Evidence map›Paper›PMID 39939965›Full record

ArticleBMC public health2025

Material hardship, forced displacement, and negative health outcomes among unhoused people who use drugs in Los Angeles, California and Denver, Colorado: a latent class analysis.

Jesse Lloyd Goldshear, Siddhi S Ganesh, Annick Borquez, Lillian Gelberg, Karen F Corsi, Ricky N Bluthenthal

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jesse Lloyd GoldshearDepartment of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego School of Medicine, 9500 Gilman Drive #0507, La Jolla, CA, 92093-0507, USA. jgoldshear@health.ucsd.edu.
Siddhi S GaneshDepartment of Population and Public Health Sciences, Keck Medicine of University of Southern California, Los Angeles, USA.
Annick BorquezDepartment of Medicine, Division of Infectious Diseases and Global Public Health, University of California San Diego School of Medicine, 9500 Gilman Drive #0507, La Jolla, CA, 92093-0507, USA.
Lillian GelbergDepartment of Family Medicine, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Karen F CorsiDepartment of Psychiatry, University of Colorado School of Medicine, Aurora, USA.
Ricky N BluthenthalDepartment of Population and Public Health Sciences, Keck Medicine of University of Southern California, Los Angeles, USA.

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
Cannabis use and health outcomes among opioid-using people who inject drugs in the context of cannabis legalizationR01DA046049 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BLUTHENTHAL, RICKY N, CORSI, KAREN F · 2019 to 2022
$2.6M
Real-time prediction of emerging drug use epidemics in the United StatesDP2DA049295 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BORQUEZ, ANNICK · 2019 to 2019
$2.4M
Risk Environment Effects on Ontological Security Among People Who Use Drugs: An Ethnographic StudyF31DA054763 · NIDA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GOLDSHEAR, JESSE LLOYD · 2021 to 2023
$77k
NIAID NIH HHS P30 AI036214NIDA NIH HHS DP2 DA049295NIDA NIH HHS DP2DA049295NIDA NIH HHS F31 DA054763NIDA NIH HHS F31DA054763NIDA NIH HHS R01 DA046049NIDA NIH HHS R01DA046049
6 · The paper itself

Abstract

backgroundHomelessness is a growing concern in the United States, especially among people who use drugs (PWUD). The degree of material hardship among this population may be linked to worse health outcomes. PWUD experiencing homelessness in urban areas are increasingly subjected to policies and social treatment, such as forced displacement, which may worsen material hardship. It is critical to describe hardship among PWUD and examine if it is linked to health outcomes.

methodsData were collected as part of a prospective cohort study of PWUD in Los Angeles, California and Denver, Colorado (n = 476). Analysis sample size was smaller (N = 395) after selecting for people experiencing homelessness and for whom data were complete. Five indicators assessing hardship (difficulty finding food, clothing, restrooms, places to wash/shower, and shelter) in the past three months were obtained from participants at baseline and were used in latent class analysis (LCA). We chose a base latent class model after examination of global fit statistics. We then built three auxiliary models using the three-step Bolck-Croon-Hagenaars (BCH) method to test the relationship of latent class membership to several hypothesized social and health variables in this same three month time period.

resultsFit statistics, minimum classification probabilities, and ease of interpretation indicated a three-class solution for level of material difficulty. We termed these classes "High Difficulty" (n = 82), "Mixed Difficulty" (n = 215), and "Low Difficulty" (n = 98). Average classification probabilities indicated good class separability. "High Difficulty" participants had high probabilities of usually having difficulty accessing all five resources. "Mixed Difficulty" participants indicated a range of difficulty accessing all resources, with restrooms and bathing facilities being the most difficult. "Low Difficulty" participants were defined by high probabilities of never having access difficulty. In auxiliary analyses, there were significant (p < 0.05) differences in experiences of displacement, opioid withdrawal symptoms, nonfatal overdose, and violent victimization between classes.

conclusionsThis LCA indicates that among PWUD experiencing homelessness there exist distinct differences in resource access and material hardship, and that these differences are linked with political, social, substance use, and other health outcomes. We add to the literature on the relationship between poverty and health among PWUD. Policies which increase difficulty accessing necessary material resources may negatively impact health in this population.

Indexed as

Ill-Housed PersonsSubstance-Related DisordersAdultCaliforniaColoradoFemaleHumansLatent Class AnalysisLos AngelesMaleMiddle AgedProspective StudiesDisplacementDrug overdoseHomelessnessLatent class analysisPeople who use drugs

Identifiers

PMID39939965
PMCPMC11823192

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Registered trials

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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.