• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

HSE Researchers Offer Guidance to Prevent Undergraduate Burnout

HSE Researchers Offer Guidance to Prevent Undergraduate Burnout

© iStock

Researchers at the HSE Institute of Education have identified how much time students should ideally devote to their studies, extracurricular activities, and personal life to maintain strong academic performance without compromising their mental health. An analysis of responses from 2,753 students, combined with their actual academic results, revealed several risk factors—such as excessive homework—as well as positive factors, including sufficient sleep, regular exercise, and moderate participation in projects. Based on these findings, the researchers developed practical recommendations for both students and universities. The paper has been published in the European Journal of Education.

Higher education today often faces two extremes. On one hand, students are encouraged to participate actively in extracurricular activities; on the other, they are burdened with heavy academic workloads. Extracurricular involvement helps students develop interpersonal and teamwork skills, boosts their self-confidence, expands their social networks, and ultimately supports their future employability. However, excessive involvement in extracurricular activities can lead to burnout, stress, and lower academic performance. Some students may even sacrifice their academic responsibilities to participate in extracurriculars, which can negatively affect their grades. Until now, it has been unclear how to balance these different types of activities in an optimal way.

Researchers at HSE University—Natalia Maloshonok, Leading Research Fellow at the Institute of Education, Irina Shcheglova, a visiting lecturer, and Oksana Dremova, Deputy Director of the Centre for Institutional Research—conducted an online survey of 2,753 undergraduates at a highly selective Russian university in Moscow (all data was anonymised). Data collection took place from December 2021 to February 2022

To assess how undergraduates allocate their time across curricular and extracurricular activities, the researchers asked them how many hours per week they spend on paid work (both on and off campus), attending classes, recreational activities, homework, volunteering, sports, student clubs, socialising with friends, spending time with family, and at-home entertainment. The responses were grouped into several categories based on the amount of time spent on each activity, ranging from 0 hours to 31 hours or more per week. Students were also asked about their sleep habits, with response options ranging from 5 hours per night to 8 hours or more.

The researchers then matched the survey responses with administrative records of students’ academic performance. They also assessed levels of anxiety and depression using validated psychological questionnaires. Depression was measured using the Russian translation of the PHQ-9 (Patient Health Questionnaire–9), while anxiety was assessed with the Spielberger State–Trait Anxiety Inventory (STAI).

Attending classes and completing homework are both associated with strong academic performance. However, excessive homework (more than 25 hours per week) is correlated with higher levels of depression. Interestingly, attending more than 26 hours of classes per week did not show a similarly negative association with mental health.

Natalia Maloshonok

'Independent work on assignments and the mastery of new material both require strong self-regulation skills. Students must set their own learning goals, manage their time and work environment, stay motivated, monitor their progress, and evaluate and improve the effectiveness of their learning. In contrast, classroom learning is largely structured and supported by the instructor, making it an easier and less demanding format for many students. As a result, guided learning may support students’ mental well-being by reducing psychological stress and placing fewer demands on self-regulation skills,' according to Maloshonok.

Extracurricular work at the university, as well as participation in research activities and applied projects, had the strongest positive impact on academic performance. However, the researchers identified a threshold: these activities were beneficial only up to about 10 hours per week. Attending extracurricular events—such as lectures and master classes—once every three to six months also had a positive effect on academic performance, whereas more frequent participation did not. As for volunteering, spending six or more hours per week on it was associated with increased anxiety among students.

'Volunteering, like professional activities that involve helping others, is often linked to negative mental health outcomes, including burnout, depression, and high stress levels. For undergraduates without proper training, volunteering can be particularly challenging, especially when combined with a heavy academic workload. Such students may struggle to manage stressful situations on their own. Consequently, excessive involvement in volunteering during university studies can have detrimental effects on mental health,' says Maloshonok.

One of the key insights of the study was the importance of leisure activities, sports, family time, and socialising with friends. Neglecting rest in favour of studying and extracurricular activities was found to undermine both academic performance and mental health. Students who slept 7 to 8 hours on weekdays had significantly higher academic performance and were far less likely to experience depression and anxiety compared to those who slept only 5 to 6 hours.

© iStock

Additionally, exercising for 1 to 5 hours per week was associated with a significant reduction in anxiety and depression, with greater benefits observed at higher levels of activity. Spending more than 11 hours per week with friends and family outside the home was also linked to better mental health. In contrast, engaging in leisure activities at home for more than 15 hours per week was associated with higher levels of anxiety. The researchers suggest that spending so much time at home may reflect procrastination or social isolation, which are likely contributors to increased anxiety.

The researchers recommend that students limit extracurricular activities to no more than 10 hours per week and avoid overextending themselves with volunteering or organising events at university. Making time for sleep and socialising is just as important for academic success as attending lectures. For universities and faculty, the researchers recommend limiting homework so that students’ total workload does not exceed 25 hours per week. They also suggest emphasising the completion of assignments in the classroom rather than at home.

'It is important to inform students about the risks of overwork, promote time management and work–rest balance, and provide psychological support to those who are actively involved in organising extracurricular activities at the university,' Maloshonok notes.

For the first time in Russia, the study at HSE University identified optimal workloads for both curricular and extracurricular activities, outlining a balanced approach to student engagement.

See also:

Immersion in Second Language Environment Influences Bilinguals’ Perception of Emotions

Researchers at the Cognitive Health and Intelligence Centre at the HSE Institute for Cognitive Neuroscience have discovered how bilingual individuals process emotional words in their native (first) and non-native (second) languages. It was found that the link between word meaning and bodily sensations is weaker in a second language than in a first language. However, the more a person is immersed in a language environment, the smaller this difference becomes. The article has been published in Language, Cognition and Neuroscience.

Researchers Find More Effective Approach to Revealing Majorana Zero Modes in Superconductors

An international team of researchers, including physicists from HSE MIEM, has demonstrated that nonmagnetic impurities can help more accurately reveal Majorana zero modes—quantum states considered promising building blocks for quantum computing. The researchers found that these impurities shift the energy levels that typically obscure the Majorana signal, while leaving the mode itself largely unaffected, thereby making its spectral peak more distinct. The study has been published in Research.

New Development by HSE Scientists Helps Design Reliable Electronics Faster at a Lower Cost

Scientists from HSE MIEM have developed a new approach to modelling electrothermal processes in high-power electronic circuits on printed circuit boards (PCB). The method allows engineers to quickly and accurately predict how electronic components heat up during operation, helping prevent overheating and potential failures. The results have been published in Russian Microelectronics.

The Future of Cardiogenetics Lies in Artificial Intelligence

Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a program capable of analysing regions of the human genome that were previously inaccessible for accurate interpretation in genetic testing. The program adapts large generative AI (GenAI) models for cardiogenetics to predict how specific mutations affect the function of individual genes.

HSE Researchers: Young Russians Have Sufficient Knowledge About Money but Lack Money Management Skills

Adolescents and young adults in Russia today are well versed in financial terminology: they know what bank cards, loans, interest rates, and online payments are. However, as researchers at HSE University have found, real money-management skills remain poorly developed among most young people. The study ‘Financial Literacy, Financial Culture, and Financial Autonomy of Youth’ has been published in Monitoring of Public Opinion: Economic and Social Changes.

Why Weaker Competitors Give Up—and How to Keep Them in the Game

Anastasia Antsygina, Assistant Professor at HSE University’s Faculty of Economic Sciences, has developed a prize distribution model that maximises competitor engagement. She proposed revising the traditional ‘winner-takes-all’ approach and, in certain cases, offering a small reward even to those who have lost. According to her, this could increase participant motivation and make the competition more intense. The findings of her research were published in the Economic Theory journal.

HSE Researchers Compile Scientific Database for Studying Children’s Eating Habits

The database created at HSE University can serve as a foundation for studying children’s eating habits. This is outlined in the study ‘The Influence of Age, Gender, and Social-Role Factors on Children’s Compliance with Age-Based Nutritional Norms: An Experimental Study Using the Dish-I-Wish Web Application.’ The work has been carried out as part of the HSE Basic Research Programme and was presented at the XXVI April International Academic Conference named after Evgeny Yasin.

New Foresight Centre Study Identifies the Most Destructive Global Trends for Humankind

A team of researchers from the HSE International Research and Educational Foresight Centre has examined how global trends affect the quality of human life—from life expectancy to professional fulfilment. The findings of the study titled ‘Human Capital Transformation under the Influence of Global Trends’ were published in Foresight.

Scientists Develop Algorithm for Accurate Financial Time Series Forecasting

Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.

HSE and Yandex Propose Method to Speed Up Neural Networks for Image Generation

A team of scientists at HSE FCS and Yandex Research has proposed a method that reduces computational costs and accelerates text-to-image generation in diffusion models without compromising quality. These models currently set the standard for text-to-image generation, but their use is limited by high computational loads, the company said in a statement.