ArticleBiological psychiatry global open science2024
Disentangling Socioeconomic Status and Race in Infant Brain, Birth Weight, and Gestational Age at Birth: A Neural Network Analysis.
Article in Biological psychiatry global open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Social Determinants of Health, the developing brain, and risk and resilience for psychopathology.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Associations of social and genetic background variables to neuro-cognitive biomarkers of psychosis.Biomarkers in neuropsychiatry · 2025Article
- Racial and ethnic socioenvironmental inequity and neuroimaging in psychiatry: a brief review of the past and recommendations for the future.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Understanding and mitigating the impact of race with adversarial autoencoders.Communications medicine · 2024Article
- Population-level normative models reveal race- and socioeconomic-related variability in cortical thickness of threat neurocircuitry.Communications biology · 2024Article
- Harnessing population diversity: in search of tools of the trade.GigaScience · 2024Article
- Socioeconomic Disparities in Hypothalamic-Pituitary-Adrenal Axis Regulation and Prefrontal Cortical Structure.Biological psychiatry global open science · 2024Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 2 countries.
Funding
Abstract
Background: 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. Methods: 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. Results: Nonlinear models were better predictors of infant birth weight than linear models ( Conclusions: 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.