Concordance between muscle mass assessed by bioelectrical impedance analysis and by dual energy X-ray absorptiometry: a cross-sectional study
Background Besides magnetic resonance imaging , dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expe...
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| Published in | BMC musculoskeletal disorders Vol. 16; no. 1; p. 60 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
18.03.2015
BioMed Central Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1471-2474 1471-2474 |
| DOI | 10.1186/s12891-015-0510-9 |
Cover
| Abstract | Background
Besides magnetic resonance imaging
,
dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation.
Methods
Body composition, included appendicular lean mass divided by height squared (ALM/ht
2
) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones.
Results
A total of 219 subjects were enrolled in this study (mean age: 43.7 ± 19.1 years old, 51.6% of women). For the ALM/ht
2
, reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht
2
assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht
2
was 9.19 ± 1.39 kg/m
2
with BIA and 7.34 ± 1.34 kg/m
2
with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht
2
assessed by DXA.
Conclusions
Although our results show that the measure of ALM/ht
2
by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht
2
compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA. |
|---|---|
| AbstractList | Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation.
Body composition, included appendicular lean mass divided by height squared (ALM/ht(2)) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones.
A total of 219 subjects were enrolled in this study (mean age: 43.7 ± 19.1 years old, 51.6% of women). For the ALM/ht(2), reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht(2) assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht(2) was 9.19 ± 1.39 kg/m(2) with BIA and 7.34 ± 1.34 kg/m(2) with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht(2) assessed by DXA.
Although our results show that the measure of ALM/ht(2) by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht(2) compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA. Background Besides magnetic resonance imaging , dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation. Methods Body composition, included appendicular lean mass divided by height squared (ALM/ht 2 ) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones. Results A total of 219 subjects were enrolled in this study (mean age: 43.7 ± 19.1 years old, 51.6% of women). For the ALM/ht 2 , reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht 2 assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht 2 was 9.19 ± 1.39 kg/m 2 with BIA and 7.34 ± 1.34 kg/m 2 with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht 2 assessed by DXA. Conclusions Although our results show that the measure of ALM/ht 2 by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht 2 compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA. Background Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation. Methods Body composition, included appendicular lean mass divided by height squared (ALM/ht.sup.2) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones. Results A total of 219 subjects were enrolled in this study (mean age: 43.7 [+ or -] 19.1 years old, 51.6% of women). For the ALM/ht.sup.2, reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht.sup.2 assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht.sup.2 was 9.19 [+ or -] 1.39 kg/m.sup.2 with BIA and 7.34 [+ or -] 1.34 kg/m.sup.2 with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht.sup.2 assessed by DXA. Conclusions Although our results show that the measure of ALM/ht.sup.2 by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht.sup.2 compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA. Keywords: BIA, Muscle mass, Appendicular lean mass, DXA Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation. Body composition, included appendicular lean mass divided by height squared (ALM/ht.sup.2) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones. A total of 219 subjects were enrolled in this study (mean age: 43.7 [+ or -] 19.1 years old, 51.6% of women). For the ALM/ht.sup.2, reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht.sup.2 assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht.sup.2 was 9.19 [+ or -] 1.39 kg/m.sup.2 with BIA and 7.34 [+ or -] 1.34 kg/m.sup.2 with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht.sup.2 assessed by DXA. Although our results show that the measure of ALM/ht.sup.2 by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht.sup.2 compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA. Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation.BACKGROUNDBesides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as the gold standard in clinical practice. Bioelectrical impedance analysis (BIA) could provide a simpler, portative, and less expensive alternative. Because the body composition assessment by BIA is device-dependent, the aim of this study was to appraise the concordance between the specific bioelectrical impedance device InBody S10 and DXA for the body composition evaluation.Body composition, included appendicular lean mass divided by height squared (ALM/ht(2)) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones.METHODSBody composition, included appendicular lean mass divided by height squared (ALM/ht(2)) was measured by DXA (Hologic QDR Discovery device) and by BIA (InBody S10 Biospace device). Agreement between tools was assessed by means of the Bland Altman method and reliability was determined using the IntraClass Coefficient (ICC). ICC was also computed to assess the reliability of the test-retest performed by the same operator or by two different ones.A total of 219 subjects were enrolled in this study (mean age: 43.7 ± 19.1 years old, 51.6% of women). For the ALM/ht(2), reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht(2) assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht(2) was 9.19 ± 1.39 kg/m(2) with BIA and 7.34 ± 1.34 kg/m(2) with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht(2) assessed by DXA.RESULTSA total of 219 subjects were enrolled in this study (mean age: 43.7 ± 19.1 years old, 51.6% of women). For the ALM/ht(2), reliability of the test-retest of the BIA was high with an ICC of 0.89 (95%CI: 0.86-0.92) when performed by the same operator and an ICC of 0.77 (95%CI: 0.72-0.82) when performed by two different operators. Agreement between ALM/ht(2) assessed by DXA and BIA was low (ICC = 0.37 (95%CI: 0.25-0.48)). Mean ALM/ht(2) was 9.19 ± 1.39 kg/m(2) with BIA and 7.34 ± 1.34 kg/m(2) with DXA, (p < 0001). A formula developed using a multiple regression analysis, and taking into account muscle mass assessed by BIA, as well as sex and body mass index, explains 89% of the ALM/ht(2) assessed by DXA.Although our results show that the measure of ALM/ht(2) by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht(2) compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA.CONCLUSIONSAlthough our results show that the measure of ALM/ht(2) by BIA is reliable, the agreement between DXA and BIA is low. Indeed, BIA seems to overestimate ALM/ht(2) compared to DXA and, consequently, it is important to use an adapted formula to obtain measurement of the appendicular lean mass by BIA close to that measured by DXA. |
| ArticleNumber | 60 |
| Audience | Academic |
| Author | Buckinx, Fanny Beaudart, Charlotte Dardenne, Nadia Slomian, Justine Bruyère, Olivier Reginster, Jean-Yves Kaux, Jean-François Croisiser, Jean-Louis |
| Author_xml | – sequence: 1 givenname: Fanny surname: Buckinx fullname: Buckinx, Fanny email: fanny.buckinx@ulg.ac.be organization: Department of Public Health, Epidemiology and Health Economics, University of Liège, Support Unit in Epidemiology and Biostatistics, University of Liège – sequence: 2 givenname: Jean-Yves surname: Reginster fullname: Reginster, Jean-Yves organization: Department of Public Health, Epidemiology and Health Economics, University of Liège, Bone Metabolism Department, CHU Liège, Public Health Department, CHU Liège, Bone and Cartilage Metabolism Department, CHU Liège – sequence: 3 givenname: Nadia surname: Dardenne fullname: Dardenne, Nadia organization: Department of Public Health, Epidemiology and Health Economics, University of Liège, Support Unit in Epidemiology and Biostatistics, University of Liège – sequence: 4 givenname: Jean-Louis surname: Croisiser fullname: Croisiser, Jean-Louis organization: Department of Motricity Sciences, University of Liège – sequence: 5 givenname: Jean-François surname: Kaux fullname: Kaux, Jean-François organization: Department of Motricity Sciences, University of Liège, Department of Physical Medicine and Functional Rehabilitation, CHU of Liège – sequence: 6 givenname: Charlotte surname: Beaudart fullname: Beaudart, Charlotte organization: Department of Public Health, Epidemiology and Health Economics, University of Liège, Support Unit in Epidemiology and Biostatistics, University of Liège – sequence: 7 givenname: Justine surname: Slomian fullname: Slomian, Justine organization: Department of Public Health, Epidemiology and Health Economics, University of Liège, Support Unit in Epidemiology and Biostatistics, University of Liège – sequence: 8 givenname: Olivier surname: Bruyère fullname: Bruyère, Olivier organization: Department of Public Health, Epidemiology and Health Economics, University of Liège, Support Unit in Epidemiology and Biostatistics, University of Liège, Department of Motricity Sciences, University of Liège |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25887598$$D View this record in MEDLINE/PubMed |
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| ContentType | Journal Article |
| Copyright | Buckinx et al.; licensee BioMed Central. 2015 COPYRIGHT 2015 BioMed Central Ltd. |
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| Snippet | Background
Besides magnetic resonance imaging
,
dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often... Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often considered as... Background Besides magnetic resonance imaging, dual energy X-ray absorptiometry (DXA) seems the most reliable tool to evaluate body composition and is often... |
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| SubjectTerms | Absorptiometry, Photon - methods Adult Analysis Body Composition - physiology Body Height - physiology Body Mass Index Cross-Sectional Studies Electric Impedance Epidemiology Epidemiology of musculoskeletal disorders Female Humans Internal Medicine Male Medicine Medicine & Public Health Middle Aged Muscle, Skeletal - physiology Observer Variation Orthopedics Physiological aspects Rehabilitation Reproducibility of Results Research Article Rheumatology Sex Factors Sports Medicine Type 2 diabetes |
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| Title | Concordance between muscle mass assessed by bioelectrical impedance analysis and by dual energy X-ray absorptiometry: a cross-sectional study |
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