Evidence map›Paper›PMID 36901020›Full record

ArticleInternational journal of environmental research and public health2023

Differences in Drug Use among Persons Experiencing Homelessness According to Gender and Nationality.

Alícia Parés-Bayerri, Fran Calvo, Sílvia Font-Mayolas, Sonia Panadero, José Juan Vázquez

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Observational
  2. Review
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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

5 authors.

Alícia Parés-BayerriSocial Psychology Department, Universitat de Girona, 17003 Girona, Spain.
Fran CalvoSerra Húnter Fellow, Pedagogy Department, Quality of Life Research Institute, Universitat de Girona, Plaça de Sant Domènec, 17003 Girona, Spain.ORCID 0000-0002-0300-8548
Sílvia Font-MayolasPsychology Department, Quality of Life Research Institute, Universitat de Girona, 17003 Girona, Spain.ORCID 0000-0002-4216-3604
Sonia PanaderoClinical Psychology Department, Universidad Complutense de Madrid, 28040 Madrid, Spain.
José Juan VázquezSocial Psychology Department, Universidad de Alcalá, 28871 Madrid, Spain.ORCID 0000-0003-4601-1920

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main aims of this article are to update the data related to drug and alcohol use in persons experiencing homelessness (PEH) who use shelters, and to see if there are significant differences in their drug use depending on their gender and nationality. The article presents an analysis of the interconnections between the results of drug dependence detection tools (Alcohol Use Disorders Identification Test (AUDIT), Drug Abuse Screening Test (DAST-10), Severity of Dependence Scale (SDS)) according to gender and nationality with the intention of identifying specific needs that lead to new lines of research into better approaches to homelessness. A cross-sectional, observational and analytical method was used to analyse the experiences of persons experiencing homelessness who use various shelters in the cities of Madrid, Girona, and Guadalajara (Spain). The results show that there are no gender differences in the risks of using drugs and drug addiction, but there are differences in terms of nationality for drug addiction, with Spanish nationals showing a greater tendency to develop drug addiction. These findings have significant implications, as they highlight socio-cultural and socio-educational influence as risk factors in drug addiction behaviours.

Indexed as

AlcoholismIll-Housed PersonsSubstance-Related DisordersCross-Sectional StudiesEthnicityHumansaddictiondrug abusehomelessnessimmigrantsmental healthSpainsubstance use disorders

Identifiers

PMID36901020
PMCPMC10001730

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measurements read165
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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.