Evidence map›Paper›PMID 36480216›Full record

ArticleJournal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing2023

Prevalence and correlates of methamphetamine use in transitional age youth experiencing homelessness or housing instability in San Francisco, CA.

Adam Leonard, Janessa Broussard, Jennifer Jain, Shanil Kumar, Glenn-Milo Santos, Carol Dawson-Rose

Open access · hybridAbstract read
In one paragraph

Article in Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. 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

6 authors at 1 institution in 1 country.

Adam LeonardDepartment of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-1121-6993
Janessa BroussardDepartment of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
Jennifer JainDepartment of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
Shanil KumarDepartment of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
Glenn-Milo SantosDepartment of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
Carol Dawson-RoseDepartment of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, California, USA.
University of California, San Francisco · US

Funding

Substance Use Disorders Treatment/Services Research Training ProgramT32DA007250 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Derek D Satre, Janice Y Tsoh · 1991 to 2026
$7.4M
Women, Intersectionality, Substance Use and HIV ( WISH)K01DA056306 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Payaal Jain · 2022 to 2026
$1.0M
NIDA NIH HHS K01 DA056306NIDA NIH HHS L60 DA054664NIDA NIH HHS T32 DA007250SAMHSA HHS H79 SP082094
6 · The paper itself

Abstract

introductionSubstance use, including methamphetamine use, is a contributing factor in HIV acquisition and treatment. Stimulant use is linked to mental health yet there is limited data from youth in community-based settings.

designOne hundred marginally housed or homeless transitional age youth (TAY) were recruited at Larkin Street Youth Services and completed a survey on mental health and substance use.

methodsWe conducted secondary data analysis using multivariable logistic regression models to identify the correlates of methamphetamine use among TAY.

resultsThe participants' mean age was 22. Of those who reported methamphetamine use in the past 3 months, 64% were Gay, Bisexual, or Pansexual. Factors independently associated with methamphetamine use were; living with HIV (adjusted odds ratio [aOR] = 3.18, 95% CI = 1.11-9.15), depressive symptoms (aOR = 6.02, 95% CI = 1.46-24.78), symptoms of PTSD (aOR = 13.38, 95% CI = 1.59-112.73), polysubstance use in the past 3 months (aOR = 50.02, 95% CI = 9.72-257.46) and a history of injection drug use (aOR = 8.38, 95% CI = 1.87-37.53).

conclusionsResults from this study suggest a need to develop, adapt, and rapidly implement comprehensive interventions that address the combined epidemics of substance use, HIV, and mental health among TAY. CLINICAL RELEVANCE: This article examines factors associated with methamphetamine use among transitional age youth (TAY) experiencing homelessness or housing instability. Several factors were associated with use, including depression, PTSD, HIV status, polysubstance use, and injection drug use. These findings highlight the need for nurses to assess for methamphetamine use among youth as well as associated mental health and physical health problems. Nurses should link TAY who are using methamphetamine to evidence-based treatment programs to address substance use and comorbid conditions.

Indexed as

HIV InfectionsIll-Housed PersonsMethamphetamineSubstance-Related DisordersAdolescentAdultHousing InstabilityHumansPrevalenceRisk FactorsSan FranciscoYoung AdultMethamphetamineHIVmental healthstimulant usetransitional age youth

Identifiers

PMID36480216
PMCPMC11288896
OpenAlexW4310942044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.