JOURNAL ARTICLE
Biomonitoring of hand and forearm transepidermal water loss and skin pH among nursing apprentices.
Published In: Contact Dermatitis (01051873), 2025, v. 92, n. 1. P. 41 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Babić, Željka; Šakić, Franka; Macan, Jelena 3 of 3
Abstract
Background: Measurements of transepidermal water loss (TEWL) and stratum corneum (SC) pH can help indicate work‐related skin barrier damage, but sensitivity to confounding personal and ambient factors limits their potential as biomonitoring tools. Objectives: To evaluate the difference between hand and forearm skin barrier conditions as a tool for early recognition of workers with occupational contact dermatitis. Participants and Methods: The participants were nursing apprentices (N = 238, median age 19 years) from Zagreb, Croatia. They filled out a questionnaire based on the Nordic Occupational Skin Questionnaire, underwent a clinical examination of skin on the hands, and were evaluated for their TEWL and SC pH on the dorsum of the hand and volar part of the forearm. Results: We found that the difference between hand and forearm TEWL values (ΔTEWL) greater than 7 g/m2/h, or >50%, or the difference in SC ΔpH >0.50, predicted visible skin changes found on clinical examination. However, only the association with ΔpH >0.50 retained statistical significance when controlled for sex, age, ambient temperature, and relative humidity in a multiple regression model. Conclusions: The difference between hand and forearm SC pH values is suggested as a reliable biomonitoring tool in recognition of damaged skin barrier conditions in occupational settings. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Contact Dermatitis (01051873). 2025/01, Vol. 92, Issue 1, p41
- Document Type:Article
- Subject Area:Pharmacy and Pharmacology
- Publication Date:2025
- ISSN:0105-1873
- DOI:10.1111/cod.14690
- Accession Number:181848108
- Copyright Statement:Copyright of Contact Dermatitis (01051873) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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