Disentangling Socioeconomic Status and Race in Infant Brain, Birth Weight, and Gestational Age at Birth: A Neural Network Analysis.
Disentangling Socioeconomic Status and Race in Infant Brain, Birth Weight, and Gestational Age at Birth: A Neural Network Analysis.
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DOI：
10.1016/j.bpsgos.2023.05.001
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发表时间：
2024-01
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影响因子：
--
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种族通常被用作包括社会经济地位在内的多种特征的代理。关键是要分离这些因素，确定影响婴儿结局的机制，如出生体重，胎龄和大脑发育，并指导适当的干预措施和制定公共政策。人口统计学、社会经济和临床变量用于模拟婴儿结局。有351名参与者被纳入出生体重和胎龄分析。对于使用脑容量的分析，在删除缺失磁共振成像扫描的参与者和符合我们排除标准的参与者后，纳入了280名参与者。我们用线性和非线性模型对这三种不同的婴儿结局进行了建模，包括婴儿大脑、出生体重和胎龄。非线性模型比线性模型更能预测婴儿出生体重（R2 = 0.172 vs. R2 = 0.145，p = 0.005）。与线性模型相比，非线性模型的排名收入，邻里劣势，歧视的重要性高于种族的经验，而建模出生体重。种族不是胎龄或结构脑体积的重要预测因子。与现存的社会科学文献一致，与出生体重相关的研究结果表明，种族是与结构性种族主义相关的非线性因素的线性代理。能够解开往往与种族相关的因素的方法对政策很重要，因为它们可以更好地识别和排列影响结果的可修改因素。
Race is commonly used as a proxy for multiple features including socioeconomic status. It is critical to dissociate these factors, to identify mechanisms that affect infant outcomes, such as birth weight, gestational age, and brain development, and to direct appropriate interventions and shape public policy. Demographic, socioeconomic, and clinical variables were used to model infant outcomes. There were 351 participants included in the analysis for birth weight and gestational age. For the analysis using brain volumes, 280 participants were included after removing participants with missing magnetic resonance imaging scans and those matching our exclusion criteria. We modeled these three different infant outcomes, including infant brain, birth weight, and gestational age, with both linear and nonlinear models. Nonlinear models were better predictors of infant birth weight than linear models (R2 = 0.172 vs. R2 = 0.145, p = .005). In contrast to linear models, nonlinear models ranked income, neighborhood disadvantage, and experiences of discrimination higher in importance than race while modeling birth weight. Race was not an important predictor for either gestational age or structural brain volumes. Consistent with the extant social science literature, the findings related to birth weight suggest that race is a linear proxy for nonlinear factors related to structural racism. Methods that can disentangle factors often correlated with race are important for policy in that they may better identify and rank the modifiable factors that influence outcomes.
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作者：
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DOI：
10.1136/bmj.e896
发表时间：
2012-03-01
期刊：
BMJ (Clinical research ed.)
影响因子：
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作者：
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DOI：
10.1016/j.bpsc.2017.11.011
发表时间：
2018-04
期刊：
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子：
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作者：
Clark US;Miller ER;Hegde RR
通讯作者：
Hegde RR
DOI：
10.3390/adolescents1020007
发表时间：
2021-06-01
期刊：
ADOLESCENTS
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