Luis Gracia-Marco1,2, Irene Esteban-Cornejo1, Esther Ubago-Guisado1,3, Maria Rodriguez-Ayllon1, Jose Mora-Gonzalez1, Patricio Solis-Urra1,4, Cristina Cadenas-Sanchez1,5,6, Juan Verdejo-Roman7,8, Andres Catena9, Kirk I Erickson10, Francisco B Ortega1. 1. PROFITH "PROmoting FITness and Health Through Physical Activity" Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain. 2. Growth, Exercise, Nutrition and Development Research Group, Universidad de Zaragoza, Zaragoza, Spain. 3. Health and Social Research Center, Universidad de Castilla-La Mancha, Cuenca, Spain. 4. IRyS Research Group, School of Physical Education, Pontificia Universidad Católica de Valparaíso, Valparaiso, Chile. 5. MOVE-IT Research Group and Department of Physical Education, Faculty of Education Sciences, University of Cádiz, Cádiz, Spain. 6. Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital, University of Cádiz, Cádiz, Spain. 7. Mind, Brain and Behavior Research Center, University of Granada (CIMCYC-UGR), Granada, Spain. 8. Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Centre for Biomedical Technology (CTB), Madrid, Spain. 9. Department of Experimental Psychology, Mind, Brain and Behaviour Research Centre (CIMCYC), University of Granada, Granada, Spain. 10. Brain Aging and Cognitive Health Lab, Department of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Abstract
BACKGROUND: The relationship of obesity with grey and white matter volumes has been examined in several studies, and the results are decidedly mixed. OBJECTIVE: To investigate the associations of body mass index (BMI), fat mass index (FMI) and lean mass index (LMI) with total and regional grey and white matter volumes. METHODS: This is a cross-sectional study involving 100 children (60% boys) with overweight/obesity. T1-weighted images were acquired using magnetic resonance imaging. Dual energy X-ray absorptiometry was used to measure body composition. Separate hierarchical regression analyses were performed between predictor variables (BMI, FMI and LMI) and the total brain volumes including sex, years from peak height velocity and parental education as covariates. In addition, FMI was added as a covariate when LMI was the predictor and vice versa. Statistical analyses of imaging data were performed using three whole-brain voxel-wise multiple regression models and adjusted by the same covariates. RESULTS: LMI was positively associated with white matter in numerous regions and to a lower extent, with grey matter regions. Further, the relationship between LMI, and grey and white matter regions was independent of FMI levels. CONCLUSIONS: LMI seems to be a positive predictor of regional white matter volumes in children with overweight/obesity.
BACKGROUND: The relationship of obesity with grey and white matter volumes has been examined in several studies, and the results are decidedly mixed. OBJECTIVE: To investigate the associations of body mass index (BMI), fat mass index (FMI) and lean mass index (LMI) with total and regional grey and white matter volumes. METHODS: This is a cross-sectional study involving 100 children (60% boys) with overweight/obesity. T1-weighted images were acquired using magnetic resonance imaging. Dual energy X-ray absorptiometry was used to measure body composition. Separate hierarchical regression analyses were performed between predictor variables (BMI, FMI and LMI) and the total brain volumes including sex, years from peak height velocity and parental education as covariates. In addition, FMI was added as a covariate when LMI was the predictor and vice versa. Statistical analyses of imaging data were performed using three whole-brain voxel-wise multiple regression models and adjusted by the same covariates. RESULTS: LMI was positively associated with white matter in numerous regions and to a lower extent, with grey matter regions. Further, the relationship between LMI, and grey and white matter regions was independent of FMI levels. CONCLUSIONS: LMI seems to be a positive predictor of regional white matter volumes in children with overweight/obesity.
Authors: Nicole E Logan; Daniel R Westfall; Lauren B Raine; Sheeba A Anteraper; Laura Chaddock-Heyman; Susan Whitfield-Gabrieli; Arthur F Kramer; Charles H Hillman Journal: Med Sci Sports Exerc Date: 2022-06-24
Authors: Cristina Cadenas-Sanchez; Irene Esteban-Cornejo; Jairo H Migueles; Idoia Labayen; Juan Verdejo-Román; Jose Mora-Gonzalez; Pontus Henriksson; José Maldonado; José Gómez-Vida; Charles H Hillman; Kirk I Erickson; Arthur F Kramer; Andrés Catena; Francisco B Ortega Journal: J Clin Med Date: 2020-04-08 Impact factor: 4.241