Influence of Socio-Demographic Factors on the Occupational Well-Being of Teachers and Nurses in the Tamale Metropolis
DOI:
https://doi.org/10.47941/jep.3463Keywords:
Burnout, Nurses, Teachers, Tamale Metropolis, Ghana, Socio-Demographic VariablesAbstract
Purpose: This research assessed the occupational well-being indicators of burnout, work engagement (WE) and career commitment (CC) among nurses and Senior High School (SHS) teachers in the Tamale Metropolis in Ghana and the effect of socio-demographic factors such as occupational type, gender and religious orientation or identity (being Christian, Muslim or Others) on the occupational well-being indicators.
Methodology: Three hundred and twenty-two (322) SHS teachers and nurses, selected through stratified random sampling, were administered questionnaires assessing burnout (exhaustion, cynicism and professional inefficacy), WE and CC.
Findings: Senior high school teachers and nurses generally reported high levels of burnout component (Exhaustion and cynicism), WE and CC. Score on the professional in-efficacy component of burnout was low which is consistent with the high scores on work engagement and career commitment. There were significant differences in levels of burnout (Exhaustion, Cynicism, professional inefficacy) among SHS teachers and nurses with nurses reporting higher. There was no significant difference in WE and CC among nurses and teachers. Females reported higher cynicism and professional inefficacy than males. There was also no significant difference in the levels of WE, CC and burnout among nurses and teachers with regards to religion.
Unique contribution to theory, practice and policy: The findings of the study brought to light the fact that burnout among nurses and SHS teachers in the Tamale metropolis is real and thus recommends that intervention efforts in terms of improving the working conditions of teachers and nurses aimed at reducing burnout and enhancing occupational well-being should be taken seriously by the Ministry of Health and the Ghana Education Service respectively with more focus on the nursing profession. The findings of the study also suggest that more intervention attention should be directed towards female teachers and nurses as they are more vulnerable.
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Abasimi, E.,Tika, S. A., & Gbeti, C. (2025). Socio-demographic factors associated with burnout among nurses and midwives in the Yendi Municipality of Northern Ghana. International Journal of Applied Psychology,15(3): 71-81, DOI: 10.5923/j.ijap.20251503.02
Adebayo, S. O., & Ezeanya, I. D. (2010). Effect of job autonomy, task identity and profession on burnout among health workers in Jos, Nigeria. European Journal of social sciences, 14(2), 116-122.
Adekola, B. (2012). Work burnout experience among University Non-Teaching Staff: Agender approach. International Journal of Academic Research and Business and Social Science, (1), 128-135.
Admi, H., Tzischinsky. O., Epstein, R., Herer, P., & Lavie, P. (2007). Shift work in Nursing: Is it really a risk factor for nurses’ health and patients’ safety? Nursing Economics, 26 (24), 250-257.
Alarcon, G. M. (2011). A Meta-analysis of burnout with Job demands, resources, and attitudes. Journal of Vocational Behaviour, 79, 549-562.
Antoniou, A. Ploumpi, A., & Ntalla, M. (2013). Occupational stress and professional burnout in teachers of primary and secondary education: The role of coping strategies., Psychology, 4, 3A.
Backović, D.V., Živojinović, J. I., Maksimović, J., & Maksimović, M. (2012). Gender differences in academic stress and burnout among medical students in final years of education. Psychiatria Danubina, 24 (2), 175- 181.
Bayani, A. A., Bagheri, H., & Bayani, A. (2013). Teacher self-esteem, self-efficacy and perception of school context as predictors of professional burnout. European Online Journal of Natural and Social Sciences, 2(2), pp-298.
Belkic, K. L., Landsbergis, P. A., Schnall, P. L., & Bakker, D. (2004). Is job strain a major source of cardiovascular disease risk? Scandinavian Journal of work Environment and Health, 30(2), 85-128
Blau, G. J. (1985). The measurement and prediction of career commitment. Journal Occupational Psychology, 58, 277−288.
Blau, G. (1988). Further exploring the meaning and measurement of career commitment. Journal of Vocational Behavior, 32, 284−297.
Carson, K., & Bedeian, A. (1994). Career commitment: Construction of a measure and examination of its psychometric properties. Journal of Vocational Behavior, 44 237–262.
Colman A. M. (2003). Oxford Dictionary of Psychology. New York: Oxford University Press Inc.
Cordes, C.L., & Dougherty, T.W. (1993). A Review and an integration of research on job burnout. Academy of Management Review, 1(4)621-656.
Doohan, H. (1982). Burnout: A Critical Issue for the 1980s. Journal of Religion and Health, 21, (4), 352-358.
Goulet, L.R., & Singh, P. (2002). Career commitment: A re-examination and a extension. Journal of Vocational Behavior 61, 73–91.
Ghumman, S., Ryan, A. M., Barclay, L. A., & Markel, K. S. (2013). Religious discrimination in the workplace: A review and examination of current and future trends. Journal of Business Psychology, 28, 439–454.
Halbesleben, J. R., & Demerouti, E. (2005). The construct validity of an alternative measure of burnout: Investigating the English translation of the Oldenburg Burnout Inventory. Work & Stress, 19(3), 208-220.
Héliot, Y., Gleibs, I.H., Coyle, A., Rousseau, D.M. & Rojon, C. (2020). Religious identity in the workplace: A systematic review, research agenda, and practical implications. Human Resource Management, 59:153–173
Jones, M., Zanko, M., & Kriflik, (2006). On the antecedents of career commitment. Australia and New Zealand Academy of Management, Rockhamton.
Kovacs, B. & Kezdy, A. (2008). Religious belief and burnout. European Journal of Mental Health, 3, 253-265.
Krejecie, R. V., & Morgan, D. W. (1970). Determining Sample Size for research activities. Educational and Psychological Measurements, 30 (3), 608.
Lynn, M. L., Naughton, M. J., & Vander Veen, S. (2010). Connecting religion and work: Patterns and influences of work-faith integration. Human Relations, 64, 675–701.
Maslach, C., & Goldberg, J. (1999). Prevention of burnout: New perspectives. Applied and Preventive Psychology, 7(1), 63-74.
Maslach, C., Jackson, S. E., Leiter, M. P., Schaufeli, W. B., & Schwab, R. L. (1986). Maslach burnout inventory, 21, 3463-3464). Palo Alto, CA: Consulting Psychologists Press
Maslach,C., & Leiter, M.P.(1997). The Truth about burnout. How organizations cause personal stress and what to do about it. San Francisco, CA: Jossey- Bass
Maslach, C., Schaufeli, W.B., & Leiter, M.P. (2001). Job burnout. Annual Review of Psychology, 2, 397-422.
Nunnally, J.C., & Bernstein, I.H. (1994). Psychometric Theory (3rd Edition). New York Mcgraw-Hill.
Olanrewaju, A. S., & Chineye, O. J. (2013). Gender differences in burnout among health workers in the Ekiti State University Teaching Hospital Ado-Ekiti. International Journal of Social and Behavioural Sciences, 1 (6), 112-121.
Opoku, D. A, Ayisi-Boateng, N. K, Mohammed, A., Sulemana, A., Gyamfi, A. O, Owusu, D. K, et al. (2023). Determinants of burnout among nurses and midwives at a tertiary hospital in Ghana: A cross-sectional study. Nursing Open. (2): 869-878.doi: 10.1002/nop2.1355.
Salari, N., Hosseinian-, A., Jalali, R. Vaisi-Raygani, A., Rasoulpoor, S., & Mohammadi, M., et al. (2020). Prevalence of stress, anxiety, depression among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. Global Health.;16(1):1–11. doi:10.1186/ s12992-020-00589-w
Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25, 293–315.
Schaufeli, W. B., & Bakker, A. B. (2004). Utrecht Work Engagement Scale: Preliminary Manual Version 1.1, Occupational Health Psychology Unit, Utrecht University.
Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-sectional study. Educational and Psychological Measurement, 66, (4), 701-716.
Schaufeli, W. B., Leiter, M. P., Maslach, C., & Jackson, S. E. (1996). Maslach Burnout Inventory–General Survey (MBI-GS). In C. Maslach, S. E. Jackson, & M. P. Leiter, MBI Manual (3rd Ed.). Mountain View, CA: CPP, Inc.
Schaufeli, W. B., Salanova, M., Gonzalez-Roma, V. & Bakker, A.B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3, 71-92.
Siegrist, J. (1996). Adverse health effects of high effort/low reward conditions. Journal of Occupational Health Psychology, 1, 27-41.
Sonnentag, S., & Fritz, C. (2007). The recovery experience questionnaire: Development and validation of a measure for assessing recuperation and unwinding from work. Journal of Occupational Health Psychology, 12(3), 204-221.
Tatala, M., Wojtasiński, M., Janowski, K., & Tużnik, P. (2025). Perceived stress and burnout in Nurses: The moderating role of age and network. Annals of Agricultural and Environmental Medicine, 32(1): 85–97. doi: 10.26444/aaem/19104
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