Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) DXA-BIA Estimations for the Early Identification of Sarcopenia/Low Muscle Mass in Middle-Aged Women
Sarcopenia involves the loss of muscle mass along with a decrease in muscle strength and physical performance. The aim of this paper was to compare the already published BIA equations for the estimation of Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) with dual X-ray densitometer...
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| Veröffentlicht in: | Nutrients 2024-11, Vol.16 (22), p.3897 |
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| creator | Moroni, Alessia Gasparri, Clara Perna, Simone Rondanelli, Mariangela Micheletti Cremasco, Margherita |
| description | Sarcopenia involves the loss of muscle mass along with a decrease in muscle strength and physical performance. The aim of this paper was to compare the already published BIA equations for the estimation of Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) with dual X-ray densitometer DXA estimations in order to determine whether Bioelectrical Impedance Analysis (BIA) could be a feasible application on a general population for the detection of low muscle mass and sarcopenia.
Seventy-nine healthy women aged 40-70 years were included. Assessments involved BIA and DXA evaluations and anthropometric measurements.
DXA and BIA estimations showed great agreement, particularly the ones introduced by Scafoglieri et al. (2017) for ASMM (mean difference 1.81 kg) and Kanellakis et al. (2020) equation for FFM (mean difference 0.52 kg) resulted in the best fit for the cohort in analysis. BIA could intercept a low muscle mass condition which can be linked to sarcopenia.
This study showed how the use of BIA represents an effective and reliable method in the evaluation of sarcopenia. |
| doi_str_mv | 10.3390/nu16223897 |
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Seventy-nine healthy women aged 40-70 years were included. Assessments involved BIA and DXA evaluations and anthropometric measurements.
DXA and BIA estimations showed great agreement, particularly the ones introduced by Scafoglieri et al. (2017) for ASMM (mean difference 1.81 kg) and Kanellakis et al. (2020) equation for FFM (mean difference 0.52 kg) resulted in the best fit for the cohort in analysis. BIA could intercept a low muscle mass condition which can be linked to sarcopenia.
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Seventy-nine healthy women aged 40-70 years were included. Assessments involved BIA and DXA evaluations and anthropometric measurements.
DXA and BIA estimations showed great agreement, particularly the ones introduced by Scafoglieri et al. (2017) for ASMM (mean difference 1.81 kg) and Kanellakis et al. (2020) equation for FFM (mean difference 0.52 kg) resulted in the best fit for the cohort in analysis. BIA could intercept a low muscle mass condition which can be linked to sarcopenia.
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Gasparri, Clara ; Perna, Simone ; Rondanelli, Mariangela ; Micheletti Cremasco, Margherita</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c296t-36394105f0f207f2128615c3041e092a1be2d6b0295c372223799a837a8a08d03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Absorptiometry, Photon - methods</topic><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Anthropometry - methods</topic><topic>Body Composition</topic><topic>Colleges & universities</topic><topic>Disease prevention</topic><topic>Early Diagnosis</topic><topic>Electric Impedance</topic><topic>Female</topic><topic>Humans</topic><topic>Menopause</topic><topic>Middle Aged</topic><topic>Muscle Strength</topic><topic>Muscle, Skeletal - diagnostic imaging</topic><topic>Musculoskeletal system</topic><topic>Nutrition</topic><topic>Older people</topic><topic>Sarcopenia</topic><topic>Sarcopenia - diagnosis</topic><topic>Sarcopenia - diagnostic imaging</topic><topic>Womens health</topic><topic>Working groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moroni, Alessia</creatorcontrib><creatorcontrib>Gasparri, Clara</creatorcontrib><creatorcontrib>Perna, Simone</creatorcontrib><creatorcontrib>Rondanelli, Mariangela</creatorcontrib><creatorcontrib>Micheletti Cremasco, Margherita</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nutrients</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moroni, Alessia</au><au>Gasparri, Clara</au><au>Perna, Simone</au><au>Rondanelli, Mariangela</au><au>Micheletti Cremasco, Margherita</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) DXA-BIA Estimations for the Early Identification of Sarcopenia/Low Muscle Mass in Middle-Aged Women</atitle><jtitle>Nutrients</jtitle><addtitle>Nutrients</addtitle><date>2024-11-15</date><risdate>2024</risdate><volume>16</volume><issue>22</issue><spage>3897</spage><pages>3897-</pages><issn>2072-6643</issn><eissn>2072-6643</eissn><abstract>Sarcopenia involves the loss of muscle mass along with a decrease in muscle strength and physical performance. The aim of this paper was to compare the already published BIA equations for the estimation of Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) with dual X-ray densitometer DXA estimations in order to determine whether Bioelectrical Impedance Analysis (BIA) could be a feasible application on a general population for the detection of low muscle mass and sarcopenia.
Seventy-nine healthy women aged 40-70 years were included. Assessments involved BIA and DXA evaluations and anthropometric measurements.
DXA and BIA estimations showed great agreement, particularly the ones introduced by Scafoglieri et al. (2017) for ASMM (mean difference 1.81 kg) and Kanellakis et al. (2020) equation for FFM (mean difference 0.52 kg) resulted in the best fit for the cohort in analysis. BIA could intercept a low muscle mass condition which can be linked to sarcopenia.
This study showed how the use of BIA represents an effective and reliable method in the evaluation of sarcopenia.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39599682</pmid><doi>10.3390/nu16223897</doi><orcidid>https://orcid.org/0000-0003-3780-2931</orcidid><orcidid>https://orcid.org/0000-0001-8336-4851</orcidid><orcidid>https://orcid.org/0000-0002-1088-6648</orcidid><orcidid>https://orcid.org/0000-0002-5948-7584</orcidid><orcidid>https://orcid.org/0000-0002-2720-1473</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Absorptiometry, Photon - methods Adult Age Aged Anthropometry - methods Body Composition Colleges & universities Disease prevention Early Diagnosis Electric Impedance Female Humans Menopause Middle Aged Muscle Strength Muscle, Skeletal - diagnostic imaging Musculoskeletal system Nutrition Older people Sarcopenia Sarcopenia - diagnosis Sarcopenia - diagnostic imaging Womens health Working groups |
| title | Appendicular Skeletal Muscle Mass (ASMM) and Fat-Free Mass (FFM) DXA-BIA Estimations for the Early Identification of Sarcopenia/Low Muscle Mass in Middle-Aged Women |
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