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Journal of Police and Criminal Psychology

, Volume 34, Issue 1, pp 67–77 | Cite as

Depressive Symptoms Among Police Officers: Associations with Personality and Psychosocial Factors

  • Emily N. JenkinsEmail author
  • Penelope Allison
  • Kim Innes
  • John M. Violanti
  • Michael E. Andrew
Article

Abstract

Protective psychosocial factors may reduce the risk of stress-related illnesses in policing. We assessed the association between protective factors and depressive symptoms among 242 police officers. Participants were from the Buffalo Cardio-Metabolic Occupational Police Stress (BCOPS) Study (2004–2014). Coping, hardiness, personality traits, and social support were assessed at baseline. Depressive symptoms were measured at baseline and follow-up using the Center for Epidemiologic Studies-Depression (CES-D) scale. The relationship between protective factors and the rate of change in depressive symptoms was assessed using linear regression. Logistic regression evaluated associations between protective factors and new-onset depression. Of participants free of depression at baseline, 23 (10.7%) developed probable depression during the follow-up. Odds of new-onset depression increased with increasing neuroticism (adjusted odds ratio [ORADJ] = 1.22, 95% confidence interval [CI], 1.11–1.35) and passive coping (ORADJ = 2.07, 95% CI, 1.06–4.03). Increasing agreeableness (ORADJ = 0.87, 95% CI, 0.78–0.96) and conscientiousness (ORADJ = 0.90, 95% CI, 0.84–0.98) were associated with decreased odds of new-onset depression. New-onset depression was not significantly associated with other coping subscales, hardiness, or social support. There were no significant associations between protective factors and change in depressive symptom scores. This study suggests certain personality characteristics and passive coping may be associated with increased odds of new-onset depression in police officers.

Keywords

Depression Personality Hardiness Coping Police officers 

Notes

Funding

This work was supported by the National Institute for Occupational Safety and Health contract number 200-2003-01580 and grant number 1R01OH009640-01A1.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed Consent

Informed consent was obtained from all individual participants included in the study.

Disclaimer

The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institute for Occupational Safety and Health, Centers for Disease Control and Prevention.

References

  1. Andrew ME, McCanlies EC, Charles LE, Fekedulegn D, Burchfiel CM, Hartley TA, Violanti JM (2008) Hardiness and psychological distress in a cohort of police officers. Int J Emerg Ment Health 10(2):137–147Google Scholar
  2. Andrew ME, Mnatsakanova A, Howsare JL, Hartley TA, Charles LE, Burchfiel CM, McCanlies E, Violanti JM (2013) Associations between protective factors and psychological distress vary by gender: the buffalo cardio-metabolic occupational police stress study. Int J Emerg Ment Health 15(4):277–288Google Scholar
  3. Arnetz BB, Arble E, Backman L, Lynch A, Lublin A (2013) Assessment of a prevention program for work-related stress among urban police officers. Int Arch Occup Environ Health 86(1):79–88.  https://doi.org/10.1007/s00420-012-0748-6 CrossRefGoogle Scholar
  4. Bartone PT (1999) Hardiness protects against war-related stress in army reserve forces. Consult Psychol J 51(2):72–82.  https://doi.org/10.1037/1061-4087.51.2.72 CrossRefGoogle Scholar
  5. Bartone PT (2007) Test-retest reliability of the dispositional resilience scale-15, a brief hardiness scale. Psychol Rep 101(3 I):943–944.  https://doi.org/10.2466/PR0.101.3.943-944 CrossRefGoogle Scholar
  6. Boscarino JA (1995) Post-traumatic stress and associated disorders among Vietnam veterans: the significance of combat exposure and social support. J Trauma Stress 8(2):317–336CrossRefGoogle Scholar
  7. Bureau of Labor Statistics, U.S. Department of Labor. (2015). Police and Detectives Retrieved from https://www.bls.gov/ooh/protective-service/police-and-detectives.htm
  8. Cadzow RB, Servoss TJ (2009) The association between perceived social support and health among patients at a free urban clinic. J Natl Med Assoc 101(3):243–250CrossRefGoogle Scholar
  9. Carver CS (1997) You want to measure coping but your protocol’s too long: consider the brief COPE. Int J Behav Med 4(1):92–100.  https://doi.org/10.1207/s15327558ijbm0401_6 CrossRefGoogle Scholar
  10. Cigrang, J. A., Wayne Talcott, G., Tatum, J., Baker, M., Cassidy, D., Sonnek, S.,. .. Smith Slep, A. M. (2014). Impact of combat deployment on psychological and relationship health: a longitudinal study. J Trauma Stress, 27(1), 58–65. doi: https://doi.org/10.1002/jts.21890 CrossRefGoogle Scholar
  11. Costa PT, McCrae RR (2009) NEO PI-R Professional Manual: Revised NEO Personality Inventory (NEO-PI-R) and NEO Five Factor Inventory (NEO-FFI): Psychological Assessment Resources, Inc.Google Scholar
  12. Cutrona CE, Russell DW (1987) The provisions of social support and adaptation to stress. In: Jones WH, Perlman D (eds) Advance in personal relationships, vol 1. JAI Press, Greenwich, pp 37–67Google Scholar
  13. Gariépy G, Honkaniemi H, Quesnel-Vallée A (2016) Social support and protection from depression: systematic review of current findings in Western countries. Br J Psychiatry 209(4):284–293.  https://doi.org/10.1192/bjp.bp.115.169094 CrossRefGoogle Scholar
  14. Gershon RRM, Barocas B, Canton AN, Li X, Vlahov D (2009) Mental, physical, and behavioral outcomes associated with perceived work stress in police officers. Crim Justice Behav 36(3):275–289CrossRefGoogle Scholar
  15. Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM (2005) When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol 162(3):267–278.  https://doi.org/10.1093/aje/kwi187 CrossRefGoogle Scholar
  16. Greenberg PE, Fournier AA, Sisitsky T, Pike CT, Kessler RC (2015) The economic burden of adults with major depressive disorder in the United States (2005 and 2010). J Clin Psychiatry 76(2):155–162.  https://doi.org/10.4088/JCP.14m09298 CrossRefGoogle Scholar
  17. 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. Depress Anxiety 32(7):461–470.  https://doi.org/10.1002/da.22376 CrossRefGoogle Scholar
  18. Holahan CJ, Moos RH (1987) Personal and contextual determinants of coping strategies. J Pers Soc Psychol 52(5):946–955CrossRefGoogle Scholar
  19. Iacoviello BM, Charney DS (2014) Psychosocial facets of resilience: implications for preventing posttrauma psychopathology, treating trauma survivors, and enhancing community resilience. Eur J Psychotraumatol 5:23970.  https://doi.org/10.3402/ejpt.v5.23970 CrossRefGoogle Scholar
  20. Kendler KS, Gatz M, Gardner CO, Pedersen NL (2006) Personality and major depression: a Swedish longitudinal, population-based twin study. Arch Gen Psychiatry 63(10):1113–1120.  https://doi.org/10.1001/archpsyc.63.10.1113 CrossRefGoogle Scholar
  21. Klein DN, Kotov R, Bufferd SJ (2011) Personality and depression: explanatory models and review of the evidence. Annu Rev Clin Psychol 7:269–295.  https://doi.org/10.1146/annurev-clinpsy-032210-104540 CrossRefGoogle Scholar
  22. Koorevaar AML, Comijs HC, Dhondt ADF, van Marwijk HWJ, van der Mast RC, Naarding P, Oude Voshaar RC, Stek ML (2013) Big five personality and depression diagnosis, severity and age of onset in older adults. J Affect Disord 151(1):178–185.  https://doi.org/10.1016/j.jad.2013.05.075 CrossRefGoogle Scholar
  23. Kotov R, Gamez W, Schmidt F, Watson D (2010) Linking “big” personality traits to anxiety, depressive, and substance use disorders: a meta-analysis. Psychol Bull 136(5):768–821.  https://doi.org/10.1037/a0020327 CrossRefGoogle Scholar
  24. National Institute of Mental Health (n.d.) Major depressive disorder among adults. Retrieved from http://www.nimh.nih.gov/health/statistics/prevalence/major-depression-among-adults.shtml
  25. Noteboom A, Beekman AT, Vogelzangs N, Penninx BW (2016) Personality and social support as predictors of first and recurrent episodes of depression. J Affect Disord 190:156–161.  https://doi.org/10.1016/j.jad.2015.09.020 CrossRefGoogle Scholar
  26. Ozbay F, Johnson DC, Dimoulas E, Morgan CA, Charney D, Southwick S (2007) Social support and resilience to stress: from neurobiology to clinical practice. Psychiatry (Edgmont) 4(5):35–40Google Scholar
  27. Paykel ES (1994) Life events, social support and depression. Acta Psychiatr Scand Suppl 377:50–58CrossRefGoogle Scholar
  28. Radloff LS (1977) The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas 1(3):385–401.  https://doi.org/10.1177/014662167700100306 CrossRefGoogle Scholar
  29. Schwarzer R, Bowler RM, Cone JE (2014) Social integration buffers stress in New York police after the 9/11 terrorist attack. Anxiety Stress Coping 27(1):18–26.  https://doi.org/10.1080/10615806.2013.806652 CrossRefGoogle Scholar
  30. Sinclair VG, Wallston KA, Strachan E (2016) Resilient coping moderates the effect of trauma exposure on depression. Res Nurs Health 39(4):244–252.  https://doi.org/10.1002/nur.21723 CrossRefGoogle Scholar
  31. Taylor SE, Stanton AL (2007) Coping resources, coping processes, and mental health. Annu Rev Clin Psychol 3:377–401.  https://doi.org/10.1146/annurev.clinpsy.3.022806.091520 CrossRefGoogle Scholar
  32. Violanti JM, Burchfiel CM, Miller DB, Andrew ME, Dorn J, Wactawski-Wende J, Beighley CM, Pierino K, Joseph PN, Vena JE, Sharp DS, Trevisan M (2006) The buffalo cardio-metabolic occupational police stress (BCOPS) pilot study: Methods and participant characteristics. Ann Epidemiol 16(2):148–156.  https://doi.org/10.1016/j.annepidem.2005.07.054 CrossRefGoogle Scholar
  33. Vittengl JR (2017) Who pays the price for high neuroticism? Moderators of longitudinal risks for depression and anxiety. Psychol Med 47:1–12.  https://doi.org/10.1017/S0033291717000253 CrossRefGoogle Scholar

Copyright information

© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2018

Authors and Affiliations

  1. 1.Biostatistics and Epidemiology Branch, Health Effects Laboratory DivisionNational Institute for Occupational Safety and HealthMorgantownUSA
  2. 2.Department of Epidemiology, School of Public HealthWest Virginia UniversityMorgantownUSA
  3. 3.Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at BuffaloState University of New YorkBuffaloUSA

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