Evidence map›Paper›PMID 31398476›Full record

ArticleJournal of adolescence2019

Using polytomous latent class analysis to compare patterns of substance use and co-occurring health-risk behaviors between students in alternative and mainstream high schools.

Karen E Johnson, Adam Sales, Lynn Rew, Jennifer Haussler Garing, Robert Crosnoe

Abstract readComparative Study
In one paragraph

Article in Journal of adolescence, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. School Nurse Staffing in Texas Alternative High Schools: A Mixed Methods Exploration.The Journal of school nursing : the official publication of the National Association of School Nurses · 2024
    Article
  3. Article
  4. 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

5 authors.

Karen E JohnsonSchool of Nursing; Faculty Research Associate, Population Research Center, The University of Texas at Austin, 1710 Red River, Austin, TX, 78712, USA. Electronic address: drkj@utexas.edu.
Adam SalesResearch Design Techniques Consulting Office, College of Education, The University of Texas at Austin, 1912 Speedway, Stop D5000, Austin, TX, 78712, USA. Electronic address: asales@utexas.edu.
Lynn RewSchool of Nursing, The University of Texas at Austin, 1710 Red River, Austin, TX, 78712, USA. Electronic address: ellerew@mail.utexas.edu.
Jennifer Haussler GaringEpidemiologist, YRBS Coordinator, Center for Health Statistics, Texas Department of State Health Services, 1100 West 49(th) Street, MC 1898, Austin, TX 78756, USA. Electronic address: jennifer.garing@dshs.texas.gov.
Robert CrosnoeRapoport Centennial Professor of Sociology and Associate Dean of Liberal Arts, Population Research Center, University of Texas at Austin, 305 East 23(rd) Street G1800, Austin, TX 78712, USA. Electronic address: crosnoe@austin.utexas.edu.

Funding

Scientific & Technical CoreP2CHD042849 · NICHD · UNIVERSITY OF TEXAS AT AUSTIN · PI Elizabeth T. Gershoff · 2017 to 2026
$5.2M
Pilot & Feasibility CoreP30NR015335 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI KIM, MIYONG T · 2014 to 2018
$2.3M
NICHD NIH HHS P2C HD042849NINR NIH HHS P30 NR015335
6 · The paper itself

Abstract

introductionAlternative high school (AHS) students, an understudied and underserved population, experience educational, social, and health disparities relative to students in mainstream high schools. Disparities in single types of substance use are particularly high, yet no known studies have compared patterns of substance use or relationships between these patterns and other health-risk behaviors between AHS and mainstream high schools.

methodsUsing data from the Texas Alternative School Health Survey (n = 515; mean age 17.1 years, 49% male, 59% Hispanic, 23% White, 15% Black) and the Texas Youth Risk Behavior Survey (n = 2,113; mean age 16 years, 47% male, 64% Hispanic, 22% White, 7% Black), we used latent class analyses to compare patterns of substance use in AHSs and mainstream high schools. We used latent class regression to examine relationships between patterns of substance use and involvement in other health-risk behaviors in each school setting.

resultsStudents in AHSs and mainstream high schools had similar patterns of substance use, and youth in higher risk categories engaged in higher levels of other health-risk behaviors. A substantially greater proportion of AHS students, however, fell into the moderate and high use categories, in support of continuing disparities for AHS students.

conclusionsAdditional support is needed in AHSs to address the prevalence of high-risk patterns of substance use and associated health-risk behaviors. For example, ongoing public health surveillance is needed in AHSs, just as is done in mainstream high schools, to monitor trends in substance use and impact of policies and interventions.

Indexed as

Health Risk BehaviorsAdolescentAdolescent BehaviorFemaleHealth SurveysHumansLatent Class AnalysisMalePrevalenceSchoolsStudentsSubstance-Related DisordersTexasAlternative high schoolsHealth disparitiesPublic health surveillanceSubstance use

Identifiers

PMID31398476
PMCPMC10460516

What OpenQuestion holds

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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.