Evidence map›Paper›PMID 40847899›Full record

ArticleJournal of cosmetic dermatology2025

Objectification of Skin Glow: In Vivo Evaluation of 300 Women in Relation to Age.

Alena Roessle, Martina Kerscher

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Alena RoessleCosmetic Science, Institute of Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany.ORCID https://orcid.org/0009-0003-9562-6654
Martina KerscherCosmetic Science, Institute of Biochemistry and Molecular Biology, University of Hamburg, Hamburg, Germany.

Funding

Universität Hamburg
6 · The paper itself

Abstract

objectiveThe influence of skin quality (SQ) on perceived attractiveness and skin health has been studied extensively. An international consensus has identified four "emergent perceptual categories" (EPCs) for SQ, which are linked to specific parameters. However, there is currently a lack of data on how these parameters correspond objectively with age in facial and nonfacial skin. This study aims to investigate the impact of age on the EPC skin glow and to establish objective reference ranges for five distinct age groups.

methodsA cohort of 300 Caucasian women, aged 20-69 years, was divided into five age groups. Skin glow was evaluated by measuring melanin (MI), erythema index (EI), and gloss diffuse scattering correction (DSC) value. The parameters were assessed with a Mexameter and a Skin-Glossymeter (Courage+Khazaka electronic GmbH, Cologne, Germany) on five areas: the forehead, cheek, neck, décolleté, and the back of the hand.

resultsA moderate positive correlation was observed between age and EI for the neck. Low correlations were identified for the neck (MI), décolleté (EI, gloss DSC), and hand (MI, EI, and gloss DSC). No correlations were found between age and the EI, MI, and gloss DSC parameters in the facial areas, nor for gloss DSC in the neck and MI in the décolleté.

conclusionAge-related changes in nonfacial areas, particularly the neck, highlight its potential as a reference site for skin assessment in Caucasians. Reference ranges could guide treatments for detractors like erythema and pigmentation. Future studies should consider external influences to refine intervention strategies.

Indexed as

SkinSkin AgingAdultAgedAge FactorsBeautyErythemaFaceFemaleHandHumansMelaninsMiddle AgedNeckReference ValuesSkin PigmentationMelaninsbiophysical measurementsskin barrierskin glowskin physiology/structureskin qualitystatistics

Identifiers

PMID40847899
PMCPMC12374564

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.