Author
Listed:
- Oscar Crisafulli
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy)
- Luca Grattarola
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy)
- Giorgio Bottoni
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy)
- Jessica Lacetera
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy)
- Emanuela Lavaselli
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy)
- Matteo Beretta-Piccoli
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
Rehabilitation Research Laboratory 2rLab, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland)
- Rossella Tupler
(Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy)
- Emiliano Soldini
(Competence Centre for Healthcare Practices and Policies, Department of Business Economics, Health and Social Care, University of Applied Sciences and Arts of Southern Switzerland, 6928 Manno, Switzerland)
- Giuseppe D’Antona
(CRIAMS-Sport Medicine Centre Voghera, University of Pavia, 27058 Voghera, Italy
Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27058 Voghera, Italy)
Abstract
Facioscapulohumeral dystrophy (FSHD) leads to progressive changes in body composition such as loss of muscle mass and increase in adiposity. In healthy subjects, anthropometric parameters are associated with the maximum volume of oxygen consumed per minute (VO 2 max), which is a health and function indicator in several populations of subjects, both healthy and pathological. Since VO 2 max can be difficult to test in patients with FSHD due to exercise intolerance, the identification of associated anthropometric parameters could provide new easily obtainable elements for the patients’ clinical stratification. The aim of this study was to evaluate whether anthropometric and body composition parameters are associated with VO 2 max in patients with FSHD. A total of 22 subjects with a molecular genetics-based diagnosis of FSHD (6 females, 16 males, mean age of 35.18 years) were recruited for the study. VO 2 max was measured by cardiopulmonary exercise tests (CPETs) on a cycle ergometer, utilizing a step incremental technique (15 Watts (W) every 30 s). Weight (Kg) and height (m) were obtained and utilized to calculate body mass index (BMI). Body composition parameters (fat mass (FM), fat free mass (FFM), and body cell mass (BCM)) were obtained by bioelectrical impedance analysis (BIA). Significant negative associations were found between VO 2 max and FM (Spearman correlation coefficient (SCC) −0.712), BMI (SCC −0.673), age (SCC −0.480), and weight (SCC −0.634), unlike FFM and BCM. Our results indicate that FM, BMI, age, and body weight are negatively associated with VO 2 max in patients with FSHD. This evidence may help practitioners to better stratify patients with FSHD.
Suggested Citation
Oscar Crisafulli & Luca Grattarola & Giorgio Bottoni & Jessica Lacetera & Emanuela Lavaselli & Matteo Beretta-Piccoli & Rossella Tupler & Emiliano Soldini & Giuseppe D’Antona, 2024.
"Maximal Oxygen Consumption Is Negatively Associated with Fat Mass in Facioscapulohumeral Dystrophy,"
IJERPH, MDPI, vol. 21(8), pages 1-11, July.
Handle:
RePEc:gam:jijerp:v:21:y:2024:i:8:p:979-:d:1443373
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:21:y:2024:i:8:p:979-:d:1443373. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.