Impact of Personality Traits and Socio-Demographic Factors on Depression among Doctors and Nurses

Authors

  • Thapasya Maya Heriot-Watt University

DOI:

https://doi.org/10.18034/abcjar.v11i1.602

Keywords:

HEXACO Personality Traits, Socio-demographic Factors, Depression Severity

Abstract

The workplace is not immune to conflict and stress, specifically when fulfilling people's responsibilities at great personal costs. Doctors and nurses are always on the frontline in hospitals, vaulting from one stressful high-stakes situation to the next. The HEXACO model of personality traits: Honesty-humility, Emotionality, Extraversion, Agreeableness, Conscientiousness, and Openness, has long been hypothesized to be a major predicting factor when determining individuals' responses to stress and susceptibility to experiencing depression. Most research suggests that personality traits resonate with a person's cognitive abilities and how they can deal with stress and depression. However, there is a lack of research on their correlation to depression severity in the Middle East. The current study aimed to investigate the impact of HEXACO personality traits and socio-demographic factors on depression amongst doctors and nurses. A sample of 170 doctors and nurses (62.1% doctors) completed HEXACO-60 and PHQ-9 depression severity questionnaires. The data were analyzed through descriptive statistics, independent samples t-test, ANOVA, correlation, and regression analysis. The findings showed that Honesty-humility was the strongest predictor, while extraversion was the second strongest. Emotionality had the least impact on depression. The relationship between Agreeableness and Openness to Experience with depression was insignificant. However, gender, age, working hours, and work experience were significant predictors of depression. Marital status and level of specialization were insignificant predictors. Thus, it was concluded that not all HEXACO traits and socio-demographics predict depression. Study findings could be utilized in the implementation of employee recruitment, job crafting, positive psychology, and coaching.

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Author Biography

  • Thapasya Maya, Heriot-Watt University

    Department of Psychology, Heriot-Watt University, Al Sufouh, Knowledge Park, Dubai, UNITED ARAB EMIRATES

References

Abraham, A., Chaabna, K., Doraiswamy, S., Bhagat, S., Sheikh, J., Mamtani, R., & Cheema, S. (2021). Depression among healthcare workers in the Eastern Mediterranean Region: a systematic review and meta-analysis. Human resources for health, 19(1), 1-18. https://doi.org/10.1186/s12960-021-00628-6

Aghababaei, N., & Arji, A. (2014). Well-being and the HEXACO model of personality. Personality and Individual Differences, 56, 139-142.

Al Khatib, S. A. (2013). Satisfaction with life, self-esteem, gender and marital status as predictors of depressive symptoms among United Arab Emirates college students. International Journal of Psychology and Counselling, 5(3), 53-61.

Anderson, J. E., Michalak, E. E., & Lam, R. W. (2002). Depression in primary care: Tools for screening, diagnosis, and measuring response to treatment. British Columbia Medical Journal, 44(8), 415-419. https://bcmj.org/articles/depression-primary-care-tools-screening-diagnosis-and-measuring-response-treatment

Anglim, J., & O’connor, P. (2019). Measurement and research using the Big Five, HEXACO, and narrow traits: A primer for researchers and practitioners. Australian Journal of Psychology, 71(1), 16-25.

Awan, A. B. I. (2019). Relationship between the demographic variables and prevalence of depression among the university students. Biomedical Journal of Scientific & Technical Research, 17(4), 12959-12961. http://dx.doi.org/10.26717/BJSTR.2019.17.003031

Barford, K. A., Zhao, K., & Smillie, L. D. (2015). Mapping the interpersonal domain: Translating between the Big Five, HEXACO, and Interpersonal Circumplex. Personality and Individual Differences, 86, 232-237.

Bartley, C. E., & Roesch, S. C. (2011). Coping with daily stress: The role of conscientiousness. Personality and individual differences, 50(1), 79-83. https://dx.doi.org/10.1016%2Fj.paid.2010.08.027

Basias, N., & Pollalis, Y. (2018). Quantitative and qualitative research in business & technology: Justifying a suitable research methodology. Review of Integrative Business and Economics Research, 7, 91-105. https://sibresearch.org/uploads/3/4/0/9/34097180/riber_7-s1_sp_h17-083_91-105.pdf

Ceschi, A., Sartori, R., Dickert, S., & Costantini, A. (2016). Grit or honesty-humility? New insights into the moderating role of personality between the health impairment process and counterproductive work behavior. Frontiers in psychology, 7, 1799. https://doi.org/10.3389/fpsyg.2016.01799

Dan, Y., Ahmed, A.A.A., Chupradit, S., Chupradit, P.W., Nassani, A.A. and Haffar, M. (2021). The Nexus between the Big Five Personality Traits Model of the Digital Economy and Blockchain Technology Influencing Organization Psychology. Frontiers in Psychology, 12(780527), 1-12. https://doi.org/10.3389/fpsyg.2021.780527

De Menil, V., Osei, A., Douptcheva, N., Hill, A. G., Yaro, P., & Aikins, A. D. G. (2012). Symptoms of common mental disorders and their correlates among women in Accra, Ghana: A population-based survey. Ghana medical journal, 46(2), 95-103.

Deyoung, C. G., Quilty, L. C., Peterson, J. B., & Gray, J. R. (2014). Openness to experience, intellect, and cognitive ability. Journal of Personality Assessment, 96(1), 46–52. https://doi.org/10.1080/00223891.2013.806327

Elbay, R. Y., Kurtulmuş, A., Arpacıoğlu, S., & Karadere, E. (2020). Depression, anxiety, stress levels of physicians and associated factors in Covid-19 pandemics. Psychiatry research, 290, 113130. https://dx.doi.org/10.1016%2Fj.psychres.2020.113130

FCSA, (2019). Federal Competitiveness & Statistics Authority. https://fcsc.gov.ae/en-us

Fleeson, W., & Jayawickreme, E. (2015). Whole trait theory. Journal of research in personality, 56, 82-92. https://doi.org/10.1016/j.jrp.2014.10.009

George, D., & Mallery, M. (2003). Using SPSS for Windows step by step: a simple guide and reference.

Gong, Y., Han, T., Yin, X., Yang, G., Zhuang, R., Chen, Y., & Lu, Z. (2014). Prevalence of depressive symptoms and work-related risk factors among nurses in public hospitals in southern China: A cross-sectional study. Scientific reports, 4(1), 1-5.

Gramstad, T. O., Gjestad, R., & Haver, B. (2013). Personality traits predict job stress, depression and anxiety among junior physicians. BMC medical education, 13(1), 1-9. http://www.biomedcentral.com/1472-6920/13/150

Gubler, D. A., Makowski, L. M., Troche, S. J., & Schlegel, K. (2021). Loneliness and well-being during the Covid-19 pandemic: Associations with personality and emotion regulation. Journal of happiness studies, 22(5), 2323-2342. https://doi.org/10.1007/s10902-020-00326-5

Hakulinen, C., Elovainio, M., Pulkki‐Råback, L., Virtanen, M., Kivimäki, M., & Jokela, M. (2015). Personality and depressive symptoms: Individual participant meta‐analysis of 10 cohort studies. Depression and anxiety, 32(7), 461-470. https://doi.org/10.1002/da.22376

Hossen, M. A., Zahir, E., Ata-E-Rabbi, H. M., Azam, M. A., and Rahman, M. H. (2021). Developing a Mobile Automated Medical Assistant for Hospitals in Bangladesh. 2021 IEEE World AI IoT Congress (AIIoT), 0366-0372, https://doi.org/10.1109/AIIoT52608.2021.9454236

Hubbard, G., den Daas, C., Johnston, M., & Dixon, D. (2021). Sociodemographic and psychological risk factors for anxiety and depression: findings from the Covid-19 health and adherence research in Scotland on mental health (CHARIS-MH) cross-sectional survey. International journal of behavioral medicine, 1-13. https://doi.org/10.1007/s12529-021-09967-z

Hughes, J. L., Camden, A. A., & Yangchen, T. (2016). Rethinking and updating demographic questions: Guidance to improve descriptions of research samples. Psi Chi Journal of Psychological Research, 21(3), 138-151.

Islam, M. R., & Adnan, R. (2017). Socio-Demographic Factors and Their Correlation with the Severity of Major Depressive Disorder: A Population Based Study. World Journal of Neuroscience, 7(02), 193. https://doi.org/10.4236/wjns.2017.72014

Johnson, M. K., Rowatt, W. C., & Petrini, L. (2011). A new trait on the market: Honesty-Humility as a unique predictor of job performance ratings. Personality and Individual Differences, 50(6), 857–862. https://doi.org/10.1016/j.paid.2011.01.011

Khazanov, G. K., & Ruscio, A. M. (2016). Is low positive emotionality a specific risk factor for depression? A meta-analysis of longitudinal studies. Psychological bulletin, 142(9), 991.

Kim, M. S., Kim, T., Lee, D., Yook, J. H., Hong, Y. C., Lee, S. Y., ... & Kang, M. Y. (2018). Mental disorders among workers in the healthcare industry: 2014 national health insurance data. Annals of occupational and environmental medicine, 30(1), 1-8.

Kim, S. E., Kim, H. N., Cho, J., Kwon, M. J., Chang, Y., Ryu, S., ... & Kim, H. L. (2016). Direct and indirect effects of five factor personality and gender on depressive symptoms mediated by perceived stress. PloS one, 11(4), e0154140. https://doi.org/10.1371/journal.pone.0154140

Koinis, A., Giannou, V., Drantaki, V., Angelaina, S., Stratou, E., & Saridi, M. (2015). The impact of healthcare workers job environment on their mental-emotional health. Coping strategies: the case of a local general hospital. Health psychology research, 3(1).

Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9. Journal of General Internal Medicine, 16(9), 606–613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x

Lee, K., & Ashton, M. C. (2004). Psychometric properties of the HEXACO personality inventory. Multivariate behavioral research, 39(2), 329-358. https://doi.org/10.1207/s15327906mbr3902_8

Lee, K., & Ashton, M. C. (2020). Encyclopedia of Personality and Individual Differences. Encyclopedia of Personality and Individual Differences, 1–6. https://doi.org/10.1007/978-3-319-28099-8

Leszko, M., Iwański, R., & Jarzębińska, A. (2020). The relationship between personality traits and coping styles among first-time and recurrent prisoners in Poland. Frontiers in psychology, 10, 2969. https://doi.org/10.3389/fpsyg.2019.02969

Levine, D. S., Sripada, R. K., Ganoczy, D., Walters, H., Gorman, L. A., & Valenstein, M. (2016). Poorer physical health is associated with greater mental health service utilization in a sample of depressed US Army National Guard soldiers. Military medicine, 181(8), 803-810.

Liebenberg, A. R., Coetzee, J. F. J., Conradie, H. H., & Coetzee, J. F. (2018). Burnout among rural hospital doctors in the Western Cape: Comparison with previous South African studies. African journal of primary health care & family medicine, 10(1), 1-7. http://dx.doi.org/10.4102/phcfm.v10i1.1568

Lukaszewski, A. (2020). Encyclopedia of Personality and Individual Differences. In V. Zeigler-Hill & T. K. Shackelford (Eds.), Encyclopedia of Personality and Individual Differences (Issue November). Springer International Publishing. https://doi.org/10.1007/978-3-319-28099-8

Lyubomirsky, S., Layous, K., Chancellor, J., & Nelson, S. K. (2015). Thinking about rumination: The scholarly contributions and intellectual legacy of Susan Nolen-Hoeksema. Annual review of clinical psychology, 11, 1-22.

Maharaj, S. (2020). Stress, Anxiety, and Depression: Prevalence and Associations to Electroencephalography and Cognitive Performance in Healthcare Professionals (Doctoral dissertation).

Manavalan, M. (2021). Molecular Generators and Optimizers Failure Modes. Malaysian Journal of Medical and Biological Research, 8(2), 53-62. https://doi.org/10.18034/mjmbr.v8i2.583

McKay, D. A., & Tokar, D. M. (2012). The HEXACO and five-factor models of personality in relation to RIASEC vocational interests. Journal of Vocational Behavior, 81(2), 138–149. https://doi.org/10.1016/j.jvb.2012.05.006

Milanović, Z., Pantelić, S., Trajković, N., Sporiš, G., Kostić, R., & James, N. (2013). Age-related decrease in physical activity and functional fitness among elderly men and women. Clinical interventions in aging, 8, 549-556.

Mongrain, M., Barnes, C., Barnhart, R., & Zalan, L. B. (2018). Acts of kindness reduce depression in individuals low on agreeableness. Translational Issues in Psychological Science, 4(3), 323-334. https://www.researchgate.net/deref/http%3A%2F%2Fdx.doi.org%2F10.1037%2Ftps0000168

Nolen-Hoeksema, S. (1987). Sex differences in unipolar depression: evidence and theory. Psychological bulletin, 101(2), 259.

Ogawa, R., Seo, E., Maeno, T., Ito, M., Sanuki, M., & Maeno, T. (2018). The relationship between long working hours and depression among first-year residents in Japan. BMC medical education, 18(1), 1-8. https://doi.org/10.1186/s12909-018-1171-9

Parent-Lamarche, A., & Marchand, A. (2019). Work and depression: The moderating role of personality traits. Journal of Workplace Behavioral Health, 34(3), 219-239. https://doi.org/10.1080/15555240.2019.1614455

Paz, C., Mascialino, G., Adana-Díaz, L., Rodríguez-Lorenzana, A., Simbaña-Rivera, K., Gómez-Barreno, L., ... & Ortiz-Prado, E. (2020). Behavioral and sociodemographic predictors of anxiety and depression in patients under epidemiological surveillance for COVID-19 in Ecuador. PLoS One, 15(9), e0240008.

Prentice, M., Jayawickreme, E., & Fleeson, W. (2019). Integrating whole trait theory and self‐determination theory. Journal of personality, 87(1), 56-69. https://doi.org/10.1111/jopy.12417

Qualtrics, Provo, UT, USA. https://www.qualtrics.com

Ragi, S., Rahman, M. H., Duckworth, J., Kalimuthu, J., Chundi P. and Gadhamshetty, V. (2021). Artificial Intelligence-driven Image Analysis of Bacterial Cells and Biofilms. ACM Transactions on Computational Biology and Bioinformatics, https://doi.org/10.1109/TCBB.2021.3138304

Rahman, M. M., Chowdhury, M. R. H. K., Islam, M. A., Tohfa, M. U., Kader, M. A. L., Ahmed, A. A. A., & Donepudi, P. K. (2020). Relationship between Socio-Demographic Characteristics and Job Satisfaction: Evidence from Private Bank Employees. American Journal of Trade and Policy, 7(2), 65-72. https://doi.org/10.18034/ajtp.v7i2.492

Razzak, H. A., Harbi, A., & Ahli, S. (2019). Depression: prevalence and associated risk factors in the United Arab Emirates. Oman medical journal, 34(4), 274.

Roberts, B. W., Lejuez, C., Krueger, R. F., Richards, J. M., & Hill, P. L. (2014). What is conscientiousness and how can it be assessed? Developmental Psychology, 50(5), 1315–1330. https://doi.org/10.1037/a0031109

Saucier, G., & Ostendorf, F. (1999). Hierarchical subcomponents of the Big Five personality factors: A cross-language replication. Journal of Personality and Social Psychology, 76(4), 613-627.

Schaakxs, R., Comijs, H. C., Lamers, F., Kok, R. M., Beekman, A. T., & Penninx, B. W. (2018). Associations between age and the course of major depressive disorder: a 2-year longitudinal cohort study. The Lancet Psychiatry, 5(7), 581-590. https://doi.org/10.1016/S2215-0366(18)30166-4

Sjöberg, L., Karlsson, B., Atti, A. R., Skoog, I., Fratiglioni, L., & Wang, H. X. (2017). Prevalence of depression: Comparisons of different depression definitions in population-based samples of older adults. Journal of affective disorders, 221, 123-131.

Soto, C. J., Kronauer, A., & Liang, J. K. (2015). Five-Factor Model of Personality. The Encyclopedia of Adulthood and Aging, 2(December 2015), 1–5. https://doi.org/10.1002/9781118521373.wbeaa014

St John, P. D., & Montgomery, P. R. (2009). Marital status, partner satisfaction, and depressive symptoms in older men and women. The Canadian Journal of Psychiatry, 54(7), 487-492.

Stander, M. P., Korb, F. A., de Necker, M., de Beer, J. C., Miller-Janson, H. E., & Moont, R. (2016). Depression and the Impact on Productivity in the Workplace: Findings from a South African Survey on Depression in the Workplace. J Depress Anxiety, 2(12), 1-8. http://dx.doi.org/10.4172/2167-1044.S2-012

Steele, J. R. (2017). Honesty-Humility as a Predictor of Wellness and Resiliency (Doctoral dissertation, Regent University).

Sun, J. W., Bai, H. Y., Li, J. H., Lin, P. Z., Zhang, H. H., & Cao, F. L. (2017). Predictors of occupational burnout among nurses: a dominance analysis of job stressors. Journal of clinical Nursing, 26(23-24), 4286-4292. https://doi.org/10.1111/jocn.13754

Tomás, M. T., Galán-Mercant, A., Carnero, E. A., & Fernandes, B. (2018). Functional capacity and levels of physical activity in aging: a 3-year follow-up. Frontiers in medicine, 4, 244. https://doi.org/10.3389/fmed.2017.00244

Trull, T. J., Useda, J. D., Costa Jr, P. T., & McCrae, R. R. (1995). Comparison of the MMPI-2 Personality Psychopathology Five (PSY-5), the NEO-PI, and the NEO-PI—R. Psychological Assessment, 7(4), 508.

van der Veen, D. C., van Dijk, S. D., Comijs, H. C., van Zelst, W. H., Schoevers, R. A., & Oude Voshaar, R. C. (2017). The importance of personality and life-events in anxious depression: from trait to state anxiety. Aging & mental health, 21(11), 1177-1183.

Wang, H., Naghavi, M., Allen, C., Barber, R. M., Bhutta, Z. A., Carter, A., ... & Bell, M. L. (2016). Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. The lancet, 388(10053), 1459-1544.

Weiss Wiesel, T. R., Nelson, C. J., Tew, W. P., Hardt, M., Mohile, S. G., Owusu, C., ... & Cancer Aging Research Group (CARG). (2015). The relationship between age, anxiety, and depression in older adults with cancer. Psycho‐Oncology, 24(6), 712-717.

Williams, A. L., Parks, A. C., Cormier, G., Stafford, J., & Whillans, A. (2018). Improving resilience among employees high in depression, anxiety, and workplace distress. Int J Manag Res, 9(1-2), 4-22.

Wright, F., O’Leary, J., & Balkin, J. (1989). Shame, Guilt, Narcissism, and Depression: Correlates and Sex Differences. Psychoanalytic Psychology, 6(2), 217-230.

Yunus, W. M. A. W. M., Musiat, P., & Brown, J. S. (2019). Evaluating the feasibility of an innovative self-confidence webinar intervention for depression in the workplace: A proof-of-concept study. JMIR mental health, 6(4), e1140

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Published

2022-06-30

How to Cite

Maya, T. (2022). Impact of Personality Traits and Socio-Demographic Factors on Depression among Doctors and Nurses. ABC Journal of Advanced Research, 11(1), 1-22. https://doi.org/10.18034/abcjar.v11i1.602