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Factors Influencing Burnout Among University Students: Systematic Review and Synthesis (2020–2025)

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30 December 2025

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31 December 2025

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Abstract
Background: Burnout among university students is a growing mental health concern, particularly during and after the COVID-19 pandemic. Academic, psychological, social, and individual factors contribute to burnout, but comprehensive synthesis across studies is limited. Methods: A systematic literature review was conducted following PRISMA guidelines. Scopus-indexed articles published between 2020 and 2025 were analyzed. Twenty-five empirical studies examining factors influencing burnout among university students were included. Key study characteristics, outcome variables, and associated factors were extracted and synthesized thematically. Results: Prevalence of burnout ranged from 38% to over 60% among university students. Academic factors such as high study load, curriculum demands, and prolonged study hours were common risk factors. Psychological factors including stress, anxiety, and depression also contributed to higher burnout levels. Protective factors included resilience, self-efficacy, social support, and academic engagement. Emerging challenges such as problematic social media use and digital distractions further exacerbated burnout by increasing mental fatigue, reducing concentration, and impairing sleep quality. Conclusion: Comprehensive institutional strategies including mental health support, workload management, resilience-building programs, promotion of social support, and interventions to reduce digital distractions are essential to mitigate burnout and promote student well-being. Future research should focus on longitudinal and experimental studies to evaluate intervention effectiveness across diverse educational contexts.
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1. Introduction

1.1. Necessity of the Study

Burnout among university students has become an increasingly important mental health issue in the context of global higher education, particularly during the period from 2020 to 2025. This timeframe has been marked by the impact of the COVID-19 pandemic and the post-pandemic phase, which brought substantial changes to learning systems, social interaction patterns, and academic demands. The transition to online and hybrid learning, increased academic workload, and reduced social engagement have contributed to heightened psychological pressure among students.
A review of 25 studies indicates that burnout is a highly prevalent phenomenon across different countries and academic disciplines. Several studies report that more than half of university students experience symptoms of burnout, with prevalence rates ranging from approximately 38 percent to over 60 percent. Emotional exhaustion is the most frequently reported dimension of burnout, followed by cynicism toward academic activities and reduced academic efficacy. Academic pressure, prolonged study duration, perceived stress, and dissatisfaction with learning systems, including online learning, are consistently identified as major risk factors for student burnout. Several studies focused on medical and nursing students, who often experienced high levels of burnout due to academic pressure, prolonged study hours, and adaptation to online or hybrid learning environments.
In addition to academic factors, psychological and social variables play a significant role in influencing burnout among university students. Stress, anxiety, depression, and social media addiction are reported to be positively associated with higher levels of burnout. In contrast, protective factors such as self-efficacy, intrinsic motivation, resilience, good sleep quality, and social support from family, peers, and faculty members are associated with lower levels of burnout. These findings suggest that student burnout is not solely the result of academic demands, but rather emerges from the complex interaction of academic, psychological, social, and individual factors.
Despite the growing body of research on student burnout, existing studies remain largely fragmented. Many investigations focus on specific student populations, such as medical or nursing students, and are conducted within limited national or regional contexts. Moreover, most studies employ cross-sectional designs and examine risk factors in isolation, without providing an integrated synthesis of their interrelationships. Comprehensive literature that systematically integrates findings across countries and academic disciplines during the period from 2020 to 2025 remains limited. Therefore, a transparent and structured systematic literature review is necessary to develop a more comprehensive understanding of the factors influencing burnout among university students.

1.2. Purpose of the Study

The purpose of this study is to conduct a systematic literature review of studies published between 2020 and 2025 to identify and synthesize factors influencing burnout among university students. Specifically, this review aims to identify academic, psychological, social, and demographic factors that are most consistently associated with student burnout, analyze patterns of relationships among these factors based on empirical evidence from diverse national and disciplinary contexts, and summarize available evidence regarding protective factors and interventions that have the potential to reduce burnout levels. The findings of this study are expected to provide an evidence-based foundation for the development of policies and practices in higher education that better support student mental health and well-being.

2. Materials and Methods

2.1. Research Design

This study employed a Systematic Literature Review (SLR) design aimed at identifying, evaluating, and synthesizing research findings related to factors influencing burnout among university students. The SLR approach was selected because it enables a comprehensive and structured presentation of scientific evidence derived from relevant empirical studies within a defined time period. The implementation of the systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure transparency, consistency, and reproducibility of the research process.

2.2. Research Procedure

The research procedure was conducted through several systematic stages. The first stage involved formulating the research questions focusing on factors influencing burnout among university students. The second stage consisted of developing a literature search strategy, including the selection of the database, determination of keywords, limitation of the publication period, and specification of article language. The third stage involved identifying and selecting articles based on predefined inclusion and exclusion criteria. The fourth stage was the assessment of article eligibility through full text review. The final stage involved analyzing and synthesizing the research findings, which were presented using narrative and thematic approaches.

2.3. Research Subject

The subjects of this study were not individuals directly, but rather scientific articles addressing burnout among university students. The research population comprised all scholarly publications relevant to the topic of burnout in university students. The research sample consisted of articles that met the inclusion criteria, namely empirical research articles examining factors influencing burnout among university students, published between 2020 and 2025, available in full text in English, and indexed in the Scopus database.

2.4. Data Collection

A literature search was conducted to identify scientific articles examining factors influencing burnout among university students. The search was performed using the international database Scopus, targeting articles published between January 2020 and October 2025.
The search strategy employed the following keyword combinations: (“university students” AND “burnout factors”) OR (“academic stress” AND “student burnout”). Keywords were used both as individual terms and in combination, in accordance with the search features available in the Scopus database.
The literature was limited to articles available in full text in English. Articles published in other languages were considered only if a full text English version was available.
The initial search yielded 35 articles. Subsequently, title and abstract screening was conducted to assess relevance to the research focus, and irrelevant articles were excluded at this stage. Articles that passed the screening process were then assessed for eligibility through full text review. Following the complete selection process, 25 articles met the inclusion criteria and were included in the final analysis. The article selection process is presented in the PRISMA flow diagram, as shown in Figure 1.

2.5. Literature Analysis and Presentation

Literature analysis was conducted using a thematic synthesis approach. Each selected article was analyzed to identify key study characteristics, including year of publication, country of origin, research design, burnout measurement instruments, and reported factors influencing burnout among university students. These factors were subsequently grouped into major themes, including academic pressure, social support, sleep quality, psychological demands, and individual factors.
The results of the analysis were presented in the form of a summary table of study characteristics and narrative descriptions to illustrate consistent findings as well as variations across studies. This approach aimed to provide a comprehensive understanding of dominant factors contributing to burnout among university students and to identify research gaps that warrant further investigation.

3. Results

3.1. General Characteristics of the Research

The final selection process based on the PRISMA flow resulted in 25 scientific articles included in this systematic review. All selected studies were international publications indexed in Scopus and published between 2020 and 2025.
In terms of publication year, most studies were published between 2021 and 2023, indicating increasing academic attention to student burnout, particularly in the post–COVID-19 pandemic period. Regarding geographical distribution, the majority of studies were conducted in Asia (China, India, Malaysia, South Korea, Kazakhstan, and Saudi Arabia), followed by Europe (Spain, Germany, Lithuania, and Croatia), the Americas, and several cross-national studies.
Concerning research design, most articles employed quantitative approaches with cross-sectional designs. In addition, several studies applied structural equation modeling (SEM), multivariate regression analysis, longitudinal designs, and instrument validation studies. No randomized controlled trials (RCTs) were identified, as the primary focus of the included studies was the exploration of associated factors and variable relationships rather than experimental interventions.
The study populations across all articles consisted of university students, predominantly medical and nursing students, followed by students from other health-related disciplines, education, STEM fields, and social sciences. Participants represented a wide range of academic years, from first-year students to those in their final year.
Sample sizes varied substantially, ranging from 74 participants to more than 22,000 respondents, indicating strong statistical power for identifying factors associated with student burnout. A summary of the general characteristics of the included studies is presented in Table 1.

3.2. Intervention-Related Characteristics

Although this review did not examine experimental interventions, all included studies analyzed factors or variables associated with student burnout, either as risk factors or protective factors.
The most frequently examined factors were academic-related stressors, including academic workload, study duration, curriculum demands, satisfaction with academic programs, and adaptation to online learning. These factors were consistently reported to have positive associations with burnout, particularly with the dimensions of emotional exhaustion and academic cynicism.
In addition to academic factors, many studies investigated psychological variables, such as stress, anxiety, depression, self-efficacy, self-esteem, resilience, and psychological capital. Stress, anxiety, and depression were consistently identified as strong predictors of burnout, whereas resilience, self-efficacy, and motivation functioned as protective factors.
Social and environmental factors were also commonly examined, including social support from family, peers, and significant others, academic engagement, quality of learning interactions, and social loneliness. Social support and engagement were shown to reduce burnout levels, while loneliness and interpersonal conflicts increased the risk of burnout.
More recent studies highlighted problematic social media use, social media addiction, and digital distraction as emerging contributors to academic burnout, primarily through increased mental exhaustion and reduced learning concentration.

3.3. Outcome Variables and Research Results Measurement Tools

The primary outcome variable across all included studies was student burnout, which was generally conceptualized as a multidimensional construct. The most frequently used measurement instrument was the Maslach Burnout Inventory–Student Survey (MBI-SS), assessing three core dimensions: emotional exhaustion, academic cynicism (or depersonalization), and academic efficacy.
In addition to the MBI-SS, several studies employed the Copenhagen Burnout Inventory (CBI), the Oldenburg Burnout Inventory (OLBI), and culturally adapted or validated academic burnout instruments. Instrument validation studies demonstrated good reliability and validity, as well as cross-cultural consistency in measuring student burnout.
Additional outcome variables commonly analyzed included depression, anxiety, stress, dropout intention, psychological well-being, resilience, and academic engagement. Overall findings consistently indicated that burnout was negatively correlated with psychological well-being, resilience, and engagement, and positively correlated with stress, anxiety, depression, and dropout intention.
Overall, findings from the 25 included studies demonstrate that student burnout is a multifactorial phenomenon, influenced by complex interactions among academic, psychological, social, and individual factors.

4. Discussion

This systematic review aimed to identify and analyze the factors influencing university student burnout based on 25 Scopus-indexed articles published between 2020 and 2025. Overall, the findings indicate that student burnout is a complex and multidimensional phenomenon, shaped by the interaction of academic, psychological, social, and individual factors.
Academic factors emerged as the primary determinants of burnout. High study load, curriculum demands, prolonged study hours, and pressure to achieve optimal academic performance were consistently associated with increased burnout (Le et al., 2025; Liu, Z. et al., 2023; Bolatov et al., 2022; Hwang & Kim, 2022). Students in demanding programs such as medical and nursing courses reported particularly high levels of emotional exhaustion and academic cynicism, often exacerbated by adaptation to online or hybrid learning environments during the COVID-19 pandemic (Obregon et al., 2020; Hunt et al., 2023). Dissatisfaction with academic programs and difficulty adapting to online learning also contributed to burnout (Liu, H. et al., 2023; Yan Jiang, 2021).
Psychological variables, including stress, anxiety, and depression, were consistently strong predictors of burnout (Cuevas-Caravaca et al., 2024; Basri et al., 2022; Sun et al., 2024). Students experiencing high levels of these negative emotions were more susceptible to burnout, while burnout itself could further compromise mental health. Positive psychological factors such as resilience, self-efficacy, self-esteem, and psychological capital functioned as protective mechanisms, enabling students to cope with academic pressure and maintain engagement (Basri et al., 2022; Liu, Z. et al., 2023; Gradiski et al., 2022).
Social and environmental factors significantly influenced burnout. Social support from family, peers, and significant others was negatively associated with burnout levels (Le et al., 2025; Reyes-de-Cózar et al., 2023), whereas high academic engagement and positive learning interactions reduced the risk of emotional exhaustion (Reyes-de-Cózar et al., 2023; Calcatin et al., 2022). Conversely, social isolation, interpersonal conflicts, and loneliness increased burnout vulnerability (Gradiski et al., 2022; Bolatov et al., 2022).
Recent studies highlighted the impact of problematic social media use and digital distractions on student burnout (Feng et al., 2025; Yan Jiang, 2021). Overuse of short-video apps and online platforms contributed to mental fatigue, impaired concentration, and reduced sleep quality, further aggravating academic burnout. These findings underscore the relevance of considering modern digital lifestyle factors in understanding student burnout.
The evidence suggests that comprehensive institutional strategies are necessary to mitigate burnout. These may include workload management, mental health support services, resilience-building programs, promotion of social support networks, and interventions to reduce digital distractions while enhancing positive academic engagement. Tailoring interventions to specific student populations—particularly high-risk groups such as medical and nursing students—can improve effectiveness.
This review has several limitations. The predominance of cross-sectional designs across included studies limits causal inference. Restricting the review to Scopus-indexed literature may introduce publication bias. Additionally, variability in burnout measurement instruments (MBI-SS, CBI, OLBI) complicates direct comparison of results. Future research should adopt longitudinal and experimental designs to evaluate causal relationships and intervention effectiveness, and include cross-cultural studies to better understand the dynamics of burnout in diverse educational contexts.

5. Conclusions

The systematic review of 25 Scopus-indexed studies from 2020 to 2025 shows that university student burnout is a multifactorial phenomenon influenced by academic psychological social and individual factors. The prevalence of burnout ranged from 38 percent to over 60 percent depending on the study and population. High academic demands prolonged study hours stress anxiety and depression were consistently identified as major risk factors as reported by le et al 2025 Liu, Z. et al 2023 Bolatov et al 2022 Cuevas-Caravaca et al 2024 and Basri et al 2022. Protective factors that reduced the likelihood of burnout included resilience self-efficacy social support from family peers and significant others and academic engagement as described by le et al 2025 Reyes-de-Cózar et al 2023 Gradiski et al 2022 and Calcatin et al 2022.
Emerging challenges such as problematic social media use and digital distractions further exacerbated burnout by increasing mental fatigue reducing concentration and interfering with sleep quality as highlighted by Feng et al 2025 and Yan Jiang 2021. These findings underscore the importance of implementing comprehensive interventions including mental health support workload management resilience-building programs promotion of social support and strategies to reduce digital distractions to prevent and mitigate burnout among university students.
Future research should prioritize longitudinal and experimental designs to evaluate causal relationships and the effectiveness of targeted interventions. Studies should also include diverse cultural and educational contexts to ensure that findings are generalizable and applicable across different student populations.

References

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Figure 1. PRISMA flow diagram of the study selection process.
Figure 1. PRISMA flow diagram of the study selection process.
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Table 1. Characteristics of studies on factors influencing burnout among university students included in the literature review (n = 25).
Table 1. Characteristics of studies on factors influencing burnout among university students included in the literature review (n = 25).
No Author(s) & Year Country Study Design Participants Burnout Measurement Tool Key Factors Examined
1 Le et al., 2025 Malaysia Cross-sectional 391 undergraduate medical and health sciences students MBI-SS Academic pressure, poor study hours, role overload, negative thoughts, social support (family, significant others)
2 Kong et al., 2025 China Cross-sectional Medical students, majority female (55.3%), mean age 20.6 MBI-SS Study duration, perceived stress, family income, GPA, self-efficacy, self-esteem, motivation
3 Feng et al., 2025 China Network analysis Chinese college students MBI-SS Anxiety, depression, stress, academic burnout, social media addiction, distraction by short-video apps
4 Čorić & Alajbeg, 2024 Croatia Cross-sectional STEM student teachers MBI-SS Emotional exhaustion, cynicism, academic self-efficacy, gender, academic year, study program
5 Sun et al., 2024 China SEM 599 university students MBI-SS Alexithymia, anxiety, social pressure, academic burnout, depression, gender differences
6 Cuevas-Caravaca et al., 2024 Spain Cross-sectional Nursing & education students MBI-SS Emotional exhaustion, personality traits (neuroticism, conscientiousness, agreeableness, openness), study hours, academic year
7 Castro et al., 2023 Chile & Spain Cross-cultural validation University students MBI-SS Factorial invariance, exhaustion, cynicism, academic efficacy, cross-cultural reliability
8 Hunt et al., 2023 USA Cross-sectional 74 medical learners (online-only vs in-person) MBI-SS Learning environment, emotional exhaustion, cynicism, resilience, mindfulness, self-compassion
9 Reyes-de-Cózar et al., 2023 Spain Cross-sectional 1st-year to postgraduate students (mean age 22) MBI-SS Student engagement, classroom interaction, exploration, intellectual challenges, relevance
10 Liu, Z. et al., 2023 China Cross-sectional 22,983 university students MBI-SS Emotional exhaustion, cynicism, reduced personal accomplishment, gender, academic year, smoking
11 Liu, H. et al., 2023 China Web-based survey 653 nursing students MBI-SS Academic year, specialty satisfaction, adaptation to online learning, COVID-19 impact, depression, resilience, professional identity
12 Gradiski et al., 2022 International (28 countries) Cross-sectional 188 medical students MBI-SS Professionalism (empathy, lifelong learning), loneliness (family, social), exhaustion, cynicism, professional efficacy, academic year, living situation
13 Calcatin et al., 2022 Not specified Structural equation modeling 532 medical students MBI-SS Burnout, dropout intention, academic engagement, moderation by engagement
14 Hwang & Kim, 2022 Korea Cross-sectional Nursing students (with/without clinical practice) MBI-SS Stress, anxiety, depression, major satisfaction, clinical practice experience
15 Bolatov et al., 2022 Kazakhstan Cross-sectional 736 medical students CBI-S, OLBI-S Gender, academic year, dropout thoughts, suicidal ideation, profession satisfaction, academic performance, interpersonal problems, smoking, accommodation, parental expectations, alcohol use, extracurricular activities, part-time job, somatic symptoms, depression, anxiety
16 Basri et al., 2022 India Structural model with multiple mediation Students aged 21–27 (54.8% male) Higher-order MBI construct Stress, burnout, perceived learning, resilience, problematic internet use, multiple mediation pathways
17 Yan Jiang, 2021 China Cross-sectional University students (COVID-19 affected vs non-affected) MBI-SS Problematic social media usage, anxiety, psychological capital, academic burnout (moderation/mediation)
18 Xu et al., 2021 Malaysia & China Cross-sectional College students majoring in sports MBI-SS Learning motivation, academic burnout, internal/external factors, depression, low sense of achievement
19 Nebhinani et al., 2021 India Cross-sectional First-year medical undergraduates Two-/Three-dimensional burnout criteria Stress, burnout prevalence, coping strategies (active coping, substance use), gender differences
20 Yahya et al., 2021 Iraq Cross-sectional Medical students, University of Kerbala MBI-SS Emotional exhaustion, cynicism, professional efficacy, gender, legal substance use, family history of mental diseases
21 Li et al., 2021 China Cross-sectional 860 undergraduate students MBI-SS Study burnout, emotional exhaustion, professional efficacy, gender, year level, residence, social/school/family/interpersonal factors
22 Rudinskaitė et al., 2020 Lithuania & Germany Cross-sectional Medicine students MBI-SS Study-induced stress, mood, weakness, digestive problems, sleep duration, psychological help-seeking
23 Jordan et al., 2020 USA Longitudinal 172 first-year medical students MBI-SS Stress, burnout (personal & work), resilience, gender differences, seasonal variation
24 Mahfouz et al., 2020 Saudi Arabia Cross-sectional 440 medical students MBI-SS Personal, study-related, client-related burnout, age, gender, burnout knowledge, academic year, CGPA
25 Obregon et al., 2020 USA Cross-sectional 273 medical students MBI-SS CY, EE, AE subscales, curriculum phase, wellness initiatives, motivation, gender differences
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