Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets
Abstract Introduction Bioelectrical impedance analysis (BIA) is a practical and rapid method for making a longitudinal analysis of changes in body composition. However, most BIA validation studies have been performed in a clinical population and only at one moment, or point in time (cross-sectional...
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description | Abstract
Introduction
Bioelectrical impedance analysis (BIA) is a practical and rapid method for making a longitudinal analysis of changes in body composition. However, most BIA validation studies have been performed in a clinical population and only at one moment, or point in time (cross-sectional study). The aim of this study is to investigate the accuracy of predictive equations based on BIA with regard to the changes in fat-free mass (FFM) in Brazilian male army cadets after 7 mo of military training. The values used were determined using dual-energy X-ray absorptiometry (DXA) as a reference method.
Materials and Methods
The study included 310 male Brazilian Army cadets (aged 17–24 yr). FFM was measured using eight general predictive BIA equations, with one equation specifically applied to this population sample, and the values were compared with results obtained using DXA. The student’s t-test, adjusted coefficient of determination (R2), standard error of estimation (SEE), Lin’s approach, and the Bland–Altman test were used to determine the accuracy of the predictive BIA equations used to estimate FFM in this population and between the two moments (pre- and post-moment).
Results
The FFM measured using the nine predictive BIA equations, and determined using DXA at the post-moment, showed a significant increase when compared with the pre-moment (p < 0.05). All nine predictive BIA equations were able to detect FFM changes in the army cadets between the two moments in a very similar way to the reference method (DXA). However, only the one BIA equation specific to this population showed no significant differences in the FFM estimation between DXA at pre- and post-moment of military routine. All predictive BIA equations showed large limits of agreement using the Bland–Altman approach.
Conclusion
The eight general predictive BIA equations used in this study were not found to be valid for analyzing the FFM changes in the Brazilian male army cadets, after a period of approximately 7 mo of military training. Although the BIA equation specific to this population is dependent on the amount of FFM, it appears to be a good alternative to DXA for assessing FFM in Brazilian male army cadets. |
doi_str_mv | 10.1093/milmed/usx223 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2019812591</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><oup_id>10.1093/milmed/usx223</oup_id><sourcerecordid>2019812591</sourcerecordid><originalsourceid>FETCH-LOGICAL-c393t-57ebf4278ba1b03c0e922fa071ddade0ac9648b568d5fad1ebe9fc46527afa503</originalsourceid><addsrcrecordid>eNqFkU1r3DAQhkVpabZpj7kWQS-5uBlJtmwdt0s2DWzIJYXezFgaJwr-qmRD9t9Hm00o9NKTYPTwMPO-jJ0J-C7AqIvedz25iyU-SanesZUwCjIt1O_3bAUgdZZDWZywTzE-AojcVOIjO5GmMJCXsGLT2toloN3zseU__Egd2Tl4ix2_7idyOFji6wG7ffSR-4Ffxtn3OJPju3G49_PifPrlW5yzbSDiNxgj3zzgcE8v_A12SRD6Pd-gozl-Zh9a7CJ9eX1P2a_t5d3mZ7a7vbrerHeZVUbNWVFS0-ayrBoUDSgLZKRsEUrhXPIAWqPzqil05YoWnaCGTGtzXcgSWyxAnbLzo3cK45-F4lz3PlrqOhxoXGItQaQsZGFEQr_9gz6OS0hXHSitKtDa6ERlR8qGMcZAbT2FlETY1wLqQxX1sYr6WEXiv75al-YwfqPfsv-74bhM_3E9A7iplTA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2063806696</pqid></control><display><type>article</type><title>Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets</title><source>Oxford University Press Journals All Titles (1996-Current)</source><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Langer, Raquel D ; Matias, Catarina N ; Borges, Juliano H ; Cirolini, Vagner X ; Páscoa, Mauro A ; Guerra-Júnior, Gil ; Gonçalves, Ezequiel M</creator><creatorcontrib>Langer, Raquel D ; Matias, Catarina N ; Borges, Juliano H ; Cirolini, Vagner X ; Páscoa, Mauro A ; Guerra-Júnior, Gil ; Gonçalves, Ezequiel M</creatorcontrib><description>Abstract
Introduction
Bioelectrical impedance analysis (BIA) is a practical and rapid method for making a longitudinal analysis of changes in body composition. However, most BIA validation studies have been performed in a clinical population and only at one moment, or point in time (cross-sectional study). The aim of this study is to investigate the accuracy of predictive equations based on BIA with regard to the changes in fat-free mass (FFM) in Brazilian male army cadets after 7 mo of military training. The values used were determined using dual-energy X-ray absorptiometry (DXA) as a reference method.
Materials and Methods
The study included 310 male Brazilian Army cadets (aged 17–24 yr). FFM was measured using eight general predictive BIA equations, with one equation specifically applied to this population sample, and the values were compared with results obtained using DXA. The student’s t-test, adjusted coefficient of determination (R2), standard error of estimation (SEE), Lin’s approach, and the Bland–Altman test were used to determine the accuracy of the predictive BIA equations used to estimate FFM in this population and between the two moments (pre- and post-moment).
Results
The FFM measured using the nine predictive BIA equations, and determined using DXA at the post-moment, showed a significant increase when compared with the pre-moment (p < 0.05). All nine predictive BIA equations were able to detect FFM changes in the army cadets between the two moments in a very similar way to the reference method (DXA). However, only the one BIA equation specific to this population showed no significant differences in the FFM estimation between DXA at pre- and post-moment of military routine. All predictive BIA equations showed large limits of agreement using the Bland–Altman approach.
Conclusion
The eight general predictive BIA equations used in this study were not found to be valid for analyzing the FFM changes in the Brazilian male army cadets, after a period of approximately 7 mo of military training. Although the BIA equation specific to this population is dependent on the amount of FFM, it appears to be a good alternative to DXA for assessing FFM in Brazilian male army cadets.</description><identifier>ISSN: 0026-4075</identifier><identifier>EISSN: 1930-613X</identifier><identifier>DOI: 10.1093/milmed/usx223</identifier><identifier>PMID: 29590470</identifier><language>eng</language><publisher>England: Oxford University Press</publisher><subject>Adolescent ; Armed forces ; Body composition ; Body Composition - physiology ; Body Mass Index ; Body Weight Maintenance - physiology ; Brazil ; Cross-Sectional Studies ; Electric Impedance - therapeutic use ; Electrolytes ; Ethnicity ; Exercise ; Female ; Humans ; Longitudinal Studies ; Male ; Military personnel ; Military Personnel - statistics & numerical data ; Military training ; Reproducibility of Results ; Teenagers ; Young Adult</subject><ispartof>Military medicine, 2018-07, Vol.183 (7-8), p.e324-e331</ispartof><rights>Association of Military Surgeons of the United States 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2018</rights><rights>Copyright Oxford University Press Jul/Aug 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c393t-57ebf4278ba1b03c0e922fa071ddade0ac9648b568d5fad1ebe9fc46527afa503</citedby><cites>FETCH-LOGICAL-c393t-57ebf4278ba1b03c0e922fa071ddade0ac9648b568d5fad1ebe9fc46527afa503</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,1578,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29590470$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Langer, Raquel D</creatorcontrib><creatorcontrib>Matias, Catarina N</creatorcontrib><creatorcontrib>Borges, Juliano H</creatorcontrib><creatorcontrib>Cirolini, Vagner X</creatorcontrib><creatorcontrib>Páscoa, Mauro A</creatorcontrib><creatorcontrib>Guerra-Júnior, Gil</creatorcontrib><creatorcontrib>Gonçalves, Ezequiel M</creatorcontrib><title>Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets</title><title>Military medicine</title><addtitle>Mil Med</addtitle><description>Abstract
Introduction
Bioelectrical impedance analysis (BIA) is a practical and rapid method for making a longitudinal analysis of changes in body composition. However, most BIA validation studies have been performed in a clinical population and only at one moment, or point in time (cross-sectional study). The aim of this study is to investigate the accuracy of predictive equations based on BIA with regard to the changes in fat-free mass (FFM) in Brazilian male army cadets after 7 mo of military training. The values used were determined using dual-energy X-ray absorptiometry (DXA) as a reference method.
Materials and Methods
The study included 310 male Brazilian Army cadets (aged 17–24 yr). FFM was measured using eight general predictive BIA equations, with one equation specifically applied to this population sample, and the values were compared with results obtained using DXA. The student’s t-test, adjusted coefficient of determination (R2), standard error of estimation (SEE), Lin’s approach, and the Bland–Altman test were used to determine the accuracy of the predictive BIA equations used to estimate FFM in this population and between the two moments (pre- and post-moment).
Results
The FFM measured using the nine predictive BIA equations, and determined using DXA at the post-moment, showed a significant increase when compared with the pre-moment (p < 0.05). All nine predictive BIA equations were able to detect FFM changes in the army cadets between the two moments in a very similar way to the reference method (DXA). However, only the one BIA equation specific to this population showed no significant differences in the FFM estimation between DXA at pre- and post-moment of military routine. All predictive BIA equations showed large limits of agreement using the Bland–Altman approach.
Conclusion
The eight general predictive BIA equations used in this study were not found to be valid for analyzing the FFM changes in the Brazilian male army cadets, after a period of approximately 7 mo of military training. Although the BIA equation specific to this population is dependent on the amount of FFM, it appears to be a good alternative to DXA for assessing FFM in Brazilian male army cadets.</description><subject>Adolescent</subject><subject>Armed forces</subject><subject>Body composition</subject><subject>Body Composition - physiology</subject><subject>Body Mass Index</subject><subject>Body Weight Maintenance - physiology</subject><subject>Brazil</subject><subject>Cross-Sectional Studies</subject><subject>Electric Impedance - therapeutic use</subject><subject>Electrolytes</subject><subject>Ethnicity</subject><subject>Exercise</subject><subject>Female</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Military personnel</subject><subject>Military Personnel - statistics & numerical data</subject><subject>Military training</subject><subject>Reproducibility of Results</subject><subject>Teenagers</subject><subject>Young Adult</subject><issn>0026-4075</issn><issn>1930-613X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkU1r3DAQhkVpabZpj7kWQS-5uBlJtmwdt0s2DWzIJYXezFgaJwr-qmRD9t9Hm00o9NKTYPTwMPO-jJ0J-C7AqIvedz25iyU-SanesZUwCjIt1O_3bAUgdZZDWZywTzE-AojcVOIjO5GmMJCXsGLT2toloN3zseU__Egd2Tl4ix2_7idyOFji6wG7ffSR-4Ffxtn3OJPju3G49_PifPrlW5yzbSDiNxgj3zzgcE8v_A12SRD6Pd-gozl-Zh9a7CJ9eX1P2a_t5d3mZ7a7vbrerHeZVUbNWVFS0-ayrBoUDSgLZKRsEUrhXPIAWqPzqil05YoWnaCGTGtzXcgSWyxAnbLzo3cK45-F4lz3PlrqOhxoXGItQaQsZGFEQr_9gz6OS0hXHSitKtDa6ERlR8qGMcZAbT2FlETY1wLqQxX1sYr6WEXiv75al-YwfqPfsv-74bhM_3E9A7iplTA</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Langer, Raquel D</creator><creator>Matias, Catarina N</creator><creator>Borges, Juliano H</creator><creator>Cirolini, Vagner X</creator><creator>Páscoa, Mauro A</creator><creator>Guerra-Júnior, Gil</creator><creator>Gonçalves, Ezequiel M</creator><general>Oxford University Press</general><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>3V.</scope><scope>4T-</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88F</scope><scope>88G</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9-</scope><scope>K9.</scope><scope>KB0</scope><scope>M0R</scope><scope>M0S</scope><scope>M1P</scope><scope>M1Q</scope><scope>M2M</scope><scope>M2P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>20180701</creationdate><title>Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets</title><author>Langer, Raquel D ; Matias, Catarina N ; Borges, Juliano H ; Cirolini, Vagner X ; Páscoa, Mauro A ; Guerra-Júnior, Gil ; Gonçalves, Ezequiel M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c393t-57ebf4278ba1b03c0e922fa071ddade0ac9648b568d5fad1ebe9fc46527afa503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Armed forces</topic><topic>Body composition</topic><topic>Body Composition - physiology</topic><topic>Body Mass Index</topic><topic>Body Weight Maintenance - physiology</topic><topic>Brazil</topic><topic>Cross-Sectional Studies</topic><topic>Electric Impedance - therapeutic use</topic><topic>Electrolytes</topic><topic>Ethnicity</topic><topic>Exercise</topic><topic>Female</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Military personnel</topic><topic>Military Personnel - statistics & numerical data</topic><topic>Military training</topic><topic>Reproducibility of Results</topic><topic>Teenagers</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Langer, Raquel D</creatorcontrib><creatorcontrib>Matias, Catarina N</creatorcontrib><creatorcontrib>Borges, Juliano H</creatorcontrib><creatorcontrib>Cirolini, Vagner X</creatorcontrib><creatorcontrib>Páscoa, Mauro A</creatorcontrib><creatorcontrib>Guerra-Júnior, Gil</creatorcontrib><creatorcontrib>Gonçalves, Ezequiel M</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>Docstoc</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Military Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</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>eLibrary</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 Central Student</collection><collection>SciTech Premium Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Military Database</collection><collection>ProQuest Psychology</collection><collection>Science Database</collection><collection>Nursing & Allied Health Premium</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 One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Military medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Langer, Raquel D</au><au>Matias, Catarina N</au><au>Borges, Juliano H</au><au>Cirolini, Vagner X</au><au>Páscoa, Mauro A</au><au>Guerra-Júnior, Gil</au><au>Gonçalves, Ezequiel M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets</atitle><jtitle>Military medicine</jtitle><addtitle>Mil Med</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>183</volume><issue>7-8</issue><spage>e324</spage><epage>e331</epage><pages>e324-e331</pages><issn>0026-4075</issn><eissn>1930-613X</eissn><abstract>Abstract
Introduction
Bioelectrical impedance analysis (BIA) is a practical and rapid method for making a longitudinal analysis of changes in body composition. However, most BIA validation studies have been performed in a clinical population and only at one moment, or point in time (cross-sectional study). The aim of this study is to investigate the accuracy of predictive equations based on BIA with regard to the changes in fat-free mass (FFM) in Brazilian male army cadets after 7 mo of military training. The values used were determined using dual-energy X-ray absorptiometry (DXA) as a reference method.
Materials and Methods
The study included 310 male Brazilian Army cadets (aged 17–24 yr). FFM was measured using eight general predictive BIA equations, with one equation specifically applied to this population sample, and the values were compared with results obtained using DXA. The student’s t-test, adjusted coefficient of determination (R2), standard error of estimation (SEE), Lin’s approach, and the Bland–Altman test were used to determine the accuracy of the predictive BIA equations used to estimate FFM in this population and between the two moments (pre- and post-moment).
Results
The FFM measured using the nine predictive BIA equations, and determined using DXA at the post-moment, showed a significant increase when compared with the pre-moment (p < 0.05). All nine predictive BIA equations were able to detect FFM changes in the army cadets between the two moments in a very similar way to the reference method (DXA). However, only the one BIA equation specific to this population showed no significant differences in the FFM estimation between DXA at pre- and post-moment of military routine. All predictive BIA equations showed large limits of agreement using the Bland–Altman approach.
Conclusion
The eight general predictive BIA equations used in this study were not found to be valid for analyzing the FFM changes in the Brazilian male army cadets, after a period of approximately 7 mo of military training. Although the BIA equation specific to this population is dependent on the amount of FFM, it appears to be a good alternative to DXA for assessing FFM in Brazilian male army cadets.</abstract><cop>England</cop><pub>Oxford University Press</pub><pmid>29590470</pmid><doi>10.1093/milmed/usx223</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Armed forces Body composition Body Composition - physiology Body Mass Index Body Weight Maintenance - physiology Brazil Cross-Sectional Studies Electric Impedance - therapeutic use Electrolytes Ethnicity Exercise Female Humans Longitudinal Studies Male Military personnel Military Personnel - statistics & numerical data Military training Reproducibility of Results Teenagers Young Adult |
title | Accuracy of Bioelectrical Impedance Analysis in Estimated Longitudinal Fat-Free Mass Changes in Male Army Cadets |
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