Evidence map›Paper›PMID 31545818›Full record

ArticlePloS one2019

Social and structural factors associated with substance use within the support network of adults living in precarious housing in a socially marginalized neighborhood of Vancouver, Canada.

Verena Knerich, Andrea A Jones, Sam Seyedin, Christopher Siu, Louie Dinh, Sara Mostafavi, Alasdair M Barr, William J Panenka, Allen E Thornton, William G Honer and 1 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

11 authors.

Verena KnerichDepartments of Computer Science, and Cultural Anthropology, Ludwig-Maximilians University, Munich, Germany.
Andrea A JonesDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Sam SeyedinDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Christopher SiuDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Louie DinhDepartment of Computer Science, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-0457-0142
Sara MostafaviDepartment of Statistics, University of British Columbia, Vancouver, BC, Canada.
Alasdair M BarrDepartment of Anesthesia, Pharmacology and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
William J PanenkaDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.
Allen E ThorntonDepartment of Psychology, Simon Fraser University, Burnaby, BC, Canada.
William G HonerDepartment of Psychiatry, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-7628-5108
Alexander R RutherfordDepartment of Mathematics, Simon Fraser University, Burnaby, BC, Canada.ORCID 0000-0001-5661-2063

Funding

CIHR CBG-101827CIHR MOP-137103
6 · The paper itself

Abstract

backgroundThe structure of a social network as well as peer behaviours are thought to affect personal substance use. Where substance use may create health risks, understanding the contribution of social networks to substance use may be valuable for the design and implementation of harm reduction or other interventions. We examined the social support network of people living in precarious housing in a socially marginalized neighborhood of Vancouver, and analysed associations between social network structure, personal substance use, and supporters' substance use.

methodsAn ongoing, longitudinal study recruited 246 participants from four single room occupancy hotels, with 201 providing social network information aligned with a 6-month observation period. Use of tobacco, alcohol, cannabis, cocaine (crack and powder), methamphetamine, and heroin was recorded at monthly visits. Ego- and graph-level measures were calculated; the dispersion and prevalence of substances in the network was described. Logistic mixed effects models were used to estimate the association between ego substance use and peer substance use. Permutation analysis was done to test for randomness of substance use dispersion on the social network.

resultsThe network topology corresponded to residence (Hotel) with two clusters differing in demographic characteristics (Cluster 1 -Hotel A: 94% of members, Cluster 2 -Hotel B: 95% of members). Dispersion of substance use across the network demonstrated differences according to network topology and specific substance. Methamphetamine use (overall 12%) was almost entirely limited to Cluster 1, and absent from Cluster 2. Different patterns were observed for other substances. Overall, ego substance use did not differ over the six-month period of observation. Ego heroin, cannabis, or crack cocaine use was associated with alter use of the same substances. Ego methamphetamine, powder cocaine, or alcohol use was not associated with alter use, with the exception for methamphetamine in a densely using part of the network. For alters using multiple substances, cannabis use was associated with lower ego heroin use, and lower ego crack cocaine use. Permutation analysis also provided evidence that dispersion of substance use, and the association between ego and alter use was not random for all substances.

conclusionsIn a socially marginalized neighborhood, social network topology was strongly influenced by residence, and in turn was associated with type(s) of substance use. Associations between personal use and supporter's use of a substance differed across substances. These complex associations may merit consideration in the design of interventions to reduce risk and harms associated with substance use in people living in precarious housing.

Indexed as

Social MarginalizationSocial SupportAdultAlcoholismBritish ColumbiaCocaine SmokingFemaleHousingHumansLongitudinal StudiesMaleMarijuana AbuseResidence CharacteristicsSmokingSocioeconomic FactorsSubstance-Related Disorders

Identifiers

PMID31545818
PMCPMC6756550

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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.