Evidence map›Paper›PMID 41291713›Full record

ArticleBMC women's health2025

Experience of intimate-partner controlling behaviours among women in Ghana: a novel three step latent class analysis approach with survey-weighted fractional-logit regression.

Justice Moses K Aheto, Patience Otobia Wellington, Irene Kafui Vorsah Amponsah

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Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Justice Moses K AhetoDepartment of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana.
Patience Otobia WellingtonDepartment of Biostatistics, School of Public Health, College of Health Sciences, University of Ghana, Accra, Ghana. patienceotobia23@gmail.com.
Irene Kafui Vorsah AmponsahDepartment of Statistics, School of Physical Sciences, College of Agriculture and Natural Sciences, University of Cape Coast, Cape Coast, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntimate partner controlling behavior manifesting as jealousy, accusations of infidelity, social restrictions, and monitoring, undermines women's autonomy, well-being, and poses a critical public health issue, yet its heterogeneity remains underexplored in Ghana.

objectiveTo identify distinct classes of controlling behaviors among Ghanaian women and to examine how key sociodemographic factors predict membership in each class.

methodsWe analyzed data from 5,137 ever-married women in the 2022 Ghana Demographic and Health Survey's domestic-violence module. Five binary indicators of partner control (jealousy, accusations of unfaithfulness, social isolation, family contact restrictions, and whereabouts monitoring) were subjected to latent class analysis (LCA) using unweighted generalized structural equation modeling. Model fit was compared across 2-4 class solutions using the Bayesian Information Criterion (BIC), with a four-class model selected. We then computed each woman's posterior class-membership probabilities and regressed these fractional outcomes on age, education, residence, region, religion, ethnicity, wealth, media exposure, partner education, partner alcohol use, and employment status via survey-weighted fractional-logit generalized linear model.

resultsFour distinct classes emerged: (1) Minimal Monitoring (59.2%) (2), Multi-Domain Surveillance (11.2%) (3), Jealousy and Location Monitoring (22.2%), and (4) Pervasive High-Severity Control (7.4%). Younger age (20-34 years) and partner alcohol use were strongly associated with higher probabilities of membership in Classes 2-4, while secondary or higher education conferred protection, especially against Class 4 (adjusted odds ratio 0.42; 95% CI 0.21-0.83). Regional disparities were also evident, with women in the northern and Savannah regions facing two- to six-fold greater odds of severe control.

conclusionsPartner controlling behaviors in Ghana are heterogeneous and disproportionately affect young, less-educated women and those with alcohol-consuming partners. Interventions should include early recognition of controlling acts, empowerment through education, and community dialogue to challenge patriarchal norms. Addressing these patterns may prevent escalation to physical and sexual IPV and reduce the substantial public health burden of coercive control.

Indexed as

Intimate Partner ViolenceSexual PartnersAdolescentAdultFemaleGhanaHealth SurveysHumansLatent Class AnalysisMiddle AgedSociodemographic FactorsSocioeconomic FactorsSurveys and QuestionnairesYoung AdultDemographic and Health Survey (DHS)GhanaIntimate partner violence (IPV)Latent class analysis (LCA)Psychological abuseSociodemographic predictorsSub-Saharan Africa (SSA)Vermunt ML correctionWomen’s autonomy

Identifiers

PMID41291713
PMCPMC12649084

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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.