Psychometric properties of COVID-19 Exhaustion Scale in Italian context
Vol 8, Issue 1, 2023, Article identifier:
VIEWS - 659 (Abstract) 298 (PDF)
Abstract
The aim of this study was providing a validated scale in the Italian context, for the assessment of the symptoms of mental, physical, and psychological exhaustion that can result from thinking about COVID-19, starting from Burnout Measure of Pines and Aronson. Four studies were conducted. In Study 1, we conducted an exploratory factor analysis. A 2-factor factorial structure—Mental Exhaustion (ME) and Physical and Emotional Exhaustion (PEE)—was shown. In Study 2, we tested the structure of COVID-19 Exhaustion Scale. The two-factor structure with 8 items was the best factorial solution. In Study 3, we tested the concurrent validity of the COVID-19 Exhaustion Scale. The two dimensions were significantly and positively related to physical symptoms and negatively related to life satisfaction. In Study 4, we showed the stability of the COVID-19 Exhaustion Scale using the test-retest method after 3 weeks.
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1. World Health Organization. Timeline of WHO’s response to COVID-19 [Internet]. Geneva: World Health Organization; 2020 [updated 2021 Jan 29]. Available from: https://www.who.int/news-room/detail/29-06-2020-covidtimeline.
2. Gopinath G. The great lockdown: Worst economic downturn since the great depression [Internet]. Washington D.C.: IMFBlog; 2020 [updated 2020 Apr 14]. Available from: https://blogs.imf.org/2020/04/14/the-great-lockdown-worst-economic-downturn-since-the-great-depression/.
3. Ahorsu DK, Lin CY, Imani V, et al. The Fear of COVID-19 Scale: Development and initial validation. International Journal of Mental Health and Addiction 2020; 20: 1537–1545. doi: 10.1007/s11469-020-00270-8.
4. Trzebiński J, Cabański M, Czarnecka JZ. Reaction to the COVID-19 pandemic: The influence of meaning in life, life satisfaction, and assumptions on world orderliness and positivity. Journal of Loss and Trauma 2020; 25(6–7): 544–557. doi: 10.1080/15325024.2020.1765098.
5. Zammitti A, Imbrogliera C, Russo A, et al. The psychological impact of coronavirus pandemic restrictions in Italy. The mediating role of the fear of COVID-19 in the relationship between positive and negative affect with positive and negative outcomes. European Journal of Investigation in Health, Psychology and Education 2021; 11(3): 697–710. doi: 10.3390/ejihpe11030050.
6. Garg M, Maralakunte M, Garg S, et al. The conundrum of ‘long-COVID-19’: A narrative review. International Journal of General Medicine 2021; 14: 2491–2506. doi: 10.2147/IJGM.S316708.
7. Thye AYK, Law JWF, Tan LTH, et al. Psychological symptoms in COVID-19 patients: Insights into pathophysiology and risk factors of long COVID-19. Biology 2022; 11(1): 61. doi: 10.3390/biology11010061.
8. Greenberg N, Docherty M, Gnanapragasam S, et al. Managing mental health challenges faced by healthcare workers during covid-19 pandemic. BMJ 2020; 368. doi: 10.1136/bmj.m1211.
9. Morgantini LA, Naha U, Wang H, et al. Factors contributing to healthcare professional burnout during the COVID-19 pandemic: A rapid turnaround global survey. PLOS ONE 2020; 15(9): e0238217. doi: 10.1371/journal.pone.0238217.
10. Sung CW, Chen CH, Fan CY, et al. Burnout in medical staffs during a coronavirus disease (COVID-19) pandemic [Internet]. New York: SSRN; 2020 [updated 2020 Jun 9]. Available from: https://ssrn.com/abstract=3594567.
11. Chen H, Eyoun K. Do mindfulness and perceived organizational support work? Fear of COVID-19 on restaurant frontline employees’ job insecurity and emotional exhaustion. International Journal of Hospitality Management 2021; 94: 102850. doi: 10.1016/j.ijhm.2020.102850.
12. Maslach C, Leiter MP. Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry: Official Journal of the World Psychiatric Association (WPA) 2016; 15(2): 103–111. doi: 10.1002/wps.20311.
13. Maslach C, Leiter MP. Early predictors of job burnout and engagement. Journal of Applied Psychology 2008; 93(3): 498–512. doi: 10.1037/0021-9010.93.3.498.
14. Maslach C, Jackson SE. The measurement of experienced burnout. Journal of Organizational Behavior 1981; 2(2): 99–113. doi: 10.1002/job.4030020205.
15. Schaufeli WB, Taris TW. The conceptualization and measurement of burnout: Common ground and worlds apart. Work & Stress 2005; 19(3): 256–262. doi: 10.1080/02678370500385913.
16. Maslach C, Schaufeli WB, Leiter MP. Job burnout. Annual Review of Psychology 2001; 52(1): 397–422. doi: 10.1146/annurev.psych.52.1.397.
17. Peterson U, Demerouti E, Bergstrom G, et al. Burnout and physical and mental health among Swedish healthcare workers. Journal of Advanced Nursing 2008; 62(1): 84–95. doi: 10.1111/j.1365-2648.2007.04580.x.
18. Tokunaga RS. Social networking site or social surveillance site? Understanding the use of interpersonal electronic surveillance in romantic relationships. Computers in Human Behavior 2011; 27(2): 705–713. doi: 10.1016/j.chb.2010.08.014.
19. Karatepe OM, Karatepe T. Role stress, emotional exhaustion, and turnover intentions: Does organizational tenure in hotels matter? Journal of Human Resources in Hospitality & Tourism 2009; 9(1): 1–16. doi: 10.1080/15332840903323364.
20. Rathi N, Lee K. Emotional exhaustion and work attitudes: Moderating effect of personality among frontline hospitality employees. Journal of Human Resources in Hospitality & Tourism 2016; 15(3): 231–251. doi: 10.1080/15332845.2016.1147935.
21. Freudenberger HJ. Staff burn‐out. Journal of Social Issues 1974; 30(1): 159–165. doi: 10.1111/j.1540-4560.1974.tb00706.x.
22. Pines A, Aronson E. Career burnout: Causes and cures. New York: Free Press; 1988.
23. Enzmann D, Schaufeli WB, Janssen P, et al. Dimensionality and validity of the Burnout Measure. Journal of Occupational and Organizational Psychology 1998; 71(4): 331–351. doi: 10.1111/j.2044-8325.1998.tb00680.x.
24. Glass DC, McKnight JD. Perceived control, depressive symptomatology, and professional burnout: A review of the evidence. Psychology & Health 1996; 11(1): 23–48. doi: 10.1080/08870449608401975.
25. Schaufeli W, Enzmann D. The burnout companion to study and practice: A critical analysis. London: CRC Press; 1998.
26. Ray EB, Miller KI. The influence of communication structure and social support on job stress and burnout. Management Communication Quarterly 1991; 4(4): 506–527. doi: 10.1177/08933189910040040.
27. Enzmann D, Kleiber D. HclJer-ikiden: Jtnp und burnout in pychosorialen berujn (German) [Helpers’ ordeals: Stress and burnout in psycho-social professions]. Heidelberg: Asanger; 1989.
28. Schaufeli WB, Van Dierendonck D. The construct validity of two burnout measures. Journal of Organizational Behavior 1993; 14(7): 631–647. doi: 10.1002/job.4030140703.
29. Malach-Pines A. The burnout measure, short version. International Journal of Stress Management 2005; 12(1): 78. doi: 10.1037/1072-5245.12.1.78.
30. Yıldırım M, Solmaz F. COVID-19 burnout, COVID-19 stress and resilience: Initial psychometric properties of COVID-19 Burnout Scale. Death Studies 2022; 46(3): 524–532. doi: 10.1080/07481187.2020.1818885.
31. Leiter MP, Bakker AB, Maslach C (editors). Burnout at work: A psychological perspective. London: Psychology Press; 2014.
32. Beaton DE, Bombardier C, Guillemin F. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine 2000; 25(24): 3186–3191. doi: 10.1097/00007632-200012150-00014.
33. Associazione Italiana di Psicologia (AIP). Codice etico (Italian) [Ethical code] [Internet]. Available from: https://www.aipass.org/sites/default/files/Codice%20Etico_marzo%202015.pdf.
34. Horn JL. A rationale and test for the number of factors in factor analysis. Psychometrika 1965; 30: 179–185. doi: 10.1007/BF02289447.
35. O’connor BP. SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test. Behavior Research Methods, Instruments, & Computers 2000; 32(3): 396–402. doi: 10.3758/BF03200807.
36. Velicer WF, Eaton CA, Fava JL. Construct explication through factor or component analysis: A review and evaluation of alternative procedures for determining the number of factors or components. In: Goffin RD, Helmes E (editors). Problems and solutions in human assessment. Boston, MA: Springer; 2000. p. 41–71.
37. Zwick WR, Velicer WF. Factors influencing five rules for determining the number of components to retain. Psychological Bulletin 1986; 99: 432–442.
38. Field AP. Discovering statistics using SPSS. 2nd ed. London: Sage Publications, Inc; 2005.
39. Tabachnick B, Fidell L. Using multivariate statistics. 7th ed. London: Pearson; 2019.
40. George D, Mallery P. IBM SPSS statistics 26 step by step: A simple guide and reference. New York: Routledge; 2019.
41. Kim HY. Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics 2013; 38(1): 52–54. doi: 10.5395/rde.2013.38.1.52.
42. Jöreskog KG, Sörbom D. LISREL 8.80 for Windows. Lincolnwood, IL: Scientific Software International, Inc; 2006.
43. Hinkin TR. A brief tutorial on the development of measures for use in survey questionnaires. Organizational Research Methods 1998; 1(1): 104–121. doi: 10.1177/109442819800100106.
44. Satorra A, Bentler PM. A scaled difference chi-square test statistic for moment structure analysis. Psychometrika 2001; 66(4): 507–514. doi: 10.1007/BF02296192.
45. Bentler PM. Comparative fit indexes in structural models. Psychological Bulletin 1990; 107(2): 238. doi: 10.1037/0033-2909.107.2.238.
46. Steiger JH. Structural model evaluation and modification: An interval estimation approach. Multivariate Behavioral Research 1990; 25(2): 173–180. doi: 10.1207/s15327906mbr2502_4.
47. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal 1999; 6(1): 1–55. doi: 10.1080/10705519909540118.
48. Hair JF, Black WC, Babin BJ, et al. Multivariate data analysis: A global perspective. 7th ed. Upper Saddle River, NJ: Pearson Education; 2010.
49. Bentler PM, Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin 1980; 88(3): 588–606. doi: 10.1037/0033-2909.88.3.588.
50. Hoe SL. Issues and procedures in adopting structural equation modelling technique. Journal of Quantitative Methods 2008; 3(1): 76–83.
51. Henseler J, Ringle C, Sinkovics RR. The use of partial least squares path modeling in international marketing. New Challenges to International Marketing 2009; 20: 277–319. doi: 10.1108/S1474-7979(2009)0000020014.
52. Burnham KP, Anderson DR. Multimodel inference: Understanding AIC and BIC in model selection. Sociological Methods & Research 2004; 33(2): 261–304. doi: 10.1177/0049124104268644.
53. Hair JF, Anderson RE, Tatham RL, et al. Multivariate data analysis. 5th ed. Upper Saddle River, NJ: Prentice Hall; 1998.
54. Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 1981; 18(1): 39–50. doi: 10.1177/00222437810180010.
55. Koufteros XA. Testing a model of pull production: A paradigm for manufacturing research using structural equation modeling. Journal of Operations Management 1999; 17(4): 467–488. doi: 10.1016/S0272-6963(99)00002-9.
56. Voss KE, Spangenberg ER, Grohmann B. Measuring the hedonic and utilitarian dimensions of consumer attitude. Journal of Marketing Research 2003; 40(3): 310–320. doi: 10.1509/jmkr.40.3.310.19.
57. Wieland A, Durach CF, Kembro J, et al. Statistical and judgmental criteria for scale purification. Supply Chain Management: An International Journal 2017; 22(4): 321–328. doi: 10.1108/SCM-07-2016-0230.
58. Zaiţ A, Bertea PSPE. Methods for testing discriminant validity. Management & Marketing Journal 2011; 9(2): 217–224.
59. Diener ED, Emmons RA, Larsen RJ, et al. The satisfaction with life scale. Journal of Personality Assessment 1985; 49(1): 71–75. doi: 10.1207/s15327752jpa4901_13.
60. Spector PE, Jex SM. Development of four self-report measures of job stressors and strain: Interpersonal conflict at work scale, organizational constraints scale, quantitative workload inventory, and physical symptoms inventory. Journal of Occupational Health Psychology 1998; 3(4): 356–367. doi: 10.1037/1076-8998.3.4.356.
61. Rajkumar RP. COVID-19 and mental health: A review of the existing literature. Asian Journal of Psychiatry 2020; 52: 102066. doi: 10.1016/j.ajp.2020.102066.
62. Necho M, Tsehay M, Birkie M, et al. Prevalence of anxiety, depression, and psychological distress among the general population during the COVID-19 pandemic: A systematic review and meta-analysis. International Journal of Social Psychiatry 2021; 67(7): 892–906. doi: 10.1177/00207640211003121.
63. Borghini G, Astolfi L, Vecchiato G, et al. Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness. Neuroscience & Biobehavioral Reviews 2014; 44: 58–75. doi: 10.1016/j.neubiorev.2012.10.003.
64. Boekhorst JA, Singh P, Burke R. Work intensity, emotional exhaustion and life satisfaction: The moderating role of psychological detachment. Personnel Review 2017; 46(5): 891–907. doi: 10.1108/PR-05-2015-0130.
65. Gopala N, Culbertson SS, Leiva PI. Explaining emotional labor’s relationships with emotional exhaustion and life satisfaction: Moderating role of perceived autonomy. Universitas Psychologica 2013; 12(2): 347–356. doi: 10.11144/Javeriana.UPSY12-2.eelr.
66. Talevi D, Socci V, Carai M, et al. Mental health outcomes of the CoViD-19 pandemic. Rivista Di Psichiatria 2020; 55(3): 137–144. doi: 10.1708/3382.33569.
67. Gruber J, Prinstein MJ, Clark LA, et al. Mental health and clinical psychological science in the time of COVID-19: Challenges, opportunities, and a call to action. American Psychologist 2020; 76: 409–426. doi: 10.1037/amp0000707.
68. Lyu Y, Yu Y, Chen S, et al. Positive functioning at work during COVID‐19: Posttraumatic growth, resilience, and emotional exhaustion in Chinese frontline healthcare workers. Applied Psychology: Health and Well‐Being 2021; 13(4): 871–886. doi: 10.1111/aphw.12276.
69. Arnold HJ, Feldman DC. Social desirability response bias in self-report choice situations. Academy of Management Journal 1981; 24(2): 377–385. doi: 10.5465/255848.
70. Zammitti A. Career planning during the COVID-19 pandemic. Training for strengthening courage and career adaptability and lowering fear levels of COVID-19. Psychology Hub 2021; 38(3): 37–46. doi: 10.13133/2724-2943/17586.
DOI: https://doi.org/10.18063/esp.v8.i1.1502
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