Mental Health Conditions Among E-Learning Students During the COVID-19 Pandemic

AimThe COVID-19 pandemic has forced the education system to undergo changes, which have also affected universities. E-learning became the main form of education, reducing interpersonal contacts, which could affect the mental wellbeing of students. The aim of this study was to investigate the prevale...

Полное описание

Сохранить в:
Библиографические подробности
Главные авторы: Anna Rutkowska (Автор), Błazej Cieślik (Автор), Agata Tomaszczyk (Автор), Joanna Szczepańska-Gieracha (Автор)
Формат:
Опубликовано: Frontiers Media S.A., 2022-05-01T00:00:00Z.
Предметы:
Online-ссылка:Connect to this object online.
Метки: Добавить метку
Нет меток, Требуется 1-ая метка записи!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_2d28f37c5d984dd5b3f9d0794c7031d2
042 |a dc 
100 1 0 |a Anna Rutkowska  |e author 
700 1 0 |a Błazej Cieślik  |e author 
700 1 0 |a Agata Tomaszczyk  |e author 
700 1 0 |a Joanna Szczepańska-Gieracha  |e author 
245 0 0 |a Mental Health Conditions Among E-Learning Students During the COVID-19 Pandemic 
260 |b Frontiers Media S.A.,   |c 2022-05-01T00:00:00Z. 
500 |a 2296-2565 
500 |a 10.3389/fpubh.2022.871934 
520 |a AimThe COVID-19 pandemic has forced the education system to undergo changes, which have also affected universities. E-learning became the main form of education, reducing interpersonal contacts, which could affect the mental wellbeing of students. The aim of this study was to investigate the prevalence of depressive symptoms and the level of perceived stress during e-learning among Polish students and to identify the factors for predicting higher levels of depression symptoms.MethodsThe study included 753 participants with a mean age of 22.47 (±4.02) years. The Perception of Stress Questionnaire (PSQ) and Beck Depression Inventory (BDI-II) were used to measure the severity of stress and level of depression. Furthermore, our own survey was used to assess the impact of e-learning on various aspects of life. To examine how much stress can explain a statistically significant amount of variance in depression, three-step hierarchical multiple regression was used. In addition, our own questionnaire was used to assess the impact of e-learning on education, social contacts and technical abilities.ResultsA total of 58% of the students characterized by an increased level of stress. 56% show symptoms of depression and 18% of the participants had suicidal thoughts. The most significant predictor of depression is high stress levels and factors related to e-learning: isolation from friends and acquaintances, negative impact on level of knowledge, reduced motivation to learn, and worsening grades. This predictors may explain about 66% of the variance of depression.ConclusionUniversities should implement interventions and educational programmes, providing ad hoc assistance in the form of individual or group meetings with a psychologist (also in a remote form) and organizing workshops and webinars on strategies for managing stress. 
546 |a EN 
690 |a COVID-19 
690 |a mental health 
690 |a depression 
690 |a anxiety 
690 |a e-learning 
690 |a Poland 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Frontiers in Public Health, Vol 10 (2022) 
787 0 |n https://www.frontiersin.org/articles/10.3389/fpubh.2022.871934/full 
787 0 |n https://doaj.org/toc/2296-2565 
856 4 1 |u https://doaj.org/article/2d28f37c5d984dd5b3f9d0794c7031d2  |z Connect to this object online.