Evidence map›Paper›PMID 24413701›Full record

Trial reportInternational journal of environmental research and public health2014

Exploring neighborhood influences on small-area variations in intimate partner violence risk: a Bayesian random-effects modeling approach.

Enrique Gracia, Antonio López-Quílez, Miriam Marco, Silvia Lladosa, Marisol Lila

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in International journal of environmental research and public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
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  13. Spatio-Temporal Analysis of Suicide-Related Emergency Calls.International journal of environmental research and public health · 2017
    Article
  14. Validation of a Google Street View-Based Neighborhood Disorder Observational Scale.Journal of urban health : bulletin of the New York Academy of Medicine · 2017
    Article
  15. 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

5 authors.

Enrique GraciaDepartment of Social Psychology, University of Valencia, Valencia 46010, Spain. enrique.gracia@uv.es.
Antonio López-QuílezDepartment of Social Psychology, University of Valencia, Valencia 46010, Spain.
Miriam MarcoDepartment of Social Psychology, University of Valencia, Valencia 46010, Spain. mimar4@alumni.uv.es.
Silvia LladosaDepartment of Social Psychology, University of Valencia, Valencia 46010, Spain. silvia.lladosa@uv.es.
Marisol LilaDepartment of Social Psychology, University of Valencia, Valencia 46010, Spain. marisol.lila@uv.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper uses spatial data of cases of intimate partner violence against women (IPVAW) to examine neighborhood-level influences on small-area variations in IPVAW risk in a police district of the city of Valencia (Spain). To analyze area variations in IPVAW risk and its association with neighborhood-level explanatory variables we use a Bayesian spatial random-effects modeling approach, as well as disease mapping methods to represent risk probabilities in each area. Analyses show that IPVAW cases are more likely in areas of high immigrant concentration, high public disorder and crime, and high physical disorder. Results also show a spatial component indicating remaining variability attributable to spatially structured random effects. Bayesian spatial modeling offers a new perspective to identify IPVAW high and low risk areas, and provides a new avenue for the design of better-informed prevention and intervention strategies.

Indexed as

Bayes TheoremCitiesCrimeDomestic ViolenceEmigrants and ImmigrantsFemaleHumansModels, TheoreticalRegression AnalysisResidence CharacteristicsRisk AssessmentSpainWomen

Identifiers

PMID24413701
PMCPMC3924479

What OpenQuestion holds

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LicenceCC BY
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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.