Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample
Background/Objectives Several studies have addressed the validity of ultrasound (US) for body composition assessment, but few have evaluated its reliability. This study aimed to determine the reliability of percent body fat (%BF) estimates using A-mode US in a heterogeneous sample. Subjects/Methods...
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| Veröffentlicht in: | European journal of clinical nutrition 2021-03, Vol.75 (3), p.438-445 |
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| creator | Miclos-Balica, Monica Muntean, Paul Schick, Falk Haragus, Horia G. Glisici, Bogdan Pupazan, Vasile Neagu, Adrian Neagu, Monica |
| description | Background/Objectives
Several studies have addressed the validity of ultrasound (US) for body composition assessment, but few have evaluated its reliability. This study aimed to determine the reliability of percent body fat (%BF) estimates using A-mode US in a heterogeneous sample.
Subjects/Methods
A group of 144 healthy adults (81 men and 63 women), 30.4 (10.1) years (mean (SD)), BMI 24.6 (4.7) kg/m
2
, completed 6 consecutive measurements of the subcutaneous fat layer thickness at 8 anatomical sites. The measurements were done, alternatively, by two testers, using a BodyMetrix™ instrument. To compute %BF, 4 formulas from the BodyView™ software were applied: 7-sites Jackson and Pollock, 3-sites Jackson and Pollock, 3-sites Pollock, and 1-point biceps.
Results
The formula with the most anatomic sites provided the best reliability quantified by the following measures: intraclass correlation coefficient (ICC) = 0.979 for Tester 1 (T1) and 0.985 for T2, technical error of measurement (TEM) = 1.07% BF for T1 and 0.89% BF for T2, and minimal detectable change (MDC) = 2.95% BF for T1, and 2.47% BF for T2. The intertester bias was −0.5% BF, whereas the intertester ICC was 0.972. The intertester MDC was 3.43% BF for the entire sample, 3.24% BF for men, and 3.65% BF for women.
Conclusions
A-mode US is highly reliable for %BF assessments, but it is more precise for men than for women. Examiner performance is a source of variability that needs to be mitigated to further improve the precision of this technique. |
| doi_str_mv | 10.1038/s41430-020-00743-y |
| format | Article |
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Several studies have addressed the validity of ultrasound (US) for body composition assessment, but few have evaluated its reliability. This study aimed to determine the reliability of percent body fat (%BF) estimates using A-mode US in a heterogeneous sample.
Subjects/Methods
A group of 144 healthy adults (81 men and 63 women), 30.4 (10.1) years (mean (SD)), BMI 24.6 (4.7) kg/m
2
, completed 6 consecutive measurements of the subcutaneous fat layer thickness at 8 anatomical sites. The measurements were done, alternatively, by two testers, using a BodyMetrix™ instrument. To compute %BF, 4 formulas from the BodyView™ software were applied: 7-sites Jackson and Pollock, 3-sites Jackson and Pollock, 3-sites Pollock, and 1-point biceps.
Results
The formula with the most anatomic sites provided the best reliability quantified by the following measures: intraclass correlation coefficient (ICC) = 0.979 for Tester 1 (T1) and 0.985 for T2, technical error of measurement (TEM) = 1.07% BF for T1 and 0.89% BF for T2, and minimal detectable change (MDC) = 2.95% BF for T1, and 2.47% BF for T2. The intertester bias was −0.5% BF, whereas the intertester ICC was 0.972. The intertester MDC was 3.43% BF for the entire sample, 3.24% BF for men, and 3.65% BF for women.
Conclusions
A-mode US is highly reliable for %BF assessments, but it is more precise for men than for women. Examiner performance is a source of variability that needs to be mitigated to further improve the precision of this technique.</description><identifier>ISSN: 0954-3007</identifier><identifier>EISSN: 1476-5640</identifier><identifier>DOI: 10.1038/s41430-020-00743-y</identifier><identifier>PMID: 32917960</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>59 ; 639/766/930 ; 692/499 ; Adipose tissues ; Body composition ; Body fat ; Clinical Nutrition ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Epidemiology ; Error analysis ; Evaluation ; Internal Medicine ; Measurement ; Medicine ; Medicine & Public Health ; Men ; Metabolic Diseases ; Public Health ; Reliability analysis ; Thickness ; Ultrasonic imaging ; Ultrasonics in medicine ; Ultrasound ; Women</subject><ispartof>European journal of clinical nutrition, 2021-03, Vol.75 (3), p.438-445</ispartof><rights>The Author(s) 2020</rights><rights>COPYRIGHT 2021 Nature Publishing Group</rights><rights>The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c610t-ece183fc011f6d8ce11c5ed3f7f325771455626a821a27776da0364bc248c78b3</citedby><cites>FETCH-LOGICAL-c610t-ece183fc011f6d8ce11c5ed3f7f325771455626a821a27776da0364bc248c78b3</cites><orcidid>0000-0003-3871-2188 ; 0000-0002-7845-7639 ; 0000-0001-6801-3471</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1038/s41430-020-00743-y$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1038/s41430-020-00743-y$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27903,27904,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32917960$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Miclos-Balica, Monica</creatorcontrib><creatorcontrib>Muntean, Paul</creatorcontrib><creatorcontrib>Schick, Falk</creatorcontrib><creatorcontrib>Haragus, Horia G.</creatorcontrib><creatorcontrib>Glisici, Bogdan</creatorcontrib><creatorcontrib>Pupazan, Vasile</creatorcontrib><creatorcontrib>Neagu, Adrian</creatorcontrib><creatorcontrib>Neagu, Monica</creatorcontrib><title>Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample</title><title>European journal of clinical nutrition</title><addtitle>Eur J Clin Nutr</addtitle><addtitle>Eur J Clin Nutr</addtitle><description>Background/Objectives
Several studies have addressed the validity of ultrasound (US) for body composition assessment, but few have evaluated its reliability. This study aimed to determine the reliability of percent body fat (%BF) estimates using A-mode US in a heterogeneous sample.
Subjects/Methods
A group of 144 healthy adults (81 men and 63 women), 30.4 (10.1) years (mean (SD)), BMI 24.6 (4.7) kg/m
2
, completed 6 consecutive measurements of the subcutaneous fat layer thickness at 8 anatomical sites. The measurements were done, alternatively, by two testers, using a BodyMetrix™ instrument. To compute %BF, 4 formulas from the BodyView™ software were applied: 7-sites Jackson and Pollock, 3-sites Jackson and Pollock, 3-sites Pollock, and 1-point biceps.
Results
The formula with the most anatomic sites provided the best reliability quantified by the following measures: intraclass correlation coefficient (ICC) = 0.979 for Tester 1 (T1) and 0.985 for T2, technical error of measurement (TEM) = 1.07% BF for T1 and 0.89% BF for T2, and minimal detectable change (MDC) = 2.95% BF for T1, and 2.47% BF for T2. The intertester bias was −0.5% BF, whereas the intertester ICC was 0.972. The intertester MDC was 3.43% BF for the entire sample, 3.24% BF for men, and 3.65% BF for women.
Conclusions
A-mode US is highly reliable for %BF assessments, but it is more precise for men than for women. Examiner performance is a source of variability that needs to be mitigated to further improve the precision of this technique.</description><subject>59</subject><subject>639/766/930</subject><subject>692/499</subject><subject>Adipose tissues</subject><subject>Body composition</subject><subject>Body fat</subject><subject>Clinical Nutrition</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Epidemiology</subject><subject>Error analysis</subject><subject>Evaluation</subject><subject>Internal Medicine</subject><subject>Measurement</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Men</subject><subject>Metabolic Diseases</subject><subject>Public Health</subject><subject>Reliability analysis</subject><subject>Thickness</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonics in 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of body composition assessment using A-mode ultrasound in a heterogeneous sample</title><author>Miclos-Balica, Monica ; Muntean, Paul ; Schick, Falk ; Haragus, Horia G. ; Glisici, Bogdan ; Pupazan, Vasile ; Neagu, Adrian ; Neagu, Monica</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c610t-ece183fc011f6d8ce11c5ed3f7f325771455626a821a27776da0364bc248c78b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>59</topic><topic>639/766/930</topic><topic>692/499</topic><topic>Adipose tissues</topic><topic>Body composition</topic><topic>Body fat</topic><topic>Clinical Nutrition</topic><topic>Correlation analysis</topic><topic>Correlation coefficient</topic><topic>Correlation coefficients</topic><topic>Epidemiology</topic><topic>Error analysis</topic><topic>Evaluation</topic><topic>Internal Medicine</topic><topic>Measurement</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Men</topic><topic>Metabolic Diseases</topic><topic>Public Health</topic><topic>Reliability analysis</topic><topic>Thickness</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonics in medicine</topic><topic>Ultrasound</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miclos-Balica, Monica</creatorcontrib><creatorcontrib>Muntean, Paul</creatorcontrib><creatorcontrib>Schick, Falk</creatorcontrib><creatorcontrib>Haragus, Horia G.</creatorcontrib><creatorcontrib>Glisici, Bogdan</creatorcontrib><creatorcontrib>Pupazan, Vasile</creatorcontrib><creatorcontrib>Neagu, Adrian</creatorcontrib><creatorcontrib>Neagu, Monica</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Nursing & Allied Health 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Monica</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample</atitle><jtitle>European journal of clinical nutrition</jtitle><stitle>Eur J Clin Nutr</stitle><addtitle>Eur J Clin Nutr</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>75</volume><issue>3</issue><spage>438</spage><epage>445</epage><pages>438-445</pages><issn>0954-3007</issn><eissn>1476-5640</eissn><abstract>Background/Objectives
Several studies have addressed the validity of ultrasound (US) for body composition assessment, but few have evaluated its reliability. This study aimed to determine the reliability of percent body fat (%BF) estimates using A-mode US in a heterogeneous sample.
Subjects/Methods
A group of 144 healthy adults (81 men and 63 women), 30.4 (10.1) years (mean (SD)), BMI 24.6 (4.7) kg/m
2
, completed 6 consecutive measurements of the subcutaneous fat layer thickness at 8 anatomical sites. The measurements were done, alternatively, by two testers, using a BodyMetrix™ instrument. To compute %BF, 4 formulas from the BodyView™ software were applied: 7-sites Jackson and Pollock, 3-sites Jackson and Pollock, 3-sites Pollock, and 1-point biceps.
Results
The formula with the most anatomic sites provided the best reliability quantified by the following measures: intraclass correlation coefficient (ICC) = 0.979 for Tester 1 (T1) and 0.985 for T2, technical error of measurement (TEM) = 1.07% BF for T1 and 0.89% BF for T2, and minimal detectable change (MDC) = 2.95% BF for T1, and 2.47% BF for T2. The intertester bias was −0.5% BF, whereas the intertester ICC was 0.972. The intertester MDC was 3.43% BF for the entire sample, 3.24% BF for men, and 3.65% BF for women.
Conclusions
A-mode US is highly reliable for %BF assessments, but it is more precise for men than for women. Examiner performance is a source of variability that needs to be mitigated to further improve the precision of this technique.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32917960</pmid><doi>10.1038/s41430-020-00743-y</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0003-3871-2188</orcidid><orcidid>https://orcid.org/0000-0002-7845-7639</orcidid><orcidid>https://orcid.org/0000-0001-6801-3471</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Springer Nature - Complete Springer Journals |
| subjects | 59 639/766/930 692/499 Adipose tissues Body composition Body fat Clinical Nutrition Correlation analysis Correlation coefficient Correlation coefficients Epidemiology Error analysis Evaluation Internal Medicine Measurement Medicine Medicine & Public Health Men Metabolic Diseases Public Health Reliability analysis Thickness Ultrasonic imaging Ultrasonics in medicine Ultrasound Women |
| title | Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample |
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