Quadratic relations of BMI with depression and brain volume in children: Analysis of data from the ABCD study.
Quadratic relations of BMI with depression and brain volume in children: Analysis of data from the ABCD study.
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DOI：
10.1016/j.jpsychires.2021.02.038
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发表时间：
2021-04
影响因子：
4.8
通讯作者：
Welch H
中科院分区：
文献类型：
--
作者：
Bohon C;Welch H
与体重相关的健康状况和抑郁在青春期达到高峰，并与大脑结构有关。在青春期之前了解这些情况是如何相互关联的，可能会指导对不健康体重状况(体重过轻和超重)和抑郁症共同发展的研究，这可能与大脑有关。这项研究考察了体重指数(BMI)、抑郁症状和脑体积(总体积和局部体积)之间的横截面关系，以确定BMI与抑郁症状和脑体积是线性还是二次关系，以及抑郁症状和脑体积是如何相关的。横断面研究采用结构磁共振成像，身高和体重计算BMI z评分，儿童行为量表退缩抑郁评分。数据来自青少年大脑认知发展研究，该研究在全美21个地点收集了11875名9岁和10岁的儿童作为全国样本。使用混合模型检验BMI z分数对脑体积(总体积和局部体积)和退缩抑郁分数的线性和二次效应，以及脑体积和抑郁分数之间的关系。模型中包括了颅内体积、年龄、性别、种族、部位和家庭作为协变量。总体而言，BMI z分数与脑体积和抑郁症状呈二次关系。当包括颅内体积作为协变量时，除了右侧海马体和左侧眶前叶皮质外，研究的区域体积并不遵循相同的整体影响模式。总脑体积与抑郁症状呈负相关。抑郁症状与体重过低或过高之间的联系可以提高我们对抑郁症大脑结构差异的理解。这些发现还强调了包括从体重不足到体重超重的全部BMI以及在模型中测试非线性效应的重要性。
Weight-related health conditions and depression peak during adolescence and show relations with brain structure. Understanding how these conditions relate to each other prior to adolescence may guide research on the co-development of unhealthy weight conditions (both underweight and overweight) and depression, with a potential brain-based link. This study examines the cross-sectional relations between body mass index (BMI), depressive symptoms, and brain volume (total and regional) to determine whether BMI has a linear or quadratic relation with depressive symptoms and brain volume and how depressive symptoms and brain volume are related. Cross-sectional study using structural magnetic resonance imaging, height and weight to calculate BMI z-scores, and Child Behavior Checklist withdrawn depression scores. Data were from the Adolescent Brain Cognitive Development Study, collected at 21 sites across the United States from 11,875 9- and 10-year-old children recruited as a national sample. Mixed models were used to examine the linear and quadratic effects of BMI z-score on both brain volume (total and regional) and withdrawn depression scores, as well as the relations between brain volume and depression scores. Intracranial volume, age, sex, race, site, and family were included in the models as covariates. Overall, BMI z-scores showed a quadratic relation with brain volumes and depressive symptoms. When including intracranial volume as a covariate, regional volumes investigated did not follow the same global pattern of effects except for right hippocampus and left lateral orbitofrontal cortex. Total brain volume was negatively related to depressive symptoms. Links between depressive symptoms and low or high weight could improve our understanding of brain structural differences in depression. These findings also emphasize the importance of including the full spectrum of BMI from underweight to overweight and testing for nonlinear effects in models.
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