Literature DB >> 15090716

Daily variations in skin surface properties using mixed model methodology.

J Latreille1, C Guinot, C Robert-Granié, I Le Fur, M Tenenhaus, J-L Foulley.   

Abstract

In order to explore the variations over the course of a day in certain skin biophysical properties, a study was conducted on 8 female volunteers. An assessment of several skin biophysical properties was carried out on the face and the volar forearm every 4 h over a period of 48 h. The biophysical parameters were assessed on the face for sebum secretion, skin surface pH, skin colour, transepidermal water loss, capacitance and skin surface temperature. The same parameters were measured on the volar forearm (excepted for sebum secretion). A statistical analysis based on mixed effect models was conducted. Four models, with different covariance structures, were successively tested. The analysis allowed us to identify a structure that repeated itself over time in the same way over each 24-hour period for capacitance on the forearm and for sebum secretion, skin surface pH and skin colour (L* and a* parameters) on the face. Mixed effect methodology is a powerful tool to analyse longitudinal data involving correlations among repeated measurements made on the same subject. Copyright 2004 S. Karger AG, Basel

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Year:  2004        PMID: 15090716     DOI: 10.1159/000077240

Source DB:  PubMed          Journal:  Skin Pharmacol Physiol        ISSN: 1660-5527            Impact factor:   3.479


  2 in total

1.  The Effect of a Global, Subject, and Device-Specific Model on a Noninvasive Glucose Monitoring Multisensor System.

Authors:  Andreas Caduff; Mattia Zanon; Martin Mueller; Pavel Zakharov; Yuri Feldman; Oscar De Feo; Marc Donath; Werner A Stahel; Mark S Talary
Journal:  J Diabetes Sci Technol       Date:  2015-04-24

2.  Daytime Changes of Skin Biophysical Characteristics: A Study of Hydration, Transepidermal Water Loss, pH, Sebum, Elasticity, Erythema, and Color Index on Middle Eastern Skin.

Authors:  Alireza Firooz; Hamed Zartab; Bardia Sadr; Leili Naraghi Bagherpour; Aidin Masoudi; Ferial Fanian; Yahya Dowlati; Amir Hooshang Ehsani; Aniseh Samadi
Journal:  Indian J Dermatol       Date:  2016 Nov-Dec       Impact factor: 1.494

  2 in total

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