Disentangling Socioeconomic Status and Race in Infant Outcomes: A Neural Network Analysis
Sarullo, K.; Barch, D.; Smyser, C.; Rogers, C.; Warner, B.; Miller, J. P.; England, S.; Luby, J.; Swamidass, S. J.
Show abstract
Race is commonly used as a proxy for multiple features including socioeconomic status. It is critical to dissociate these factors, identify mechanisms that impact infant outcomes, such as birthweight, and direct appropriate interventions and shape public policy. Demographic, socioeconomic, and clinical variables were used to model infant birthweight. Non-linear neural networks better model infant birthweight than linear models (R2 = 0.172 vs. R2 = 0.145, p-value=0.005). In contrast to linear models, non-linear models ranked income, neighborhood disadvantage, and experiences of discrimination higher in importance while modeling birthweight than race. Consistent with extant social science literature, findings suggest race is a linear proxy for non-linear factors. The ability to disentangle and identify the source of effects for socioeconomic status and other social factors that often correlate with race is critical for the ability to appropriately target interventions and public policies designed to improve infant outcomes as well as point out the disparities in these outcomes.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Brain Morphometry and Diminished Physical Growth in Bangladeshi Children Growing up in Extreme Poverty: a Longitudinal Study 93%
- Missing data approaches for longitudinal neuroimaging research: Examples from the Adolescent Brain and Cognitive Development (ABCD) Study 91%
- Socioeconomic Resources are Associated with Distributed Alterations of the Brain's Intrinsic Functional Architecture in Youth 91%
Similar papers in this journal
- Impacts of the 1918 Flu on survivors ' nutritional status:a double quasi-natural experiment 92%
- Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients – March 2022 - April 2023 92%
- A compelling symmetry: The extended fetuses-at-risk perspective on modal, optimal and relative birthweight and gestational age 92%
Similar papers in this journal
- Exposure to Prenatal Social Disadvantage and Maternal Psychosocial Stress: Relationships to Neonatal White Matter Connectivity 93%
- Cortical scaling of the neonatal brain in typical and altered development 92%
- Reductions in 2020 US life expectancy due to COVID-19 and the disproportionate impact on the Black and Latino populations 90%
Similar papers in this journal
- Widely accessible prognostication using medical history for fetal growth restriction and small for gestational age in nationwide insured women 92%
- Better individual-level risk models can improve the targeting and life-saving potential of early-mortality interventions 91%
- Can machine learning improve risk prediction of incident hypertension? An internal method comparison and external validation of the Framingham risk model using HUNT Study data 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.