A framework for relating natural movement to length and quality of life in human and non-human animals.

Biomechanics Complexity Lifespan Locomotion Model

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
07 Jan 2024
Historique:
received: 01 12 2022
revised: 13 10 2023
accepted: 19 10 2023
medline: 29 11 2023
pubmed: 23 10 2023
entrez: 22 10 2023
Statut: ppublish

Résumé

Natural movement is clearly related to health, however, it is also highly complex and difficult to measure. Most attempts to measure it focus on functional movements in humans, and while this a valid and popular approach, assays focussed on particular movements cannot capture the range of natural movement that occurs outside them. It is also difficult to use current techniques to compare movement across animal species. Interspecies comparison may be useful for identifying conserved biomechanical and/ or computational principles of movement that could inform human and veterinary medicine, plus several other fields of research. It is therefore important that research develops a system for quantifying movement in freely moving animals in natural environments and relating it to length and quality of life (LQOL). The present text proposes a novel theoretical framework for doing so, based on screening movement ability (MA). MA is calculated from three major variables - Movement Quality, Movement Complexity, and Movement Quantity. These may represent the most important components of movement as it relates to LQOL, and offer insight into how and why differences in the relationship between movement and LQOL occur. A constrained version of the framework is validated in Drosophila, which suggests that MA may indeed represent a useful new paradigm for understanding the relationship between movement and length and quality of life.

Identifiants

pubmed: 37866716
pii: S0022-5193(23)00246-1
doi: 10.1016/j.jtbi.2023.111649
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

111649

Informations de copyright

Copyright © 2023. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Iain Hunter (I)

Division of Neuroscience, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, United Kingdom. Electronic address: Iain.hunter-2@manchester.ac.uk.

Raz Leib (R)

Neuromuscular Diagnostics, TUM School of Medicine and Health, Department of Health and Sport Sciences, Technical University of Munich, Georg-Brauchle-Ring 60/ 62, 80992 Munich, Germany.

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Classifications MeSH