Evidence map›Paper›PMID 38644980›Full record

ArticleJournal of family violence2024

Cumulative Lifetime Violence, Gender, Social Determinants of Health and Mental Health in Canadian Men: A Latent Class Analysis.

Kelly Scott-Storey, Sue O'Donnell, Nancy Perrin, Judith Wuest

Abstract read
In one paragraph

Article in Journal of family violence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Kelly Scott-StoreyFaculty of Nursing, University of New Brunswick, Fredericton, NB Canada.ORCID 0000-0002-2572-8060
Sue O'DonnellFaculty of Nursing, University of New Brunswick, Fredericton, NB Canada.ORCID 0000-0002-4011-3419
Nancy PerrinSchool of Nursing, Johns Hopkins University, Baltimore, MD USA.ORCID 0000-0002-2025-6543
Judith WuestFaculty of Nursing, University of New Brunswick, Fredericton, NB Canada.ORCID https://orcid.org/0000-0002-3968-445X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Among men, violence is pervasive and associated with poor mental health, but little is known about which men are most vulnerable. Our purpose is to address this gap by exploring mental health and social determinants of health (SDOH) including gender role conflict (GRC) in heterogenous groups of men with distinct patterns of cumulative lifetime violence (CLV) as target and perpetrator. Methods: Latent class analysis was conducted using means of 64 indicators of CLV severity collected from a community sample of 685 eastern Canadian men, ages 19 to 65 years. Class differences by SDOH, and depression, anxiety, and posttraumatic stress disorder (PTSD) were explored with Chi-square and analysis of variance. Results: A 4-class solution was optimal. Class 1 had the lowest CLV severity; were more likely to be better educated, employed, and have little difficulty living on their incomes; and had better mental health than other classes. Class 2, characterized by moderate psychological violence as both target and perpetrator, had mean depression and PTSD scores at clinical levels, and more difficulty living on income than Class 1. Classes 3 and 4 were typified by high severity CLV as target but differentiated by Class 4 having the highest perpetration severity, higher GRC, and being older. In both classes, mean mental health scores were above cut-offs for clinical symptomology and higher than Classes 1 and 2. Conclusion: This is the first evidence that distinct patterns of CLV severity among men intersect with GRC and SDOH and are uniquely associated with mental health.

Indexed as

Cumulative lifetime violenceGender role conflictLatent class analysisMenMental healthSocial determinants of health

Identifiers

PMID38644980
PMCPMC11031490

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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.