Validation of InBody 770 bioelectrical impedance analysis compared to a four‐compartment model criterion in young adults
Background Multi‐frequency bioelectrical impedance analysis (MF‐BIA) offers enhanced body composition outcomes in a time‐efficient manner. The accuracy of stand‐up MF‐BIA compared against a four‐compartment (4C) criterion lacks evidence. Objectives To validate a stand‐up MF‐BIA compared to a 4C crit...
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Published in | Clinical physiology and functional imaging Vol. 41; no. 4; pp. 317 - 325 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.07.2021
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Abstract | Background
Multi‐frequency bioelectrical impedance analysis (MF‐BIA) offers enhanced body composition outcomes in a time‐efficient manner. The accuracy of stand‐up MF‐BIA compared against a four‐compartment (4C) criterion lacks evidence.
Objectives
To validate a stand‐up MF‐BIA compared to a 4C criterion for fat mass (FM), fat‐free mass (FFM) and body fat percentage (%fat).
Subjects/Methods
Eighty‐two healthy (32% men) normal‐weight (BMI: 18.5–24.9 kg/m2) young adults were measured for body composition determined from a stand‐up MF‐BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods.
Results
For the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg).
Conclusions
Stand‐up MF‐BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF‐BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal‐weight adults. The highest error was seen in %fat for both sexes, with greater error in women. |
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AbstractList | Background
Multi‐frequency bioelectrical impedance analysis (MF‐BIA) offers enhanced body composition outcomes in a time‐efficient manner. The accuracy of stand‐up MF‐BIA compared against a four‐compartment (4C) criterion lacks evidence.
Objectives
To validate a stand‐up MF‐BIA compared to a 4C criterion for fat mass (FM), fat‐free mass (FFM) and body fat percentage (%fat).
Subjects/Methods
Eighty‐two healthy (32% men) normal‐weight (BMI: 18.5–24.9 kg/m2) young adults were measured for body composition determined from a stand‐up MF‐BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods.
Results
For the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg).
Conclusions
Stand‐up MF‐BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF‐BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal‐weight adults. The highest error was seen in %fat for both sexes, with greater error in women. Multi-frequency bioelectrical impedance analysis (MF-BIA) offers enhanced body composition outcomes in a time-efficient manner. The accuracy of stand-up MF-BIA compared against a four-compartment (4C) criterion lacks evidence.BACKGROUNDMulti-frequency bioelectrical impedance analysis (MF-BIA) offers enhanced body composition outcomes in a time-efficient manner. The accuracy of stand-up MF-BIA compared against a four-compartment (4C) criterion lacks evidence.To validate a stand-up MF-BIA compared to a 4C criterion for fat mass (FM), fat-free mass (FFM) and body fat percentage (%fat).OBJECTIVESTo validate a stand-up MF-BIA compared to a 4C criterion for fat mass (FM), fat-free mass (FFM) and body fat percentage (%fat).Eighty-two healthy (32% men) normal-weight (BMI: 18.5-24.9 kg/m2 ) young adults were measured for body composition determined from a stand-up MF-BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods.SUBJECTS/METHODSEighty-two healthy (32% men) normal-weight (BMI: 18.5-24.9 kg/m2 ) young adults were measured for body composition determined from a stand-up MF-BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods.For the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg).RESULTSFor the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg).Stand-up MF-BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF-BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal-weight adults. The highest error was seen in %fat for both sexes, with greater error in women.CONCLUSIONSStand-up MF-BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF-BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal-weight adults. The highest error was seen in %fat for both sexes, with greater error in women. Multi-frequency bioelectrical impedance analysis (MF-BIA) offers enhanced body composition outcomes in a time-efficient manner. The accuracy of stand-up MF-BIA compared against a four-compartment (4C) criterion lacks evidence. To validate a stand-up MF-BIA compared to a 4C criterion for fat mass (FM), fat-free mass (FFM) and body fat percentage (%fat). Eighty-two healthy (32% men) normal-weight (BMI: 18.5-24.9 kg/m ) young adults were measured for body composition determined from a stand-up MF-BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods. For the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg). Stand-up MF-BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF-BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal-weight adults. The highest error was seen in %fat for both sexes, with greater error in women. BackgroundMulti‐frequency bioelectrical impedance analysis (MF‐BIA) offers enhanced body composition outcomes in a time‐efficient manner. The accuracy of stand‐up MF‐BIA compared against a four‐compartment (4C) criterion lacks evidence.ObjectivesTo validate a stand‐up MF‐BIA compared to a 4C criterion for fat mass (FM), fat‐free mass (FFM) and body fat percentage (%fat).Subjects/MethodsEighty‐two healthy (32% men) normal‐weight (BMI: 18.5–24.9 kg/m2) young adults were measured for body composition determined from a stand‐up MF‐BIA and 4C model. Validity statistics included total error (TE) and standard error of the estimate (SEE) to examine prediction error between methods.ResultsFor the total sample, prediction error was the highest for %fat (TE = 4.2%; SEE = 3.9%) followed by FM (TE = 2.4 kg; SEE = 2.2 kg) and FFM (TE = 2.4 kg; SEE = 2.2 kg). In men, %fat (TE = 2.5%; SEE = 2.2%) and FM (TE = 1.9 kg; SEE = 1.6 kg) were ideal; FFM was similar to FM (TE = 1.9 kg; SEE = 1.6 kg). In women, %fat (TE = 4.7%; SEE = 4.4%) ranged from good to fairly good, and FM was very good to excellent (TE = 2.6 kg; SEE = 2.4 kg); FFM was similar to FM (TE = 2.6 kg; SEE = 2.3 kg).ConclusionsStand‐up MF‐BIA may overestimate %fat and FM, and underestimate FFM compared to a 4C model. FM and FFM estimates from MF‐BIA demonstrate good agreement to a 4C model and may be a practical measure of body composition in normal‐weight adults. The highest error was seen in %fat for both sexes, with greater error in women. |
Author | Saylor, Hannah E. Gould, Lacey M. Brewer, Gabrielle J. Blue, Malia N.M. Hirsch, Katie R. Smith‐Ryan, Abbie E. Nelson, Alyson G. |
Author_xml | – sequence: 1 givenname: Gabrielle J. orcidid: 0000-0003-0955-829X surname: Brewer fullname: Brewer, Gabrielle J. organization: The University of North Carolina – sequence: 2 givenname: Malia N.M. surname: Blue fullname: Blue, Malia N.M. organization: University of North Carolina – sequence: 3 givenname: Katie R. surname: Hirsch fullname: Hirsch, Katie R. organization: University of North Carolina – sequence: 4 givenname: Hannah E. surname: Saylor fullname: Saylor, Hannah E. organization: University of North Carolina – sequence: 5 givenname: Lacey M. surname: Gould fullname: Gould, Lacey M. organization: The University of North Carolina – sequence: 6 givenname: Alyson G. surname: Nelson fullname: Nelson, Alyson G. organization: The University of North Carolina – sequence: 7 givenname: Abbie E. orcidid: 0000-0002-5405-304X surname: Smith‐Ryan fullname: Smith‐Ryan, Abbie E. email: abbsmith@email.unc.edu organization: University of North Carolina |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33752260$$D View this record in MEDLINE/PubMed |
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ContentType | Journal Article |
Copyright | 2021 Scandinavian Society of Clinical Physiology and Nuclear Medicine. Published by John Wiley & Sons Ltd 2021 Scandinavian Society of Clinical Physiology and Nuclear Medicine. Published by John Wiley & Sons Ltd. Copyright © 2021 Scandinavian Society of Clinical Physiology and Nuclear Medicine |
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Keywords | fat-free mass body composition per cent body fat sex differences fat mass |
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Notes | Funding information There is no funding to disclose for this manuscript. The Inbody 770 device was loaned to the laboratory, free of charge, for research purposes. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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Multi‐frequency bioelectrical impedance analysis (MF‐BIA) offers enhanced body composition outcomes in a time‐efficient manner. The accuracy of... Multi-frequency bioelectrical impedance analysis (MF-BIA) offers enhanced body composition outcomes in a time-efficient manner. The accuracy of stand-up MF-BIA... BackgroundMulti‐frequency bioelectrical impedance analysis (MF‐BIA) offers enhanced body composition outcomes in a time‐efficient manner. The accuracy of... |
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SubjectTerms | Adults Bioelectricity Body composition Body fat Criteria fat mass fat‐free mass Frequency analysis Impedance Men per cent body fat sex differences Standard error Statistical analysis Weight Women Young adults |
Title | Validation of InBody 770 bioelectrical impedance analysis compared to a four‐compartment model criterion in young adults |
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