Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A Theoretical Framework for Relating Natural Movement to Length and Quality of Life in Human and Non-human Animals

View ORCID ProfileIain Hunter
doi: https://doi.org/10.1101/2022.11.28.518240
Iain Hunter
1Division of Neuroscience, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, School of Biological Sciences, University of Manchester, Manchester, United Kingdom
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Iain Hunter
  • For correspondence: Iain.hunter-2@manchester.ac.uk
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

1 Abstract

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 different animal species. This type of interspecies comparison may be useful for identifying conserved computational principles of movement that guide 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. The present text proposes a theoretical framework for doing so, within which movement is defined as movement ability (MA). MA is comprised of three major variables – Movement Quality, Movement Complexity, and Movement Quantity – that may be used to capture what are perhaps the most important components of movement as it relates to length and quality of life. The framework requires validation, however, it represents a novel and potentially important paradigm for considering movement, which may influence how present and future work is conducted.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Updated to change an error with font colour.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted December 02, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A Theoretical Framework for Relating Natural Movement to Length and Quality of Life in Human and Non-human Animals
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A Theoretical Framework for Relating Natural Movement to Length and Quality of Life in Human and Non-human Animals
Iain Hunter
bioRxiv 2022.11.28.518240; doi: https://doi.org/10.1101/2022.11.28.518240
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
A Theoretical Framework for Relating Natural Movement to Length and Quality of Life in Human and Non-human Animals
Iain Hunter
bioRxiv 2022.11.28.518240; doi: https://doi.org/10.1101/2022.11.28.518240

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Systems Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4095)
  • Biochemistry (8784)
  • Bioengineering (6493)
  • Bioinformatics (23382)
  • Biophysics (11765)
  • Cancer Biology (9166)
  • Cell Biology (13286)
  • Clinical Trials (138)
  • Developmental Biology (7421)
  • Ecology (11383)
  • Epidemiology (2066)
  • Evolutionary Biology (15112)
  • Genetics (10408)
  • Genomics (14019)
  • Immunology (9141)
  • Microbiology (22092)
  • Molecular Biology (8792)
  • Neuroscience (47429)
  • Paleontology (350)
  • Pathology (1423)
  • Pharmacology and Toxicology (2483)
  • Physiology (3711)
  • Plant Biology (8060)
  • Scientific Communication and Education (1433)
  • Synthetic Biology (2213)
  • Systems Biology (6020)
  • Zoology (1251)