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The Burden of University Life: Stress, Anxiety, and Depression among
Undergraduates
Md. Shahadat Hossain*
Lecturer, Department of Psychology, Gopalganj Science and Technology University, Gopalganj, Bangladesh
*Corresponding Author
DOI : https://doi.org/10.51583/IJLTEMAS.2025.14030007
Received: 17 March 2025; Accepted: 21 March 2025; Published: 29 March 2025
Abstract: Mental health concerns among university students have been widely recognized as a growing issue, particularly in relation to stress, anxiety, and
depression. This study examines the burden of stress, anxiety, and depression among undergraduate students at Gopalganj Science and Technology
University, Bangladesh. A cross-sectional survey design was used with 372 students selecting through convenience sampling. The study employed the
Bangla version of the Depression Anxiety Stress Scale-21 (DASS-21) to measure psychological distress. Results revealed significant positive correlations
between stress, anxiety, and depression. Results also showed 74.20%, 80.38% and 81.18% undergraduate students experience stress, anxiety, and
depression. Gender differences were observed, with female students reporting higher levels of stress, anxiety, and depression compared to males.
Additionally, a significant increase in psychological distress was noted across academic years, with fourth-year students exhibiting the highest levels of
stress, anxiety, and depression. Findings indicated that these differences were particularly pronounced between first- and fourth-year students. Findings
further demonstrated that stress significantly predicted depression, accounting for a substantial proportion of the variance. When anxiety was added, the
explanatory power increased, highlighting the combined impact of stress and anxiety on depressive symptoms. These findings underscore the need for
targeted mental health interventions for university students, particularly those in higher academic years and female students. Addressing stress and anxiety
through proactive support strategies could mitigate their impact on depression and enhance students' overall well-being.
Keywords: stress, anxiety, depression, university students, gender differences, academic year
I. Introduction
The evolving dynamics of the higher education environment, marked by escalating competition and intricate academic expectations, have engendered a
notable escalation in the incidence of psychological distress, specifically stress, anxiety, and depression, among undergraduate student populations (Fauzi et
al., 2021). The confluence of rigorous academic curricula, financial constraints, social pressures, and uncertainties regarding future career prospects
collectively contribute to a heightened vulnerability to mental health challenges within this demographic (Fauzi et al., 2021). Specifically, the transition into
tertiary education represents a critical juncture in the lives of young adults, where a substantial proportion encounters elevated levels of stress, anxiety, and
depression (Parsons et al., 2021; Yang et al., 2022). In fact, a recent study revealed that a significant percentage of college students, approximately 34.5%,
experience considerable stress, while reports from Australia indicate that an overwhelming majority, around 83.2%, of tertiary education students feel
stressed, with 79% reporting anxiety, 66% experiencing high psychological distress, and over half suffering from sleep disturbances (Parsons et al., 2021).
Amidst these concerns, gender-related disparities in the manifestation and experience of stress, anxiety, and depression among undergraduates warrant
careful consideration. Women, for example, often exhibit a higher prevalence of depression, potentially attributable to a complex interplay of biological,
psychological, and sociocultural factors (Thomas & Segal, 2006). Specifically, women not only report a higher incidence of daily stressors but also
demonstrate a greater likelihood of having a history of depression, which can amplify the impact of stress on the onset of depressive episodes (Thomas &
Segal, 2006). However, some studies indicate that female students exhibit elevated anxiety and stress scores compared to their male counterparts (Marzouqi
et al., 2022). Female students' unique circumstances and social status render them particularly susceptible to mental health disorders such as depression and
anxiety (Talaie et al., 2024). Research suggests that being female can increase the likelihood of experiencing mental illnesses by up to four times (Talaie et
al., 2024).
Beyond gender differences, the academic year in which a student is enrolled also plays a critical role in influencing stress, anxiety, and depression levels.
Some studies suggesting that first-year and second-year students exhibit higher levels of depression, anxiety, and stress compared to their more senior peers
(Mofatteh, 2020). In contrast, research indicates first-year students may experience stress and anxiety related to adjusting to university life, navigating new
social environments, and managing academic workloads for the first time, whereas senior students face heightened stress due to impending graduation,
career prospects, and financial concerns (Harith et al., 2022).This heightened vulnerability among underclassmen may be attributed to the challenges
associated with transitioning to a novel academic environment, navigating unfamiliar social dynamics, and adapting to the rigors of collegiate coursework
(Yang et al., 2022). These findings support the fact that as students progress through their academic careers, they face different stressors and challenges
that can affect their mental health (Fauzi et al., 2021; Lee et al., 2021; Radeef & Faisal, 2017).
Given this academic and gender difference, it becomes essential to understand how stress and anxiety contribute to the development of depression among
undergraduate students. Prospective, longitudinal investigations have consistently revealed that heightened levels of both stress and anxiety function as
salient predictors of subsequent depressive episodes, highlighting the critical need for proactive identification and management of these psychological
vulnerabilities (Lee et al., 2021). Empirical investigations have consistently demonstrated that heightened levels of both stress and anxiety function as
salient predictors of depressive symptomology within undergraduate populations (Fauzi et al., 2021; Radeef & Faisal, 2017; Wells & Fisher, 2016). Stress
and anxiety are significant predictors of the onset and severity of depressive symptoms, with chronic or unmanaged stress and anxiety disorders
substantially elevating the risk of developing clinical depression (Wells & Fisher, 2016). Specifically, the escalating demands of academic coursework,
coupled with the pervasive anxieties surrounding academic performance and future career prospects, can precipitate a cascade of negative cognitive and
emotional responses, thereby augmenting the risk of depressive disorders (Fauzi et al., 2021).
Although international studies have consistently demonstrated the high prevalence of mental health issues among university students, empirical research in
the Bangladeshi context remains limited and fragmented. In addition, there is a lack of studies that investigate how gender and academic year may
influence psychological outcomes in university settings. Moreover, the predictive relationships among stress, anxiety, and depression-well-documented in
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Western literature-are rarely tested empirically in Bangladesh. This scarcity of localized, evidence-based insights presents a critical gap that this study aims
to address. Building on above findings, the present study investigated the prevalence of stress, anxiety, and depression among undergraduate students and
examined the effects of gender and academic year on these mental health outcomes. Furthermore, we explored the predictive role of stress and anxiety in
the development of depression within this population. By analyzing these relationships, we aimed to provide a deeper understanding of the demographic
and psychological factors that contribute to student mental health challenges. Therefore, following hypotheses are proposed:
Hypothesis 1: The prevalence of stress, anxiety, and depression is expected to be high among undergraduate students, reflecting the increasing mental
health burden in this population.
Hypothesis 2: Female undergraduate students will report higher levels of stress, anxiety, and depression compared to male undergraduate students.
Hypothesis 3: Advancing through academic years (from 1st to 4th year) will be associated with increased levels of stress, anxiety, and depression.
Hypothesis 4: Stress and anxiety will significantly predict depressive symptoms, where higher levels of stress and anxiety will be associated with an
increased likelihood of developing depression.
II. Methodology
Sample
The study included a total of 372 participants from Gopalganj Science and Technology University, Bangladesh. Among them, 205 (55.1%) were female and
167 (44.9%) were male, with ages ranging between 19 and 25 years (M = 22 years, SD = 2.16), with academic year 111 were in the first year (29.8%), 85 in
the second year (22.8%), 86 in the third year (23.1%), and 90 in the fourth year (24.2%). The participants were selected using a convenience sampling
method.
Study design
A Cross-sectional survey design was used for students.
Measures
Age, gender and academic year were collected as demographic information of the participants. This study utilized the following measure,
The Depression Anxiety Stress Scale. The Bangla version of the DASS-21 (Alim et al., 2014) had been developed by Lovibond et al. (1995) was used.
The scale consists of 21 items that are evaluated using a four-point Likert scale, ranging from 0 (did not apply to me at all) to 3 (applied to me very much).
The DASS-21 questionnaire consists of specific items that evaluate depression (items 3, 5, 10, 13, 16, 17, 21), anxiety (items 2, 4, 7, 9, 15, 19, 20), and
stress (items 1, 6, 8, 11, 12, 14, 18). The total score for each category (depression, anxiety, and stress) should be doubled. A normal score indicates no
significant distress, while higher scores reflect increasing severity. For depression, scores range from 0-9 (normal) to 28+ (extremely severe). Anxiety levels
are classified from 0-7 (normal) to 20+ (extremely severe). Stress scores range from 0-14 (normal) to 34+ (extremely severe). In this study the Bangla
version Cronbach's alpha for depression, anxiety, and stress were 0.81, 0.83, and 0.85, respectively. The overall reliability (alpha) was .91.
Procedure
Data was gathered using a self-reported questionnaire that comprised demographic questions and the Depression Anxiety Stress Scale-21 (DASS-21). Prior
to completing the survey, participants received clear instructions. The questionnaires were distributed in a classroom environment, ensuring that participants
had sufficient time to provide their responses.
Statistical analysis
Collected data were statistically analyzed by using SPSS (version 27.0). First of all, we computed Descriptive statistics for mean, standard deviation, range,
frequency and percentage. Second, to examine the association between stress, anxiety and depression Pearson’s correlation analysis was conducted.
Comparisons of variables between the two groups (male vs female) were analyzed by independent sample t test. Third, to compare data obtained from four
academic year of students, one-way ANOVA and Tukey HSD post hoc tests were conducted. Finally, to calculate predicting effect hierarchical regression
analysis was conducted.
Ethical Considerations
Participants were provided with details regarding the study's purpose, their ability to withdraw at any point, and the assurance of confidentiality in their
responses. Prior to participation, written informed consent was obtained. To maintain anonymity, no personally identifiable information was collected.
III. Results
Before applying inferential statistics, the normality of the collected data on stress, anxiety and depression scores was checked. Regarding the Shapiro-Wilk
and Kolmogorov-Smirnov test, p values are above .05 indicating the variables are normally distributed (Goodman, 1954). Pearson-product moment
correlation revealed significant positive association between all three variables. The highest correlation was found between stress and depression (r = .72, p
< .01), indicating that higher levels of stress are strongly associated with greater depressive symptoms. Stress also showed a significant positive correlation
with anxiety (r = .70, p < .01), suggesting that individuals experiencing higher stress levels tend to have increased anxiety. Additionally, anxiety and
depression were significantly correlated (r = .71, p < .01), reflecting the close relationship between these two mental health variables. These results
highlight the strong interconnection among stress, anxiety, and depression.
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Figure 1. Percentages of Stress, Anxiety, and Depression
The data of Figure 1 indicated that a significant majority of adolescents experience high levels of these psychological challenges. Specifically, 74.20% of
the adolescents reported experiencing stress, 80.38 %, indicated experiencing anxiety and 81.18%, reported symptoms of depression.
Table 1 Gender Differences in Stress, Anxiety, and Depression Among University Undergraduates
Female
Male
Variable
M
SD
M
SD
t (370)
Stress
22.17
9.62
17.39
8.04
-5.123
Anxiety
17.69
9.79
12.85
7.64
-5.220
Depression
20.63
10.15
13.68
6.86
-7.563
Table 1 presents gender differences in stress, anxiety, and depression levels among university undergraduates. The results indicate that females reported
significantly higher stress levels (M = 22.17, SD = 9.62) than males (M = 17.39, SD = 8.04), t (370) = -5.123, p < .001, with a moderate effect size (Cohen’s
d = .53). Similarly, anxiety levels were significantly higher among females (M = 17.69, SD = 9.79) compared to males (M = 12.85, SD = 7.64), t (370) = -
5.220, p < .001, with a moderate effect size (Cohen’s d = .54). Depression exhibited the largest gender difference, with females scoring significantly higher
(M = 20.63, SD = 10.15) than males (M = 13.68, SD = 6.86), t (370) = -7.563, p < .001, and a large effect size (Cohen’s d = .79).
Table 2 One-way ANOVA for Stress, Anxiety, and Depression by Academic Year
First Year
Second Year
Third Year
Fourth Year
Variables
M
SD
M
SD
M
SD
M
SD
F (3, 368)
η²
Post-Hoc
Stress
12.32
7.80
18.89
7.64
24.21
5.72
26.58
7.70
75.32***
.38
1<2<3<4
Anxiety
10.74
7.68
15.36
9.17
16.49
7.69
20.62
9.40
23.04***
.16
1<2<3<4
Depression
12.32
8.16
17.29
8.60
19.60
8.32
22.11
9.82
23.09***
.16
1<2<3<4
Note. Homogeneity of variances tested by Levene’s test (p > 0.05). Partial eta-squared (η²) indicates the effect size. ***p < .001
Results of the one-way ANOVA are shown in Table 2. The ANOVA for stress, anxiety, and depression showed significant differences among academic year
groups. For stress, significant differences were found (F (3, 368) = 75.32, p < .001) with a large effect size (η² = .38). Similarly, anxiety (F (3, 368) = 23.04,
p < .001) and depression (F (3, 368) = 23.09, p < .001) also exhibited significant differences, both with large effect sizes (η² = .16). Post-Hoc comparisons
using Tukey HSD for stress showed significant differences were found between all academic years except between third- and fourth-year students (p >
.001). The largest mean difference was between first- and fourth-year students (-14.25, p < .001). For anxiety significant differences were found between
first- and all other years (p < .001), as well as between fourth- and third-year students (p < .05). No significant difference was observed between second-
and third-year students (p > .001). For depression significant differences were found between first- and all other years (p < .001), and between second- and
fourth-year students (p < .05). The difference between third- and fourth-year students was not statistically significant (p > .001).
Table 3 Hierarchical Regression Analysis Predicting Depression
Variable
B
95% CI
SE B
β
ΔR²
LL
UL
Model 1
.51
.51***
Constant
2.83***
1.22
4.45
.82
Stress
.73***
.66
.81
.04
.72***
Model 2
.60
.09***
Constant
2.15**
.68
3.62
.75
Stress
.44***
.34
.53
.05
.43***
Anxiety
.43***
.33
.52
.05
.41***
Note. B = unstandardized coefficient; β = standardized coefficient; SE = standard error; LL = lower limit; UL = upper limit; CI = confidence interval. **p <
.01, ***p < .001
Table 3 presents the impact of stress and anxiety on depression among participants. In Model 1, the value of .51 indicates that stress alone explained
51% of the variance in depression, with F (1, 370) = 388.14, p < .001. The results show that stress significantly predicted depression = .72, p < .001). In
Model 2, the value increased to .60, revealing that stress and anxiety together explained 60% of the variance in depression, with F (2, 369) = 276.39, p <
.001. In this model, stress remained a significant predictor (β = .43, p < .001), while anxiety also significantly predicted depression (β = .41, p < .001). The
ΔR² of .09 indicates a 9% increase in variance explained between Models 1 and 2, with ΔF (1, 369) = 80.86, p < .001.
IV. Discussion
The study set out to investigate the impact of university life on undergraduate students' mental health, specifically focusing on stress, anxiety, and
depression, and to identify contributing factors. The first hypothesis that the prevalence of stress, anxiety, and depression is expected to be high among
undergraduate students. The findings show that 74.20%, 80.38% and 81.18% undergraduate students had stress, anxiety, and depression, respectively.
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These findings corroborate a growing body of evidence indicating a significant rise in mental health issues among university students, a trend that is
increasingly recognized as a critical concern within both academic and public spheres (Harith et al., 2022). The observed high prevalence rates of stress,
anxiety, and depression among undergraduate students may reflect the multifaceted pressures inherent in the university environment (Ladejo, 2021). A
confluence of factors, including rigorous academic coursework, financial burdens exacerbated by tuition costs and living expenses, the complexities of
social integration and peer relationships, and the developmental challenges associated with transitioning to adulthood, can collectively contribute to the
mental health challenges experienced by students (Ladejo, 2021). Furthermore, the pressure to succeed academically, coupled with anxieties about future
career prospects, can create a highly stressful environment that precipitates or exacerbates mental health conditions (Farrer et al., 2016).
The second hypothesis that female undergraduate students will report higher levels of stress, anxiety, and depression compared to male undergraduate
students. The finding that female students report significantly higher levels of stress, anxiety and depression is consistent with research indicating that
females are more prone to psychological alterations that can result in conditions such as anxiety, insomnia, depression, or post-traumatic stress disorder
(Rodríguez-Besteiro et al., 2021). This observed pattern may be attributed to a complex interplay of factors, encompassing hormonal influences, differences
in coping mechanisms, and differential exposure to social stressors (Wells & Fisher, 2016). Several theoretical frameworks offer potential explanations for
these observed gender differences. From a biological perspective, hormonal fluctuations associated with the menstrual cycle, pregnancy, and menopause
may contribute to increased vulnerability to mood disorders in women (Wells & Fisher, 2016). From a psychological standpoint, cognitive theories suggest
that women may exhibit distinct cognitive styles characterized by heightened self-criticism, rumination, and negative attributional biases, which exacerbate
the experience of stress, anxiety, and depression. (Thomas & Segal, 2006). Social role theory posits that societal expectations and gender norms may
contribute to differential experiences of stress and emotional expression between men and women (Wells & Fisher, 2016).
The third hypothesis that advancing through academic years (from 1st to 4th year) will be associated with increased levels of stress, anxiety, and
depression. The findings show significant differences in stress, anxiety, and depression across academic years further highlight the dynamic impact of
university life on students' mental health. Stress levels increased progressively from first to fourth year, with the highest levels reported by fourth-year
students. Similar trends were observed for anxiety and depression, indicating that as students advance through university, they experience heightened
psychological distress. In similar vein, the progression from first year to fourth year is marked by increasing academic demands, greater pressures related to
career planning and future prospects, and the culmination of social and personal challenges, all of which contribute to a heightened vulnerability to
psychological distress (Idaris et al., 2022). This aligns with finding that significant differences in stress, anxiety, and depression levels across academic
years, underscores the dynamic interplay between academic demands, personal development, and mental health (Mofatteh, 2020). Furthermore, the
significant differences observed between specific academic years, as revealed by post-hoc comparisons, emphasize the varying impact of academic
milestones and transitional periods on student mental health (Chen et al., 2022).
The fourth hypothesis that stress and anxiety will significantly predict depressive symptoms, where higher levels of stress and anxiety will be associated
with an increased likelihood of developing depression. The findings indicate that both stress and anxiety play significant roles in predicting depression.
Initially, stress alone accounted for a substantial portion of the variation in depression, reinforcing its strong influence. However, when anxiety was
introduced with stress, the ability to explain depression improved, suggesting that anxiety also contributes meaningfully to depressive symptoms. Although
stress remained a key predictor, the inclusion of anxiety highlighted its additional impact. The increase in explained variance underscores the importance of
considering both stress and anxiety when examining factors that contribute to depression. Extensive research has demonstrated the significant relationship
between stress, anxiety, and depression. Stress has been identified as a primary predictor of depressive symptoms, emphasizing its substantial role in
influencing mental health outcomes (Barnaby, 2015). Prior studies confirm that heightened stress levels are strongly associated with increased depression,
aligning with well-documented evidence on stress’s detrimental effects on psychological well-being (Rodgers et al., 2021). Chronic or severe stress can
disrupt neurochemical balance and impair the functioning of the hypothalamic-pituitary-adrenal axis, leading to depressive states (Radley et al., 2011).
Additionally, anxiety has been shown to contribute uniquely to depression, further enhancing the explanatory power of predictive models (Kircanski et al.,
2016). This synergistic effect of stress and anxiety may stem from shared neural pathways and cognitive processes, such as heightened vigilance,
rumination, and negative appraisal biases, which are common to both conditions (Dryden, 2021; Lemma et al., 2011). The interplay between stress and
anxiety highlights the multifaceted nature of depression, suggesting that both factors should be considered in understanding its etiology (Hewitt et al.,
1992).
several limitations should be acknowledged in this study. First, the use of a cross-sectional design limits causal inferences, as the directionality of
relationships cannot be definitively established. Future longitudinal studies should examine the temporal dynamics between stress, anxiety, and depression
to provide clearer insights into their causal relationships. Second, the reliance on self-reported measures may introduce response biases, such as social
desirability or recall bias, which could affect the accuracy of reported psychological distress levels. Future research should consider incorporating objective
or multi-method assessments to enhance data reliability. Third, the study focused on a single university population, limiting the generalizability of findings
to broader student populations. Future studies should include diverse samples from multiple institutions to improve external validity.
Despite these limitations, the findings have important implications for mental health interventions in university settings. The significant gender differences
in psychological distress suggest that mental health programs should be tailored to address the specific stressors faced by male and female students.
Additionally, the increasing levels of stress, anxiety, and depression across academic years highlight the need for targeted interventions that provide support
throughout students' university journey, particularly for senior students facing heightened academic and career-related pressures. Furthermore, given the
strong predictive role of stress and anxiety in depression, university counseling services should focus on developing strategies for stress and anxiety
management to prevent the onset or exacerbation of depressive symptoms. By implementing evidence-based mental health initiatives, universities can
foster a supportive environment that promotes student well-being and academic success.
V. Conclusion
The findings highlight the intricate relationship between stress, anxiety, and depression among university students. The results indicate that most
undergraduate students experienced stress (74.20%), anxiety (80.38%), and depression (81.18%). Gender differences indicate that female students report
significantly higher psychological distress compared to males. Additionally, academic year plays a crucial role, with stress, anxiety, and depression levels
increasing progressively from first to fourth year. Hierarchical regression analysis confirms stress as a primary predictor of depression, with anxiety further
contributing to its variance. These results emphasize the need for targeted interventions to support students' mental health. Future research should explore
additional factors influencing psychological well-being, such as coping mechanisms and social support. Addressing these concerns can enhance academic
success and overall well-being, ensuring a more supportive university environment.
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Acknowledgement
The author expresses gratitude towards all those who actively engaged in the study and contributed to the efficient completion of the research.
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