Alessandro Micarelli1,2, Andrea Viziano3, Ivan Granito4, Riccardo Xavier Micarelli4, Alessio Felicioni4, Marco Alessandrini3. 1. Institute of Mountain Emergency Medicine, Eurac Research, Viale Druso/Drususallee 1, 39100, Bolzano, Italy. alessandromicarelli@yahoo.it. 2. ITER Center for Balance and Rehabilitation Research (ICBRR), Rome, Italy. alessandromicarelli@yahoo.it. 3. Department of Clinical Sciences and Translational Medicine, University of Rome Tor Vergata, Rome, Italy. 4. ITER Center for Balance and Rehabilitation Research (ICBRR), Rome, Italy.
Abstract
PURPOSE: Experimental works have indicated the potential of the vestibular system to affect body composition to be mediated by its extensive connections to brainstem nuclei involved in regulating metabolism and feeding behavior. The aim of this study was to evaluate-by means of bioelectrical impedance analysis (BIA)-the body composition in a group of chronic UVH normal-weighted patients when compared with an equally balanced group of healthy participants, serving as a control group (CG). METHODS: Forty-six chronic UVH and 60 CG participants underwent otoneurological (including video Head Impulse Test [vHIT] and static posturography testing [SPT]), BIA measurements and self-report (SRM) and performance measures (PM). RESULTS: Beyond significant (p < 0.001) changes in SPT variables (surface and length) and SRM/PM (including Dizziness Handicap Inventory, Dynamic Gait Index and Activity Balance Confidence scales), UVH participants demonstrated significant (p < 0.001) higher values of fat mass and visceral fat and lower values of muscle mass (p = 0.004), when compared to CG. Significant correlations were found in UVH participants between otoneurological and BIA measurements. CONCLUSION: These study findings represent the first clinical in-field attempt at depicting, with the use of BIA parameters, changes in body composition related to chronic UVH. Since such alterations in metabolic parameters could be considered both the consequences and/or the cause of vestibular-related quality of life deficit, BIA parameters could be considered as cheap, easy to use, noninvasive assessments in case of chronic UVH.
PURPOSE: Experimental works have indicated the potential of the vestibular system to affect body composition to be mediated by its extensive connections to brainstem nuclei involved in regulating metabolism and feeding behavior. The aim of this study was to evaluate-by means of bioelectrical impedance analysis (BIA)-the body composition in a group of chronic UVH normal-weighted patients when compared with an equally balanced group of healthy participants, serving as a control group (CG). METHODS: Forty-six chronic UVH and 60 CG participants underwent otoneurological (including video Head Impulse Test [vHIT] and static posturography testing [SPT]), BIA measurements and self-report (SRM) and performance measures (PM). RESULTS: Beyond significant (p < 0.001) changes in SPT variables (surface and length) and SRM/PM (including Dizziness Handicap Inventory, Dynamic Gait Index and Activity Balance Confidence scales), UVH participants demonstrated significant (p < 0.001) higher values of fat mass and visceral fat and lower values of muscle mass (p = 0.004), when compared to CG. Significant correlations were found in UVH participants between otoneurological and BIA measurements. CONCLUSION: These study findings represent the first clinical in-field attempt at depicting, with the use of BIA parameters, changes in body composition related to chronic UVH. Since such alterations in metabolic parameters could be considered both the consequences and/or the cause of vestibular-related quality of life deficit, BIA parameters could be considered as cheap, easy to use, noninvasive assessments in case of chronic UVH.
Entities:
Keywords:
Bioelectrical impedance analysis; Body composition; Central melanocortin system; Vestibular hypofunction; Video-head impulse test
Authors: Rebecca Thomson; Grant D Brinkworth; Jonathan D Buckley; Manny Noakes; Peter M Clifton Journal: Clin Nutr Date: 2007-10-23 Impact factor: 7.324
Authors: Alessandro Micarelli; Andrea Viziano; David Della-Morte; Ivan Augimeri; Marco Alessandrini Journal: Otol Neurotol Date: 2018-06 Impact factor: 2.311
Authors: Dana Badau; Adela Badau; Gabriel Manolache; Mircea Ion Ene; Adriana Neofit; Vlad Teodor Grosu; Virgil Tudor; Radu Sasu; Raluca Moraru; Liviu Moraru Journal: Int J Environ Res Public Health Date: 2021-02-19 Impact factor: 3.390