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

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...

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Autores principales: Carranza Esteban, Renzo Felipe, Mamani Benito, Oscar Javier, Morales Garcia, Wilter Charming, Caycho-Rodríguez, Tomás, Ruiz Mamani, Percy German
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Publicado: Elsevier Ltd 2022
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author Carranza Esteban, Renzo Felipe
Mamani Benito, Oscar Javier
Morales Garcia, Wilter Charming
Caycho-Rodríguez, Tomás
Ruiz Mamani, Percy German
author_browse Carranza Esteban, Renzo Felipe
Caycho-Rodríguez, Tomás
Mamani Benito, Oscar Javier
Morales Garcia, Wilter Charming
Ruiz Mamani, Percy German
author_facet Carranza Esteban, Renzo Felipe
Mamani Benito, Oscar Javier
Morales Garcia, Wilter Charming
Caycho-Rodríguez, Tomás
Ruiz Mamani, Percy German
author_sort Carranza Esteban, Renzo Felipe
collection Producción científica
description 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 (X2 = 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.
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spelling oai:cris.upeu.edu.pe:20.500.15037/30742026-10-30T16:58:33ZAcademic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19Carranza Esteban, Renzo FelipeMamani Benito, Oscar JavierMorales Garcia, Wilter CharmingCaycho-Rodríguez, TomásRuiz Mamani, Percy GermanDepressionCollege StudentsSelf-esteemEmotional ExhaustionAcademic Self-efficacyCovid-19The 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 (X2 = 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.Article10.1016/j.heliyon.2022.e110852-s2.0-85141688881https://hdl.handle.net/20.500.15037/3074enHeliyonHeliyon2405-8440Elsevier Ltd2022-10-202026-06-27T02:35:42Z2026-06-27T02:35:42Z
spellingShingle Depression
College Students
Self-esteem
Emotional Exhaustion
Academic Self-efficacy
Covid-19
Carranza Esteban, Renzo Felipe
Mamani Benito, Oscar Javier
Morales Garcia, Wilter Charming
Caycho-Rodríguez, Tomás
Ruiz Mamani, Percy German
Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
title Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
title_full Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
title_fullStr Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
title_full_unstemmed Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
title_short Academic self-efficacy, self-esteem, satisfaction with studies, and virtual media use as depression and emotional exhaustion predictors among college students during COVID-19
title_sort academic self efficacy self esteem satisfaction with studies and virtual media use as depression and emotional exhaustion predictors among college students during covid 19
topic Depression
College Students
Self-esteem
Emotional Exhaustion
Academic Self-efficacy
Covid-19
topic_facet Depression
College Students
Self-esteem
Emotional Exhaustion
Academic Self-efficacy
Covid-19
url https://hdl.handle.net/20.500.15037/3074
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