Evidence map›Paper›PMID 41594989›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Understanding Intimate Partner Violence Through Police Crime Data: Descriptive and Temporal Insights.

Charmayne Mary Lee Hughes

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Charmayne Mary Lee HughesAge-Appropriate Human-Machine Systems, Institute of Psychology and Ergonomics, Technische Universität Berlin, Fasanenstraße 1, 10623 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Police crime reports are a critical but often underutilized source of information for understanding intimate partner violence (IPV). They provide systematic, population-level data on when, where, and how IPV incidents occur, complementing surveys and clinical studies. This study provides a descriptive analysis of IPV crime reports in Los Angeles (January 2020-December 2023) and models temporal trends using Seasonal Autoregressive Integrated Moving Average (SARIMA). Results showed that a total of 74,776 IPV-related incidents were reported to the LAPD in the four-year period, averaging 51.22 incidents per day (SD = 10.84). Most incidents occurred in residential settings (71.9%), followed by public spaces (18.2%) and transportation settings (6.5%). Females accounted for the majority of incidents (77.35%) compared to males (22.65%), and Physical IPV was the most frequently reported subtype (77.0%). Of these Physical IPV reports, most incidents did not involve a weapon (83.82%), while the use of firearms, bladed weapons, blunt objects, and improvised implements was relatively uncommon. Temporal modeling using SARIMA indicated that month-to-month variation was dominated by stable seasonal and autoregressive dynamics, with no evidence of a distinct pandemic-specific shift in call volume. By integrating descriptive and temporal analyses, the study offers actionable insights for public health, law enforcement, and community organizations working to prevent and respond to IPV.

Indexed as

crime reportingdomestic violenceintimate partner violencepolice dataviolence

Identifiers

PMID41594989
PMCPMC12837536

What OpenQuestion holds

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LicenceCC BY
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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.