Predicting Mental Health Based on Social Competence and Resilience in Divorced Individuals: The Moderating Roles of Gender and Remarriage
Keywords:
mental health, social competence, resilience, divorce, gender, remarriageAbstract
Purpose: This study aimed to predict mental health based on social competence and resilience among divorced individuals and to examine the moderating roles of gender and remarriage status in these relationships.
Methods and Materials: The present applied study employed a descriptive-correlational design. The statistical population consisted of divorced men and women residing in Shiraz, Iran, and the final sample included 200 participants selected through convenience sampling from psychological and counseling centers and welfare service centers. Data were collected using the Connor–Davidson Resilience Scale, the Social Competence Questionnaire based on Felner’s model, and the 14-item Mental Health Continuum–Short Form. Data were analyzed using Pearson correlation coefficients, independent-samples t tests, multiple regression analysis, and subgroup regression analyses according to gender and remarriage status. Statistical significance was set at p < .05.
Findings: Mental health was positively and significantly correlated with behavioral skills (r = .740, p < .01), cognitive skills (r = .662, p < .01), emotional competence (r = .542, p < .01), and resilience (r = .611, p < .01). Social competence and resilience jointly explained 62.3% of the variance in mental health (R = .789, R² = .623, p < .001), with social competence (β = .601, p < .001) and resilience (β = .278, p < .001) both contributing significantly. Behavioral skills (β = .496, p < .001) and cognitive skills (β = .341, p < .001) significantly predicted mental health. Men reported significantly higher mental health than women, t(198) = -3.098, p = .002, and remarried participants reported significantly higher mental health than non-remarried participants, t(198) = 3.122, p = .002. Subgroup analyses showed significant positive predictive relationships for both social competence and resilience across gender and remarriage-status groups.
Conclusion: Social competence and resilience are important positive predictors of mental health among divorced individuals, while gender and remarriage status are associated with differences in mental health and in the strength of these predictive relationships. Strengthening interpersonal competence and resilience may therefore be useful in psychological and counseling interventions designed for divorced populations.
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References
Amato, P. R. (2000). The consequences of divorce for adults and children. Journal of marriage and family, 62(4), 1269-1287. https://doi.org/10.1111/j.1741-3737.2000.01269.x
Crick, N. R., & Dodge, K. A. (1994). A review and reformulation of social information-processing mechanisms in children's social adjustment. Psychological bulletin, 115(1), 74-101. https://doi.org/10.1037/0033-2909.115.1.74
Dicataldo, R., Valenti, A., & Farina, E. (2023). Assessing social competence in educational contexts: A systematic review of observational tools. Education Sciences, 13(7), 651. https://doi.org/10.3390/educsci13070651
Elshahed, E. A., & Gamal, S. (2026). Life stresses and their relationship to social competence of divorced women. Egyptian Journal of Social Work, 22(1), 79-100. https://doi.org/10.21608/ejsw.2026.482519.1262
Ganong, L. H., & Coleman, M. (2004). Stepfamily relationships: Development, dynamics, and interventions. Springer Publishing Company. https://doi.org/10.1007/978-1-4419-9112-6
Gautam, S., Jain, A., Chaudhary, J., Gautam, M., Gaur, M., & Grover, S. (2024). Concept of mental health and mental well-being, its determinants and coping strategies. Indian Journal of Psychiatry, 66(Suppl 2), S231-S244. https://doi.org/10.4103/indianjpsychiatry.indianjpsychiatry_707_23
Guzmán-González, M., Gómez, F., Lafontaine, M. F., & Tay-Karapas, K. (2025). Profiles of psychological adjustment to divorce and separation: Associations with attachment insecurity, forgiveness of the former partner, and emotion regulation difficulties. Journal of marital and family therapy, 51(3), e70055. https://doi.org/10.1111/jmft.70055
Hanımoğlu, E. (2025). Life satisfaction in emerging adulthood: A longitudinal study of social support, resilience, and gender differences. Frontiers in psychology, 16, 1602140. https://doi.org/10.3389/fpsyg.2025.1602140
Izadi, M., Tahmourcsi, N., Hosenzadetaghvai, M., Saffarinia, M., & Sobhi Gharamaleki, N. (2025). Structural model of psychological flexibility in divorced women: The mediating role of social well-being in the relationship between family intimacy and social adjustment. Social Psychology.
Jacob, U. S., Edozie, I. S., & Pillay, J. (2022). Strategies for enhancing social skills of individuals with intellectual disability: A systematic review. Frontiers in Rehabilitation Sciences, 3, 968314. https://doi.org/10.3389/fresc.2022.968314
Masten, A. S. (2007). Ordinary magic: Resilience processes in development. American psychologist, 56, 227-238. https://doi.org/10.1037/0003-066X.56.3.227
Ottakkam Thodukayil, F. S., Palaniswamy, U., & Kunjumon, A. (2026). The causes of divorce and its effects on women: A systematic review. Marriage & Family Review, 62(2), 59-94. https://doi.org/10.1080/01494929.2025.2484781
Santos, C., Costa, M. E., Pedro, J., Higginbotham, B. J., & Martins, M. V. (2024). Marital adjustment in remarriage: A systematic review. Family Transitions, 65(4), 291-322. https://doi.org/10.1080/28375300.2024.2355001
Tl, A., Saranya, T. S., & Gupta, S. K. (2025). The lived experience of divorce: A narrative analysis of personal stories and identity reconstruction of women. Frontiers in Sociology, 10, 1617489. https://doi.org/10.3389/fsoc.2025.1617489
Walsh, F. (2003). Family resilience: A framework for clinical practice. Family Process, 42(1), 1-18. https://doi.org/10.1111/j.1545-5300.2003.00001.x
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