The correlated factors of anxiety and depression among Chinese hospital staff during the COVID-19 local outbreak.

Guomiao Li, Chun Wei, Kai Fang, Hui Jiang, Quanwei Liu, Jiang Ou
Author Information
  1. Guomiao Li: Department of Cancer Center, Second People's Hospital of Neijiang, Neijiang, Sichuan, China. ORCID
  2. Chun Wei: Southwest Medical University, Luzhou, Sichuan, China.
  3. Kai Fang: Department of Cancer Center, Second People's Hospital of Neijiang, Neijiang, Sichuan, China.
  4. Hui Jiang: Department of Cancer Center, Second People's Hospital of Neijiang, Neijiang, Sichuan, China.
  5. Quanwei Liu: Department of Cancer Center, Second People's Hospital of Neijiang, Neijiang, Sichuan, China.
  6. Jiang Ou: Department of Cancer Center, Second People's Hospital of Neijiang, Neijiang, Sichuan, China. ORCID

Abstract

Hospital staff in the COVID-19 local outbreak were facing different situations, their mental status and influencing factors were also different. The aim of this study is to investigate the anxiety and depression of hospital staff and its potential influence factors during the COVID-19 local outbreak. This was a cross-sectional survey based on a hospital with a local outbreak of COVID-19. We collected the demographic characteristics, COVID-19-related issues, self-rating anxiety scale (SAS), and self-rating depression scale (SDS) of participants through an anonymous questionnaire. Factors associated with anxiety and depression were explored through univariate and multivariate analyses. We also constructed nomograms and calibration curves to predict the probability of anxiety and depression. A total of 800 people completed the questionnaire. 239 (29.9%) of them were doctors, 249 (31.1%) of them were nurses and 312 (39.0%) of them were others. There were 173 (21.6%) cases had anxiety, including 36 (20.8%) doctors, 76 (43.9%) nurses and 61 (35.3%) from other occupations and 281 (35.1%) cases had depression, including 64 (22.8%) doctors, 101 (35.9%) nurses, and 116 (41.3%) from other occupations. Nurses had higher SAS and SDS score than doctors and others (F = 17.856, P < .001 and F = 14.376, P < .001). In addition, multivariate analysis found that occupation, education level, health condition, and reduced sleep were significant influences on anxiety and depression. At the same time, reduced income was also significantly associated with anxiety. During the local outbreak of COVID-19, hospital staff still had varying degrees anxiety and depression. Occupation, education level, health condition and reduced sleep were both significant influencing factors for anxiety and depression. The mental state of hospital staff, including nonmedical-related staff should still be taken seriously.

References

  1. Int J Soc Psychiatry. 2021 Sep;67(6):656-663 [PMID: 33100114]
  2. Psychiatry Res. 2021 Jun;300:113905 [PMID: 33827013]
  3. J Reprod Infant Psychol. 2018 Nov;36(5):519-529 [PMID: 30092662]
  4. Brain Behav Immun. 2020 Jul;87:11-17 [PMID: 32240764]
  5. Med Princ Pract. 2019;28(1):82-86 [PMID: 30396178]
  6. Psychosomatics. 1971 Nov-Dec;12(6):371-9 [PMID: 5172928]
  7. Adv Exp Med Biol. 2020;1228:345-352 [PMID: 32342469]
  8. Psychiatry Res. 2020 Aug;290:113130 [PMID: 32497969]
  9. Psychiatr Danub. 2020 Autumn - Winter;32(3-4):527-535 [PMID: 33370763]
  10. Am J Prev Med. 2003 May;24(4):354-60 [PMID: 12726874]
  11. Neurosci Biobehav Rev. 2021 Jul;126:252-264 [PMID: 33774085]
  12. N Engl J Med. 2020 Mar 26;382(13):1199-1207 [PMID: 31995857]
  13. Arch Gen Psychiatry. 1965 Jan;12:63-70 [PMID: 14221692]
  14. Int Immunopharmacol. 2021 Oct;99:108050 [PMID: 34426120]
  15. Front Psychol. 2021 Feb 12;12:600818 [PMID: 33643133]
  16. Hum Resour Health. 2020 Dec 17;18(1):100 [PMID: 33334335]
  17. Psychiatr Danub. 2021 Sep;33(Suppl 10):132-136 [PMID: 34672286]
  18. Front Psychol. 2021 Oct 20;12:747557 [PMID: 34744923]
  19. J Med Virol. 2022 May;94(5):1825-1832 [PMID: 35023191]
  20. Brain Behav Immun. 2020 Aug;88:901-907 [PMID: 32437915]
  21. Psychiatry Res. 2020 Sep;291:113190 [PMID: 32563745]
  22. BMJ Open. 2021 Sep 21;11(9):e054528 [PMID: 34548373]
  23. Front Psychiatry. 2022 Sep 14;13:947945 [PMID: 36186880]
  24. Psychiatry Res. 2013 Dec 30;210(3):1301-3 [PMID: 24135551]
  25. Front Psychiatry. 2022 Oct 03;13:956068 [PMID: 36262634]
  26. Front Public Health. 2021 Jul 02;9:650672 [PMID: 34277536]
  27. Support Care Cancer. 2014 Feb;22(2):453-9 [PMID: 24091720]
  28. Acta Biomed. 2020 Mar 19;91(1):157-160 [PMID: 32191675]
  29. Lancet Infect Dis. 2021 Feb;21(2):181-192 [PMID: 33217362]
  30. Psychiatry Res. 2020 Jun;288:112954 [PMID: 32325383]
  31. Occup Med (Lond). 2022 Feb 22;72(2):110-117 [PMID: 34919710]
  32. N Engl J Med. 2022 Feb 24;386(8):744-756 [PMID: 34986294]
  33. Front Public Health. 2021 Jul 01;9:580427 [PMID: 34277529]
  34. Int J Environ Res Public Health. 2021 Mar 17;18(6): [PMID: 33802863]
  35. Hum Vaccin Immunother. 2021 Oct 3;17(10):3276-3280 [PMID: 34254894]
  36. Epidemiol Infect. 2020 Sep 18;148:e214 [PMID: 32943130]
  37. Soc Sci Med. 2008 Mar;66(6):1334-45 [PMID: 18234406]
  38. J Affect Disord. 2022 Dec 1;318:196-203 [PMID: 36041580]
  39. Front Psychol. 2021 Mar 26;12:638985 [PMID: 33841273]
  40. Int J Nurs Stud. 2021 Feb;114:103809 [PMID: 33207297]

MeSH Term

Humans
COVID-19
Male
Female
Depression
Anxiety
Adult
Cross-Sectional Studies
China
Personnel, Hospital
Middle Aged
SARS-CoV-2
Surveys and Questionnaires
Disease Outbreaks
Risk Factors

Word Cloud

Created with Highcharts 10.0.0anxietydepressionstaffCOVID-19localoutbreakhospitalfactorsdoctorsalso9%nursesincluding35reduceddifferentmentalinfluencingself-ratingscaleSASSDSquestionnaireassociatedmultivariate1%otherscases8%3%occupationsP <001educationlevelhealthconditionsleepsignificantstillHospitalfacingsituationsstatusaimstudyinvestigatepotentialinfluencecross-sectionalsurveybasedcollecteddemographiccharacteristicsCOVID-19-relatedissuesparticipantsanonymousFactorsexploredunivariateanalysesconstructednomogramscalibrationcurvespredictprobabilitytotal800peoplecompleted2392924931312390%173216%3620764361281642210111641NurseshigherscoreF = 17856F = 14376additionanalysisfoundoccupationinfluencestimeincomesignificantlyvaryingdegreesOccupationstatenonmedical-relatedtakenseriouslycorrelatedamongChinese

Similar Articles

Cited By