Evidence map›Paper›PMID 40211250›Full record

ArticleBMC public health2025

Domestic violence and childhood trauma among married women using machine learning approach: a cross-sectional study.

Abbas Al Mutair, Chandni Saha, Layila Alhassan, Hawra Albahrani, Norah A Alkhamis, Hajar Al Sultan, Muhammad Daniyal, Alya Elgamri

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Abbas Al MutairResearch Center, Almoosa Health Group, Al-Ahsa, Saudi Arabia.
Chandni SahaResearch Center, Almoosa Health Group, Al-Ahsa, Saudi Arabia.
Layila AlhassanPatient Experience, Almoosa Specialist Hospital, Al-Ahsa, Saudi Arabia.
Hawra AlbahraniSocial Services, Almoosa Specialist Hospital, Al-Ahsa, Saudi Arabia.
Norah A AlkhamisPatient Experience Administration, King Saud Medical City, Riyadh, Saudi Arabia.
Hajar Al SultanEnglish and Language Department, College of Arts, King Faisal University, Hofuf, Al-Ahsa, Saudi Arabia.
Muhammad DaniyalResearch Center, Almoosa Specialist Hospital, Al-Ahsa, Saudi Arabia. muhammad.daniyal@almoosahealth.com.sa.
Alya ElgamriFaculty of Dentistry, University of Khartoum, Khartoum, Sudan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, 27% of ever-partnered women aged 15-49 have experienced physical, sexual, or intimate partner violence at least once in their lifetime. In Saudi Arabia, domestic violence (DV) remains a concern despite cultural and economic advancements. This study aims to measure the prevalence and factors associated with DV as well as childhood trauma (CT) in the Al Hasa region.

methodA cross-sectional study was conducted on 503 married women by using convenient sampling reporting DV and CT using two validated questionnaires, respectively. Descriptive statistics were used to analyze the numbers and percentages. Pearson's r correlation was applied to investigate the correlation between risk factors. The multilayer perceptron model has been applied to estimate the most important factors contributing to DV and CT.

resultsOut of 503 respondents, most of them had low experience of DV and childhood trauma, while the prevalence of DV was 4.86%, with controlling behavior of the intimate partner (6.09%) and psychological violence most commonly reported. CT was experienced by 18.90% of respondents, primarily emotional neglect (31.44). The median score of DV was 1.99 (0.81), and that of CT was 2.15(0.45). Among the DV subscales, the median score of psychological violence (2.00, IQR = 0.50) and controlling behavior (2.25 with IQR 0.50) was higher compared to physical and sexual violence, whereas the emotional neglect subscale mean score was the highest among the CT subscales, 2.50 (0.50). DV and childhood trauma were significantly associated with BMI ([Formula: see text] < 0.001) and education of women ([Formula: see text]< 0.001) respectively. The result of ML model showed that the influential predictors of DV and CT are physical violence and physical neglect respectively.

conclusionThe present study revealed a positive correlation between CT and DV. Women who experienced emotional neglect or abuse during childhood were more likely to report controlling behaviors and psychological violence in their relationships. CT was reported more frequently than DV and women with higher education levels reported greater childhood trauma. Even with low prevalence, such sensitive subjects must not be discredited. Saudi women should embrace education, employment, and awareness of their rights with the rapid societal change, marking a new beginning for women's empowerment and safety.

Indexed as

Adult Survivors of Child AbuseAdverse Childhood ExperiencesDomestic ViolenceMachine LearningAdolescentAdultCross-Sectional StudiesFemaleHumansMiddle AgedPrevalenceRisk FactorsSaudi ArabiaSurveys and QuestionnairesYoung AdultChildhood traumaDomestic violenceIntimate partner violenceWomen empowermentWomen rights

Identifiers

PMID40211250
PMCPMC11984275

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LicenceCC BY-NC-ND
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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.