Evidence map›Paper›PMID 37862848›Full record

ArticleThe International journal on drug policy2023

Social-spatial network structures among young urban and suburban persons who inject drugs in a large metropolitan area.

Qinyun Lin, Javier Andres Rojas Aguilera, Leslie D Williams, Mary Ellen Mackesy-Amiti, Carl Latkin, Juliet Pineros, Marynia Kolak, Basmattee Boodram

Open access · hybridAbstract read
In one paragraph

Article in The International journal on drug policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 3 countries.

Qinyun LinSchool of Public Health and Community Medicine, Sahlgrenska Academy, University of Gothenburg. Electronic address: qinyun.lin@gu.se.
Javier Andres Rojas AguileraCenter for Spatial Data Science, University of Chicago. Electronic address: jarojasag@uchicago.edu.
Leslie D WilliamsDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago. Electronic address: lesliedw@uic.edu.
Mary Ellen Mackesy-AmitiDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago. Electronic address: mmamiti@uic.edu.
Carl LatkinDepartment of Health, Behavior, and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD. Electronic address: carl.latkin@jhu.edu.
Juliet PinerosDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago. Electronic address: jpiner2@uic.edu.
Marynia KolakDepartment of Geography and GIScience, University of Illinois, Urbana-Champaign. Electronic address: mkolak@illinois.edu.
Basmattee BoodramDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago. Electronic address: bboodram@uic.edu.
Chicago Department of Public Health · USIllinois Department of Public Health · USCRC for Spatial information · AUJohns Hopkins University · USUniversity of Gothenburg · SEUniversity of Illinois Urbana-Champaign · US

Funding

Computational modeling for HCV vaccine trial design and optimal vaccine-based combination interventionsR01AI158666 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI Basmattee Boodram, Harel Dahari · 2022 to 2026
$3.5M
Contextual risk factors for hepatitis C among young persons who inject drugsR01DA043484 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BOODRAM, BASMATTEE · 2017 to 2021
$2.9M
NIAID NIH HHS R01 AI158666NIDA NIH HHS R01 DA043484
6 · The paper itself

Abstract

backgroundRecent studies underscore the significance of adopting a syndemics approach to study opioid misuse, overdose, hepatitis C (HCV) and HIV infections, within the broader context of social and environmental contexts in already marginalized communities. Social interactions and spatial contexts are crucial structural factors that remain relatively underexplored. This study examines the intersections of social interactions and spatial contexts around injection drug use. More specifically, we investigate the experiences of different residential groups among young (aged 18-30) people who inject drugs (PWID) regarding their social interactions, travel behaviors, and locations connected to their risk behaviors. By doing so, we aim to achieve a more comprehensive understanding of the multidimensional risk environment, thereby facilitating the development of informed policies.

methodsWe collected and examined data regarding young PWID's egocentric injection network and geographic activity spaces (i.e., where they reside, inject drugs, purchase drugs, and meet sex partners). Participants were stratified based on the location of all place(s) of residence in the past year i.e., urban, suburban, and transient (both urban and suburban) to i) elucidate geospatial concentration of risk activities within multidimensional risk environments based on kernel density estimates; and ii) examine spatialized social networks for each residential group.

resultsParticipants were mostly non-Hispanic white (59%); 42% were urban residents, 28% suburban, and 30% transient. We identified a spatial area with concentrated risky activities for each residential group on the West side of Chicago in Illinois where a large outdoor drug market area is located. The urban group (80%) reported a smaller concentrated area (14 census tracts) compared to the transient (93%) and suburban (91%) with 30 and 51 tracts, respectively. Compared to other areas in Chicago, the identified area had significantly higher neighborhood disadvantages. Significant differences were observed in social network structures and travel behaviors: suburban participants had the most homogenous network in terms of age and residence, transient participants had the largest network (degree) and more non-redundant connections, while the urban group had the shortest travel distance for all types of risk activities.

conclusionDistinct residential groups exhibit varying patterns of network interaction, travel behaviors, and geographical contexts related to their risk behaviors. Nonetheless, these groups share common concentrated risk activity spaces in a large outdoor urban drug market area, underscoring the significance of accounting for risk spaces and social networks in addressing syndemics within PWID populations.

Indexed as

Drug UsersHepatitis CHIV InfectionsSubstance Abuse, IntravenousHepacivirusHumansRisk-Takinginjection drug useneighborhood disadvantagerisk activity spacesocial network

Identifiers

PMID37862848
PMCPMC11616268
OpenAlexW4387762425

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.