An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments

Skin type classification is important because it provides guidance for professionals and consumers to recommend and select the most appropriate cosmetic products and skin care protocols and it is also important in clinical research. Several methods have been proposed for classifying skin typologies...

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Main Authors: Rita Oliveira, Joana Ferreira, Luís Filipe Azevedo, Isabel F. Almeida
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Cosmetics
Subjects:
Online Access:https://www.mdpi.com/2079-9284/10/1/14
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author Rita Oliveira
Joana Ferreira
Luís Filipe Azevedo
Isabel F. Almeida
author_facet Rita Oliveira
Joana Ferreira
Luís Filipe Azevedo
Isabel F. Almeida
author_sort Rita Oliveira
collection DOAJ
description Skin type classification is important because it provides guidance for professionals and consumers to recommend and select the most appropriate cosmetic products and skin care protocols and it is also important in clinical research. Several methods have been proposed for classifying skin typologies such as non-invasive bioengineering tools (examples: Corneometer<sup>®</sup> and Sebumeter<sup>®</sup>), visual and tactile methods (subjective methods that evaluate skin appearance, texture, temperature, and abnormalities), artificial intelligence-based tools and instruments (examples: visual rating scales, and self-report instruments). Examples of known visual rating scales used to classify skin aging are the Griffiths Photonumeric Scale, the Glogau Scale, and the SCINEXA Scale. The Fitzpatrick Skin Phototype Classification and the Baumann Skin Type System are some of the self-report instruments used for skin type classification. Despite the diversity of methods to classify skin type and degree of skin aging, data on instruments are scarce and not adequately compiled. Validation in larger samples and with individuals of different ethnicities and geographic locations is needed to promote a more universal use. Visual rating scales and instruments are interesting tools that allow the skin to be promptly and efficiently examined, without using costly or complex equipment, and are very useful in a clinical or self-assessment context.
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spelling doaj.art-8b68e2c22ba94e5a8a99797db64b781a2023-11-16T19:53:37ZengMDPI AGCosmetics2079-92842023-01-011011410.3390/cosmetics10010014An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report InstrumentsRita Oliveira0Joana Ferreira1Luís Filipe Azevedo2Isabel F. Almeida3FP-BHS—Biomedical and Health Sciences Research Unit, FFP-I3ID—Instituto de Investigação, Inovação e Desenvolvimento, Faculdade de Ciências da Saúde, Universidade Fernando Pessoa, Rua Carlos da Maia 296, 4200-150 Porto, PortugalUCIBIO—Applied Molecular Biosciences Unit, MedTech, Laboratory of Pharmaceutical Technology, Department of Drug Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo de Ferreira 228, 4050-313 Porto, PortugalDepartment of Community Medicine, Information and Health Decision Sciences—MEDCIDS, Center for Health Technology and Services Research—CINTESIS, Faculty of Medicine, University of Porto, 4050-313 Porto, PortugalUCIBIO—Applied Molecular Biosciences Unit, MedTech, Laboratory of Pharmaceutical Technology, Department of Drug Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo de Ferreira 228, 4050-313 Porto, PortugalSkin type classification is important because it provides guidance for professionals and consumers to recommend and select the most appropriate cosmetic products and skin care protocols and it is also important in clinical research. Several methods have been proposed for classifying skin typologies such as non-invasive bioengineering tools (examples: Corneometer<sup>®</sup> and Sebumeter<sup>®</sup>), visual and tactile methods (subjective methods that evaluate skin appearance, texture, temperature, and abnormalities), artificial intelligence-based tools and instruments (examples: visual rating scales, and self-report instruments). Examples of known visual rating scales used to classify skin aging are the Griffiths Photonumeric Scale, the Glogau Scale, and the SCINEXA Scale. The Fitzpatrick Skin Phototype Classification and the Baumann Skin Type System are some of the self-report instruments used for skin type classification. Despite the diversity of methods to classify skin type and degree of skin aging, data on instruments are scarce and not adequately compiled. Validation in larger samples and with individuals of different ethnicities and geographic locations is needed to promote a more universal use. Visual rating scales and instruments are interesting tools that allow the skin to be promptly and efficiently examined, without using costly or complex equipment, and are very useful in a clinical or self-assessment context.https://www.mdpi.com/2079-9284/10/1/14skin hydrationsebum productionskin sensitivitywrinklephotoagingskin type
spellingShingle Rita Oliveira
Joana Ferreira
Luís Filipe Azevedo
Isabel F. Almeida
An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments
Cosmetics
skin hydration
sebum production
skin sensitivity
wrinkle
photoaging
skin type
title An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments
title_full An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments
title_fullStr An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments
title_full_unstemmed An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments
title_short An Overview of Methods to Characterize Skin Type: Focus on Visual Rating Scales and Self-Report Instruments
title_sort overview of methods to characterize skin type focus on visual rating scales and self report instruments
topic skin hydration
sebum production
skin sensitivity
wrinkle
photoaging
skin type
url https://www.mdpi.com/2079-9284/10/1/14
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