Back to Search Start Over

Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19.

Authors :
Carranza Esteban RF
Mamani-Benito O
Morales-García WC
Caycho-Rodríguez T
Ruiz Mamani PG
Source :
Heliyon [Heliyon] 2022 Nov; Vol. 8 (11), pp. e11085. Date of Electronic Publication: 2022 Oct 20.
Publication Year :
2022

Abstract

The aim of the study was to explore the relationship between depression, emotional exhaustion, self-esteem, satisfaction with studies, academic self-efficacy, and the use of virtual media in Peruvian university students during the coronavirus disease 2019 (COVID-19) pandemic. A total of 569 college students (61.9% female), with a mean age of 21.73 years (standard deviation = 4.95), responded to the following questionnaires: Academic Self-Efficacy Scale, Single Item Self-Esteem Scale, Brief Scale of Satisfaction with Studies, Scale of Use of Virtual Media, Patient Health Questionnarie-2, and Single Item of Academic Emotional Exhaustion. Correlation statistics, regression models, and structural equation modeling (SEM) were used for data analysis. The results demonstrated a direct and significant correlation between virtual media use, academic self-efficacy, self-esteem, depression, and emotional exhaustion ( p < .01). In addition, satisfaction with studies (β = -0.13), academic self-efficacy (β = -0.19), self-esteem (β = -0.14), and emotional exhaustion (β = 0.19) predicted depression significantly, whereas virtual media use (β = 0.17), study satisfaction (β = 0.09), and depression (β = 0.20) predicted emotional exhaustion associated with academics. The SEM model indicated that self-esteem, satisfaction with studies, and academic self-efficacy negatively predict depression, whereas academic self-efficacy positively predicts virtual media use. Finally, both virtual media use and depression positively predict emotional exhaustion. This model presents optimal goodness-of-fit indices (X <superscript>2</superscript> = 8.926, df = 6, p = .178; comparative fit = .991, Tucker-Lewis = .979, root mean square error of approximation = .029 [confidence interval 90% = .000-.067], standardized root mean square residual = .022). Thus, academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use predict depression and emotional exhaustion among college students during the COVID-19 pandemic.<br />Competing Interests: The authors declare no conflict of interest.<br /> (© 2022 Published by Elsevier Ltd.)

Details

Language :
English
ISSN :
2405-8440
Volume :
8
Issue :
11
Database :
MEDLINE
Journal :
Heliyon
Publication Type :
Academic Journal
Accession number :
36281229
Full Text :
https://doi.org/10.1016/j.heliyon.2022.e11085