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儿童社会经济地位与白质微观结构之间的关联:通过肥胖和认知的间接影响。

Associations between socioeconomic status and white matter microstructure in children: indirect effects via obesity and cognition.

作者信息

Li Zhaolong Adrian, Cai Yuqi, Taylor Rita L, Eisenstein Sarah A, Barch Deanna M, Marek Scott, Hershey Tamara

机构信息

Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, MO 63130, USA.

Department of Psychological & Brain Sciences, Washington University in St. Louis, St. Louis, MO 63130, USA.

出版信息

medRxiv. 2023 Feb 10:2023.02.09.23285150. doi: 10.1101/2023.02.09.23285150.

Abstract

IMPORTANCE

Both neighborhood and household socioeconomic disadvantage relate to negative health outcomes and altered brain structure in children. It is unclear whether such findings extend to white matter development, and via what mechanisms socioeconomic status (SES) influences the brain.

OBJECTIVE

To test independent associations between neighborhood and household SES indicators and white matter microstructure in children, and examine whether body mass index and cognitive function (a proxy of environmental cognitive/sensory stimulation) may plausibly mediate these associations.

DESIGN

This cross-sectional study used baseline data from the Adolescent Brain Cognitive Development (ABCD) Study, an ongoing 10-year cohort study tracking child health.

SETTING

School-based recruitment at 21 U.S. sites.

PARTICIPANTS

Children aged 9 to 11 years and their parents/caregivers completed baseline assessments between October 1 , 2016 and October 31 , 2018. Data analysis was conducted from July to December 2022.

EXPOSURES

Neighborhood disadvantage was derived from area deprivation indices at primary residence. Household SES indicators were total income and the highest parental education attainment.

MAIN OUTCOMES AND MEASURES

Thirty-one major white matter tracts were segmented from diffusion-weighted images. The Restriction Spectrum Imaging (RSI) model was implemented to measure restricted normalized directional (RND; reflecting oriented myelin organization) and isotropic (RNI; reflecting glial/neuronal cell bodies) diffusion in each tract. Obesity-related measures were body mass index (BMI), BMI -scores, and waist circumference, and cognitive performance was assessed using the NIH Toolbox Cognition Battery. Linear mixed-effects models tested the associations between SES indicators and scanner-harmonized RSI metrics. Structural equation models examined indirect effects of obesity and cognitive performance in the significant associations between SES and white mater microstructure summary principal components. Analyses were adjusted for age, sex, pubertal development stage, intracranial volume, and head motion.

RESULTS

The analytical sample included 8842 children (4299 [48.6%] girls; mean age [SD], 9.9 [0.7] years). Greater neighborhood disadvantage and lower parental education were independently associated with lower RSI-RND in forceps major and corticospinal/pyramidal tracts, and had overlapping associations in the superior longitudinal fasciculus. Lower cognition scores and greater obesity-related measures partially accounted for these SES associations with RSI-RND. Lower household income was related to higher RSI-RNI in almost every tract, and greater neighborhood disadvantage had similar effects in primarily frontolimbic tracts. Lower parental education was uniquely linked to higher RSI-RNI in forceps major. Greater obesity-related measures partially accounted for these SES associations with RSI-RNI. Findings were robust in sensitivity analyses and mostly corroborated using traditional diffusion tensor imaging (DTI).

CONCLUSIONS AND RELEVANCE

These cross-sectional results demonstrate that both neighborhood and household contexts are relevant to white matter development in children, and suggest cognitive performance and obesity as possible pathways of influence. Interventions targeting obesity reduction and improving cognition from multiple socioeconomic angles may ameliorate brain health in low-SES children.

KEY POINTS

Are neighborhood and household socioeconomic levels associated with children’s brain white matter microstructure, and if so, do obesity and cognitive performance (reflecting environmental stimulation) mediate the associations? In a cohort of 8842 children, higher neighborhood disadvantage, lower household income, and lower parental education had independent and overlapping associations with lower restricted directional diffusion and greater restricted isotropic diffusion in white matter. Greater body mass index and poorer cognitive performance partially mediated these associations. Both neighborhood and household poverty may contribute to altered white matter development in children. These effects may be partially explained by obesity incidence and poorer cognitive performance.

摘要

重要性

邻里和家庭社会经济劣势均与儿童的负面健康结果及大脑结构改变有关。目前尚不清楚这些发现是否适用于白质发育,以及社会经济地位(SES)通过何种机制影响大脑。

目的

检验邻里和家庭SES指标与儿童白质微观结构之间的独立关联,并研究体重指数和认知功能(环境认知/感觉刺激的一个指标)是否可能在这些关联中起到中介作用。

设计

这项横断面研究使用了青少年大脑认知发展(ABCD)研究的基线数据,这是一项正在进行的为期10年的队列研究,跟踪儿童健康状况。

设置

在美国21个地点进行基于学校的招募。

参与者

9至11岁的儿童及其父母/照顾者在2016年10月1日至2018年10月31日期间完成了基线评估。数据分析于2022年7月至12月进行。

暴露因素

邻里劣势源自主要居住地的区域贫困指数。家庭SES指标为总收入和父母的最高教育程度。

主要结局和测量指标

从扩散加权图像中分割出31条主要白质束。采用限制谱成像(RSI)模型测量每条白质束中的限制归一化方向(RND;反映定向髓鞘组织)和各向同性(RNI;反映胶质/神经元细胞体)扩散。与肥胖相关的测量指标包括体重指数(BMI)、BMI评分和腰围,认知表现使用美国国立卫生研究院工具箱认知电池进行评估。线性混合效应模型检验了SES指标与扫描仪标准化RSI指标之间的关联。结构方程模型研究了肥胖和认知表现在SES与白质微观结构汇总主成分之间显著关联中的间接效应。分析对年龄、性别、青春期发育阶段、颅内体积和头部运动进行了校正。

结果

分析样本包括8842名儿童(4299名[48.6%]女孩;平均年龄[标准差],9.9[0.7]岁)。邻里劣势越大和父母教育程度越低,分别与主要钳状束和皮质脊髓/锥体束中较低的RSI-RND独立相关,并且在额上纵束中存在重叠关联。较低的认知分数和较高的肥胖相关测量指标部分解释了这些SES与RSI-RND之间的关联。家庭收入较低与几乎每条白质束中较高的RSI-RNI相关,邻里劣势越大在主要额边缘束中也有类似影响。父母教育程度较低与主要钳状束中较高的RSI-RNI有独特关联。较高的肥胖相关测量指标部分解释了这些SES与RSI-RNI之间的关联。敏感性分析结果稳健,使用传统扩散张量成像(DTI)大多得到证实。

结论和相关性

这些横断面结果表明,邻里和家庭环境均与儿童白质发育相关,并提示认知表现和肥胖可能是潜在的影响途径。从多个社会经济角度针对减少肥胖和改善认知的干预措施可能会改善低SES儿童的大脑健康。

关键点

邻里和家庭社会经济水平是否与儿童大脑白质微观结构相关,如果是,肥胖和认知表现(反映环境刺激)是否在这些关联中起中介作用?在一个8842名儿童的队列中,较高的邻里劣势、较低的家庭收入和较低的父母教育程度与白质中较低的限制方向扩散和较高的限制各向同性扩散存在独立且重叠的关联。较高的体重指数和较差的认知表现部分介导了这些关联。邻里和家庭贫困均可能导致儿童白质发育改变。这些影响可能部分由肥胖发生率和较差的认知表现所解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42fe/9934783/73a368955b9e/nihpp-2023.02.09.23285150v1-f0001.jpg

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