ArticleExperimental and clinical psychopharmacology2025
Delay discounting data in the Adolescent Brain Cognitive Development (ABCD) study: Modeling and analysis considerations.
Article in Experimental and clinical psychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Less systematic decision-making during delay discounting, but not discounting rate, is robustly linked to psychopathology.Journal of psychopathology and clinical science · 2026Article
- Identifying significant environmental predictors of change in delay discounting among adolescents in the Adolescent Brain Cognitive Development Study.Experimental and clinical psychopharmacology · 2026Article
- Multivariate associations between sleep patterns and self-regulation in adolescence: Canonical correlation analysis across ABCD and NCANDA cohorts.Chronobiology international · 2026Article
- To linearize or not to linearize: That is the Mazur delay discounting question.Journal of mathematical psychology · 2026Article
- Household Adversity, Day to Day Experiences, and Birth/Pregnancy Complications are Associated with Delay Discounting: Findings from the Adolescent Brain Cognitive Development Study.Research on child and adolescent psychopathology · 2026Article
Corrections and comments
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Authors and funding
9 authors.
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Abstract
This report provides a primer to delay discounting data in the context of the Adolescent Brain Cognitive Development (ABCD) Study. Delay discounting describes the tendency for organisms to devalue temporally constrained outcomes. This decision-making framework has garnered attention from multiple fields for its association with various behavioral health conditions like substance use disorder. Importantly, the literature on delay discounting describes many approaches to analyzing and interpreting discounting data. To be most beneficial to the broader scientific audience, consistency and reproducibility in how delay discounting data are operationalized, analyzed, and interpreted is key. We describe relevant data analysis methods for use with the ABCD Study, a large-cohort longitudinal study (
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