Latent Profile and Network Analysis of School Attendance Problems in Adolescents: An Evaluation in Terms of Mental Health Issues, Academic Achievement, and School Dropout


ÇİMEN F., SEÇER İ., Ay E.

SCHOOL MENTAL HEALTH, 2025 (SSCI, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s12310-025-09824-4
  • Dergi Adı: SCHOOL MENTAL HEALTH
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Education Abstracts, ERIC (Education Resources Information Center), Psycinfo
  • Atatürk Üniversitesi Adresli: Evet

Özet

This study sets out to identify adolescents' school attendance problems (SAPs) profiles using multiple indicators and to examine how these profiles differ in relation to depression, stress, anxiety, academic achievement, and school dropout through network analysis of symptom interactions. In this context, data collected from 1611 adolescents (955 female, 656 male) were analyzed using latent profile analysis (LPA) to determine SAPs profiles. The findings from LPA revealed that SAPs reasons among adolescents could be categorized into four distinct profiles (Non-SAPs, SAPs with high somatic symptoms and health complaints, SAPs with high school absenteeism-related reasons, Combined-SAPs). A multinomial logistic regression analysis was conducted to examine whether these SAPs profiles differed based on various identified variables, demonstrating significant associations between SAPs profiles, depression, anxiety, stress, academic achievement, and school dropout. Furthermore, a network analysis was performed to explore how variables related to depression, stress, anxiety, academic achievement, and school dropout interact within different SAPs profiles. The analysis identified stress as the most central node across all profile networks, while school dropout emerged as the node with the highest connectivity across network structures. To assess whether the network structures differed significantly, a network comparison test was conducted, revealing no significant differences between the networks. The findings of the study revealed that SAPs have a heterogeneous structure. In addition, stress was found to play a critical role in the relationship between SAPs and mental health problems, while school dropout had a significant effect on academic achievement. These results suggest that interventions aimed at reducing stress and preventing school dropout may help decrease dropout rates and enhance academic achievement among students with different SAPs profiles. Future research is recommended to take into account the heterogeneous nature of SAPs in order to develop more targeted prevention and intervention strategies.