Evidence map›Paper›PMID 42823714›Full record

ArticleBMC women's health2026

Determinants of intimate partner violence among women of reproductive age: a cross-sectional study in Türkiye.

Nigar Çelik, Rahime Aslan

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Article in BMC women's health, 2026. 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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5 · Who and what money

Authors and funding

2 authors.

Nigar ÇelikDepartment of Obstetrics and Gynecology Nursing, Faculty of Health Sciences, Kutahya Health Sciences University, Kutahya, 43100, Turkey. nigar.celik@ksbu.edu.tr.ORCID http://orcid.org/0000-0003-4126-0362
Rahime AslanDepartment of Mental Health Nursing, Faculty of Health Sciences, Kutahya Health Sciences University, Kutahya, 43100, Turkey.ORCID http://orcid.org/0000-0002-8301-4656

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntimate partner violence (IPV) is a major global public health issue that adversely affects women's physical, psychosocial, and reproductive health. Although individual characteristics have been widely studied, relational dynamics and intergenerational experiences of violence remain less explored, particularly in the Turkish context. Examining these factors together may contribute to a more comprehensive understanding of IPV and inform prevention strategies.

aimThis study aimed to examine IPV exposure among women of reproductive age in Türkiye and to identify sociodemographic, partner-related, and relational factors associated with such exposure.

methodsA descriptive, cross-sectional study was conducted between 15 November 2024 and 15 January 2025 with 453 women aged 18-49 years who had a current partner. Participants were recruited through snowball sampling via five social media platforms. Data were collected using a researcher-developed online questionnaire comprising sociodemographic and partner-related characteristics and a single-item measure of exposure to IPV. Statistical analyses included the chi-square test, the Mann-Whitney U test, and Firth penalized logistic regression to address sparse-data bias and quasi-complete separation. Multicollinearity was assessed using variance inflation factors. Internal validation was performed using bootstrap optimism correction (B = 500) and 10-fold cross-validation repeated 10 times. Statistical significance was set at p < .05.

resultsOverall, 11.3% of participants reported IPV exposure. Firth penalized logistic regression showed that witnessing the partner's violent behavior toward others (OR = 94.42; 95% CI: 6.06-1471.46), low relationship satisfaction (OR = 24.71; 95% CI: 4.43-137.92), a history of family violence (OR = 15.48; 95% CI: 5.21-46.02), lower income relative to expenses (OR = 19.12; 95% CI: 4.93-74.14), and increasing age (OR = 1.27 per year; 95% CI: 1.17-1.38) were independently associated with IPV exposure. The model yielded a Nagelkerke R² of 0.746 and an optimism-corrected AUC of 0.966. Given the limited number of IPV events and the wide confidence intervals for several estimates, the magnitude of the observed associations should be interpreted cautiously.

conclusionsIPV exposure in this study was associated with individual, relational, socioeconomic, and prior violence-related characteristics. The observed associations are consistent with a multilevel understanding of IPV and highlight the relevance of considering relational and family experiences alongside individual and socioeconomic characteristics in IPV prevention and assessment.

Indexed as

Intimate Partner ViolenceAdolescentAdultCross-Sectional StudiesFemaleHumansMiddle AgedRisk FactorsSexual PartnersSociodemographic FactorsSocioeconomic FactorsSurveys and QuestionnairesTurkeyYoung AdultAssociated factorsDomestic violenceIntimate partner violenceTürkiyeWomen of reproductive ageWomen's health

Identifiers

PMID42823714
PMCPMC13628963

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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.