Evidence map›Paper›PMID 34836805›Full record

ArticleThe Journal of adolescent health : official publication of the Society for Adolescent Medicine2022

School Health Predictors of the School-to-Prison Pipeline: Substance Use and Developmental Risk and Resilience Factors.

Seth J Prins, Sandhya Kajeepeta, Mark L Hatzenbuehler, Charles C Branas, Lisa R Metsch, Stephen T Russell

Abstract read
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Article in The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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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

6 authors.

Seth J PrinsDepartments of Epidemiology and Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York. Electronic address: seth.j.prins@columbia.edu.
Sandhya KajeepetaDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Mark L HatzenbuehlerDepartment of Psychology, Harvard University, Cambridge, Massachusetts.
Charles C BranasDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Lisa R MetschDepartment of Sociomedical Sciences, Columbia University Mailman School of Public Health, New York, New York.
Stephen T RussellDepartment of Human Development and Family Sciences, University of Texas at Austin, Austin, Texas.

Funding

Training Program on HIV and Substance Use in the Criminal Justice SystemT32DA037801 · NIDA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Nabila El-Bassel, Lisa R Metsch · 2014 to 2026
$5.7M
Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Catherine A Calder · 2017 to 2026
$5.2M
A Nationwide Case-Control Study of Firearm Violence Prevention Tactics and Policies in K-12 SchoolsR01HD108027 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRANAS, CHARLES C., RAJAN, SONALI · 2021 to 2023
$2.0M
Adolescent substance use as determinant and consequence of the school-to-prison pipeline: Disentangling individual risk, social determinants, and group disparitiesK01DA045955 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PRINS, SETH JACOB · 2019 to 2023
$863k
NCIPC CDC HHS R49 CE003094NICHD NIH HHS P2C HD042849NICHD NIH HHS R01 HD108027NIDA NIH HHS K01 DA045955NIDA NIH HHS T32 DA037801
6 · The paper itself

Abstract

purposeThe purpose of the study is to establish prospective relationships among school mean levels of substance use, developmental risk and resilience factors, and school discipline.

methodsWe linked 2003-2014 data from the California Healthy Kids Survey and the Civil Rights Data Collection, from more than 4,800 schools and 4,950,000 students. With lagged multilevel linear models, we estimated relationships among standardized school average levels of six substance use measures; eight developmental risk and resilience factors; and the prevalence of total discipline, out-of-school discipline, and police-involved discipline.

resultsSchool mean substance use and risk/resilience factors predicted subsequent prevalence of discipline. For example, a one-standard deviation higher school mean level of smoking, binge drinking, and cannabis use was associated, respectively, with 16% (95% confidence interval [CI]: 14%, 18%), 18% (95% CI: 16%, 20%), and 21% (95% CI: 19%, 23%) higher subsequent prevalence of total discipline. A one-standard deviation higher mean level of community support and feeling safe in school was associated, respectively, with 21% (95% CI: 18%, 23%) and 9% (95% CI: 7%, 11%) lower total discipline. Higher violence/harassment was associated with 5% (95% CI: 4%, 7%) higher total discipline. Peer and home support, student resilience, and neighborhood safety were not associated with total discipline. Nearly all associations remained, attenuated, when we restricted to out-of-school and police-involved discipline.

conclusionsSchools with students who, on average, have higher substance use, less school and community support, and feel less safe in schools have a higher prevalence of school discipline and police contact. The public health implications of mass criminalization extend beyond criminal legal system settings and into schools.

Indexed as

PrisonsSubstance-Related DisordersHumansProspective StudiesSchoolsStudentsSchool disciplineSchool-to-prison pipelineSubstance use

Identifiers

PMID34836805
PMCPMC8860848

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Registered trials

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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.