The effect of female breast surface area on heat-activated sweat gland density and output.

breast exercise female morphology sweat

Journal

Experimental physiology
ISSN: 1469-445X
Titre abrégé: Exp Physiol
Pays: England
ID NLM: 9002940

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 26 02 2024
accepted: 08 05 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: aheadofprint

Résumé

Female development includes significant morphological changes across the breast. Yet, whether differences in breast surface area (BrSA) modify sweat gland density and output remains unclear. The present study investigated the relationship between BrSA and sweat gland density and output in 22 young to middle-aged women (28

Identifiants

pubmed: 38847458
doi: 10.1113/EP091850
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Engineering and Physical Sciences Research Council and Nike Inc.

Informations de copyright

© 2024 The Author(s). Experimental Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society.

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Auteurs

Hannah Blount (H)

ThermosenseLab, Skin Sensing Research Group, School of Health Sciences, The University of Southampton, Southampton, UK.

Alessandro Valenza (A)

ThermosenseLab, Skin Sensing Research Group, School of Health Sciences, The University of Southampton, Southampton, UK.
Sport and Exercise Sciences Research Unit, SPPEFF Department, University of Palermo, Palermo, Italy.

Jade Ward (J)

ThermosenseLab, Skin Sensing Research Group, School of Health Sciences, The University of Southampton, Southampton, UK.

Silvia Caggiari (S)

PressureLab, Skin Sensing Research Group, School of Health Sciences, The University of Southampton, Southampton, UK.

Peter R Worsley (PR)

PressureLab, Skin Sensing Research Group, School of Health Sciences, The University of Southampton, Southampton, UK.

Davide Filingeri (D)

ThermosenseLab, Skin Sensing Research Group, School of Health Sciences, The University of Southampton, Southampton, UK.

Classifications MeSH