Israel Villarrasa-Sapiña1, Julio Álvarez-Pitti2, Ruth Cabeza-Ruiz3, Pau Redón4, Empar Lurbe2, Xavier García-Massó5. 1. Departamento de Educación Física y Deporte, Universidad de Valencia, Spain. 2. CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain; Obesity and Cardiovascular Risk Unit, Pediatric Department, Consorcio Hospital General Universitario, University of Valencia, Spain. 3. Departamento de Educación Física y Deporte, Universidad de Sevilla, Spain. 4. CIBER Fisiopatología de la Obesidad y Nutrición, Instituto de Salud Carlos III, Spain. 5. Departamento de Didáctica de la Expresión Musical, Plástica y Corporal, Universidad de Valencia, Valencia, Spain. Electronic address: xavier.garcia@uv.es.
Abstract
BACKGROUND: Excess body weight during childhood causes reduced motor functionality and problems in postural control, a negative influence which has been reported in the literature. Nevertheless, no information regarding the effect of body composition on the postural control of overweight and obese children is available. The objective of this study was therefore to establish these relationships. METHODS: A cross-sectional design was used to establish relationships between body composition and postural control variables obtained in bipedal eyes-open and eyes-closed conditions in twenty-two children. Centre of pressure signals were analysed in the temporal and frequency domains. Pearson correlations were applied to establish relationships between variables. Principal component analysis was applied to the body composition variables to avoid potential multicollinearity in the regression models. These principal components were used to perform a multiple linear regression analysis, from which regression models were obtained to predict postural control. FINDINGS: Height and leg mass were the body composition variables that showed the highest correlation with postural control. Multiple regression models were also obtained and several of these models showed a higher correlation coefficient in predicting postural control than simple correlations. These models revealed that leg and trunk mass were good predictors of postural control. More equations were found in the eyes-open than eyes-closed condition. INTERPRETATION: Body weight and height are negatively correlated with postural control. However, leg and trunk mass are better postural control predictors than arm or body mass. Finally, body composition variables are more useful in predicting postural control when the eyes are open.
BACKGROUND: Excess body weight during childhood causes reduced motor functionality and problems in postural control, a negative influence which has been reported in the literature. Nevertheless, no information regarding the effect of body composition on the postural control of overweight and obesechildren is available. The objective of this study was therefore to establish these relationships. METHODS: A cross-sectional design was used to establish relationships between body composition and postural control variables obtained in bipedal eyes-open and eyes-closed conditions in twenty-two children. Centre of pressure signals were analysed in the temporal and frequency domains. Pearson correlations were applied to establish relationships between variables. Principal component analysis was applied to the body composition variables to avoid potential multicollinearity in the regression models. These principal components were used to perform a multiple linear regression analysis, from which regression models were obtained to predict postural control. FINDINGS: Height and leg mass were the body composition variables that showed the highest correlation with postural control. Multiple regression models were also obtained and several of these models showed a higher correlation coefficient in predicting postural control than simple correlations. These models revealed that leg and trunk mass were good predictors of postural control. More equations were found in the eyes-open than eyes-closed condition. INTERPRETATION: Body weight and height are negatively correlated with postural control. However, leg and trunk mass are better postural control predictors than arm or body mass. Finally, body composition variables are more useful in predicting postural control when the eyes are open.
Authors: Hellas Cena; Matteo Vandoni; Vittoria Carlotta Magenes; Ilaria Di Napoli; Luca Marin; Paola Baldassarre; Alessia Luzzi; Francesca De Pasquale; Gianvincenzo Zuccotti; Valeria Calcaterra Journal: Int J Environ Res Public Health Date: 2022-07-07 Impact factor: 4.614