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Enregistrement W2015294403 · doi:10.1111/j.1473-2165.2006.00214.x

The shrinking world: skin considerations in a global community

2006· editorial· en· W2015294403 sur OpenAlexaboutno aff
Zoe Diana Draelos

Notice bibliographique

RevueJournal of Cosmetic Dermatology · 2006
Typeeditorial
Langueen
DomaineMedicine
ThématiqueSkin Protection and Aging
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésProduct (mathematics)AcneEthnic groupMedicineDark skinDermatologySkin colorGerontologySociologyComputer scienceAnthropology

Résumé

récupéré en direct d'OpenAlex

Each year that passes the world becomes smaller and smaller, not physically, but socially. It is now possible in the span of 30 min to e-mail people from Tokyo to Berlin to Portland to San Francisco to Montreal to London to Buenos Aires to Moscow to High Point, North Carolina, my home. As I sit at my desk in my small corner of the world, I can share thoughts and knowledge with dermatologists of many different skin types, genders, and backgrounds. This ability enriches me personally and enhances my skills as a dermatologist. This is one of the major goals of the Journal, to bring the best new ideas and research in cosmetic dermatology from a global community to a global community; in short, to understand what makes our skin the same and at the same time different. What really are the skin considerations in a global community? The key to understanding skin considerations in a global community is the recognition that not all skins are the same. The same skin disease can look very different in Caucasian vs. African American skin. The pigmentation problems common in Asian skin are not seen in Northern Europeans. The effects of aging are much different in men vs. women. Adolescents are more likely to develop acne with product use than mature individuals. Persons who easily flush experience stinging and burning in response to product application more frequently. Thus, issues of ethnicity, skin color, age, gender, and skin sensitivity must be considered when developing skin care products for a global community. Gender issues are some of the most basic global differences. Male skin is visually much different than female skin and has a unique response to aging and adverse product reactions. Probably the most important difference between male and female skin is the skin thickness. Male skin is thicker than female skin, in part because of the presence of terminal hair follicles over much of the body. This difference is most pronounced on the face where women have only vellus hairs, whereas men have fully developed terminal hairs. The presence of male facial hair is partially responsible for the more favorable appearance of mature men over mature women. As UV radiation activates collagenase to destroy dermal collagen, the male beard allows the skin to resist wrinkling. Thus, photoaged men do not exhibit the pronounced redundant facial skin seen in photoaged women. The thicker male skin is also superior for diffusing UV radiation, especially in the UVA range, which penetrates more deeply, causing greater damage in female skin. Thus, the global media prefers images of younger women and older men, which further magnifies gender differences in photoaging. Skin sensitivity is another global consideration that has some gender predilection. Women experience adverse reactions more commonly than men. The thinner skin may allow irritants and allergens to penetrate deeper in female skin, but the increased incidence may also be resulting from greater product usage. Women globally use more skin care products and cosmetics than men. This increased usage magnifies the chances of contacting an irritant or an allergen. Globally, women are also more likely to undergo procedures that destroy the skin barrier, such as facial peels, microdermabrasion, spa treatments, etc. Furthermore, women are more likely to engage in anti-aging topical products that can create barrier damage, such as topical tretinoin, glycolic acid, lactic acid, etc. This damage to the stratum corneum further increases the chance for magnification of a mild adverse reaction into a more serious dermatologic problem. This artificially created increase in skin sensitivity has been termed “polypharmacy” by some who wish to impart the concept of overusage of prescription and over-the-counter products. Lastly, skin color is an important global consideration. All colors of skin possess melanin, but the differences arise from unique melanin distribution. This difference in melanin distribution gives rise to light and dark skin and also to sunburn characteristics. Very light skin that does not tan typically does not respond to injury with pigmentation changes. This is in contrast to persons with darker skin, to include Asian, Mediterranean, African American, and Hispanic skin, who experience frequent postinflammatory hyperpigmentation, which is a larger cosmetic concern than wrinkling in these ethnic groups. Darker skin will sunburn and tan just like fair skin, but deepening of the skin color is generally considered undesirable. This is not the case in fair complected individuals who try to achieve a tan by natural sun exposure, the use of artificial UVA radiation in a tanning booth, or dyeing of the skin with self-tanning products containing dihydroxyacetone. Melanin is basically an unstable radical that can absorb an electron from highly energetic unstable oxygen species, preventing the activation of collagenase and the resulting dermal damage. This is why darker-complected peoples of the world typically do not demonstrate photoaging to the same degree as their fairer-complected age-matched counterparts. A global view of cosmetic dermatology is important for both the dermatologist and the cosmetic formulator. Many companies are now developing multilingual packaging, consistent global formulations, and expanding distribution to all continents. This is the shrinking world of the future. We are a global community similar in many ways with unique differences all looking to achieve the same goal of lifelong health and beauty.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesIntégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,601
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,013
Tête enseignante GPT0,318
Écart entre enseignants0,305 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2006
Routes d'admission1
Résumé présentoui

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