Evidence map›Paper›PMID 27687534›Full record

ArticlePreventive medicine2016

Characterizing the intersection of Co-occurring risk factors for illicit drug abuse and dependence in a U.S. nationally representative sample.

Allison N Kurti, Diana R Keith, Alyssa Noble, Jeff S Priest, Brian Sprague, Stephen T Higgins

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2016. 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
1.2field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Allison N KurtiVermont Center on Behavior and Health, University of Vermont, United States; Department of Psychiatry, University of Vermont, United States.
Diana R KeithVermont Center on Behavior and Health, University of Vermont, United States; Department of Psychiatry, University of Vermont, United States.
Alyssa NobleVermont Center on Behavior and Health, University of Vermont, United States; Department of Psychiatry, University of Vermont, United States.
Jeff S PriestMedical Biostatistics Unit, University of Vermont, United States.
Brian SpragueVermont Center on Behavior and Health, University of Vermont, United States; Department of Surgery, University of Vermont, United States.
Stephen T HigginsVermont Center on Behavior and Health, University of Vermont, United States; Department of Psychiatry, University of Vermont, United States; Department of Psychological Science, University of Vermont, United States. Electronic address: shiggins@uvm.edu.
University of Vermont · USUniversity of Vermont Medical Center · US

Funding

Vermont Center on Behavior and HealthP20GM103644 · NIGMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI KHADANGA, SHERRIE · 2013 to 2022
$21.3M
TRAINING IN BEHAV. PHARMACOLOGY OF HUMAN DRUG DEPENDENCET32DA007242 · NIDA · UNIVERSITY OF VERMONT &ST AGRIC COLLEGE · PI HEIL, SARAH H, HIGGINS, STEPHEN T · 1990 to 2025
$8.2M
NIDA NIH HHS T32 DA007242NIGMS NIH HHS P20 GM103644
6 · The paper itself

Abstract

Few studies have attempted to characterize how co-occurring risk factors for substance use disorders intersect. A recent study examined this question regarding cigarette smoking and demonstrated that co-occurring risk factors generally act independently. The present study examines whether that same pattern of independent intersection of risk factors extends to illicit drug abuse/dependence using a U.S. nationally representative sample (National Survey on Drug Use and Health, 2011-2013). Logistic regression and classification and regression tree (CART) modeling were used to examine risk of past-year drug abuse/dependence associated with a well-established set of risk factors for substance use (age, gender, race/ethnicity, education, poverty, smoking status, alcohol abuse/dependence, mental illness). Each of these risk factors was associated with significant increases in the odds of drug abuse/dependence in univariate logistic regressions. Each remained significant in a multivariate model examining all eight risk factors simultaneously. CART modeling of these 8 risk factors identified subpopulation risk profiles wherein drug abuse/dependence prevalence varied from <1% to >80% corresponding to differing combinations of risk factors present. Alcohol abuse/dependence and cigarette smoking had the strongest associations with drug abuse/dependence risk. These results demonstrate that co-occurring risk factors for illicit drug/abuse dependence generally intersect in the same independent manner as risk factors for cigarette smoking, underscoring further fundamental commonalities across these different types of substance use disorders. These results also underscore the fundamental importance of differences in the presence of co-occurring risk factors when considering the often strikingly different prevalence rates of illicit drug abuse/dependence in U.S. population subgroups.

Indexed as

Illicit DrugsAdultAgedAlcoholismEthnicityFemaleHumansMaleMiddle AgedPrevalenceRacial GroupsRisk FactorsSmokingSubstance-Related DisordersSurveys and QuestionnairesUnited StatesIllicit DrugsAdultsClassification and regression tree (CART)Co-occurring risk factorsIllicit drug abuse and dependenceMultiple logistic regressionRisk factorsSubstance use disordersU.S. nationally representative sample

Identifiers

PMID27687534
PMCPMC5138160
OpenAlexW2526723601

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.