Evidence map›Paper›PMID 29286835›Full record

ArticleThe American journal of drug and alcohol abuse2018

Drug use patterns and predictors among homeless youth: Results of an ecological momentary assessment.

Diane Santa Maria, Nikhil Padhye, Yijiong Yang, Kathryn Gallardo, Glenn-Milo Santos, Julie Jung, Michael Businelle

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of drug and alcohol abuse, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
9.8field-weighted citation impact, top 2% 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

33 citing papers in PubMed, 53 citations in OpenAlex.

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  13. Mobile Health Interventions for Substance Use Disorders.Annual review of clinical psychology · 2024
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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

7 authors at 4 institutions in 1 country.

Diane Santa Mariaa University of Texas Health Science Center , School of Nursing, Center for Nursing Research , Houston , TX , USA.
Nikhil Padhyea University of Texas Health Science Center , School of Nursing, Center for Nursing Research , Houston , TX , USA.ORCID 0000-0001-5738-7486
Yijiong Yangb University of Texas Health Science , Center School of Public Health , Houston , TX , USA.
Kathryn Gallardob University of Texas Health Science , Center School of Public Health , Houston , TX , USA.
Glenn-Milo Santosc Department of Community Health Systems, University of California , San Francisco School of Nursing , San Francisco , CA , USA.
Julie Jungd Rice University Houston , TX , USA.
Michael Businellee The University of Oklahoma Health Sciences Center, Oklahoma Tobacco Research Center , Oklahoma City , OK , USA.ORCID 0000-0002-9038-2238
The University of Texas Health Science Center at Houston · USRice University · USUniversity of California, San Francisco · USUniversity of Oklahoma Health Sciences Center · US

Funding

Minority Populations Prevention Researcher TrainingR25HD045810 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI NEILANDS, TORSTEN BRIAN · 2003 to 2018
$4.3M
NICHD NIH HHS R25 HD045810
6 · The paper itself

Abstract

backgroundAlcohol and drug use is associated with significant morbidity and mortality and is highly prevalent among homeless youth. Ecological Momentary Assessments (EMA) have been used to examine the effect of urges on drug use, though not among homeless youth.

objectivesWe assessed the patterns of drug use and the correlation between real-time contextual factors and drug use using EMA collected daily. We identified predictors of drug use among a sample of homeless youth 18-25 years old in Houston, Texas.

methodsHomeless youth (n = 66, 62% male) were recruited from a drop-in center between September 2015 and May 2016. We used generalized linear mixed models and cross-validation methods to determine the best predictive model of drug use.

resultsThe overall drug use was high: 61% and 32% of participants reported using drugs or alcohol at least one day, respectively. Marijuana and synthetic marijuana use (i.e., Kush, K2, incense packs) were reported most frequently; 86% and 13% of the total drug use EMAs, respectfully. Drug use urge was reported on 26% of days and was the highest on drug use days. Drug use was predicted by discrimination, pornography use, alcohol use, and urges for drugs, alcohol, and to steal.

conclusionsEMA can be used to predict drug use among homeless youth. Drug use treatment among homeless youth should address the role of experiencing discrimination, pornography and alcohol use, and urge management strategies on drug use. Research is needed to determine if EMA informed just-in-time interventions targeting these predictors can reduce use.

Indexed as

Ecological Momentary AssessmentAdolescentAdultAlcohol DrinkingEroticaFemaleHomeless YouthHumansLinear ModelsMaleMarijuana UseModels, TheoreticalSocial DiscriminationSubstance-Related DisordersTexasYoung AdultDrug usedrug use urgeecological momentary assessmentshomeless youth

Identifiers

PMID29286835
PMCPMC11974364
OpenAlexW2778774723

What OpenQuestion holds

Textmetadata
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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.