Evidence map›Paper›PMID 26492931›Full record

ArticlePsychological medicine2016

Characterizing social environment's association with neurocognition using census and crime data linked to the Philadelphia Neurodevelopmental Cohort.

T M Moore, I K Martin, O M Gur, C T Jackson, J C Scott, M E Calkins, K Ruparel, A M Port, I Nivar, H D Krinsky and 2 more

Abstract read
In one paragraph

Article in Psychological medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

  1. Sex Differences in Psychopathology and Neurocognition in Community Youth With Autism Spectrum Disorder.Autism research : official journal of the International Society for Autism Research · 2026
    Article
  2. White matter reflects the childhood exposome.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Risk and Resilience Measures Related to Psychopathology in Youth.Child psychiatry and human development · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. Pathways link environmental and genetic factors with structural brain networks and psychopathology in youth.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023
    Article
4 · The record

Corrections and comments

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

12 authors.

T M MooreDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
I K MartinDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
O M GurDepartment of Criminal Justice,Pennsylvania State University,Abington College,Abington, PA,USA.
C T JacksonDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
J C ScottDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
M E CalkinsDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
K RuparelDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
A M PortDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
I NivarDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
H D KrinskyDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
R E GurDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.
R C GurDepartment of Psychiatry,Perelman School of Medicine,University of Pennsylvania,Philadelphia, PA,USA.

Funding

Neurodevelopmental Genomics: Trajectories of Complex PhenotypesRC2MH089983 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 2009 to 2011
$14.3M
NMDA Receptor Hypofunction in the Amygdala of Schizophrenia PatientsP50MH096891 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SIEGEL, STEVEN J · 2012 to 2016
$10.6M
SCHIZOPHRENIA: A NEUROPSYCHIATRIC PERSPECTIVET32MH019112 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RAQUEL E · 1990 to 2024
$6.2M
Multimodal brain maturation indices modulating psychopathology and neurocognitionR01MH107235 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI GUR, RUBEN C. · 2015 to 2017
$1.5M
Neural Response to Cognitive Overload in Posttraumatic Stress DisorderIK2CX000772 · VA · VA CONNECTICUT HEALTHCARE SYSTEM · PI SCOTT, JAMES COBB · 2012 to 2016
–
CSRD VA IK2 CX000772NIMH NIH HHS MH019112NIMH NIH HHS MH089983NIMH NIH HHS MH096891NIMH NIH HHS P50 MH096891NIMH NIH HHS RC2 MH089983NIMH NIH HHS T32 MH019112
6 · The paper itself

Abstract

backgroundThe contribution of 'environment' has been investigated across diverse and multiple domains related to health. However, in the context of large-scale genomic studies the focus has been on obtaining individual-level endophenotypes with environment left for future decomposition. Geo-social research has indicated that environment-level variables can be reduced, and these composites can then be used with other variables as intuitive, precise representations of environment in research.

methodUsing a large community sample (N = 9498) from the Philadelphia area, participant addresses were linked to 2010 census and crime data. These were then factor analyzed (exploratory factor analysis; EFA) to arrive at social and criminal dimensions of participants' environments. These were used to calculate environment-level scores, which were merged with individual-level variables. We estimated an exploratory multilevel structural equation model (MSEM) exploring associations among environment- and individual-level variables in diverse communities.

resultsThe EFAs revealed that census data was best represented by two factors, one socioeconomic status and one household/language. Crime data was best represented by a single crime factor. The MSEM variables had good fit (e.g. comparative fit index = 0.98), and revealed that environment had the largest association with neurocognitive performance (β = 0.41, p < 0.0005), followed by parent education (β = 0.23, p < 0.0005).

conclusionsEnvironment-level variables can be combined to create factor scores or composites for use in larger statistical models. Our results are consistent with literature indicating that individual-level socio-demographic characteristics (e.g. race and gender) and aspects of familial social capital (e.g. parental education) have statistical relationships with neurocognitive performance.

Indexed as

CognitionFactor Analysis, StatisticalSocial EnvironmentAdolescentCensusesChildCohort StudiesCrimeDatabases, FactualFemaleHumansMaleModels, StatisticalPhiladelphiaPsychiatric Status Rating ScalesResidence CharacteristicsCensusfactor analysisgeo-codingneurocognitionPhiladelphia Neurodevelopmental Cohortsocioeconomic status

Identifiers

PMID26492931
PMCPMC7263021

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.