Evidence map›Paper›PMID 32812273›Full record

ArticleAddiction (Abingdon, England)2021

Social network predictors of recent and sustained injection drug use cessation: findings from a longitudinal cohort study.

Abby E Rudolph, Elizabeth Upton, April M Young, Jennifer R Havens

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 13 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

4 authors at 3 institutions in 1 country.

Abby E RudolphDepartment of Epidemiology and Biostatistics, Temple University College of Public Health, Philadelphia, PA, USA.ORCID 0000-0003-1786-3307
Elizabeth UptonDepartment of Mathematics and Statistics, Williams College, Williamstown, MA, USA.
April M YoungDepartment of Epidemiology, University of Kentucky College of Public Health, Lexington, KY, USA.ORCID 0000-0003-3969-3249
Jennifer R HavensCenter on Drug and Alcohol Research, Department of Behavioral Science, University of Kentucky College of Medicine, Lexington, KY, USA.
University of Kentucky · USTemple University · USWilliams College · US

Funding

Examining the Impact of the Twin Epidemics of Methamphetamine and Opioid Use on Overdose, Risky Sex and Treatment Engagement among PWUD in Two Rural Appalachian CohortsR01DA033862 · NIDA · UNIVERSITY OF KENTUCKY · PI Jennifer R Havens · 2012 to 2026
$6.9M
Social networks and HIV risk among rural drug usersR01DA024598 · NIDA · UNIVERSITY OF KENTUCKY · PI HAVENS, JENNIFER R · 2008 to 2012
$2.6M
HIV and Substance Abuse Epidemiology among IDUs: Structural and Network Risk FactK01DA033879 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RUDOLPH, ABBY ELISE · 2012 to 2016
$877k
Combining social network, spatial, and phylogenetic approaches to identify new HIV infectionsR21AI131979 · NIAID · TEMPLE UNIV OF THE COMMONWEALTH · PI RUDOLPH, ABBY ELISE · 2017 to 2018
$517k
NIAID NIH HHS R21 AI131979NIDA NIH HHS K01 DA033879NIDA NIH HHS R01 DA024598NIDA NIH HHS R01 DA033862
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe US opioid crisis has led to increases in overdose fatalities and the incidence of HIV, hepatitis C and other infections. This analysis examines social network predictors of recent (self-report injection followed by non-injection) and sustained (self-report non-injection at two consecutive visits among those who previously injected) injection cessation in Appalachian Kentucky.

designData were collected through bi-annual longitudinal assessments for Social Networks among Appalachian People (SNAP; 2008-17). Using logistic regression with generalized estimating equations that clustered on individuals, we regressed non-injection status on the number of social network members who (a) did not inject and (b) recently stopped injecting and tested for interactions between each social network exposure and prior non-injection status. Social network exposures were self-reported.

settingRural eastern Kentucky, USA.

participantsParticipants entered the analysis only after reporting recent injection and had to have had at least two consecutive study visits (n = 326). MEASUREMENTS: Interviewer-administered surveys collected individual-level socio-demographics, recent (past 6 months) drug use behaviors and the names of recent social support, sex and drug-use partners.

findingsAfter adjusting for confounders, the number of non-injecting social network members was positively associated with recent/sustained injection cessation (adjusted odds ratio = 1.27; 95% confidence interval = 1.13-1.42) and having more social network members was associated with reduced odds of recent/sustained injection cessation. The number of previously injecting social network members who had recently stopped injecting was not statistically significantly associated with injection cessation. Neither of the interactions we tested for was statistically significant, suggesting that the relationships may be similar for those who recently stopped injecting versus had not injected for at least 1 year.

conclusionsFor each additional network member who did not inject drugs, there was an increased odds of recent and sustained injection cessation among people with a history of injection drug use in Appalachian Kentucky.

Indexed as

Pharmaceutical PreparationsSubstance Abuse, IntravenousCohort StudiesHumansLongitudinal StudiesSocial NetworkingPharmaceutical PreparationsInjection drug use cessationlongitudinal cohort studyopioidsruralsocial influencesocial norms

Identifiers

PMID32812273
PMCPMC7889767
OpenAlexW3075598042

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.