| Title |
Combination of DXA and BIS body composition measurements is highly correlated with physical function—an approach to improve muscle mass assessment
|
|---|---|
| Published in |
Archives of Osteoporosis, September 2018
|
| DOI | 10.1007/s11657-018-0508-7 |
| Pubmed ID | |
| Authors |
Adam J. Kuchnia, Yosuke Yamada, Levi Teigen, Diane Krueger, Neil Binkley, Dale Schoeller |
| Abstract |
Fluid volume estimates may help predict functional status and thereby improve sarcopenia diagnosis. Bioimpedance-derived fluid volume, combined with DXA, improves identification of jump power over traditional measures. DXA-measured lean mass should be corrected for fluid distribution in older populations; this may be a surrogate of muscle quality. Sarcopenia, the age-related loss of muscle mass and function, negatively impacts functional status, quality of life, and mortality. We aimed to determine if bioimpedance spectroscopy (BIS)-derived estimates of body water compartments can be used in conjunction with dual-energy X-ray absorptiometry (DXA) measures to aid in the prediction of functional status and thereby, ultimately, improve the diagnosis of sarcopenia. Participants (≥ 70 years) had physical and muscle function tests, DXA, and BIS performed. Using a BMI correction method, intracellular water (ICWc), extracellular water (ECWc), and ECWc to ICWc (E/Ic) ratio was estimated from standard BIS measures. Jump power was assessed using jump mechanography. The traditional measure used to diagnose sarcopenia, DXA-derived appendicular lean mass (ALM) corrected for height (ALM/ht2), was the least predictive measure explaining jump power variability (r2 = 0.31, p < 0.0001). The best measure for explaining jump power was a novel variable combining DXA ALM and BIS-derived E/Ic ratio (ALM/(E/Ic); r2 = 0.70, p < 0.0001). ALM/(E/Ic) and ICWc had the highest correlation with jump power and grip strength, specifically jump power (r = 0.84 and r = 0.80, respectively; p < 0.0001). The creation of a novel variable (ALM/(E/Ic)) improved the ability of DXA to predict jump power in an older population. ALM/(E/Ic) substantially outperformed traditional lean mass measures of sarcopenia and could well be an improved diagnostic approach to predict functional status. DXA-measured ALM should be corrected for fluid distribution, i.e., ALM/(E/Ic); this correction may be considered a surrogate of muscle quality. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 1 | 20% |
| Venezuela, Bolivarian Republic of | 1 | 20% |
| Japan | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 5 | 11% |
| Student > Bachelor | 4 | 9% |
| Student > Ph. D. Student | 4 | 9% |
| Student > Master | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 8 | 18% |
| Unknown | 18 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 13% |
| Nursing and Health Professions | 5 | 11% |
| Sports and Recreations | 4 | 9% |
| Arts and Humanities | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 21 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 August 2020.
All research outputs
#13,390,039
of 23,103,436 outputs
Outputs from Archives of Osteoporosis
#251
of 648 outputs
Outputs of similar age
#166,744
of 337,432 outputs
Outputs of similar age from Archives of Osteoporosis
#7
of 18 outputs
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