MODELLING THE DETERMINANTS AND FORMS OF DOMESTIC VIOLENCE AGAINST PREGNANT WOMEN: A MULTINOMIAL LOGISTIC REGRESSION APPROACH TO CATEGORICAL DATA ANALYSIS
Abstract
This study applies a Multinomial Logistic Regression (MLR) framework to model unordered categorical outcomes in public health research, to examine forms of domestic violence experienced during pregnancy. MLR was selected for its capacity to estimate the probability of multiple, non-ordinal outcome categories such as emotional, physical, and sexual violence relative to a set of predictor variables (Agresti, 2018; Hosmer, Lemeshow, & Sturdivant, 2013). Using cross-sectional data from 499 pregnant women attending antenatal care, the model assessed the influence of maternal education, employment status, partner substance use, and mental health history on the likelihood of experiencing each form of violence. MLR results revealed that emotional violence was the most prevalent, followed by physical and sexual violence. The study demonstrates the effectiveness of MLR in disentangling complex, non-binary health outcomes and highlights the pressing need for integrated psycho-social screening and context-specific intervention strategies within maternal health programs (World Health Organization [WHO], 2013; Campbell, 2002). It also supports policy development aimed at addressing the socio-behavioral risk factors that heighten women's vulnerability to domestic violence during pregnancy (Barnett et al., 2011; Bandura, 1977).
Keywords:
Multinomial Logistic Regression, Domestic Violence During Pregnancy, Public Health Modeling, Socio-behavioral Risk Factors, Maternal Health InterventionsDownloads
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Copyright (c) 2025 Gongden M.S, Nweze N.O, Bilkisu M. , Abdulahi Abubakar
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Agresti, A. (2018). Statistical methods for the social sciences (5th ed.). Pearson.
Ashimi, A., & Amole, T. (2015). Prevalence and predictors for domestic violence among pregnant women in a rural community, Northwest Nigeria. Nigerian Medical Journal, 56(2), 118. https://doi.org/10.4103/0300-1652.150696
Bandura, A. (1977). Social learning theory. Prentice-Hall.
Barnett, O. W., Miller-Perrin, C. L., & Perrin, R. D. (2011). Family violence across the lifespan: An introduction (3rd ed.). Sage.
Bashir, A., & Bello, M. (2020). Prevalence and determinants of domestic violence among pregnant women in Northwestern Nigeria. Journal of Public Health in Africa, 11(1), Article 1092.
Bronfenbrenner, U. (1979). The ecology of human development. Harvard University Press.
Campbell, J. C. (2002). Health consequences of intimate partner violence. The Lancet, 359(9314), 1331–1336. https://doi.org/10.1016/S0140-6736 (02)08336-8
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression (3rd ed.). Wiley.
Iliyasu, Z., Abubakar, I. S., Galadanci, H. S., & Aliyu, M. H. (2013). Intimate partner violence among pregnant women in Kano, Northern Nigeria. Journal of Interpersonal Violence, 28(4), 812–827. https://doi.org/10.1177/0886260512455861
Long, J. S., & Freese, J. (2006). Regression models for categorical dependent variables using Stata (2nd ed.). Stata Press.
McCullagh, P., & Nelder, J. A. (1989). Generalized linear models (2nd ed.). Chapman & Hall.
Rabin, R. F., Jennings, J. M., Campbell, J. C., & Bair-Merritt, M. H. (2009). Intimate partner violence screening tools: A systematic review. American Journal of Preventive Medicine, 36(5), 374–385. https://doi.org/10.1016/j.amepre.2009.01.024
Saha, S. (2011). Binary logistic regression model for analysing school examination results. International Journal of Statistics and Systems, 6(2), 147–156.
Seligman, M. E. P. (1975). Helplessness: On depression, development, and death. Freeman.
Stark, E. (2016). Coercive control. Oxford University Press. https://doi.org/10.1093/oso/9780197639986.001.0001
Tjaden, P., Thoennes, N., & Centers for Disease Control and Prevention. (2000). Extent, nature, and consequences of intimate partner violence. National Institute of Justice.
World Health Organization. (2013). Global and regional estimates of violence against women: Prevalence and health effects of intimate partner violence and non-partner sexual violence. WHO Press.
