The association between workload, alcohol use, and alcohol misuse among psychiatrists in China.

Wenzheng Li, Long Chen, Michael Hsu, Daming Mo, Lei Xia, Kaiyuan Min, Feng Jiang, Tingfang Liu, Yuanli Liu, Huanzhong Liu, Yi-Lang Tang
Author Information
  1. Wenzheng Li: Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Hefei, China.
  2. Long Chen: Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Hefei, China.
  3. Michael Hsu: Addiction Psychiatry Fellowship Program, Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States.
  4. Daming Mo: Hefei Fourth People's Hospital, Hefei, China.
  5. Lei Xia: Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Hefei, China.
  6. Kaiyuan Min: State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  7. Feng Jiang: School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
  8. Tingfang Liu: School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  9. Yuanli Liu: School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  10. Huanzhong Liu: Department of Psychiatry, Chao Hu Hospital of Anhui Medical University, Hefei, China.
  11. Yi-Lang Tang: Addiction Psychiatry Fellowship Program, Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, United States.

Abstract

Aim: Survey alcohol use and workload among Chinese psychiatrists and explore their associations.
Methods: We conducted an online questionnaire among psychiatrists working in large psychiatric institutions across the country. We collected data including demographic factors, alcohol use, and workload. Alcohol use was assessed using the Alcohol Use Disorder Identification Test-Consumption (AUDIT-C), and workload-related questions included working hours, night shifts, and caseloads.
Results: In total, 3,549 psychiatrists completed the survey. Nearly half (47.6%) reported alcohol use, and the percentage of alcohol use in males (74.1%) was significantly higher than in females. 8.1% exceeded the AUDIT-C cutoff scores for probable alcohol misuse (19.6%in males and 2.6%in females). AUDIT-C scores were significantly correlated with working hours per week ( = 0.017) and the number of outpatient visits per week ( = 0.006). Regressional analysis showed that alcohol use was significantly associated with the following factors: longer working hours (Working more than 44 h/week, OR = 1.315), having an administrative position (OR = 1.352), being male (OR = 6.856), being single (OR = 1.601), being divorced or widowed (OR = 1.888), smoking (OR = 2.219), working in the West (OR = 1.511) or the Northeast (OR = 2.440). Regressional analysis showed that alcohol misuse was significantly associated with the following factors: fewer night shifts (Three to four night shifts/month, OR = 1.460; No more than 2 night shifts/month, OR = 1.864), being male (OR = 4.007), working in the Northeast (OR = 1.683), smoking (OR = 2.219), frequent insomnia (OR = 1.678).
Conclusion: Nearly half of the psychiatrists in China reported alcohol use and 8.1% had probable AUD. Alcohol consumption is significantly associated with several workload-related factors, such as long working hours, heavy caseload, and administrative duties. Alcohol misuse was inversely associated with the number of night shifts per month. While the direction of causality is unclear, our findings may help identify vulnerable professional groups and develop more targeted interventions to improve healthcare professionals' well-being.

Keywords

References

  1. Drug Alcohol Depend. 2015 Oct 1;155:76-82 [PMID: 26342628]
  2. Asian J Psychiatr. 2021 Nov;65:102853 [PMID: 34560570]
  3. Am J Geriatr Psychiatry. 2021 May;29(5):478-487 [PMID: 33023799]
  4. Am J Ind Med. 2019 May;62(5):404-411 [PMID: 30793779]
  5. J Stud Alcohol. 2006 Jan;67(1):147-56 [PMID: 16536139]
  6. Arch Surg. 2011 Apr;146(4):419-26 [PMID: 21502449]
  7. Ger Med Sci. 2005 Sep 05;3:Doc07 [PMID: 19675724]
  8. Annu Rev Clin Psychol. 2013;9:649-74 [PMID: 23157448]
  9. Alcohol Alcohol. 2005 Sep-Oct;40(5):436-40 [PMID: 16043434]
  10. Front Psychiatry. 2020 Jul 17;11:706 [PMID: 32765329]
  11. Risk Manag Healthc Policy. 2021 Jun 18;14:2547-2552 [PMID: 34177281]
  12. Nurs Manag (Harrow). 2018 Mar 22;25(1):34-41 [PMID: 29565099]
  13. BMC Public Health. 2008 Sep 24;8:333 [PMID: 18816388]
  14. Psychiatry J. 2016;2016:9850473 [PMID: 27144156]
  15. Addict Sci Clin Pract. 2017 Jan 4;12(1):2 [PMID: 28049515]
  16. Int J Health Care Qual Assur. 2019 Dec 20;33(1):1-17 [PMID: 31940153]
  17. Int J Environ Res Public Health. 2020 Oct 26;17(21): [PMID: 33114522]
  18. BMJ. 2015 Jan 13;350:g7772 [PMID: 25587065]
  19. Int J Behav Med. 2011 Dec;18(4):384-90 [PMID: 21125365]
  20. Lancet Psychiatry. 2019 Mar;6(3):211-224 [PMID: 30792114]
  21. J Affect Disord. 2018 Oct 1;238:534-538 [PMID: 29936392]
  22. J Stud Alcohol. 2003 May;64(3):419-27 [PMID: 12817833]
  23. Alcohol Alcohol. 2008 Mar-Apr;43(2):198-203 [PMID: 18208862]
  24. Front Psychiatry. 2022 Jun 22;13:933814 [PMID: 35815044]
  25. Gen Hosp Psychiatry. 2017 Mar - Apr;45:70-75 [PMID: 28274343]
  26. Int J Soc Psychiatry. 2011 Mar;57(2):166-79 [PMID: 20068020]
  27. Psychiatr Danub. 2021 Summer;33(2):225-230 [PMID: 34185754]
  28. Lancet Public Health. 2020 May;5(5):e259 [PMID: 32277874]
  29. PLoS One. 2020 Apr 21;15(4):e0230204 [PMID: 32315309]
  30. Australas Psychiatry. 2009 Feb;17(1):6-10 [PMID: 19137465]
  31. Curr Opin Psychol. 2019 Dec;30:117-122 [PMID: 31128400]
  32. Alcohol Clin Exp Res. 2002 Feb;26(2):272-9 [PMID: 11964568]
  33. Hum Resour Health. 2016 Apr 01;14:12 [PMID: 27039083]
  34. Alcohol Alcohol. 2021 Apr 29;56(3):351-359 [PMID: 32696947]
  35. Front Public Health. 2021 May 10;9:635260 [PMID: 34041214]
  36. West Afr J Med. 2012 Apr-Jun;31(2):97-101 [PMID: 23208478]
  37. Eur Psychiatry. 2016 Feb;32:34-41 [PMID: 26802982]
  38. Alcohol Alcohol. 2012 Jul-Aug;47(4):372-9 [PMID: 22493045]
  39. Alcohol Clin Exp Res. 2010 Jul;34(7):1266-73 [PMID: 20477766]
  40. Subst Use Misuse. 2020;55(3):429-440 [PMID: 31694425]
  41. Psychiatr Danub. 2020 Summer;32(2):307 [PMID: 32796805]
  42. Psychiatry Res. 2020 Nov;293:113441 [PMID: 32898840]
  43. J Stud Alcohol. 2001 Sep;62(5):589-604 [PMID: 11702798]
  44. Acad Psychiatry. 2017 Apr;41(2):159-166 [PMID: 27436125]
  45. Lancet. 2009 Nov 14;374(9702):1714-21 [PMID: 19914516]
  46. Ann Gen Psychiatry. 2019 Sep 24;18:22 [PMID: 31572485]
  47. Lancet. 2018 Sep 22;392(10152):1015-1035 [PMID: 30146330]
  48. Drug Alcohol Depend. 2016 Mar 1;160:119-26 [PMID: 26832935]
  49. J Addict Med. 2013 Mar-Apr;7(2):108-12 [PMID: 23412081]
  50. Scand J Public Health. 2003;31(2):85-91 [PMID: 12745757]
  51. Work. 2003;21(2):153-63 [PMID: 14501093]
  52. Scand J Public Health. 2006;34(1):49-58 [PMID: 16449044]
  53. Alcohol Res. 2012;34(4):391-400 [PMID: 23584105]
  54. J Appl Psychol. 2008 May;93(3):498-512 [PMID: 18457483]
  55. Front Psychiatry. 2021 Feb 24;12:573333 [PMID: 33716804]
  56. Alcohol Clin Exp Res. 2005 Jan;29(1):53-7 [PMID: 15654291]
  57. Health Policy Plan. 2016 Apr;31 Suppl 1:i87-97 [PMID: 26276763]
  58. Addiction. 1999 Oct;94(10):1477-87 [PMID: 10790900]
  59. Asian J Psychiatr. 2022 Oct;76:103229 [PMID: 36007487]
  60. PLoS One. 2015 Mar 10;10(3):e0117721 [PMID: 25756353]
  61. BMC Psychiatry. 2021 Nov 24;21(1):593 [PMID: 34819029]
  62. Arch Intern Med. 2007 Apr 9;167(7):716-21 [PMID: 17420431]
  63. Psychopharmacology (Berl). 2011 Nov;218(1):1-17 [PMID: 21373787]
  64. Acad Med. 2000 Jul;75(7):748-59 [PMID: 10926029]
  65. Eur Addict Res. 2013;19(2):89-97 [PMID: 23128570]
  66. Bull World Health Organ. 2013 Apr 1;91(4):270-6 [PMID: 23599550]

Word Cloud

Created with Highcharts 10.0.0alcoholuseOR = 1workingpsychiatristsnightsignificantlymisuseworkloadAlcoholhoursassociatedamongAUDIT-Cshifts1%perOR = 2factorsworkload-relatedNearlyhalfreportedmalesfemales8scoresprobable6%in2week= 0numberRegressionalanalysisshowedfollowingfactors:administrativemalesmoking219Northeastshifts/monthChinaassociationAim:SurveyChineseexploreassociationsMethods:conductedonlinequestionnairelargepsychiatricinstitutionsacrosscountrycollecteddataincludingdemographicassessedusingUseDisorderIdentificationTest-ConsumptionquestionsincludedcaseloadsResults:total3549completedsurvey476%percentage74higherexceededcutoff19correlated017outpatientvisits006longerWorking44 h/week315position352OR = 6856single601divorcedwidowed888West511440fewerThreefour460864OR = 4007683frequentinsomnia678Conclusion:AUDconsumptionseverallongheavycaseloaddutiesinverselymonthdirectioncausalityunclearfindingsmayhelpidentifyvulnerableprofessionalgroupsdeveloptargetedinterventionsimprovehealthcareprofessionals'well-being

Similar Articles

Cited By

No available data.