Applicability of Single Muscle CSA for Predicting Segmental Muscle Volume in Young Men
Abstract The present study aimed to evaluate the applicability of using a single slice cross-sectional area (CSA) of the skeletal muscle for estimating segmental skeletal muscle volume (SMV). By using MRI, the SMV of each of the upper arm, lower arm, upper leg, lower leg, and trunk was determined in...
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| Veröffentlicht in: | International journal of sports medicine 2014-06, Vol.35 (7), p.608-614 |
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| creator | Tanaka, N. I. Kanehisa, H. |
| description | Abstract
The present study aimed to evaluate the applicability of using a single slice cross-sectional area (CSA) of the skeletal muscle for estimating segmental skeletal muscle volume (SMV). By using MRI, the SMV of each of the upper arm, lower arm, upper leg, lower leg, and trunk was determined in 29 males. First, step-wise multiple regression analysis was applied to develop the equation for each segmental SMV in which the CSAs at intervals of 10% of segment length (SL) were used as independent variables. Second, simple linear regression analysis with every CSA selected in the first step was applied to predict SMV in each body segment. In each segment, the standard error of estimate (SEE) in the simple linear regression equation was greater than that in the multiple regression one. The most appropriate slice level for measuring a single CSA to estimate SMV was 30% of the upper arm SL (R
2
=0.800, SEE=7.4%), 60% of the lower arm SL (0.788, 10.3%), 50% of the upper leg SL (0.795, 7.0%), and 20% of the trunk SL (0.813, 6.1%). For the lower leg, muscle CSAs at multiple slice levels are required to estimate SMV without the systematic error. |
| doi_str_mv | 10.1055/s-0033-1351251 |
| format | Article |
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The present study aimed to evaluate the applicability of using a single slice cross-sectional area (CSA) of the skeletal muscle for estimating segmental skeletal muscle volume (SMV). By using MRI, the SMV of each of the upper arm, lower arm, upper leg, lower leg, and trunk was determined in 29 males. First, step-wise multiple regression analysis was applied to develop the equation for each segmental SMV in which the CSAs at intervals of 10% of segment length (SL) were used as independent variables. Second, simple linear regression analysis with every CSA selected in the first step was applied to predict SMV in each body segment. In each segment, the standard error of estimate (SEE) in the simple linear regression equation was greater than that in the multiple regression one. The most appropriate slice level for measuring a single CSA to estimate SMV was 30% of the upper arm SL (R
2
=0.800, SEE=7.4%), 60% of the lower arm SL (0.788, 10.3%), 50% of the upper leg SL (0.795, 7.0%), and 20% of the trunk SL (0.813, 6.1%). For the lower leg, muscle CSAs at multiple slice levels are required to estimate SMV without the systematic error.</description><identifier>ISSN: 0172-4622</identifier><identifier>EISSN: 1439-3964</identifier><identifier>DOI: 10.1055/s-0033-1351251</identifier><identifier>PMID: 24408770</identifier><identifier>CODEN: IJSMDA</identifier><language>eng</language><publisher>Stuttgart · New York: Georg Thieme Verlag KG</publisher><subject>Activities of Daily Living ; Adult ; Arm - anatomy & histology ; Arm - physiology ; Biological and medical sciences ; Body Mass Index ; Fundamental and applied biological sciences. Psychology ; Human physiology applied to population studies and life conditions. Human ecophysiology ; Humans ; Leg - anatomy & histology ; Leg - physiology ; Magnetic Resonance Imaging - methods ; Male ; Medical sciences ; Muscle, Skeletal - anatomy & histology ; Muscle, Skeletal - physiology ; Regression Analysis ; Sports - physiology ; Torso - anatomy & histology ; Torso - physiology ; Training & Testing ; Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</subject><ispartof>International journal of sports medicine, 2014-06, Vol.35 (7), p.608-614</ispartof><rights>2015 INIST-CNRS</rights><rights>Georg Thieme Verlag KG Stuttgart · New York.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-5f31b2c9401ed66bbdff756e0698a50dadce3c1c688469e86e08e60c4cc8080a3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.thieme-connect.de/products/ejournals/pdf/10.1055/s-0033-1351251.pdf$$EPDF$$P50$$Gthieme$$H</linktopdf><linktohtml>$$Uhttps://www.thieme-connect.de/products/ejournals/html/10.1055/s-0033-1351251$$EHTML$$P50$$Gthieme$$H</linktohtml><link.rule.ids>314,776,780,3004,3005,27901,27902,54534,54535</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28506165$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24408770$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tanaka, N. I.</creatorcontrib><creatorcontrib>Kanehisa, H.</creatorcontrib><title>Applicability of Single Muscle CSA for Predicting Segmental Muscle Volume in Young Men</title><title>International journal of sports medicine</title><addtitle>Int J Sports Med</addtitle><description>Abstract
The present study aimed to evaluate the applicability of using a single slice cross-sectional area (CSA) of the skeletal muscle for estimating segmental skeletal muscle volume (SMV). By using MRI, the SMV of each of the upper arm, lower arm, upper leg, lower leg, and trunk was determined in 29 males. First, step-wise multiple regression analysis was applied to develop the equation for each segmental SMV in which the CSAs at intervals of 10% of segment length (SL) were used as independent variables. Second, simple linear regression analysis with every CSA selected in the first step was applied to predict SMV in each body segment. In each segment, the standard error of estimate (SEE) in the simple linear regression equation was greater than that in the multiple regression one. The most appropriate slice level for measuring a single CSA to estimate SMV was 30% of the upper arm SL (R
2
=0.800, SEE=7.4%), 60% of the lower arm SL (0.788, 10.3%), 50% of the upper leg SL (0.795, 7.0%), and 20% of the trunk SL (0.813, 6.1%). For the lower leg, muscle CSAs at multiple slice levels are required to estimate SMV without the systematic error.</description><subject>Activities of Daily Living</subject><subject>Adult</subject><subject>Arm - anatomy & histology</subject><subject>Arm - physiology</subject><subject>Biological and medical sciences</subject><subject>Body Mass Index</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Human physiology applied to population studies and life conditions. Human ecophysiology</subject><subject>Humans</subject><subject>Leg - anatomy & histology</subject><subject>Leg - physiology</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Muscle, Skeletal - anatomy & histology</subject><subject>Muscle, Skeletal - physiology</subject><subject>Regression Analysis</subject><subject>Sports - physiology</subject><subject>Torso - anatomy & histology</subject><subject>Torso - physiology</subject><subject>Training & Testing</subject><subject>Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</subject><issn>0172-4622</issn><issn>1439-3964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqF0MtP4zAQB2ALLYIucOW4ymWlvQTG8SPOsarYh1QEUgGJk-U4E9aVk3Tt5ND_HlctcFpxmsN889CPkEsKVxSEuI45AGM5ZYIWgh6RGeWsylkl-RcyA1oWOZdFcUq-xrgGoLyi7IScFpyDKkuYkaf5ZuOdNbXzbtxmQ5utXP_iMbudok1lsZpn7RCy-4CNs2PqZSt86bAfjX8zT4OfOsxcnz0PUwK32J-T49b4iBeHekYef948LH7ny7tffxbzZW7Ti2MuWkbrwlYcKDZS1nXTtqWQCLJSRkBjGovMUiuV4rJClToKJVhurQIFhp2RH_u9mzD8mzCOunPRovemx2GKmkomgJUg6OdUsFJUTLEq0as9tWGIMWCrN8F1Jmw1Bb2LXUe9i10fYk8D3w67p7rD5p2_5ZzA9wMw0RrfBtNbFz-cEiCpFMnlezf-ddihXg9T6FOA_zv8CqJDlqw</recordid><startdate>20140601</startdate><enddate>20140601</enddate><creator>Tanaka, N. I.</creator><creator>Kanehisa, H.</creator><general>Georg Thieme Verlag KG</general><general>Thieme</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TS</scope></search><sort><creationdate>20140601</creationdate><title>Applicability of Single Muscle CSA for Predicting Segmental Muscle Volume in Young Men</title><author>Tanaka, N. I. ; Kanehisa, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-5f31b2c9401ed66bbdff756e0698a50dadce3c1c688469e86e08e60c4cc8080a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Activities of Daily Living</topic><topic>Adult</topic><topic>Arm - anatomy & histology</topic><topic>Arm - physiology</topic><topic>Biological and medical sciences</topic><topic>Body Mass Index</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Human physiology applied to population studies and life conditions. Human ecophysiology</topic><topic>Humans</topic><topic>Leg - anatomy & histology</topic><topic>Leg - physiology</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Muscle, Skeletal - anatomy & histology</topic><topic>Muscle, Skeletal - physiology</topic><topic>Regression Analysis</topic><topic>Sports - physiology</topic><topic>Torso - anatomy & histology</topic><topic>Torso - physiology</topic><topic>Training & Testing</topic><topic>Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tanaka, N. I.</creatorcontrib><creatorcontrib>Kanehisa, H.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Physical Education Index</collection><jtitle>International journal of sports medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tanaka, N. I.</au><au>Kanehisa, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applicability of Single Muscle CSA for Predicting Segmental Muscle Volume in Young Men</atitle><jtitle>International journal of sports medicine</jtitle><addtitle>Int J Sports Med</addtitle><date>2014-06-01</date><risdate>2014</risdate><volume>35</volume><issue>7</issue><spage>608</spage><epage>614</epage><pages>608-614</pages><issn>0172-4622</issn><eissn>1439-3964</eissn><coden>IJSMDA</coden><abstract>Abstract
The present study aimed to evaluate the applicability of using a single slice cross-sectional area (CSA) of the skeletal muscle for estimating segmental skeletal muscle volume (SMV). By using MRI, the SMV of each of the upper arm, lower arm, upper leg, lower leg, and trunk was determined in 29 males. First, step-wise multiple regression analysis was applied to develop the equation for each segmental SMV in which the CSAs at intervals of 10% of segment length (SL) were used as independent variables. Second, simple linear regression analysis with every CSA selected in the first step was applied to predict SMV in each body segment. In each segment, the standard error of estimate (SEE) in the simple linear regression equation was greater than that in the multiple regression one. The most appropriate slice level for measuring a single CSA to estimate SMV was 30% of the upper arm SL (R
2
=0.800, SEE=7.4%), 60% of the lower arm SL (0.788, 10.3%), 50% of the upper leg SL (0.795, 7.0%), and 20% of the trunk SL (0.813, 6.1%). For the lower leg, muscle CSAs at multiple slice levels are required to estimate SMV without the systematic error.</abstract><cop>Stuttgart · New York</cop><pub>Georg Thieme Verlag KG</pub><pmid>24408770</pmid><doi>10.1055/s-0033-1351251</doi><tpages>7</tpages></addata></record> |
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| subjects | Activities of Daily Living Adult Arm - anatomy & histology Arm - physiology Biological and medical sciences Body Mass Index Fundamental and applied biological sciences. Psychology Human physiology applied to population studies and life conditions. Human ecophysiology Humans Leg - anatomy & histology Leg - physiology Magnetic Resonance Imaging - methods Male Medical sciences Muscle, Skeletal - anatomy & histology Muscle, Skeletal - physiology Regression Analysis Sports - physiology Torso - anatomy & histology Torso - physiology Training & Testing Vertebrates: body movement. Posture. Locomotion. Flight. Swimming. Physical exercise. Rest. Sports |
| title | Applicability of Single Muscle CSA for Predicting Segmental Muscle Volume in Young Men |
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