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一种量化面部皮脂水平和描述面部皮脂特征的最佳方法。

An optimal method for quantifying the facial sebum level and characterizing facial sebum features.

机构信息

State Key Laboratory of Genetic Engineering, School of Life Science, and Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, China.

Department of Skin and Cosmetic Research, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.

出版信息

Skin Res Technol. 2023 Sep;29(9):e13454. doi: 10.1111/srt.13454.

DOI:10.1111/srt.13454
PMID:37753695
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10483949/
Abstract

BACKGROUND

Evidence suggests that sebum content is important in skin disorders such as acne. However, sebum levels change depending on the external environment, and quantifying skin sebum levels is challenging. Here, we propose an optimal method for quantifying the facial sebum level.

MATERIALS AND METHODS

Four hundred and sixty participants (160 males and 300 females) aged 20-40 were enrolled in this study. A Sebumeter SM 810 was used to measure the sebum level at five facial locations: the forehead, the chin, the left cheek, the right cheek, and the nose. The participants were divided into two groups; one group underwent a one-time measurement (n = 390, male: female = 120: 270), and the other underwent three consecutive measurements (n = 70, male: female = 40: 30). The casual sebum level (CSL) was measured in all patients after a 30-min acclimatization; subsequently, the sebum removal process was conducted, followed by a resting period of 1 h to determine the sebum excretion rate (SER). Spearman's correlation analysis and the Wilcoxon signed-rank test were used to compare the sebum level consistency and differences between the groups.

RESULTS

Although three consecutive measurements better reflected the sebum content, the one-time measurement also represented the relative sebum level. One hour after sebum removal, the sebum level recovered to 70%-90%; thus, this method was applicable for use in SER quantification. Of the five testing points, the sebum content was highest in the nose and lowest in the cheeks (both left and right). In addition, the cheeks were the most stable sites in terms of testing points, testing times, and CSL/SER values. A one-time measurement of the CSL could represent the SER 1 h after the sebum removal. In our cohort, the sebum level of males with oily skin was decreased at age 32-35, and that of males with non-oily skin increased at 28-35. The opposite trend was observed in female participants.

CONCLUSION

Sebum measurement methods were assessed, including testing times, indices (interval of time) and sites in a conditioned external environment. A one-time measurement of the CSL 1 h after sebum removal was sufficient to determine the sebum level and SER, and the cheeks are recommended as the testing site. Sex and skin type differences were observed in sebum level changes with age.

摘要

背景

有证据表明皮脂含量在痤疮等皮肤疾病中很重要。然而,皮脂水平会随外部环境而变化,定量测定皮肤皮脂水平具有挑战性。在这里,我们提出了一种定量测定面部皮脂水平的最佳方法。

材料和方法

本研究纳入了 460 名 20-40 岁的参与者(男性 160 名,女性 300 名)。使用 Sebumeter SM 810 在五个面部位置(前额、下巴、左脸颊、右脸颊和鼻子)测量皮脂水平。参与者分为两组;一组进行一次性测量(n=390,男:女=120:270),另一组进行连续三次测量(n=70,男:女=40:30)。所有患者在 30 分钟适应期后测量皮脂的即时水平(CSL);随后,进行皮脂去除过程,休息 1 小时以确定皮脂分泌率(SER)。采用 Spearman 相关分析和 Wilcoxon 符号秩检验比较两组之间皮脂水平的一致性和差异。

结果

尽管连续三次测量更好地反映了皮脂含量,但一次性测量也代表了相对皮脂水平。皮脂去除 1 小时后,皮脂水平恢复到 70%-90%;因此,这种方法适用于 SER 定量。在五个测试点中,鼻子的皮脂含量最高,脸颊(左右两侧)最低。此外,在测试点、测试次数和 CSL/SER 值方面,脸颊是最稳定的部位。皮脂去除后 1 小时的 CSL 单次测量可以代表 SER。在我们的队列中,油性皮肤男性的皮脂水平在 32-35 岁时下降,非油性皮肤男性的皮脂水平在 28-35 岁时上升。女性参与者则呈现相反的趋势。

结论

评估了皮脂测量方法,包括测试次数、指数(时间间隔)和 Conditioning 外部环境下的测试点。皮脂去除后 1 小时的 CSL 单次测量足以确定皮脂水平和 SER,并且推荐脸颊作为测试部位。随着年龄的增长,皮脂水平的变化存在性别和皮肤类型差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/b4734705e877/SRT-29-e13454-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/28679562e06e/SRT-29-e13454-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/bb9310387fb8/SRT-29-e13454-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/23ccb0aceb57/SRT-29-e13454-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/62cdfb3730cf/SRT-29-e13454-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/b4734705e877/SRT-29-e13454-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/28679562e06e/SRT-29-e13454-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/bb9310387fb8/SRT-29-e13454-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/23ccb0aceb57/SRT-29-e13454-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/62cdfb3730cf/SRT-29-e13454-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6623/10483949/b4734705e877/SRT-29-e13454-g003.jpg

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