Research Article

Sleep Disorders and Student Passion: A Confirmatory Factor Analysis and Structural Equation Modeling Approach

78 reads
Psych Educ Multidisc J, 2026, 53 (2), 87-126, doi: 10.70838/pemj.530201, ISSN 2822-4353

Abstract

This study examined the levels of sleep disorders and their influence on student passion among medical students in higher education institutions. It specifically assessed insomnia, excessive daytime sleepiness, substance-related sleep disturbances, and sleep-disordered breathing, as well as harmonious and obsessive passion. A predictive correlation using structural equation modeling and factor analysis research design was utilized, with Slovin’s formula determining the sample of medical students from three medical schools in Misamis Oriental, Lanao, and Davao. Data were collected using standardized and researcher-made questionnaires and analyzed through descriptive statistics, Pearson correlation, linear regression, Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM). Results showed varying levels of insomnia, daytime sleepiness, substance-related disturbances, and sleep-disordered breathing, alongside moderate levels of both forms of passion. Significant correlations emerged between sleep disorder dimensions and student passion, with sleep-disordered breathing identified as the strongest predictor of motivational orientation. CFA supported the validity of the four-factor sleep disorder model, and SEM demonstrated the pathways linking sleep conditions to harmonious and obsessive passion. Overall, the study concludes that sleep disorders adversely influence engagement, cognitive functioning, and academic drive. These findings highlight the need for comprehensive sleep health programs and targeted interventions to support medical students’ well-being and academic performance.

Keywords: insomnia, passion, excessive daytime sleepiness, sleep disordered breathing, substance affecting sleep

Blockchain Confirmation

Loading...
If you want to upload this article to SciMatic Hybrid Blockchain, install MetaMask extension to your web browser, create a wallet and buy SCI coins at SciMatic using credit or contact your country coordinator.
One article costs 10 SCI coins to be in the Blockchain. Buy SCI Coins

Bibliographic Information

Simon Cheysser Layno, Nenita Prado, (2026). Sleep Disorders and Student Passion: A Confirmatory Factor Analysis and Structural Equation Modeling Approach, Psychology and Education: A Multidisciplinary Journal, 53(2): 87-126
Bibtex Citation
@article{simon_cheysser_layno2026pemj,
author = {Simon Cheysser Layno and Nenita Prado},
title = {Sleep Disorders and Student Passion: A Confirmatory Factor Analysis and Structural Equation Modeling Approach},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2026},
volume = {53},
number = {2},
pages = {87-126},
doi = {10.70838/pemj.530201},
url = {https://scimatic.org/show_manuscript/7329}
}
APA Citation
Layno, S.C., Prado, N., (2026). Sleep Disorders and Student Passion: A Confirmatory Factor Analysis and Structural Equation Modeling Approach. Psychology and Education: A Multidisciplinary Journal, 53(2), 87-126. https://doi.org/10.70838/pemj.530201

Author Information

  • To change your profile photo, login to scimatic.org, go to your profile and change the photo.
  • Provide a face photo, and not full body.
  • It is better to remove the background from your photo. Go to Remove Background and then upload to profile
  • If you are unable to login, go to Reset My Password provide your email registered with the article and get new password.
  • In case of any other problem, contact your editor directly or write to us at info @ scimatic.org