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Systematic Literature Review: The Impact of Divorce on Children's Mental Health Wasono, Andy; Mulawarman, Mulawarman; Mulyani, Petra Kristi; Kumalasari, Erny; Mubarak, Muh. Azhar; Arinanta, Firdian Setiya; Salafudin, Moh. Anwar
Anterior Jurnal Vol. 24 No. 2 (2025): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/anterior.v24i2.9048

Abstract

The increase in divorce cases has raised concerns about the psychological well-being of affected children, with the risk of anxiety, depression, and behavioral disorders. The purpose of this writing is to find out the impact of divorce on children's mental health. The method used is a systematic literature review using databases from PubMed and ScienceDirect. The search was carried out using the keywords children, divorce, marital dissolution, mental health. Article screening used the PRISMA method and 8 articles were found that were in accordance with the research topic. The results showed that divorce increased the risk of mental problems such as anxiety, depression, behavioral problems, and decreased academic performance. In addition, children from divorced families face a higher risk of mental disorders. High parental conflict exacerbates negative effects, while good social and emotional support can reduce those adverse effects. This study highlights the importance of paying special attention to the mental well-being of children post-divorce to prevent adverse long-term effects. It is hoped that the results of this study can deepen the understanding of the impact of divorce and help develop support strategies for children who have experienced parental divorce, in order to reduce the risk of long-term mental health disorders. Keywords: Children, Divorce, Marital Dissolution, Mental Health
Employability Skills and Career Readiness Among Muslim Vocational Students: Mediating Role of Career Decision-Making Self-Efficacy Wulandari, Wenny; Sahin, Arif; Rahmawan, Wise; Fathurrahman, Farouq; Mubarak, Muh. Azhar; Putri, Wiffy Zalina
Pamomong: Journal of Islamic Educational Counseling Vol. 7 No. 1 (2026): Inpress
Publisher : State Islamic University (UIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/pamomong.v7i1.6336

Abstract

Rapid changes in the labour market require vocational students to develop career readiness supported by employability skills and psychological resources for career decision-making. This study tested the direct and indirect effects of employability skills on career readiness via career decision-making self-efficacy (CDMSE) among Grade-12 Muslim vocational students. Using a cross-sectional design, all students at SMK Multicomp Depok, Indonesia (N = 215) were surveyed using saturated sampling, with Muslim status verified through school records. Adapted measures were used: the Self-Perceived Employability Scale (α = .96), the Career Decision-Making Self-Efficacy Scale (α = .95), and the Student Career Readiness Scale (α = .98). Mediation was examined using PROCESS Macro for SPSS (Model 4) with bootstrap resampling. Employability skills significantly predicted CDMSE (b = 1.21, SE = .12, t = 10.22, p < .01; R² = .33) and career readiness (direct effect controlling for CDMSE: b = .66, SE = .11, t = 6.09, p < .01). CDMSE also significantly predicted career readiness (b = .42, SE = .05, t = 8.13, p < .01; model R² = .53). The indirect effect of employability skills on career readiness via CDMSE was significant (b = .51, SE = .09, 95% BC CI [.35, .70]), indicating partial mediation. The findings support Social Cognitive Career Theory and suggest that guidance and counseling programs should integrate employability development with interventions that strengthen decision-making self-efficacy. Limitations include the cross-sectional design, self-report measures, and a single-school sample; future research should use longitudinal designs and broader settings to improve generalizability.