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Abstract
Being a centre of academic pursuits and intellectual rigour, universities frequently place a high demand on the psychological and emotional well-being of their workers. This study aims to explore the relationship between perceived stress, anxiety, and depression among employees in a university in Nigeria and explore how these stress levels are associated with anxiety and depression. We conducted a cross-sectional study in a foremost private university in Southwestern Nigeria between 28th January 2024 and 11th April 2024. The participants completed a set of self-report questionnaires measuring perceived stress, anxiety and depression symptoms, and demographic information via an electronic survey platform (Google Forms). Data was analyzed using descriptive and inferential statistics. The results showed that both perceived stress (r = 0.517, p = 0.01) and family history of heart attack (p = 0.026) were found to be significantly associated with depression (p = 0.05). The logistic regression analysis revealed that, even after adjusting for hypertension (OR = 10.43, 95% CI = 1.761–61.799), high perceived stress remained significantly associated with both anxiety (OR, 95% confidence interval (CI) = 1.761–61.799; p = .010) and depression (OR, 42.91; 95%CI = 7.557–243.605) compared with those who experienced either moderate or low levels of stress. The study showed that perceived stress is associated with anxiety and depression. Findings are expected to inform policymakers and university administrators, guiding the implementation of effective mental health support systems and stress management interventions within Nigerian universities.
Citation: Adeleke TO, Olatubi IV, Ademuyiwa GO, Samson TK, Awotunde TA, Adeleke VO, et al. (2025) Perceived stress, anxiety, and depression among university employees in Southwestern Nigeria: A cross-sectional study. PLOS Ment Health 2(1): e0000235. https://doi.org/10.1371/journal.pmen.0000235
Editor: Hanif Abdul Rahman, Universiti Brunei Darussalam Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah Institute of Health Sciences, BRUNEI DARUSSALAM
Received: September 5, 2024; Accepted: December 23, 2024; Published: January 29, 2025
Copyright: © 2025 Adeleke et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All data are in the supporting information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The university environment, a hub of intellectual rigor and academic pursuit, often demands significant psychological and emotional resilience from its workforce [1,2]. Kita et al. [3] reported that the stress of transitioning between online and onsite teaching negatively impacted the mental health of students examined in their study. This pressure cut across every sphere of the university community; among staff, the demands of academic and administrative responsibilities; and the need to balance personal and professional lives can lead to elevated stress levels with diverse consequences.
Stress, a multifaceted response to perceived threats or demands, can profoundly impact mental health [4]. Chronic stress has been linked to a range of mental health disorders, including anxiety, depression, and burnout [5–8]. For university employees, stressors may include heavy workloads, job insecurity, overtime work, lack of resources, and the pressure to publish and secure research funding. These stressors are often compounded by external factors such as economic hardship and social instability, which are prevalent in many parts of Nigeria. Consequently, the university workforce in Nigeria may be particularly vulnerable to stress-related mental health issues.
In Nigeria, where universities are grappling with unique challenges such as underfunding [9], political instability [10], and socio-economic pressures [11], the mental well-being of the academic workforce is of paramount concern. Previous studies documented high levels of stress among university workers, especially those in the teaching categories [12] and the general university workers population [13].
Understanding the perceived stress levels among this group and their association with mental health disorders is crucial for developing targeted interventions that can enhance their well-being and productivity. Recent studies have highlighted the increasing prevalence of mental health disorders among academic staff globally [14–18], yet there is a paucity of research focusing specifically on Nigerian university workers.
This study aims to fill this gap by examining the perceived stress levels among university employees in Nigeria and exploring how these stress levels are associated with mental health disorders. By employing validated stress and mental health assessment tools, this research seeks to provide a comprehensive understanding of the factors contributing to stress and mental health challenges in this context. The findings are expected to inform policymakers and university administrators, guiding the implementation of effective mental health support systems and stress management interventions within Nigerian universities.
Materials and method
Study design
We performed a cross-sectional study among the staff of Bowen University, Iwo, Osun State.
Study settings
The study was conducted among Bowen University’s workforce. Bowen University is a foremost private University owned by the Nigerian Baptist Convention. It is located in Iwo, Osun State of Nigeria. Data was collected between 28 January 2024 and 11 April 2024.
Participants
The participants were employees from a leading privately-owned Christian university in Southwestern Nigeria. Only full-time employees who have spent at least one academic session (1 year) in the university were eligible to participate. Employees who are critically ill, on maternity leave, or sabbatical leave were excluded from the study. An electronic survey platform (Google Forms) was used to recruit participants and administer the questionnaires. The link was shared on all the university staff’s electronic platforms, mainly WhatsApp. Recruitment was conducted through WhatsApp invitations, which included a brief description of the study and a link to an informed consent document.
All participants completed a set of self-report questionnaires measuring perceived stress levels, anxiety, depression symptoms, and demographic information. Consent was obtained electronically by having participants select “Yes-Continue with Survey” to proceed or “No-Exit Survey” to terminate participation. The invitations were distributed to WhatsApp groups for junior and senior academic staff as well as junior and senior non-academic staff, encompassing a total of 1034 employees.
Variables
The variables examined in the study were perceived stress, anxiety, and depression. The study examined the influence of perceived stress on the level of anxiety and depressive symptoms among the workers. Perceived stress, History of hypertension, diabetes, and family history of heart attack were used to predict anxiety and depressive symptoms among the participants. Perceived stress was categorized as “low”, “moderate” and “high” while anxiety and depression were categorized as “normal”, “borderline abnormal” and “abnormal”.
Measurement
The perceived stress was measured using the Perceived Stress Scale (PSS). The PSS is a 10-item scale used to assess perceptions of general life stress. Developed in 1983, this instrument evaluates how different situations affect feelings and perceived stress. Participants rated their experiences over the last month on a 5-point scale ranging from “Never” (0), “Almost never” (1), “Sometimes” (2), “Fairly often” (3) to “Very often” (4). Scores are categorized as “Low Perceived Stress” (0–13); “Moderate Perceived Stress” (14–26) and “High Perceived Stress” (27–40).
Anxiety and Depression were measured in the study using the Hospital Anxiety and Depression Scale (HADS). The HADS, developed by Zigmond and Snaith in 1983, is a 14-item scale used to assess anxiety and depression symptoms. Participants reported their feelings over the past week. Scores are categorized as “Normal” (0–7); “Borderline abnormal” (8–10); and “Abnormal” (11–21)
Sample size
An estimated sample of 288 workers was arrived at using the Taro Yamane formula for calculating sample size from 1034 staff on the payroll of the university. Comprising both teaching and supporting staff. A total of 275 staff members eventually participated in the study, resulting in a response rate of 95.5%.
Ethical considerations
The study procedures were duly reviewed and approved by the Bowen University Institutional Review Board.
Data analyses
All categorical variables were analyzed descriptively using frequency and percentage while for all quantitative variables, mean and standard deviation. The correlation between perceived stress with anxiety and depression was examined using Pearson correlation while the univariate association between categorical variables was investigated using the Chi-Square test. Also, multiple logistic regression was used to examine the association between perceived stress with anxiety and depression with and without adjusting for hypertension and a family history of heart attack. Odds ratios and their corresponding 95% confidence intervals were estimated and all analyses were carried out using the Statistical Package for Social Sciences (SPSS version 22.0).
Results
Results showed that 46.2% of the participants were male while 53.8% were female (Table 1). The distribution of the demographics indicates that the majority of the respondents were non-teaching staff (59.3%) with most of the respondents being permanent staff (82.5%). The majority of the participants were less than 60 years old (95.9%), and Yoruba (95.7%). The mean scores of 15.47 were obtained for perceived stress with a standard deviation of 5.66 while for anxiety, and depression, the mean scores of 3.72 and 4.32 were obtained with standard deviations of 1.96 and 3.52 respectively. Based on these mean scores, it can be deduced that on average, the participants experienced moderate levels of stress, normal anxiety level, and normal depression level.
There is a significant positive relationship between perceived stress and anxiety (r = .517, p < .01) which implies that a significant increase in perceived results in a corresponding increase in anxiety (Table 2). The result also reveals that significant positive relationship between perceived stress and depression (r = .522, p < .01) meaning that as perceived stress increases, there is an increase in depression. This therefore means that perceived stress has a significant positive relationship with both anxiety and depression (p < .05). Table 3 presents the results of the perceived stress, anxiety, and depression among the participants. The result shows that the majority of the respondents had moderate stress (63.6%), normal anxiety level (95.3%), and normal level of depression (81.1%).
The univariate association between perceived stress on anxiety and depression while also adjusting for demographic variables is presented in Table 4. Result shows that perceived stress is significantly associated with anxiety (p = 0.001, p < .01) and depression (p = 0.000, p < .01). Result also established that none of the demographic variable was found to be significantly associated with anxiety (p>.05) while only tribe shows significant association with depression (p = 0.004, p < .01) with higher prevalence of high depression among other tribes (11.1%) compared with that obtained among the three major tribes in Nigeria (Yoruba, Igbo and Hausa).
Result of logistic regression shows that with and without adjusting for demographics of the respondents, perceived stressed was found to be significantly associated with anxiety with an increased odds of 12.277 [C.I = 1.789–84.239] after adjusting for demographics variables and an odd ratio of 9.35 (C.I = 1.628–53.636). The Odd ratio of 12.277 indicates that the odds of anxiety is more than 12 times higher among those with higher level of perceived stress compared with those with low/moderate level of stress. For depression, the adjusted odd ratio of 39.494 [C.I = 6.009–259.567] was obtained which indicates that the odds of depression were more than 39 times higher among those that experienced high perceived stress compared with those under low or moderate level of stress. This result of the logistic regression also confirmed that perceived stress is significantly associated with both anxiety and depression (p < .05) (Table 5).
Discussion
The present study aimed to investigate the relationship between perceived stress, anxiety, and depression among employees at a privately owned faith-based university in Southwestern Nigeria. The findings revealed several important insights into the psychological well-being of university staff. The study recorded a moderate mean score for perceived stress (15.47) indicating moderate stress levels among the participants. In addition, our study also revealed a significant positive relationship between perceived stress and both anxiety and depression.
The moderate level of stress indicates that, on average, participants experienced moderate stress levels which agrees with the findings of Albikawi [19]. Our findings on the level of stress experienced by the workers are similar to what was documented among teachers in Spain [20] and university professors in Israel [12]. The level of stress among the staff in this study is lower than what was reported among academic staff in a University in Ethiopia [21]. The reason for the differences between our study and earlier study may be due to differences in the setting where the study was carried out or the fact that why our study focused on perceived stress, while theirs focused on work-related stress. Also, our study focused on both teaching and non-teaching staff of the university while most of previous studies in Nigeria focused mainly on academic staff [22]. It may also be due to innate stressors of the different populations, possibly, the university environment in Ethiopia predisposes to stress development, or the employees in Nigeria can cope better with stress due to their inherent innate characteristics and verbalize stress less than those in Ethiopia.
Interestingly, the levels of anxiety and depression were generally low among the participants in our study, with mean scores of 3.72 (SD = 1.96) for anxiety and 4.32 (SD = 3.52) for depression, suggesting normal anxiety and depression levels among the majority of the participants. This is not the case with several other findings as Fawzy and Hamed [23] recorded 87.7% in Bangladesh, 67.9% in Jordan [24], and 34.6% in Japan [25]. However, Ozamiz-Etxebarria [20] documented that levels of anxiety and depression among university teachers are low when compared to the level of stress they are exposed to.
Our findings showed that as the amount of stress that the worker is exposed to increases, their anxiety level and prevalence of depressive symptoms increase [26–30]. This is a pointer that if something is not done to arbitrate the stress that the workers are exposed it may result in increased levels of anxiety and depressive symptoms among the staff. This trend shows a great danger not only for the workers but also for the students they relate with daily as anxiety and depression have been documented to affect job performances and work output [31–33]. Furthermore, our findings showed that, even after adjusting for socio-demographic variables, high perceived stress remained significantly associated with both anxiety and depression. These findings underscore the profound impact of perceived stress on mental health, independent of other potential risk factors.
Limitation
None randomness of the electronic survey is a limitation of this study, which might have introduced response bias. Also, perceived is not an absolute measure of stress experience which may also be a form of bias. Despite the correlations discovered, these characteristics cannot be regarded as predictors due to the intrinsic limitations of the study, which further restricts the creation of linearity. Nonetheless, the findings highlight the importance of addressing perceived stress in the workplace to mitigate its adverse effects on mental health. Interventions aimed at stress reduction could potentially decrease the prevalence of anxiety and depression among university staff.
Conclusion
In conclusion, this study highlights the significant relationship between perceived stress and mental health outcomes among university employees. The findings suggest that moderate levels of perceived stress are common among staff and high perceived stress is significantly associated with increased anxiety and depression, independent of other health factors. Additionally, a family history of heart attack appears to be a significant predictor of depression. These insights underscore the need for targeted stress management interventions and mental health support for university employees to enhance their overall well-being. Future research should explore longitudinal data to better understand the causal relationships and develop effective strategies for stress reduction in academic settings. Also, employers and employees should devote attention to developing and suggesting through rigorous research, culturally appropriate techniques to promote stress reduction; anxiety, and depression curtailment among workers in the university environment. These techniques may include yoga, meditation, sports, exercise, dance, reiki, energy healing, spiritual lessons, etc.
References
- 1. Ononye U, Ogbeta M, Ndudi F, Bereprebofa D, Maduemezia I. Academic resilience, emotional intelligence, and academic performance among undergraduate students. Knowl Perform Manage. 2022;6(1):1–10. https://doi.org/10.21511/kpm.06(1).2022.01.23.
- 2. Ang WHD, Shorey S, Lopez V, Chew HSJ, Lau Y. Generation Z undergraduate students’ resilience during the COVID-19 pandemic: a qualitative study. Current psychology. 2022;41(11), 8132–8146. pmid:34253948
- 3. Kita Y, Yasuda S, Gherghel C. Online education and the mental health of faculty during the COVID-19 pandemic in Japan. Sci Rep. 2022;12, 8990. pmid:35637241
- 4.
Chu B, Marwaha K, Sanvictores T, et al. Physiology, Stress Reaction. [Updated 2024 May 7]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK541120/
- 5. Myssayev A, Meirmanov S, Migina L, Pak L, Baibussinova A. Prevalence Uristemova and associated factors of depression, anxiety, and stress among academic medicine faculty in Kazakhstan: a Cross-sectional Study. J Prev Med Hyg. 2023;64(2):E215–E225.
- 6. Koutsimani P, Montgomery A, Georganta K. The relationship between burnout, depression, and anxiety: A systematic review and meta-analysis. Frontiers in Psychology. 2018;10, 284. https://doi.org/10.3389/fpsyg.2019.00284
- 7. Mariotti A. The effects of chronic stress on health: new insights into the molecular mechanisms of brain-body communication. Future Sci OA. 2015;1(3):FSO23. pmid:28031896
- 8. Salleh MR. Life event, stress and illness. The Malaysian journal of medical sciences: MJMS. 2008; 15(4), 9–18.
- 9. Ekundayo HT., Ajayi IA. Towards Effective Management of University Education in Nigeria. International NGO Journal. 2009; 4, 342–347. http://www.academicjournals.org/INGOJ
- 10. Udefi A. The Trouble with Nigerian Universities: Bogus Policy and Speculative Ideology. Global Journal of Social Sciences. 2014;13: 1–17
- 11. Arowolo DE, Ogunboyede K. Confronting Governance Challenges in the Nigerian Universities within the Context of Failing Economy. International Journal of Learning & Development. 2013;3 (1).
- 12. Besser A, Lotem S, Zeigler-Hill V. Psychological Stress and Vocal Symptoms Among University Professors in Israel: Implications of the Shift to Online Synchronous Teaching During the COVID-19 Pandemic. Journal of Voice. 2022; 36 (2). https://doi.org/10.1016/j.jvoice.2020.05.028.
- 13. Carmo DRP, Siqueira DF, Mello AL, Freitas EO, Terra MG, Cattani AN, et al. Relationships between substance use, anxiety, depression and stress by public university workers. Rev Bras Enferm. 2020;73(Suppl 1):e20190839. pmid:33084838
- 14. Ross PM, Scanes E, Locke W. Stress adaptation and resilience of academics in higher education. Asia Pacific Educ. Rev. 2024; 25, 829–849. https://doi.org/10.1007/s12564-023-09829-1
- 15. Lo CC, Chen IC, Ho WS, Cheng YC. A sequential mediation model of perceived social support, mindfulness, perceived hope, and mental health literacy: An empirical study on Taiwanese university students. Acta psychologica. 2023; 240(104016). https://doi.org/10.1016/j.actpsy.2023.104016
- 16. Slimmen S, Timmermans O, Mikolajczak-Degrauwe K, Oenema A. How stress-related factors affect the mental well-being of university students A cross-sectional study to explore the associations between stressors, perceived stress, and mental well-being. PloS one. 2023; 17(11): e0275925. https://doi.org/10.1371/journal.pone.0275925
- 17. Ochnik D, Rogowska AM, Kuśnierz C, Jakubiak M. Schutz A, Held MJ. Mental health prevalence and predictors among university students in nine countries during the COVID-19 pandemic: a cross-national study. Sci Rep. 2021; 11,18644. pmid:34545120
- 18. Chaabane S, Chaabna K, Bhagat S, Abraham A, Doraiswamy S, Mamtani R, et al. Perceived stress, stressors, and coping strategies among nursing students in the Middle East and North Africa: an overview of systematic reviews. Systematic reviews. 2021;10(1), 136. pmid:33952346
- 19. Albikawi ZF. Predictors of Anxiety, Depression, and Stress among Female University Nursing Students during the COVID-19 Pandemic: A Cross-Sectional Study in Saudi Arabia. Journal of personalized medicine. 2022; 12(11), 1887. pmid:36579619
- 20. Ozamiz-Etxebarria N, Idoiaga Mondragon N, Bueno-Notivol J, Pérez-Moreno M, Santabárbara J. Prevalence of Anxiety, Depression, and Stress among Teachers during the COVID-19 Pandemic: A Rapid Systematic Review with Meta-Analysis. Brain Sci. 2021; 11, 1172. pmid:34573192
- 21. Gebisa K, Sintayehu W, Daniel C, Tesfaye M. Work-related Stress and Associated Factors among Academic Staffs at the University of Gondar, Northwest Ethiopia: An Institution-based Cross-sectional Study. Ethiop J Health Sci. 2020;30(2):223 pmid:32165812
- 22. Okechukwu FO, Ogba KT, Nwufo JI. Ogba MO, Onyekachi BN, Nwanosike CI, et al. Academic stress and suicidal ideation: moderating roles of coping style and resilience. BMC Psychiatry, 2022; 22, 546. pmid:35962365
- 23. Fawzy M, Hamed SA. Prevalence of psychological stress, depression and anxiety among medical students in Egypt. Psychiatry Res. 2017; 255, 186–194. pmid:28575777
- 24. Hamaideh SH, Al-Modallal H, Tanash M, Hamdan-Mansour A. Depression, anxiety and stress among undergraduate students during COVID-19 outbreak and “home-quarantine” Nurs. Open. 2022; 9,1423–1431. pmid:33988913
- 25. Sakai M, Nakanishi M, Yu Z, Takagi G, Toshi K, Wakashima K, et al. Depression and anxiety among nursing students during the COVID-19 pandemic in Tohoku region, Japan: A cross-sectional survey. Jpn. J. Nurs. Sci. 2022; 19, e12483. pmid:35384284
- 26. Clayborne ZM, Colman I, Kingsbury M, Torvik FA, Gustavson K, Nilsen W. Prenatal work stress is associated with prenatal and postnatal depression and anxiety: findings from the Norwegian mother, father and child cohort study (MoBa). J. Affect. Disord. 2022; 298, 548–554. pmid:34774976
- 27. Huang C, Xie J, Owusua T, Chen Z, Wang J, Qin C, et al. Is psychological flexibility a mediator between perceived stress and general anxiety or depression among suspected patients of the 2019 coronavirus disease (COVID-19)? Pers. Individ. Differ. 2021; 183:111132. pmid:34305218
- 28. Levine SL, Milyavskaya M, Zuroff DC. Perfectionism in the transition to university: comparing diathesis-stress and downward spiral models of depressive symptoms. Clin. Psychol. Sci. 2019; 8, 52–64.
- 29. Pereira-Morales AJ, Adan A, Forero DA. Perceived stress as a mediator of the relationship between neuroticism and depression and anxiety symptoms. Curr. Psychol. 2019; 38, 66–74.
- 30. Xu W, Wang YZ, Fu ZF. The moderating role of dispositional mindfulness and locus of control in the impact of perceived stress on negative emotions in daily life. J. Psychol. Sci. 2018; 41, 749–754.
- 31. Hwang M, Hong J, Tai K, Chen J, Gouldthorp T. The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant LINE users, Government Information Quarterly. 2020; 37 (1). https://doi.org/10.1016/j.giq.2019.101423.
- 32. Xiao L, Amir AFB. Study on the Impact of Job Security on Job Performance and Anxiety Sensitivity of Grass-Roots Employees in High Star Hotels. International Journal of Neuropsychopharmacology. 2022; 25(Suppl 1), A3. https://doi.org/10.1093/ijnp/pyac032.003
- 33. Sun J. Sarfraz M, Ivascu L, Iqbal K, Mansoor A. How Did Work-Related Depression, Anxiety, and Stress Hamper Healthcare Employee Performance during COVID-19? The Mediating Role of Job Burnout and Mental Health. Int. J. Environ. Res. Public Health, 2022; 19, 10359. pmid:36011994