from digital portraits depends on the chronological age and ethnicity of the photographed women and the ethnicity and gender of the assessor. We discuss the findings concerning ethnic variation in skin pigmentation and visible signs of ageing and comment on implications for cosmetic science.
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spelling pubmed-92911532022-07-20 Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study Voegeli, Rainer Schoop, Rotraut Prestat‐Marquis, Elodie Rawlings, Anthony V. Shackelford, Todd K. Fink, Bernhard Int J Cosmet Sci Original Articles OBJECTIVE: Accuracy in assessing age from facial cues is important in social perception given reports of strong negative correlations between perceived age and assessments of health and attractiveness. In a multi‐ethnic and multi‐centre study, we previously documented similar patterns of female facial age assessments across ethnicities, influenced by gender and ethnicity of assessors. METHODS: Here we extend these findings by examining differences between estimated age from digital portraits and chronological age (Δ age) for 180 women from three age groups (20–34, 35–49, 50–66 years) and five ethnicities (36 images of each ethnicity, assessed for age on a continuous scale by 120 female and male raters of each ethnicity). RESULTS: Across ethnicities, Δ age was smallest in French assessors and largest in South African assessors. Numerically, French women were judged oldest and Chinese women youngest relative to chronological age. In younger women, Δ age was larger than in middle‐aged and older women. This effect was particularly evident when considering the interaction of women's age with assessor gender and ethnicity, independently and together, on Δ age. CONCLUSION: Collectively, our findings suggest that accuracy in assessments of female age from digital portraits depends on the chronological age and ethnicity of the photographed women and the ethnicity and gender of the assessor. We discuss the findings concerning ethnic variation in skin pigmentation and visible signs of ageing and comment on implications for cosmetic science. John Wiley and Sons Inc. 2021-08-08 2021-10 /pmc/articles/PMC9291153/ /pubmed/34293190 http://dx.doi.org/10.1111/ics.12727 Text en © 2021 DSM Nutritional Products AG. International Journal of Cosmetic published by John Wiley & Sons Ltd on behalf of Society of Cosmetic Scientists and Societe Francaise de Cosmetologie https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Voegeli, Rainer
Schoop, Rotraut
Prestat‐Marquis, Elodie
Rawlings, Anthony V.
Shackelford, Todd K.
Fink, Bernhard
Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study
title Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study
title_full Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study
title_fullStr Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study
title_full_unstemmed Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study
title_short Differences between perceived age and chronological age in women: A multi‐ethnic and multi‐centre study
title_sort differences between perceived age and chronological age in women: a multi‐ethnic and multi‐centre study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9291153/
https://www.ncbi.nlm.nih.gov/pubmed/34293190
http://dx.doi.org/10.1111/ics.12727
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