Evidence map›Paper›PMID 40227179›Full record

ArticleAggressive behavior2025

Intentional Harm to Animals: A Multidimensional Approach.

Laurent Bègue, Serge Garcet, David Weinberger

Abstract read
In one paragraph

Article in Aggressive behavior, 2025. 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

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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

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

3 authors.

Laurent BègueUniversité Grenoble Alpes, LIP/PC2S, Saint-Martin-d'Heres, France.ORCID 0000-0001-8078-5802
Serge GarcetCriminology Department, University of Liège, Liège Sart-Tilman, Belgium.
David WeinbergerInstitut de relations internationales et stratégiques, French National Institute of Higher Studies on Security and Justice, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite growing awareness of the social and psychological issues linked with animal abuse, there is a lack of large-scale research on the multidimensional factors at play in relation to such abuse in the adult population. In this first survey on animal abuse carried out in higher education in France and based on a highly powered sample (N = 55,040 participants), we investigated the relative weight of risk factors pertaining to major criminological dimensions in a multivariate model controlling for relevant demographics: General Strain Theory (GST), Social Bond Theory (SBT), and Generalized Deviance Theory (GDT), as well as three key psychological dimensions: Callousness, Sensation seeking, and Impulse control difficulties. We observed that 6.4% of the participants declared having perpetrated animal abuse in the past, with males having done so about three times more often than females. Animal abuse was linked with callousness, difficulties in impulse control and sensation seeking. Participants who reported a climate of violence in their family, or who had witnessed acts of violence by their father against their mother, were particularly prone to abuse animals, which supported GST predictions. To a lesser extent, in line with SBT, animal abuse was higher among students with lower attachment to their mother, and who had a weaker belief in justice. Finally, animal abuse was perpetrated significantly more often by participants reporting higher alcohol consumption, as predicted by GDT. In summary, animal harm is related to a combination of risk factors pertaining to major criminological and psychological perspectives on aggression and violence, knowledge of which is useful in prioritizing future research directions and prevention strategies.

Indexed as

ViolenceAdolescentAdultAnimalsFemaleFranceHumansMaleMiddle AgedRisk FactorsYoung Adultanimal abusecallousnessgeneral deviance theorygeneral strain theoryself controlsensation seekingsocial bond theory

Identifiers

PMID40227179
PMCPMC11995979

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LicenceCC BY-NC-ND
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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.