Volume 12, Issue 4 (November 2025)
Avicenna J Neuro Psycho Physiology 2025, 12(4): 229-236 |
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Ethics code: IR.IAU.AHVAZ.REC.1403.068
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Masoudnia N M, Rasouli N. Prediction of Marital Burnout in Women Experiencing Intimate Partner Violence: The Role of Differentiation of Self, Emotional Intelligence, and Sexual Function. Avicenna J Neuro Psycho Physiology 2025; 12 (4) :229-236
URL: http://ajnpp.umsha.ac.ir/article-1-550-en.html
URL: http://ajnpp.umsha.ac.ir/article-1-550-en.html
1- Department of Psychology, Ahv.C., Islamic Azad University, Ahvaz, Iran
2- Department of Psychology, Ahv.C., Islamic Azad University, Ahvaz, Iran ,rasolinarg@gmail.com
2- Department of Psychology, Ahv.C., Islamic Azad University, Ahvaz, Iran ,
Abstract: (25 Views)
Background and Objective: Marital burnout profoundly undermines the psychological well-being of women experiencing intimate partner violence (IPV). The development of accurate predictive models is essential to elucidate the mechanisms underlying this phenomenon. The present study aimed to predict marital burnout in IPV-exposed women using self-differentiation, emotional intelligence, and sexual function as predictors through an artificial neural network (ANN) approach.
Materials and Methods: This descriptive-correlational study was conducted in 2024 in Ahvaz, Iran. A sample of 115 women who had experienced IPV was recruited through convenience sampling. Data were collected using the following validated instruments: the Marital Burnout Measure, the Differentiation of Self Inventory, the Emotional Intelligence Appraisal, and the Sexual Satisfaction Scale. Data analysis included Pearson correlation coefficients, stepwise multiple regression, and ANN modeling in MATLAB.
Results: All predictor variables (self-differentiation, emotional intelligence, and sexual function) showed significant negative correlations with marital burnout (P<0.01). The ANN model exhibited markedly higher predictive performance than traditional linear regression. According to neural network-derived normalized importance values, sexual function emerged as the strongest predictor of marital burnout, followed by emotional intelligence and self-differentiation.
Conclusions: Employing a nonlinear computational approach, the findings highlight sexual dysfunction as the primary contributor to marital burnout among women exposed to IPV. These results underscore the critical need for clinical interventions targeting sexual health restoration and emotional regulation skills to alleviate marital distress and enhance psychological resilience in this vulnerable population.
Materials and Methods: This descriptive-correlational study was conducted in 2024 in Ahvaz, Iran. A sample of 115 women who had experienced IPV was recruited through convenience sampling. Data were collected using the following validated instruments: the Marital Burnout Measure, the Differentiation of Self Inventory, the Emotional Intelligence Appraisal, and the Sexual Satisfaction Scale. Data analysis included Pearson correlation coefficients, stepwise multiple regression, and ANN modeling in MATLAB.
Results: All predictor variables (self-differentiation, emotional intelligence, and sexual function) showed significant negative correlations with marital burnout (P<0.01). The ANN model exhibited markedly higher predictive performance than traditional linear regression. According to neural network-derived normalized importance values, sexual function emerged as the strongest predictor of marital burnout, followed by emotional intelligence and self-differentiation.
Conclusions: Employing a nonlinear computational approach, the findings highlight sexual dysfunction as the primary contributor to marital burnout among women exposed to IPV. These results underscore the critical need for clinical interventions targeting sexual health restoration and emotional regulation skills to alleviate marital distress and enhance psychological resilience in this vulnerable population.
Keywords: Intimate Partner Violence, Burnout, Psychological, Emotional Intelligence, Sexual Behavior
Article Type: Research Article |
Subject:
Sexual behavior
Received: 2025/11/23 | Accepted: 2026/02/20 | Published: 2025/11/23
Received: 2025/11/23 | Accepted: 2026/02/20 | Published: 2025/11/23
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