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MENTAL HEALTH AND EMPLOYEE PERFORMANCE
Mental health has emerged as a central factor influencing employee performance, engagement, and overall organisational effectiveness. The ability of an employee to focus, remain innovative, and give one hundred percent to assigned responsibilities depends heavily on his or her mental wellbeing (Adewale and Olatunji, 2022).
Research Objectives
The broad objective of this study is to examine the influence of mental health on employee performance among academic staff of the University of Benin. The specific objectives are to:
1. Examine the effect of anxiety on employee performance among academic staff of the University of Benin.
2. Explore the relationship between depression and employee performance among academic staff of the University of Benin.
3. Evaluate the effect of obsessive–compulsive disorder on employee performance among academic staff of the University of Benin.
4. Identify the relationship between work-related stress and employee performance among academic staff of the University of Benin.
Research Objectives
The broad objective of this study is to examine the influence of mental health on employee performance among academic staff of the University of Benin. The specific objectives are to:
1. Examine the effect of anxiety on employee performance among academic staff of the University of Benin.
2. Explore the relationship between depression and employee performance among academic staff of the University of Benin.
3. Evaluate the effect of obsessive–compulsive disorder on employee performance among academic staff of the University of Benin.
4. Identify the relationship between work-related stress and employee performance among academic staff of the University of Benin.
Occupational Stress and Job Satisfaction
In every modern organisation, productivity rises and falls on one silent factor: how employees feel at work. When pressure becomes overwhelming and support becomes insufficient, stress takes root, performance declines, and organisations lose their competitive edge. Understanding this reality is no longer optional—it's a strategic necessity. (Ngirande, 2021).
Research Objectives
The main objective of the study is to examine occupational stress and job satisfaction among academic staff of selected universities. Specific objectives of the study are to:
1. investigate the relationship between organisational stressors and job satisfaction among academic staff of the selected universities in Edo State;
2. examine the relationship between operational stressors and job satisfaction among academic staff of selected universities in Edo State;
3. ascertain the relationship between personal stressors and job satisfaction of academic staff of selected universities in Edo State; and
4. determine if external stressors significantly influence job satisfaction of academic staff of selected universities in Edo State.
Research Objectives
The main objective of the study is to examine occupational stress and job satisfaction among academic staff of selected universities. Specific objectives of the study are to:
1. investigate the relationship between organisational stressors and job satisfaction among academic staff of the selected universities in Edo State;
2. examine the relationship between operational stressors and job satisfaction among academic staff of selected universities in Edo State;
3. ascertain the relationship between personal stressors and job satisfaction of academic staff of selected universities in Edo State; and
4. determine if external stressors significantly influence job satisfaction of academic staff of selected universities in Edo State.
WORKFORCE DIVERSITY MANAGEMENT PRACTICES AND TURNOVER INTENTION
Organizations, including higher education institutions, consist of individuals with diverse gender, ethnic, cultural, age, and educational backgrounds. This diversity can strengthen performance by enhancing creativity and problem-solving. However, when poorly managed, it may result in communication challenges, discrimination, marginalization, and higher turnover intention, as noted by Shen and colleagues (2021).
Research Objectives
The main objective of this study is to examine the relationship between workforce diversity management practices and turnover intention among academic staff of selected universities in Edo State. The specific objectives are to:
1. Examine the relationship between recruitment and hiring practices and turnover intention among academic staff.
2. Investigate the influence of training and development on turnover intention among academic staff.
3. Determine the impact of inclusive leadership on turnover intention among academic staff.
4. Assess the relationship between communication practices and turnover intention among academic staff.
Research Objectives
The main objective of this study is to examine the relationship between workforce diversity management practices and turnover intention among academic staff of selected universities in Edo State. The specific objectives are to:
1. Examine the relationship between recruitment and hiring practices and turnover intention among academic staff.
2. Investigate the influence of training and development on turnover intention among academic staff.
3. Determine the impact of inclusive leadership on turnover intention among academic staff.
4. Assess the relationship between communication practices and turnover intention among academic staff.
MENTAL HEALTH AND EMPLOYEE PERFORMANCE
According to Adewale and Olatunji (2022), mental health refers to a state of internal equilibrium that allows individuals to cope with life’s challenges, maintain productive relationships, and make meaningful contributions to their environment. Eze and Omoruyi (2021) describe it as the psychological capacity that underpins emotional control, resilience, and adaptive behaviour in demanding circumstances.
Occupational Stress and Job Satisfaction
Occupational stress refers to the psychological and physiological strain individuals experience when job demands exceed their capacity, resources, or ability to cope. According to Oluwafemi Adekeye, Chiamaka Eze, and Ibrahim Yusuf (2021), occupational stress emerges when employees perceive workplace pressures as overwhelming, leading to emotional exhaustion, reduced productivity, and declining job satisfaction.
WORKFORCE DIVERSITY MANAGEMENT PRACTICES AND TURNOVER INTENTION
Workforce diversity refers to the presence of differences among employees in terms of demographic attributes, cultural backgrounds, values, beliefs, experiences, and perspectives. These differences may be visible such as age, gender, ethnicity, and physical ability, or invisible, such as educational background, religion, socio-economic status, personality, and cognitive styles (Shen, Chanda, D’Netto, & Monga, 2021). Workforce diversity is recognized for its potential to enhance creativity, innovation, and decision-making in dynamic work environments.
MENTAL HEALTH AND EMPLOYEE PERFORMANCE
Chapter Three presents the methodological framework for investigating the effect of mental health on employee performance at the University of Benin. The study adopts a survey research design with a cross-sectional approach, enabling the collection of data at a single point in time to examine the relationship between mental health dimensions and employee performance.
The study population consists of 162 academic staff members across selected departments, and a sample size of 115 respondents was determined using Taro Yamane’s formula. A stratified random sampling technique ensures fair representation across departments.
Mental health variables including anxiety, depression, obsessive compulsive disorder and work-related stress as well as employee performance were operationalised using a structured, researcher-designed questionnaire measured on a 5-point Likert scale. The instrument includes demographic items and variable-specific questions.
Primary data serve as the source of information, collected directly from respondents. The study applies descriptive statistics such as frequencies and means along with inferential statistics including correlation and multiple regression using SPSS version 25 to analyse responses and test hypotheses.
The model specification applies Ordinary Least Squares (OLS) to estimate the effect of mental health variables on employee performance, expressed as: EP = f(AX, DP, OCD, WRS), where each mental health factor is expected to have a negative influence on employee performance based on the apriori assumptions.
The study population consists of 162 academic staff members across selected departments, and a sample size of 115 respondents was determined using Taro Yamane’s formula. A stratified random sampling technique ensures fair representation across departments.
Mental health variables including anxiety, depression, obsessive compulsive disorder and work-related stress as well as employee performance were operationalised using a structured, researcher-designed questionnaire measured on a 5-point Likert scale. The instrument includes demographic items and variable-specific questions.
Primary data serve as the source of information, collected directly from respondents. The study applies descriptive statistics such as frequencies and means along with inferential statistics including correlation and multiple regression using SPSS version 25 to analyse responses and test hypotheses.
The model specification applies Ordinary Least Squares (OLS) to estimate the effect of mental health variables on employee performance, expressed as: EP = f(AX, DP, OCD, WRS), where each mental health factor is expected to have a negative influence on employee performance based on the apriori assumptions.
Occupational Stress and Job Satisfaction
Chapter Three presents the methodology adopted to examine the effect of occupational stress on job satisfaction among academic staff in selected universities in Edo State. The study employs a cross-sectional survey design, allowing data to be collected at one point in time to determine how different dimensions of stress relate to job satisfaction.
The study population consists of 4,145 academic staff drawn from the University of Benin, Ambrose Alli University, and Benson Idahosa University. Using Yamane’s formula, a sample size of 365 respondents was derived and proportionately distributed across the institutions. A simple random sampling technique ensured equal selection opportunity for all academic staff.
Key variables include organisational, operational, personal, and external stressors, alongside job satisfaction. These were measured using a structured, researcher-designed questionnaire based on a 5-point Likert scale. The instrument also captured respondents’ demographic characteristics.
Primary data were collected through direct questionnaire administration. Descriptive statistics such as frequencies, percentages, and mean scores were used to summarise the data, while inferential analysis, particularly multiple regression, was conducted using SPSS version 20 to test the hypotheses and determine the predictive strength of the stress variables.
The model employs the Ordinary Least Squares (OLS) technique to estimate outcomes and is expressed as: JS = f(OS, OPS, PS, ES). Each stress dimension is theoretically expected to exert a negative effect on job satisfaction.
The study population consists of 4,145 academic staff drawn from the University of Benin, Ambrose Alli University, and Benson Idahosa University. Using Yamane’s formula, a sample size of 365 respondents was derived and proportionately distributed across the institutions. A simple random sampling technique ensured equal selection opportunity for all academic staff.
Key variables include organisational, operational, personal, and external stressors, alongside job satisfaction. These were measured using a structured, researcher-designed questionnaire based on a 5-point Likert scale. The instrument also captured respondents’ demographic characteristics.
Primary data were collected through direct questionnaire administration. Descriptive statistics such as frequencies, percentages, and mean scores were used to summarise the data, while inferential analysis, particularly multiple regression, was conducted using SPSS version 20 to test the hypotheses and determine the predictive strength of the stress variables.
The model employs the Ordinary Least Squares (OLS) technique to estimate outcomes and is expressed as: JS = f(OS, OPS, PS, ES). Each stress dimension is theoretically expected to exert a negative effect on job satisfaction.
WORKFORCE DIVERSITY MANAGEMENT PRACTICES AND TURNOVER INTENTION
This study adopts a descriptive survey design to examine the relationship between workforce diversity management practices and turnover intention among academic staff in selected universities in Edo State. The design enables the collection of quantitative data without manipulating variables.
The study population consists of 3,982 academic staff from the University of Benin (1,826), Ambrose Alli University (1,521), and Benson Idahosa University (635). Using Yamane’s formula at a 95% confidence level, a sample size of 363 was determined and proportionately allocated as follows: UNIBEN (166), AAU (139), and BIU (58). A stratified random sampling technique was used to ensure fair representation.
Primary data were gathered through a structured questionnaire consisting of demographic items, diversity management practices—recruitment and hiring, training and development, inclusive leadership, and communication—and turnover intention. All items were measured on a 5-point Likert scale. Reliability was established through a pilot test with 30 academic staff, producing acceptable Cronbach’s Alpha values. D
ata were collected physically and electronically over a two-week period. Analysis was conducted using SPSS version 25, employing descriptive statistics, Pearson correlation, and multiple regression at a 0.05 significance level.
Turnover intention is modelled as a function of workforce diversity management practices: TIᵢ = β₀ + β₁RHPᵢ + β₂TDᵢ + β₃ILᵢ + β₄COMᵢ + eᵢ. All coefficients are expected to be negative, indicating reduced turnover intention with effective diversity practices.
The study population consists of 3,982 academic staff from the University of Benin (1,826), Ambrose Alli University (1,521), and Benson Idahosa University (635). Using Yamane’s formula at a 95% confidence level, a sample size of 363 was determined and proportionately allocated as follows: UNIBEN (166), AAU (139), and BIU (58). A stratified random sampling technique was used to ensure fair representation.
Primary data were gathered through a structured questionnaire consisting of demographic items, diversity management practices—recruitment and hiring, training and development, inclusive leadership, and communication—and turnover intention. All items were measured on a 5-point Likert scale. Reliability was established through a pilot test with 30 academic staff, producing acceptable Cronbach’s Alpha values. D
ata were collected physically and electronically over a two-week period. Analysis was conducted using SPSS version 25, employing descriptive statistics, Pearson correlation, and multiple regression at a 0.05 significance level.
Turnover intention is modelled as a function of workforce diversity management practices: TIᵢ = β₀ + β₁RHPᵢ + β₂TDᵢ + β₃ILᵢ + β₄COMᵢ + eᵢ. All coefficients are expected to be negative, indicating reduced turnover intention with effective diversity practices.
MENTAL HEALTH AND EMPLOYEE PERFORMANCE
Discussion of Findings
This study examined the influence of mental health dimensions on employee performance among academic staff of the University of Benin. The independent variables were Anxiety, Depression, Obsessive–Compulsive Disorder (OCD), and Work-Related Stress, while Employee Performance served as the dependent variable.
The regression model produced an R value of 0.834 and an R² of 0.696 (Adjusted R² = 0.685), indicating that the predictors collectively explain about 69.6% of the variation in employee performance. This means that the dimensions of mental health have a strong explanatory power on employee performance, showing that variations in employees’ mental health status significantly affect their overall work performance.
The ANOVA result (F = 62.950, p = 0.000) further indicates that the overall model is statistically significant at the 5% level. This confirms that, taken together, the four mental health dimensions significantly predict changes in employee performance among academic staff of the University of Benin. The result therefore establishes that the explanatory variables jointly make a meaningful contribution to explaining variations in performance levels.
The Durbin–Watson statistic of 2.110, which is approximately equal to 2.0, suggests that there is no autocorrelation among the residuals. This indicates that the regression model is statistically sound and that the residuals are independent, supporting the reliability and validity of the regression estimates obtained in this study.
Test of Hypotheses
Anxiety significantly and negatively affects Employee Performance (p = 0.000 < 0.05; t = −5.316).
Depression significantly and negatively affects Employee Performance (p = 0.000 < 0.05; t = −4.972).
OCD has a significant negative influence on Employee Performance (p = 0.000 < 0.05; t = −5.918).
Work-Related Stress significantly and negatively affects Employee Performance (p = 0.000 < 0.05; t = −5.544).
Occupational Stress and Job Satisfaction
Discussion of Findings
This study examined the influence of organisational, operational, personal, and external stressors on Job Satisfaction (JS) among academic staff in selected tertiary institutions in Edo State. The regression model produced an R value of 0.608 and an R² of 0.369 (Adjusted R² = 0.362), indicating that the four stressor dimensions collectively explain about 36.9% of the variation in job satisfaction. This shows that stressor variables have a moderate explanatory power and meaningfully influence employees’ perceived job satisfaction.
The ANOVA result (F = 47.574, p = 0.000) confirms that the overall model is statistically significant at the 5% level, indicating that organisational, operational, personal, and external stressors jointly predict changes in job satisfaction among academic staff in Edo State tertiary institutions. The model therefore provides evidence that stress-related factors contribute significantly to variations in job satisfaction outcomes.
The Durbin–Watson statistic of 2.004, being approximately equal to 2.0, indicates no autocorrelation among the residuals. This supports the reliability and statistical soundness of the model used to estimate the effects of the stressor dimensions on job satisfaction.
Test of Hypotheses
Organisational Stressors (OGS) have a significant negative impact on Job Satisfaction. p = 0.005 t = −2.840 > 2.
Operational Stressors (OPS) have a significant negative impact on Job Satisfaction. p = 0.002; t = −3.132 > 2.
Personal Stressors (PS) have no significant influence on Job Satisfaction. p = 0.261 > 0.05; t = −1.125 < 2.
External Stressors (ES) have no significant effect on Job Satisfaction. p = 0.140 > 0.05; t = −1.479 < 2.
WORKFORCE DIVERSITY MANAGEMENT PRACTICES AND TURNOVER INTENTION
Discussion of Findings
This study examined the influence of workforce diversity management practices on turnover intention among academic staff in selected tertiary institutions in Edo State. The independent variables were Recruitment and Hiring Practices, Training and Development, Inclusive Leadership, and Communication, while Turnover Intention served as the dependent variable.
The regression model produced an R value of 0.758 and an R² of 0.575 (Adjusted R² = 0.570), indicating that the predictors collectively explain about 57.5% of the variation in turnover intention. This shows that diversity management practices have strong explanatory power in determining employees’ intention to leave, meaning that variations in recruitment fairness, developmental opportunities, leadership inclusiveness, and communication quality significantly influence turnover behaviour.
The ANOVA result (F = 121.055, p = 0.000) further indicates that the overall model is statistically significant at the 5% level. This confirms that the four diversity management components jointly and significantly predict changes in turnover intention among academic staff. The result therefore establishes that the explanatory variables make a meaningful collective contribution to understanding why employees consider leaving their institutions.
The Durbin–Watson statistic of 1.817, which is close to 2.0, suggests that there is no autocorrelation among the residuals. This indicates that the regression model is statistically sound, and the residuals are independent, supporting the reliability and validity of the regression estimates obtained in this study.
Test of Hypotheses
Recruitment and Hiring Practices have a significant negative effect on Turnover Intention. The p-value of 0.000 was less than 0.05 (p = 0.000 < 0.05; t = –10.915).
Training and Development has a significant negative effect on Turnover Intention. The p-value of 0.000 was less than 0.05 (p = 0.000 < 0.05; t = –11.094).
Inclusive Leadership has a significant negative impact on Turnover Intention. The p-value of 0.000 was less than 0.05 (p = 0.000 < 0.05; t = –12.249).
Communication has a significant negative influence on Turnover Intention. The p-value of 0.000 was less than 0.05 (p = 0.000 < 0.05; t = –7.814).
MENTAL HEALTH AND EMPLOYEE PERFORMANCE
This study examined how mental health conditions influence employee performance among academic staff of the University of Benin. The investigation focused on four psychological factors: anxiety, depression, obsessive compulsive disorder, and work-related stress, and assessed their individual and combined impact on performance outcomes. Using descriptive and inferential analyses, the study provided empirical insight into how mental health challenges shape employees’ ability to remain productive, focused, and efficient within an academic environment.
The results showed that each mental health dimension had a significant negative effect on employee performance. Anxiety reduced concentration and task completion; depression lowered motivation and work engagement; obsessive compulsive tendencies slowed performance through excessive checking and perfectionism; and work-related stress exerted the strongest negative influence by overwhelming staff with heavy workloads and deadlines. Together, these variables explained 69.6 percent of the variance in employee performance, and the overall regression model was statistically significant, indicating a strong collective impact of mental health on work outcomes.
Based on these findings, the study recommends that the University of Benin prioritise mental health support for staff through counseling services, stress management programmes, balanced workload policies, and institutional initiatives that promote emotional wellbeing. Addressing anxiety, depression, obsessive behaviours, and stress will enhance staff productivity, improve work morale, and strengthen overall organisational effectiveness.
Occupational Stress and Job Satisfaction
This study investigated how different categories of workplace stressors influence job satisfaction among academic staff in selected tertiary institutions in Edo State.
The results revealed that organisational and operational stressors had significant negative effects on job satisfaction. Organisational stressors such as unclear expectations, policy inconsistency, limited recognition, and poor communication were found to reduce satisfaction levels among staff. Operational stressors including insufficient technological support and inefficient administrative systems also significantly lowered job satisfaction. Personal stressors and external stressors showed negative but statistically insignificant relationships with job satisfaction, indicating that although staff experience these pressures, they do not strongly predict satisfaction when compared with institutional factors. The regression model showed that the four stressor dimensions jointly explained 36.9 percent of the variation in job satisfaction, and the overall model was statistically significant.
Based on these findings, the study recommends that management reduce organisational stressors by improving communication, stabilising policies, and recognising employee contributions. Operational efficiency should be strengthened by providing adequate technological tools and improving administrative processes. Management should also support employees experiencing personal pressures through welfare schemes and counselling services, while adopting flexible strategies to ease the burden of external stressors. Implementing these measures will help improve job satisfaction, strengthen morale, and enhance productivity within tertiary institutions.
WORKFORCE DIVERSITY MANAGEMENT PRACTICES AND TURNOVER INTENTION
This study examined how Workforce Diversity Management Practices, specifically Recruitment and Hiring Practices (RHP), Training and Development (TD), Inclusive Leadership (IL), and Communication (COM), shape Turnover Intention (TI) among academic staff of the University of Benin. Using descriptive and inferential analyses, the study assessed how these organisational practices influence staff decisions to remain within or exit the institution.
The results showed that all four diversity-related practices significantly and negatively predicted turnover intention. Fair and transparent recruitment processes (RHP) reduced employees’ desire to leave. Meaningful professional development opportunities (TD) strengthened organisational attachment. Inclusive and participatory leadership behaviours (IL) appeared as the strongest retention factor. Clear and timely institutional communication (COM) lowered uncertainty and dissatisfaction. Collectively, the predictors explained 57.5% of the variance in turnover intention, and the regression model was statistically significant, with diagnostic checks confirming reliability, acceptable residual behaviour, and absence of multicollinearity or autocorrelation.
Based on these findings, the study recommends that the University of Benin strengthen merit-based recruitment frameworks, expand staff development programs, promote inclusive leadership standards, and enhance internal communication systems. Prioritising these organisational practices will reduce turnover intention, deepen employee commitment, and support a more stable and productive academic workforce.
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