DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips
The proper assessment and follow-up of obesity and sarcopenia are relevant for the proper management of the complications of cardiometabolic and musculoskeletal frailty. A total body dual-energy X-ray absorptiometry (DXA) scan should be systematically incorporated in the rehabilitative routine manag...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2021-10-01
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| Series: | Frontiers in Rehabilitation Sciences |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fresc.2021.712977/full |
| _version_ | 1797972716303679488 |
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| author | Marco A. Minetto Chiara Busso Piera Lalli Giulia Gamerro Giuseppe Massazza |
| author_facet | Marco A. Minetto Chiara Busso Piera Lalli Giulia Gamerro Giuseppe Massazza |
| author_sort | Marco A. Minetto |
| collection | DOAJ |
| description | The proper assessment and follow-up of obesity and sarcopenia are relevant for the proper management of the complications of cardiometabolic and musculoskeletal frailty. A total body dual-energy X-ray absorptiometry (DXA) scan should be systematically incorporated in the rehabilitative routine management of patients with obesity and sarcopenia. In the former patients, the total body DXA can be used to assess the fat tissue amount and distribution, while in the latter patients, it can be used to quantify the reduction of appendicular lean mass and to investigate the inter-limb lean mass asymmetry. This tutorial article provides an overview of different DXA-derived fat and lean indices and describes a step-by-step procedure on how to produce a complete DXA report. We suggest that the systematic incorporation of these indices into routine examinations of the patients with obesity and sarcopenia can be useful for identifying the patients at risk for cardiometabolic and neuromuscular impairment-related comorbidities and for evaluating the effectiveness of pharmacological and rehabilitative interventions. |
| first_indexed | 2024-04-11T03:52:55Z |
| format | Article |
| id | doaj.art-4c93361719e445169ece59281bedcfd6 |
| institution | Directory Open Access Journal |
| issn | 2673-6861 |
| language | English |
| last_indexed | 2024-04-11T03:52:55Z |
| publishDate | 2021-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Rehabilitation Sciences |
| spelling | doaj.art-4c93361719e445169ece59281bedcfd62023-01-02T01:21:51ZengFrontiers Media S.A.Frontiers in Rehabilitation Sciences2673-68612021-10-01210.3389/fresc.2021.712977712977DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting TipsMarco A. MinettoChiara BussoPiera LalliGiulia GamerroGiuseppe MassazzaThe proper assessment and follow-up of obesity and sarcopenia are relevant for the proper management of the complications of cardiometabolic and musculoskeletal frailty. A total body dual-energy X-ray absorptiometry (DXA) scan should be systematically incorporated in the rehabilitative routine management of patients with obesity and sarcopenia. In the former patients, the total body DXA can be used to assess the fat tissue amount and distribution, while in the latter patients, it can be used to quantify the reduction of appendicular lean mass and to investigate the inter-limb lean mass asymmetry. This tutorial article provides an overview of different DXA-derived fat and lean indices and describes a step-by-step procedure on how to produce a complete DXA report. We suggest that the systematic incorporation of these indices into routine examinations of the patients with obesity and sarcopenia can be useful for identifying the patients at risk for cardiometabolic and neuromuscular impairment-related comorbidities and for evaluating the effectiveness of pharmacological and rehabilitative interventions.https://www.frontiersin.org/articles/10.3389/fresc.2021.712977/fullfat massfrailtylean massmuscle massvisceral adipose tissue |
| spellingShingle | Marco A. Minetto Chiara Busso Piera Lalli Giulia Gamerro Giuseppe Massazza DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips Frontiers in Rehabilitation Sciences fat mass frailty lean mass muscle mass visceral adipose tissue |
| title | DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips |
| title_full | DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips |
| title_fullStr | DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips |
| title_full_unstemmed | DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips |
| title_short | DXA-Derived Adiposity and Lean Indices for Management of Cardiometabolic and Musculoskeletal Frailty: Data Interpretation Tricks and Reporting Tips |
| title_sort | dxa derived adiposity and lean indices for management of cardiometabolic and musculoskeletal frailty data interpretation tricks and reporting tips |
| topic | fat mass frailty lean mass muscle mass visceral adipose tissue |
| url | https://www.frontiersin.org/articles/10.3389/fresc.2021.712977/full |
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