Evidence map›Paper›PMID 37941655›Full record

ArticleJournal of public health research2023

Associations between small-area sociodemographic characteristics and intimate partner violence in Montréal, Québec.

Paul Rodrigues, Mylène Fernet, Marie-Marthe Cousineau, Mathieu Philibert

Abstract read
In one paragraph

Article in Journal of public health research, 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
–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

2 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

4 authors.

Paul RodriguesInstitut Santé et Société, Université du Québec à Montréal, Montréal, Québec, Canada.
Mylène FernetInstitut Santé et Société, Université du Québec à Montréal, Montréal, Québec, Canada.
Marie-Marthe CousineauÉcole de Criminologie, Université de Montréal, Montréal, Québec, Canada.
Mathieu PhilibertInstitut Santé et Société, Université du Québec à Montréal, Montréal, Québec, Canada.ORCID https://orcid.org/0000-0001-8056-388X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intimate partner violence (IPV) affects many individuals and can have a significant impact on their health and well-being. In order to inform prevention strategies, several studies have focused on the determinants of IPV. However, knowledge on the association between neighbourhood characteristics and IPV remains scarce. The social disorganization theory posits that certain neighbourhood characteristics are associated with violent behaviours. This theory has been used to explain spatial variations in IPV, but most studies have been conducted in the United States. Little is known about the effect of neighbourhood factors in urban contexts outside of the United States. Design and methods: Using police data from 2016 and 2017, this study estimated the association between sociodemographic characteristics of neighbourhoods (socioeconomic status, single-parenthood, residential instability and ethnocultural heterogeneity) and IPV victimization in Montréal, Québec. Results: Results suggest a neighbourhood-level variation in IPV, and that neighbourhood-level characteristics are associated with IPV victimization. Specifically, the likelihood of IPV is higher in neighbourhoods with the lowest SES level (OR = 2.80, 95%CI: 2.47-3.17, Conclusion: Although neighbourhood-level interventions to reduce IPV are rare, our results highlight the importance of developing such preventive strategies. Prevention programs targeting high-risk neighbourhoods may prove effective in reducing IPV.

Indexed as

domestic violenceIntimate partner violenceneighbourhoodssocial disorganization theorysocial inequalities

Identifiers

PMID37941655
PMCPMC10629306

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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.