High risk of burnout in medical students in Serbia, by gender: A cross-sectional study.

Irena Ilic, Ivana Zivanovic Macuzic, Sanja Kocic, Milena Ilic
Author Information
  1. Irena Ilic: Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
  2. Ivana Zivanovic Macuzic: Department of Anatomy, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
  3. Sanja Kocic: Department of Social Medicine, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia.
  4. Milena Ilic: Department of Epidemiology, Faculty of Medical Sciences, University of Kragujevac, Kragujevac, Serbia. ORCID

Abstract

INTRODUCTION: Burnout syndrome is common among medical students, but findings about the gender differences in burnout are not consistent. The aim of this study was to assess high risk of burnout syndrome among medical students at one University in Serbia, by gender.
METHOD: A cross-sectional study was conducted at the Faculty of Medical Sciences, University of Kragujevac in 2014. The Maslach Burnout Inventory-Student Survey was used for assessment of burnout level. A questionnaire on basic socio-demographic characteristics (age, gender, marital status, habits, etc.) and academic performance (year of study, cumulative total average grade, length of study, housing, study financing, etc.) was used. The study included a total of 760 medical students (760/836 medical students; participation rate: 90.9%). Logistic regression analysis was used to determine odds ratios (OR) with 95% confidence intervals (95% CI).
RESULTS: Significant gender differences were detected in prevalence of high risk of burnout syndrome (male students- 19.0% vs. female students- 12.8%, p = 0.024). A significant independent predictor of high risk for burnout syndrome in male medical students was study year (p for trend = 0.011), while in female medical students-study year (p for trend = 0.002) and use of sedatives (adjusted OR = 5.74, 95% CI = 1.96-16.77, p = 0.001).
CONCLUSION: Our results indicate the need to assess the risk of burnout syndrome at the very beginning of medical studies, in order to more effectively control the modifiable risk factors.

References

  1. PLoS One. 2020 Jul 10;15(7):e0235154 [PMID: 32649681]
  2. Int J Prev Med. 2020 Mar 16;11:38 [PMID: 32363025]
  3. Rev Assoc Med Bras (1992). 2010 Sep-Oct;56(5):568-71 [PMID: 21152830]
  4. PLoS One. 2018 Mar 7;13(3):e0191746 [PMID: 29513668]
  5. Acad Med. 2006 Apr;81(4):374-84 [PMID: 16565189]
  6. PLoS One. 2020 Nov 18;15(11):e0241335 [PMID: 33206654]
  7. J Epidemiol Glob Health. 2016 Sep;6(3):177-85 [PMID: 26644345]
  8. Int Arch Occup Environ Health. 2011 Apr;84(4):453-9 [PMID: 21373879]
  9. JAMA. 2011 Sep 7;306(9):952-60 [PMID: 21900135]
  10. Medicine (Baltimore). 2018 Apr;97(15):e0326 [PMID: 29642167]
  11. Med Educ. 2014 Oct;48(10):963-79 [PMID: 25200017]
  12. Behav Med. 2017 Oct-Dec;43(4):323-328 [PMID: 27127903]
  13. South Med J. 2010 Aug;103(8):758-63 [PMID: 20622724]
  14. BMC Med Educ. 2017 Nov 16;17(1):217 [PMID: 29145854]
  15. Acad Psychiatry. 2018 Feb;42(1):62-67 [PMID: 28861884]
  16. Eur J Epidemiol. 2012 Mar;27(3):225-31 [PMID: 22388765]
  17. Med J Aust. 2004 Oct 4;181(7):357-60 [PMID: 15462649]
  18. Teach Learn Med. 2016;28(2):174-82 [PMID: 27064719]
  19. J Affect Disord. 2020 Mar 15;265:71-76 [PMID: 31957694]
  20. Annu Rev Psychol. 2001;52:397-422 [PMID: 11148311]
  21. Cureus. 2015 Nov 29;7(11):e390 [PMID: 26719833]
  22. JAMA. 2010 Sep 15;304(11):1173-80 [PMID: 20841530]
  23. J Abnorm Psychol. 1992 Feb;101(1):139-52 [PMID: 1537960]
  24. Adv Med Educ Pract. 2021 Jan 25;12:63-75 [PMID: 33531852]
  25. Indian J Psychol Med. 2020 Mar 09;42(2):122-127 [PMID: 32346252]
  26. Int J Med Educ. 2017 Apr 26;8:144-150 [PMID: 28454079]
  27. Med Teach. 2019 Feb;41(2):172-183 [PMID: 29656675]
  28. Cureus. 2020 Jan 12;12(1):e6633 [PMID: 31966946]
  29. Psychol Health. 2001 Sep;16(5):565-82 [PMID: 22804499]
  30. Braz J Psychiatry. 2017 Oct-Dec;39(4):369-378 [PMID: 28876408]
  31. Clinics (Sao Paulo). 2012;67(6):573-80 [PMID: 22760894]
  32. Clin Teach. 2013 Aug;10(4):242-5 [PMID: 23834570]
  33. Arch Gen Psychiatry. 2008 Dec;65(12):1429-37 [PMID: 19047530]
  34. Psychol Health Med. 2012;17(2):188-95 [PMID: 21781020]
  35. Front Psychol. 2019 Mar 13;10:284 [PMID: 30918490]
  36. Acad Psychiatry. 2008 Jan-Feb;32(1):44-53 [PMID: 18270280]
  37. Eur Psychiatry. 2019 Jan;55:36-42 [PMID: 30384110]
  38. J Psychosom Res. 1991;35(2-3):197-208 [PMID: 2046053]
  39. BMC Med Educ. 2019 Nov 8;19(1):413 [PMID: 31703674]
  40. J Neurosci Rural Pract. 2016 Oct-Dec;7(4):493-498 [PMID: 27695226]
  41. Med Educ Online. 2014 Aug 25;19:25209 [PMID: 25160716]
  42. BMC Med Educ. 2007 Aug 02;7:26 [PMID: 17678553]
  43. BMC Res Notes. 2018 Jul 28;11(1):515 [PMID: 30055652]
  44. Acad Med. 2016 Sep;91(9):1251-6 [PMID: 26934693]

MeSH Term

Humans
Female
Students, Medical
Male
Serbia
Cross-Sectional Studies
Adult
Young Adult
Risk Factors
Burnout, Professional
Sex Factors
Surveys and Questionnaires
Prevalence
Burnout, Psychological

Word Cloud

Created with Highcharts 10.0.0medicalstudyburnoutstudentsrisk=syndromegenderp0highusedyear95%BurnoutamongdifferencesassessUniversitySerbiacross-sectionaletctotalORCImalestudents-femaletrendINTRODUCTION:commonfindingsconsistentaimoneMETHOD:conductedFacultyMedicalSciencesKragujevac2014MaslachInventory-StudentSurveyassessmentlevelquestionnairebasicsocio-demographiccharacteristicsagemaritalstatushabitsacademicperformancecumulativeaveragegradelengthhousingfinancingincluded760760/836participationrate:909%LogisticregressionanalysisdetermineoddsratiosconfidenceintervalsRESULTS:Significantdetectedprevalence190%vs128%024significantindependentpredictor011students-study002usesedativesadjusted574196-1677001CONCLUSION:resultsindicateneedbeginningstudiesordereffectivelycontrolmodifiablefactorsHighgender:

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