世界各地儿童和家庭贫困和社会经济地位差异的认知神经影像学研究:对未来十年政策、健康和教育的转化见解

Shanine Kamgang, Meghan Lord, Aanchal Mishra, A. D’Angiulli
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引用次数: 0

摘要

本研究对全球同行评议的神经影像学研究结果进行了系统回顾和荟萃分析,初步评估了家庭贫困/低社会经济地位(SES)对儿童神经认知影响的效应量(ES)的大小,以及这些影响是否始终有害。文献检索(Web of Science;PUBMED;MEDLINE: PSYCNET;谷歌学者;SCIENCEDIRECT)纳入了1988年至2022年的66项研究;其中85%的研究是在西方高收入国家进行的。经研究规模和方差校正的贝叶斯模型显示,ESs在不同国家和测量值之间存在异质性。贝叶斯和标准假设检验表明,高SES组和低SES组在神经成像并发任务中的行为表现相似。除磁共振成像研究外,ESs为小到中等,可靠性中等。最强的ESs表现在注意力、数学表现、语言和皮质体积,其次是阅读和社会情绪过程的中等ESs。静息活动和连通性、工作记忆和执行功能的差异产生的影响很小。文献计量学分析显示,尽管忽略了非西方国家和低收入国家的代表性不足、种族/民族差异的潜在影响以及测量灵敏度/特异性差异,但很大一部分文献将神经认知缺陷归因于低SES。为了实现联合国可持续发展目标,政策和干预措施应考虑区域、结构或环境生态,而不是个人,批判性地探索隐性赤字归因。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive Neuroimaging Studies on Poverty and Socioeconomic Status Differences in Children and Families across the World: Translational Insights for Next Decade’s Policy, Health, and Education
This systematic review and meta-analysis of global peer-reviewed neuroimaging findings preliminarily assessed the magnitude of effect sizes (ES) of the influences of family poverty/low socioeconomic status (SES) on children’s neurocognition and whether these were consistently detrimental. The literature search (Web of Science; PUBMED; MEDLINE: PSYCNET; GOOGLE SCHOLAR; SCIENCEDIRECT) included 66 studies from 1988 to 2022; 85% of the studies included were conducted in Western, high-income nations. Bayesian models, corrected by study sizes and variances, revealed ESs were heterogeneous across countries and measurements. Bayesian and standard hypothesis testing indicated high and low SES groups showed similar behavioral performances in neuroimaging-concurrent tasks. Except for Magnetic Resonance Imaging studies, ESs were small-to-intermediate with modest reliability. The strongest ESs were found for attention, mathematical performance, language, and cortical volume, followed by intermediate ESs for reading and socioemotional processes. Differentials in resting activity and connectivity, working memory, and executive functions yielded small effects. A bibliometric analysis showed a significant proportion of the literature attributed neurocognitive deficits to low SES, despite overlooking the under-representativity of non-Western and low-income countries, potential influences of racial/ethnic differences, and measurement sensitivity/specificity discrepancies. To reach United Nations Sustainable Development Goals, policies and interventions should consider regional, structural, or environmental ecologies beyond the individual, critically probing implicit deficit attributions.
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