Improving the functional detection of sarcopenic obesity: prevalence and handgrip scoring in the <scp>OBESAR</scp> cohort
Using adHGS through a scoring process considering age and sex may help to detect early signs of SO in a primary care setting in order to better prevent SO through a personalized approach in adults with obesity. A free online application, "GRip And Sarcopenia Prediction" (GRASP), is proposed to diagnose probable SO.
Authors
- Alexandre Pinel (ORCID: https://orcid.org/0009-0002-2643-8644)
- Aurélien Mulliez (ORCID: https://orcid.org/0000-0002-9080-0444)
- Mélanie Pouget (ORCID: https://orcid.org/0000-0002-3972-0262)
- N. Farigon
- Rubén Martinez
- M. Miolanne
- E. Gentes (ORCID: https://orcid.org/0000-0002-8915-5652)
- Yves Boirie (ORCID: https://orcid.org/0000-0002-3999-1599)
- Christelle Guillet (ORCID: https://orcid.org/0000-0003-3308-723X)
- M. Émile Picard
Institutions
- Université Clermont Auvergne (FR)
- Unité de Nutrition Humaine (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Centre Hospitalier Universitaire de Clermont-Ferrand (FR)
- Centre de Recherche en Nutrition Humaine d'Auvergne (FR)
Publication Details
- Journal
- Obesity
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1002/oby.24157
- Citations
- 2
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.65