A new approach to quantify asymmetry in human movement
In this perspective paper, we propose a new approach to quantify the asymmetries in human movement. Before describing this approach, we delve into the asymmetry in human movement, often defined as the opposite of symmetry, and its implications for studying human movement. We critically examine the v...
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Veröffentlicht in: | Journal of biomechanics 2024-06, Vol.170, p.112158, Article 112158 |
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description | In this perspective paper, we propose a new approach to quantify the asymmetries in human movement. Before describing this approach, we delve into the asymmetry in human movement, often defined as the opposite of symmetry, and its implications for studying human movement. We critically examine the various methods available to quantify and describe bilateral differences, from arbitrary thresholds (such as the commonly employed 10–15% difference) to the measure of the smallest meaningful changes, and we stress the need for consideration of interindividual variability in the analysis. Our proposal centers on a straightforward metric, the probability of agreement, and a corresponding plot summarizing the agreement between measures from two limbs. Critically, the agreement between two limbs depends on the value of the clinically acceptable difference. The agreement will increase with larger values of clinically acceptable difference and decrease with smaller values of clinically acceptable difference. Data from various movements and conditions in athletes’ sports training and rehabilitation are used to illustrate this approach. Our perspective provides valuable insights into the nature of asymmetry in human movement, considering that a rational understanding of asymmetry in human movement requires a thoughtful approach encompassing both statistical and clinical significance. The data and codes employed in our research are openly accessible in the supplementary materials, enabling others in the field to replicate and build upon our findings. |
doi_str_mv | 10.1016/j.jbiomech.2024.112158 |
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Before describing this approach, we delve into the asymmetry in human movement, often defined as the opposite of symmetry, and its implications for studying human movement. We critically examine the various methods available to quantify and describe bilateral differences, from arbitrary thresholds (such as the commonly employed 10–15% difference) to the measure of the smallest meaningful changes, and we stress the need for consideration of interindividual variability in the analysis. Our proposal centers on a straightforward metric, the probability of agreement, and a corresponding plot summarizing the agreement between measures from two limbs. Critically, the agreement between two limbs depends on the value of the clinically acceptable difference. The agreement will increase with larger values of clinically acceptable difference and decrease with smaller values of clinically acceptable difference. Data from various movements and conditions in athletes’ sports training and rehabilitation are used to illustrate this approach. Our perspective provides valuable insights into the nature of asymmetry in human movement, considering that a rational understanding of asymmetry in human movement requires a thoughtful approach encompassing both statistical and clinical significance. 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Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-1d8acc73ab9eeed69b708dc067865576bfa415fb5beb3608023537c34a63c9283</citedby><cites>FETCH-LOGICAL-c396t-1d8acc73ab9eeed69b708dc067865576bfa415fb5beb3608023537c34a63c9283</cites><orcidid>0000-0001-8923-4855</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/3066792324?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995,64385,64387,64389,72341</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38781797$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>de Andrade, André Gustavo Pereira</creatorcontrib><creatorcontrib>Carpes, Felipe P.</creatorcontrib><title>A new approach to quantify asymmetry in human movement</title><title>Journal of biomechanics</title><addtitle>J Biomech</addtitle><description>In this perspective paper, we propose a new approach to quantify the asymmetries in human movement. Before describing this approach, we delve into the asymmetry in human movement, often defined as the opposite of symmetry, and its implications for studying human movement. We critically examine the various methods available to quantify and describe bilateral differences, from arbitrary thresholds (such as the commonly employed 10–15% difference) to the measure of the smallest meaningful changes, and we stress the need for consideration of interindividual variability in the analysis. Our proposal centers on a straightforward metric, the probability of agreement, and a corresponding plot summarizing the agreement between measures from two limbs. Critically, the agreement between two limbs depends on the value of the clinically acceptable difference. The agreement will increase with larger values of clinically acceptable difference and decrease with smaller values of clinically acceptable difference. Data from various movements and conditions in athletes’ sports training and rehabilitation are used to illustrate this approach. Our perspective provides valuable insights into the nature of asymmetry in human movement, considering that a rational understanding of asymmetry in human movement requires a thoughtful approach encompassing both statistical and clinical significance. 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Carpes, Felipe P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-1d8acc73ab9eeed69b708dc067865576bfa415fb5beb3608023537c34a63c9283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Agreements</topic><topic>Asymmetry</topic><topic>Functional lateralization</topic><topic>Human motion</topic><topic>Injury</topic><topic>Limbs</topic><topic>Lower extremity</topic><topic>Rehabilitation</topic><topic>Reproducibility</topic><topic>Standard error of measurement</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Symmetry</topic><topic>Training</topic><topic>Variance analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>de Andrade, André Gustavo Pereira</creatorcontrib><creatorcontrib>Carpes, Felipe P.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>de Andrade, André Gustavo Pereira</au><au>Carpes, Felipe P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new approach to quantify asymmetry in human movement</atitle><jtitle>Journal of biomechanics</jtitle><addtitle>J Biomech</addtitle><date>2024-06-01</date><risdate>2024</risdate><volume>170</volume><spage>112158</spage><pages>112158-</pages><artnum>112158</artnum><issn>0021-9290</issn><issn>1873-2380</issn><eissn>1873-2380</eissn><abstract>In this perspective paper, we propose a new approach to quantify the asymmetries in human movement. Before describing this approach, we delve into the asymmetry in human movement, often defined as the opposite of symmetry, and its implications for studying human movement. We critically examine the various methods available to quantify and describe bilateral differences, from arbitrary thresholds (such as the commonly employed 10–15% difference) to the measure of the smallest meaningful changes, and we stress the need for consideration of interindividual variability in the analysis. Our proposal centers on a straightforward metric, the probability of agreement, and a corresponding plot summarizing the agreement between measures from two limbs. Critically, the agreement between two limbs depends on the value of the clinically acceptable difference. The agreement will increase with larger values of clinically acceptable difference and decrease with smaller values of clinically acceptable difference. Data from various movements and conditions in athletes’ sports training and rehabilitation are used to illustrate this approach. Our perspective provides valuable insights into the nature of asymmetry in human movement, considering that a rational understanding of asymmetry in human movement requires a thoughtful approach encompassing both statistical and clinical significance. The data and codes employed in our research are openly accessible in the supplementary materials, enabling others in the field to replicate and build upon our findings.</abstract><cop>United States</cop><pub>Elsevier Ltd</pub><pmid>38781797</pmid><doi>10.1016/j.jbiomech.2024.112158</doi><orcidid>https://orcid.org/0000-0001-8923-4855</orcidid></addata></record> |
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subjects | Agreements Asymmetry Functional lateralization Human motion Injury Limbs Lower extremity Rehabilitation Reproducibility Standard error of measurement Statistical analysis Statistical significance Symmetry Training Variance analysis |
title | A new approach to quantify asymmetry in human movement |
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