ArticleJCPP advances2025
Beyond the income-achievement gap: The role of individual, family, and environmental factors in cognitive resilience among low-income youth.
Article in JCPP advances, 2025. 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.
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Who cites it
7 citing papers in PubMed.
- Neighborhood Deprivation and Adolescent Mental Health: The Protective Role of School Staffing Patterns.Journal of the American Academy of Child and Adolescent Psychiatry · 2026Article
- Timing and tempo of puberty and neurodevelopment following adversity: A registered report.Developmental cognitive neuroscience · 2026Article
- Individual differences in adolescent cortical development are associated with neighborhood characteristics: Longitudinal findings from the ABCD study.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Cognitive Resilience and Vulnerability to Socioeconomic Disadvantage: Predictors Across Individual, Family, School, and Neighborhood Contexts.Developmental science · 2026Article
- Artificial Intelligence in Sub-Elite Youth Football Players: Predicting Recovery Through Machine Learning Integration of Physical, Technical, Tactical and Maturational Data.Healthcare (Basel, Switzerland) · 2025Article
- Beyond the income-achievement gap: The role of individual, family, and environmental factors in cognitive resilience among low-income youth.JCPP advances · 2025Article
- Associations among socioeconomic disadvantage, longitudinal changes in within-network connectivity, and academic outcomes in the ABCD study.Developmental cognitive neuroscience · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Background: Low socioeconomic status is associated with lower cognitive performance and long-term disparities in achievement and success. However, not all children from low-income backgrounds exhibit lower cognitive performance. Characterizing the factors that promote such resilience in youth from low-income households is of crucial importance. Methods: We used baseline data from participants in the lowest tertile of income-to-needs in the Adolescent Brain Cognitive Development study and machine learning to identify the factors that predict fluid and crystallized cognitive resilience among youth from low-income backgrounds. Predictors included 164 variables across child characteristics, family and developmental history, and environment. Results: Our models were reliably able to predict resilience but were substantially more accurate for crystallized cognition (AUC = 0.75) than for fluid cognition (AUC = 0.67). Key predictors included developmental factors such as birthweight and duration of breastfeeding, neighborhood-level factors (e.g., living in concentrated privilege, enrollment in advanced placement courses), children's own temperament and mental health, and other factors such as physical activity and involvement in extracurricular activities. Conclusion: Our findings highlight the importance of a multifaceted approach to promoting cognitive resilience among children from low-income households in future intervention work.
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Registered trials
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