Article in Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
7 authors.
Julia C HarrisDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0002-4384-1067
Carlos Cardenas-IniguezDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Ashley L WattsDepartment of Psychology, Vanderbilt University, Nashville TN, USA.
Hailley R MooreDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Bo A MalamesDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Caitlin A NelsonDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Krista M LisdahlDepartment of Psychology, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Funding
ABCD-USA Consortium: Coordinating CenterU24DA041147 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDRA A BROWN, TERRY L. JERNIGAN · 2015 to 2026
$54.7M
ABCD-USA Consortium: Data Analysis, Informatics and Resource CenterU24DA041123 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE · 2015 to 2026
$51.5M
Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
Adolescent Substance Use Initiation: Disentangling neurocognitive risks from consequences using longitudinal and genetically-informed methodsU01DA041120 · NIDA · UNIVERSITY OF MINNESOTA · PI Monica Luciana, Sylia Wilson · 2015 to 2026
$34.5M
ABCD-USA Consortium: Research ProjectU01DA041089 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Joanna Jacobus, Susan F. Tapert · 2015 to 2026
$31.7M
Prospective Research Studies of Maturation (PRISM)- Research ProjectU01DA041134 · NIDA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI ERIN MCGLADE, PERRY FRANKLIN RENSHAW · 2015 to 2026
$29.2M
ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
ABCD-USA Consortium: Research ProjectU01DA041106 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mary M Heitzeg, Chandra Sekhar Sripada · 2015 to 2026
$24.9M
FIU-ABCD: Pathways and Mechanisms to Addiction in the Latino Youth of South FloridaU01DA041156 · NIDA · FLORIDA INTERNATIONAL UNIVERSITY · PI Raul Gonzalez, Angela R Laird · 2015 to 2026
$22.8M
ABCD-USA Consortium: Research ProjectU01DA041148 · NIDA · OREGON HEALTH & SCIENCE UNIVERSITY · PI Damien A Fair, Rebekah S Huber · 2015 to 2026
$22.3M
ABCD-USA: NYC Research ProjectU01DA041174 · NIDA · YALE UNIVERSITY · PI Arielle Ryan Baskin-Sommers, Betty J Casey · 2015 to 2026
$19.7M
Adolescent Brain Cognitive Development (ABCD) Prospective Research in Studies of Maturation (PRISM) ConsortiumU01DA041117 · NIDA · UNIVERSITY OF MARYLAND BALTIMORE · PI LINDA CHANG, THOMAS M ERNST · 2015 to 2026
$19.5M
ABCD consortium investigators designed and implemented the study U01DA041025National Center for Advancing Translational Sciences, National Institutes of Health 2TL1 TR001437National Institute of Environmental Health Sciences, National Institutes of Health P30ES007048National Institute of Environmental Health Sciences, National Institutes of Health R01ES031074National Institute of Environmental Health Sciences, National Institutes of Health R01ES032295National Institute of Environmental Health Sciences, National Institutes of Health T32ES013678National Institutes of Health and additional federal partners U01DA041022National Institutes of Health and additional federal partners U01DA041025National Institutes of Health and additional federal partners U01DA041028National Institutes of Health and additional federal partners U01DA041048National Institutes of Health and additional federal partners U01DA041089National Institutes of Health and additional federal partners U01DA041093National Institutes of Health and additional federal partners U01DA041106National Institutes of Health and additional federal partners U01DA041117National Institutes of Health and additional federal partners U01DA041120National Institutes of Health and additional federal partners U01DA041134National Institutes of Health and additional federal partners U01DA041148National Institutes of Health and additional federal partners U01DA041156National Institutes of Health and additional federal partners U01DA041174National Institutes of Health and additional federal partners U01DA050987National Institutes of Health and additional federal partners U01DA050988National Institutes of Health and additional federal partners U01DA050989National Institutes of Health and additional federal partners U01DA051016National Institutes of Health and additional federal partners U01DA051018National Institutes of Health and additional federal partners U01DA051037National Institutes of Health and additional federal partners U01DA051038National Institutes of Health and additional federal partners U01DA051039National Institutes of Health and additional federal partners U24DA041123National Institutes of Health and additional federal partners U24DA041147NCATS NIH HHS TL1 TR001437NIDA NIH HHS U01 DA041022NIDA NIH HHS U01 DA041025NIDA NIH HHS U01 DA041028NIDA NIH HHS U01 DA041048NIDA NIH HHS U01 DA041089NIDA NIH HHS U01 DA041093NIDA NIH HHS U01 DA041106NIDA NIH HHS U01 DA041117NIDA NIH HHS U01 DA041120NIDA NIH HHS U01 DA041134NIDA NIH HHS U01 DA041148NIDA NIH HHS U01 DA041156NIDA NIH HHS U01 DA041174NIDA NIH HHS U01 DA050987NIDA NIH HHS U01 DA050988NIDA NIH HHS U01 DA050989NIDA NIH HHS U01 DA051016NIDA NIH HHS U01 DA051018NIDA NIH HHS U01 DA051037NIDA NIH HHS U01 DA051038NIDA NIH HHS U01 DA051039NIDA NIH HHS U24 DA041123NIDA NIH HHS U24 DA041147NIEHS NIH HHS P30 ES007048NIEHS NIH HHS R01 ES031074NIEHS NIH HHS R01 ES032295NIEHS NIH HHS T32 ES013678
6 · The paper itself
Abstract
backgroundThis study relied on previously established factor scores of environmental, education, and socioeconomic-related variables in the Adolescent Brain Cognitive Development Study (ABCD) and their associations with cognitive functioning in youth.
methodWe used the ABCD Study (n = 9543) linked external data, cognitive task performance, and self-reported data from youth (ages 9-10) and their caregivers. We investigated the links between four previously established factor scores of the Child Opportunity Index 2.0 (COI) (Socioeconomic Attainment, Poverty, Neighborhood Enrichment, and Child Education) and cognitive functioning via the NIH Toolbox subscales. We estimated 36 models that examined all possible relationships between the (a) four COI factors and (b) cognitive functioning indices.
resultsSocioeconomic Attainment and Child Education factor scores were significantly positively associated with cognitive performance across all cognitive tasks subscales and composite scores (i.e., crystallized and fluid intelligence). Poverty factor scores were significantly negatively associated with cognitive performance across all subscales and composite scores. Finally, Neighborhood Enrichment factor scores were significantly positively associated with increased Oral Reading Recognition Task scores only, and no other cognitive task. DISCUSSION: Distinct dimensions of neighborhood opportunity were differentially associated with aspects of cognition, which may have a unique impact on brain development and neural outcomes as youth age into adolescence. The present study can help to inform future public health efforts and policy on improving built and natural environmental structures that may aid in supporting childhood cognitive development.
Indexed as
Child DevelopmentCognitionNeighborhood CharacteristicsChildEducational StatusFemaleHumansMaleNational Institutes of Health (U.S.)Neuropsychological TestsPovertySocioeconomic FactorsUnited StatesChild opportunityCognitionDevelopmentNeighborhoodNIH toolbox
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.
Childhood Opportunity Index 2.0 and Cognition via the NIH Toolbox. · full record | OpenQuestion