Evidence map›Paper›PMID 37400843›Full record

ArticleHarm reduction journal2023

Social and environmental determinants influencing injection drug use and HIV risk among two sister cities on the US-Mexico border: a comparative cross-sectional study, 2016-2018.

Julia Lechuga, Rebeca Ramos, Natasha Ludwig-Barron, Gilberto Perez, Maria Elena Ramos, João B Ferreira-Pinto, Jacquelin I Cordero, John Sauceda, Jorge Salazar

Open access · goldAbstract read
In one paragraph

Article in Harm reduction journal, 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 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 1 country.

Julia LechugaCollege of Health Sciences, The University of Texas at El Paso, El Paso, USA. julialec@utep.edu.
Rebeca RamosCollege of Health Sciences, The University of Texas at El Paso, El Paso, USA.
Natasha Ludwig-BarronThe University of California San Francisco, San Francisco, USA.
Gilberto PerezTexas State Health Department in Houston, Houston, USA.
Maria Elena RamosPrograma Compañeros, Ciudad Juárez, Chihuahua, Mexico.
João B Ferreira-PintoCollege of Health Sciences, The University of Texas at El Paso, El Paso, USA.
Jacquelin I CorderoThe University of Texas Health Science Center at Houston (UTHealth) School of Public Health, Houston, USA.
John SaucedaTexas State Health Department in Houston, Houston, USA.
Jorge SalazarTexas State Health Department in Houston, Houston, USA.
The University of Texas at El Paso · USUniversity of California, San Francisco · USUniversity of Texas Health Science Center at Dallas · US

Funding

Ujima Mentoring ProgramP30MH062246 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sheri Ann Lippman · 2001 to 2026
$57.4M
TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
Substance Use and HIV Prevention Research in Minority Communities Training ProgramR25DA028567 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Julia Lechuga, Torsten Brian Neilands · 2009 to 2026
$5.4M
Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
Adaptation and Implementation of Project Encuentro in the U.S.-Mexico BorderU01MD010657 · NIMHD · UNIVERSITY OF TEXAS EL PASO · PI LECHUGA, JULIA · 2016 to 2020
$2.2M
NCI NIH HHS T32 CA057712NIAID NIH HHS T32 AI060530NIDA NIH HHS R25 DA028567NIMHD NIH HHS U01 MD010657NIMH NIH HHS P30 MH062246NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

The economic, social, cultural and political milieus that influence injection drug-related HIV risk behaviors along the US-Mexico border in the previous decade have been studied comparing cities on an East-West axis. In an effort to inform interventions targeting factors beyond the individual level, we used a cross-sectional study design comparing people who inject drugs during 2016-2018, living on a North-South axis, in two cities-Ciudad Juárez, Chihuahua, Mexico and El Paso, Texas, USA-situated at the midpoint of the 2000 US-Mexico borderland stretch. We conceptualize injection drug use and its antecedents and consequences as influenced by factors operating at various levels of influence. Results of analysis comparing samples recruited from each border city indicated significant differences in demographic, socioeconomic, micro- and macro-level factors that affect risk. Similarities emerged in individual-level risk behaviors and some dynamics of risk at the drug use site most frequented to use drugs. In addition, analyses testing associations across samples indicated that different contextual factors such as characteristics of the drug use sites influenced syringe sharing. In this article, we reflect on the potential tailored interventions needed to target the context of HIV transmission risk among people who use drugs and reside in binational environment.

Indexed as

HIV InfectionsSubstance Abuse, IntravenousSubstance-Related DisordersCitiesCross-Sectional StudiesHumansMexicoBorder healthCommunity-based participatory researchHarm reductionHIVInjection drug useSocial determinants of healthSocial networksUS–Mexico border

Identifiers

PMID37400843
PMCPMC10318714
OpenAlexW4382937382

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.