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儿童体重指数与大脑形态的相关性:一项基于人群的研究。

The association between body mass index and brain morphology in children: a population-based study.

机构信息

Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Center-Sophia Children's Hospital, Rotterdam, The Netherlands.

The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.

出版信息

Brain Struct Funct. 2021 Apr;226(3):787-800. doi: 10.1007/s00429-020-02209-0. Epub 2021 Jan 23.

Abstract

Brain morphology is altered in both anorexia nervosa and obesity. However, it is yet unclear if the relationship between Body Mass Index-Standard Deviation Score (BMI-SDS) and brain morphology exists across the BMI-SDS spectrum, or is present only in the extremes. The study involved 3160 9-to-11 year-old children (50.3% female) who participate in Generation R, a population-based study. Structural MRI scans were obtained from all children and FreeSurfer was used to quantify both global and surface-based measures of gyrification and cortical thickness. Body length and weight were measured to calculate BMI. Dutch growth curves were used to calculate BMI-SDS. BMI-SDS was analyzed continuously and in two categories (median split). The relationship between BMI-SDS (range - 3.82 to 3.31) and gyrification showed an inverted-U shape curve in children with both lower and higher BMI-SDS values having lower gyrification in widespread areas of the brain. BMI-SDS had a positive linear association with cortical thickness in multiple brain regions. This study provides evidence for an association between BMI-SDS and brain morphology in a large sample of children from the general population and suggests that a normal BMI during childhood is important for brain development. Future studies could determine whether lifestyle modifications optimize BMI-SDS result in return to more typical patterns of brain morphology.

摘要

脑形态在神经性厌食症和肥胖症中都发生了改变。然而,目前尚不清楚体重指数标准差(BMI-SDS)与脑形态之间的关系是否存在于 BMI-SDS 谱的整个范围内,或者仅存在于极端情况下。该研究涉及了 3160 名 9 至 11 岁的儿童(50.3%为女性),他们参与了基于人群的研究 Generation R。所有儿童都进行了结构磁共振成像扫描,并使用 FreeSurfer 来量化脑回和皮质厚度的全局和基于表面的测量。测量了身体长度和体重来计算 BMI。使用荷兰生长曲线计算 BMI-SDS。BMI-SDS 连续分析,并分为两类(中位数分割)。BMI-SDS(范围-3.82 至 3.31)与脑回之间的关系显示出在较低和较高 BMI-SDS 值的儿童中存在广泛脑区脑回减少的倒 U 形曲线。BMI-SDS 与多个脑区的皮质厚度呈正线性相关。这项研究为一般人群中大样本儿童的 BMI-SDS 与脑形态之间的关联提供了证据,并表明儿童时期的正常 BMI 对于大脑发育很重要。未来的研究可以确定生活方式的改变是否可以优化 BMI-SDS,从而使脑形态恢复到更典型的模式。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b271/7981300/7a3e087cadbd/429_2020_2209_Fig1_HTML.jpg

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