ArticleFrontiers in public health2022
Mental Health Conditions Among E-Learning Students During the COVID-19 Pandemic.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Short-Term Psychophysiological Effects of Immersive Versus Non-Immersive Relaxation in University Students: A Randomized Controlled Trial.Healthcare (Basel, Switzerland) · 2026Article
- Intelligent classification and prediction of students' mental health in online learning environments using boosting algorithm and LIWC features.Scientific reports · 2025Article
- Sudanese medical students' satisfaction with online learning and its association with their psychological distress: a cross-sectional study.BMC medical education · 2025Observational
- The attitudes of Syrian Private University Medical Students towards E-Learning during the COVID-19 pandemic: a cross-sectional study.BMC medical education · 2024Article
- A cross-sectional study of online learning during the COVID-19 pandemic: Student perceptions.Health science reports · 2024Article
- Videoconferencing During the COVID-19 Pandemic is Associated with Sleep Disruption in Young Adults.Nature and science of sleep · 2024Article
- Is Satisfaction with Online Learning Related to Depression, Anxiety, and Insomnia Symptoms? A Cross-Sectional Study on Medical Undergraduates in Romania.European journal of investigation in health, psychology and education · 2023Article
- The emergence of COVID-19 over-concern immediately after the cancelation of the measures adopted by the dynamic zero-COVID policy in China.Frontiers in public health · 2023Article
- Deterioration of Mental Health in Children and Adolescents During the COVID-19 Pandemic.Journal of the Korean Academy of Child and Adolescent Psychiatry · 2023Article
- Factors affecting academic performance of college students in China during COVID-19 pandemic: a cross-sectional analysis.Frontiers in psychology · 2023Article
- Telemedicine Interventions as an Attempt to Improve the Mental Health of Populations during the COVID-19 Pandemic-A Narrative Review.International journal of environmental research and public health · 2022Review
- Remote Interventions to Support Students' Psychological Well-Being during the COVID-19 Pandemic: A Narrative Review of Recent Approaches.International journal of environmental research and public health · 2022Review
- Online experimental research on the psychological capital development of new venture entrepreneur under the COVID-19 pneumonia epidemic.Frontiers in psychology · 2022Article
- High prevalence of anxiety, depression, and stress among remote learning students during the COVID-19 pandemic: Evidence from a meta-analysis.Frontiers in psychology · 2022Review
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Aim: The 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. Methods: The 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. Results: A 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. Conclusion: Universities should implement interventions and educational programmes, providing ad
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