Contributors: [Zavala-Crichton,JP; Esteban-Cornejo,I; Solis-Urra,P; Mora-Gonzalez,J; Cadenas-Sanchez,C; Rodriguez-Ayllon,M; Migueles,JH; Molina-Garcia,P; Ortega,FB] PROFITH 'PROmoting FITness and Health Through Physical Activity' Research Group, Sport and Health University Research Institute (iMUDS), Department of Physical and Sports Education, Faculty of Sport Sciences, University of Granada, Granada, Spain. [Zavala-Crichton,JP] Faculty of Education and Social Sciences, Universidad Andres Bello, Viña del Mar, Chile. [Solis-Urra,P] IRyS Research Group, School of Physical Education, Pontificia Universidad Católica de Valparaiso, Valparaiso, Chile. [Mora-Gonzalez,J] College of Health and Human Services, University of North Carolina at Charlotte, Charlotte, NC, USA. [Cadenas-Sanchez,C] MOVE-IT Research Group and Department of Physical Education, Faculty of Education Sciences University of Cádiz, Cádiz, Spain. [Cadenas-Sanchez,C] Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Cádiz, Spain. [Molina-Garcia,P] Department of Rehabilitation Sciences, KU Leuven – University of Leuven, Leuven, Belgium. [Verdejo-Roman,J] Mind, Brain and Behavior Research Center (CIMCYC), University of Granada, Granada, Spain. [Verdejo-Roman,J] Laboratory of Cognitive and Computational Neuroscience (UCM-UPM), Center for Biomedical Technology (CTB), Pozuelo de Alarcón, Madrid, Spain. [Kramer,AF; Hillman,CH] Department of Psychology, Northeastern University, Boston, MA, USA. [Kramer,AF] Beckman Institute, University of Illinois at Urbana-Champaign, Champaign, IL, USA. [Hillman,CH] Department of Physical Therapy, Movement & Rehabilitation Sciences, Northeastern University, Boston, MA, USA. [Erickson,KI] Brain Aging & Cognitive Health Lab, Department of Psychology, University of Pittsburgh, Pittsburgh, PA, USA. [Catena,A] Department of Experimental Psychology, Mind, Brain and Behavior Research Centre (CIMCYC), University of Granada, Granada, Spain.; This work study was supported by the Spanish Ministry of Economy and Competitiveness (DEP2013-47540, DEP2016-79512-R, and DEP2017-91544-EXP), the European Regional Development Fund (ERDF), European Union’s 2020 research and innovation program under grant agreement No. 667302 and the Alicia Koplowitz Foundation. This study was partially funded by the UGR Research and Knowledge Transfer Fund (PPIT) 2016, Excellence Actions Programme. Units of Scientific Excellence; Scientific Unit of Excellence on Excercise and Health (UCEES) and by the Regional Government of Andalusia, Regional Ministry of Economy, Knowledge, Entreprises and University and European Regional Development Fund (ERDF), ref. SOMM17/6107/UGR. In addition, this study was further supported by the SAMID III network, RETICS, funded by the PN I+D+I 2017-2021 (Spain), ISCIII-Sub-Directorate General for Research Assessment and Promotion, the European Regional Development Fund (ERDF) (Ref. RD16/0022), the EXERNET Research Network on Exercise and Health in Special Populations (DEP2005-00046/ACTI). IE-C is supported by a grant from the Alicia Koplowitz Foundation and by the Spanish Ministry of Economy and Competitiveness (RTI2018-095284-J-100)). CC-S is supported by the Regional Government of Andalusia, Integrated Territorial Initiative 2014-2020 of the province of Cádiz (PI-0002-2017) and the Spanish Ministry of Science and Innovation (FJC2018-037925-I). JHM and JM-G are supported by the Spanish Ministry of Education, Culture and Sport (FPU15/02645 and FPU14/06837, respectively). P-MG is supported by Horizon 2020 Framework Programme (Grant/ Award Number: 667302). PS-U was supported by a grant from CONICYT/BECAS Chile/72180543. JVR is supported by a grant from the Spanish Ministry of Science, Innovation and Universities (FJCI-2017-33396). This work is part of the Juan Pablo Zavala-Crichton Ph.D. Thesis conducted in the O_cial Doctoral Programme in Biomedicine of the University of Granada, Spain.
نبذة مختصرة : We investigated the associations of different sedentary behaviors (SB) with gray matter volume and we tested whether SB related to gray matter volume is associated with intelligence. Methods: 99 children with overweight or obesity aged 8&ndash
11 years participated in this cross-sectional study. SB was measured using the Youth Activity Profile-Spain questionnaire. T1-weighted images were acquired with a 3.0 T Magnetom Tim Trio system. Intelligence was assessed with the Kaufman Brief Test. Whole-brain voxel-wise multiple regression models were used to test the associations of each SB with gray matter volume. Results: Watching TV was associated with lower gray matter volume in six brain regions (&beta
ranging &minus
0.314 to &minus
0.489 and cluster size 106 to 323 voxels
p <
0.001), playing video games in three brain regions (&beta
0.391 to &minus
0.359, and cluster size 96 to 461 voxels
0.001) and total sedentary time in two brain regions (&beta
0.341 to &minus
0.352, and cluster size 897 to 2455 voxels
0.001). No brain regions showed a significant positive association (all p >
0.05). Two brain regions were related, or borderline related, to intelligence. Conclusions: SB could have the potential to negatively influence brain structure and, in turn, intelligence in children with overweight/obesity.
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