CoChat
Sign Up
Cited by 152Intimate Partner and Family ViolenceStalking, Cyberstalking, and HarassmentPsychopathy, Forensic Psychiatry, Sexual Offending

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Mental disorders and intimate partner violence perpetrated by men towards women: A Swedish population-based longitudinal study

Open access
Yu, Rongqin, Nevado-Holgado, Alejo J., Molero, Yasmina, D’Onofrio, Brian M., Larsson, Henrik, Howard, Louise M., Fazel, Seena·2019·PLOS Medicine
DOI 10.1371/journal.pmed.1002995PMC PMC6917212
Open this paper in CoChat — free account

Abstract

BACKGROUND: Intimate partner violence (IPV) against women is associated with a wide range of adverse outcomes. Although mental disorders have been linked to an increased risk of perpetrating IPV against women, the direction and magnitude of the association remain uncertain. In a longitudinal design, we examined the association between mental disorders and IPV perpetrated by men towards women in a population-based sample and used sibling comparisons to control for factors shared by siblings, such as genetic and early family environmental factors. METHODS AND FINDINGS: Using Swedish nationwide registries, we identified men from 9 diagnostic groups over 1998-2013, with sample sizes ranging from 9,529 with autism to 88,182 with depressive disorder. We matched individuals by age and sex to general population controls (ranging from 186,017 to 1,719,318 controls), and calculated the hazard ratios of IPV against women. We also estimated the hazard ratios of IPV against women in unaffected full siblings (ranging from 4,818 to 37,885 individuals) compared with the population controls. Afterwards, we compared the hazard ratios for individuals with psychiatric diagnoses with those for siblings using the ratio of hazard ratios (RHR). In sensitivity analyses, we examined the contribution of previous IPV against women and common psychiatric comorbidities, substance use disorders and personality disorders. The average follow-up time across diagnoses ranged from 3.4 to 4.8 years. In comparison to general population controls, all psychiatric diagnoses studied except autism were associated with an increased risk of IPV against women in men, with hazard ratios ranging from 1.5 (95% CI 1.3-1.7) to 7.7 (7.2-8.3) (p-values < 0.001). In sibling analyses, we found that men with depressive disorder, anxiety disorder, alcohol use disorder, drug use disorder, attention deficit hyperactivity disorder, and personality disorders had a higher risk of IPV against women than their unaffected siblings, with RHR values ranging from 1.7 (1.3-2.1) to 4.4 (3.7-5.2) (p-values < 0.001). Sensitivity analyses showed higher risk of IPV against women in men when comorbid substance use disorders and personality disorders were present, compared to risk when these comorbidities were absent. In addition, increased IPV risk was also found in those without previous IPV against women. The absolute rates of IPV against women ranged from 0.1% to 2.1% across diagnoses over 3.4 to 4.8 years. Individuals with alcohol use disorders (1.7%, 1,406/82,731) and drug use disorders (2.1%, 1,216/57,901) had the highest rates. Our analyses were restricted to IPV leading to arrest, suggesting that the applicability of our results may be limited to more severe forms of IPV perpetration. CONCLUSIONS: Our results indicate that most of the studied mental disorders are associated with an increased risk of perpetrating IPV towards women, and that substance use disorders, as principal or comorbid diagnoses, have the highest absolute and relative risks. The findings support the development of IPV risk identification and prevention services among men with substance use disorders as an approach to reduce the prevalence of IPV.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pmed.1002995

Cites

68 of 68 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig 1 Ratio of hazard ratios (men with mental disorders versus siblings) of intimate partner violence against women. The ratio of hazard ratios is the hazard ratio for individuals with mental disorders versus 20 age- and sex-matched general population controls divided by the hazard ratio for unaffected siblings versus 20 age- and sex-matched general population controls. The bars represent the 95% confidence intervals. ADHD, attention deficit hyperactivity disorder.
Fig 1 Ratio of hazard ratios (men with mental disorders versus siblings) of intimate partner violence against women. The ratio of hazard ratios is the hazard ratio for individuals with mental disorders versus 20 age- and sex-matched general population controls divided by the hazard ratio for unaffected siblings versus 20 age- and sex-matched general population controls. The bars represent the 95% confidence intervals. ADHD, attention deficit hyperactivity disorder.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 67 references

Research works printed but not linked: 4

  1. World Health Organization, 2012, Understanding and addressing violence against women: intimate partner violence
  2. World Health Organization, 2010, London School of Hygiene & Tropical Medicine. Preventing intimate partner and sexual violence against women: taking action and generating evidence
  3. Office for National Statistics, 2016, Intimate personal violence and partner abuse
  4. World Health Organization, 2013, London School of Hygiene & Tropical Medicine, South African Medical Research Council. Global and regional estimates of violence against women: prevalence and health effects of intimate partner violence and non-partner sexual violence

Cited by

Sorted by citations

Related

See all

Metadata

Authors
Yu, R., Nevado-Holgado, A. J., Molero, Y., D’Onofrio, B. M., Larsson, H., Howard, L. M., & Fazel, S.
Affiliations
  • University of Oxford (GB)
  • Örebro University (SE)
  • King's College London (GB)
Corresponding author
Fazel, Seena
ORCID
Venue
PLOS Medicine
Publisher
Public Library of Science (PLoS)
Published
2019-12-17
Volume
16
Issue
12
Pages
e1002995
ISSN
  • 1549-1277 (ISSN-L)
  • 1549-1676
DOI
10.1371/journal.pmed.1002995
PMC
PMC6917212
OpenAlex
W2995608653
Cited by
152
References
67
Citations by year
2026: 16 · 2025: 20 · 2024: 26 · 2023: 27 · 2022: 24 · 2021: 25 · 2020: 14
FWCI
15.36
Type
journal article
Language
en
Open access
Licence
Locations
  • PLoS Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Research Portal (King's College London) (submittedVersion, cc-by)
Funders
Wellcome Trust (202836/Z/16/Z)
Topics
  • Social Sciences › Health › Intimate Partner and Family Violence
  • Social Sciences › Sociology and Political Science › Stalking, Cyberstalking, and Harassment
  • Social Sciences › Psychology › Clinical Psychology › Psychopathy, Forensic Psychiatry, Sexual Offending
Keywords
intimate partner violence, mental illness, psychiatric comorbidity, substance use disorders, personality disorders, depressive disorders, anxiety disorders, alcoholism, drug use disorders, attention deficit hyperactivity disorder, autism spectrum disorder, sibling comparison, genetic and environmental factors, violence against women, Sweden, longitudinal cohort, registry study, risk factors for violence
MeSH terms
Intimate Partner Violence, Adolescent, Adult, Alcoholism, Mental Disorders, Female, Humans, Longitudinal Studies, Male, Middle Aged, Risk Factors, Sweden, Comorbidity, Prevalence, Substance-Related Disorders, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review