Journal of Isfahan Medical School

Journal of Isfahan Medical School

Multilayer perceptron modeling for anxiety and aggression prediction based on moral intelligence, attachment and maternal caregiving quality in pre-school children

Document Type : Original Article (s)

Authors
Samin Baharshanjani 1
Zeinab Razmzan 2
Tahereh Mohammadi 3
Hojjatollah Farahani 4
1 PhD Student of Psychology, Department of Psychology, Faculty of Humanities, Tarbiat Modares University, Tehran. Iran
2 PhD Student of Clinical Psychology, Department of Clinical Psychology, School of Behavioral Sciences and Mental Health (Tehran Institute of Psychiatry), Iran University of Medical Sciences, Tehran, Iran
3 MSc of Child and Young Clinical Psychology, Department of Clinical Psychology, Faculty of Education and Psychology, Shahid Beheshti University, Tehran, Iran
4 Assistant Professor, Psychology Department, Faculty of Humanities, Tarbiat Modares Univeersity, Tehran, Iran
10.48305/jims.v43.i847.1943
Abstract
Background: In 2023, a study aimed to examine the factors influencing anxiety and aggression in preschool children (ages 3-6). The research focused on predicting these disorders based on family emotional environment factors (maternal care quality) and the child’s psychological status (moral intelligence and attachment quality).
Methods: The study involved 141 mothers over a four-month period. Data were collected through questionnaires on anxiety, aggression, attachment, moral intelligence, and maternal care quality. The data were analyzed using a Multilayer Perceptron (MLP) neural network model and SPSS version 27 software.
Findings: The results showed that self-control, positive adaptability, and caregiver availability had the highest impact on predicting anxiety and aggression. Justice, patience, and tolerance were also significant factors in reducing aggression. In contrast, negative behaviors and respect had less influence on anxiety. The model demonstrated good efficiency in predicting these disorders.
Conclusion: The findings emphasize the importance of targeted interventions to reduce emotional-social challenges in children and highlight the role of family and emotional environment factors in preventing these disorders. Additionally, the study demonstrated the effectiveness of the MLP model in mental health research, offering insights for improving the prediction of psychological disorders.

Highlights

Samin Baharshanjani: Google Scholar

Hojjatollah Farahani: Google Scholar, PubMed

Keywords
Multilayer Perceptron
Artificial Neural Networks
Moral Intelligence
Attachment
Maternal Caregiving Quality

Subjects

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Journal of Isfahan Medical School
Volume 43, Issue 847
3rd Week, March
March and April 2026
Pages 1943-1954

  • Receive Date 23 September 2024
  • Accept Date 16 February 2025