Early life factors and white matter microstructure in children with overweight and obesity: the ActiveBrains project
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
MINECO//DEP2013-47540-R/ES/
ES/1PE/DEP2016-79512-R MINECO//DEP2017-91544-EXP European Commission/Horizon 2020 Framework Programme/667302
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095284-J-I00/ES/
AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RYC2019-027287-I MICIU/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FJCI-2017-33396
Impacto
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10.1016/j.clnu.2021.10.022
Resumen
Background & aims: exposure to a suboptimal environment during the fetal and early infancy period's results in long-term consequences for brain morphology and function. We investigated the associations of early life factors such as anthropometric neonatal data (i.e., birth length, birth weight and birth head circumference) and breastfeeding practices (i.e., exclusive and any breastfeeding) with w ...
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Background & aims: exposure to a suboptimal environment during the fetal and early infancy period's results in long-term consequences for brain morphology and function. We investigated the associations of early life factors such as anthropometric neonatal data (i.e., birth length, birth weight and birth head circumference) and breastfeeding practices (i.e., exclusive and any breastfeeding) with white matter (WM) microstructure, and ii) we tested whether WM tracts related to early life factors are associated with academic performance in children with overweight/obesity. Methods: 96 overweight/obese children (10.03 ± 1.16 years; 38.7% girls) were included from the ActiveBrains Project. WM microstructure indicators used were fractional anisotropy (FA) and mean diffusivity (MD), derived from Diffusion Tensor Imaging. Academic performance was evaluated with the Battery III Woodcock–Muñoz Tests of Achievement. Regression models were used to examine the associations of the early life factors with tract-specific FA and MD, as well as its association with academic performance. Results: head circumference at birth was positively associated with FA of the inferior fronto-occipital fasciculus tract (0.441; p = 0.005), as well as negatively associated with MD of the cingulate gyrus part of cingulum (−0.470; p = 0.006), corticospinal (−0.457; p = 0.005) and superior thalamic radiation tract (−0.476; p = 0.001). Association of birth weight, birth length and exclusive breastfeeding with WM microstructure did not remain significant after false discovery rate correction. None tract related to birth head circumference was associated with academic performance (all p > 0.05). Conclusions: our results highlighted the importance of the perinatal growth in WM microstructure later in life, although its possible academic implications remain inconclusive. [--]
Materias
Academic achievement,
Birth weight,
Childhood,
White matter
Editor
Elsevier
Publicado en
Clinical Nutrition, vol. 41 (1), January 2022, p. 40-48
Departamento
Universidad Pública de Navarra/Nafarroako Unibertsitate Publikoa. Institute on Innovation and Sustainable Development in Food Chain - ISFOOD
Versión del editor
Entidades Financiadoras
This 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, the European Commission (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 Exercise 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). Additional funding was obtained from the Andalusian Operational Programme supported with European Regional Development Funds (ERDF in English, FEDER in Spanish, project ref: B-CTS-355-UGR18). PS-U is supported by a grant from ANID /BECAS Chile/72180543. IE-C is supported by the Spanish Ministries of Economy and Competitiveness (RTI2018-095284-J-100), and Science and Innovation (RYC2019-027287-I). JV-R is supported by a grant from the Spanish Ministry of Science, Innovation and Universities (FJCI -2017-33396). Funding for open access charge: Universidad de Granada / CBUA.