DOI QR코드

DOI QR Code

Associations between Poorer Mental Health with Work-Related Effort, Reward, and Overcommitment among a Sample of Formal US Solid Waste Workers during the COVID-19 Pandemic

  • Abas Shkembi (Department of Environmental Health Sciences, School of Public Health, University of Michigan) ;
  • Aurora B. Le (Department of Environmental Health Sciences, School of Public Health, University of Michigan) ;
  • Richard L. Neitzel (Department of Environmental Health Sciences, School of Public Health, University of Michigan)
  • 투고 : 2022.07.25
  • 심사 : 2023.01.29
  • 발행 : 2023.03.30

초록

Background: Effort-reward imbalance (ERI) and overcommitment at work have been associated poorer mental health. However, nonlinear and nonadditive effects have not been investigated previously. Methods: The association between effort, reward, and overcommitment with odds of poorer mental health was examined among a sample of 68 formal United States waste workers (87% male). Traditional, logistic regression and Bayesian Kernel machine regression (BKMR) modeling was conducted. Models controlled for age, education level, race, gender, union status, and physical health status. Results: The traditional, logistic regression found only overcommitment was significantly associated with poorer mental health (IQR increase: OR = 6.7; 95% CI: 1.7 to 25.5) when controlling for effort and reward (or ERI alone). Results from the BKMR showed that a simultaneous IQR increase in higher effort, lower reward, and higher overcommitment was associated with 6.6 (95% CI: 1.7 to 33.4) times significantly higher odds of poorer mental health. An IQR increase in overcommitment was associated with 5.6 (95% CI: 1.6 to 24.9) times significantly higher odds of poorer mental health when controlling for effort and reward. Higher effort and lower reward at work may not always be associated with poorer mental health but rather they may have an inverse, U-shaped relationship with mental health. No interaction between effort, reward, or overcommitment was observed. Conclusion: When taking into the consideration the relationship between effort, reward, and overcommitment, overcommitment may be most indicative of poorer mental health. Organizations should assess their workers' perceptions of overcommitment to target potential areas of improvement to enhance mental health outcomes.

키워드

과제정보

The authors thank the site supervisors and workers at solid waste facilities in southeast Michigan, USA for collaborating with us on this research. The authors also thank Jason Golec and Anna Sturgis at the University of Michigan School of Public Health for their assistance with site recruitment and data entry. The authors thank Shawn Gibbs at Texas A&M University for providing his subject matter expertise for this project.

참고문헌

  1. Kalimo R, el Batawi MA, Cooper CL. In: Kalimo Raija, Mostafa A. El-Batawi, Cooper Cary L, editors. Psychosocial factors at work and their relation to health 1987. 
  2. Siegrist J. Adverse health effects of high-effort/low-reward conditions. Journal of Occupational Health Psychology 1996;1:27-41. https://doi.org/10.1037/1076-8998.1.1.27. 
  3. Tsutsumi A, Kawakami N. A review of empirical studies on the model of effort-reward imbalance at work: reducing occupational stress by implementing a new theory. Social Science & Medicine 2004;59:2335-59. https://doi.org/10.1016/j.socscimed.2004.03.030. 
  4. Kinman G. Effort-reward imbalance and overcommitment in UK academics: implications for mental health, satisfaction and retention. Journal of Higher Education Policy and Management 2016;38:504-18. https://doi.org/10.1080/1360080X.2016.1181884. 
  5. Tang JJ, Leka S, MacLennan S. The psychosocial work environment and mental health of teachers: a comparative study between the United Kingdom and Hong Kong. International Archives of Occupational and Environmental Health 2013;86:657-66. https://doi.org/10.1007/s00420-012-0799-8. 
  6. Bourbonnais R, Jauvin N, Dussault J, Vezina M. Psychosocial work environment, interpersonal violence at work and mental health among correctional officers. International Journal of Law and Psychiatry 2007;30:355-68. https://doi.org/10.1016/j.ijlp.2007.06.008. 
  7. Kikuchi Y, Nakaya M, Ikeda M, Narita K, Takeda M, Nishi M. Effort-reward imbalance and depressive state in nurses. Occupational Medicine 2010;60:231-3. https://doi.org/10.1093/occmed/kqp167. 
  8. Le AB, Shkembi A, Sturgis AC, Tadee A, Gibbs SG, Neitzel RL. Effort-reward imbalance among a sample of formal US solid waste workers. International Journal of Environmental Research and Public Health 2022;19:6791. https://doi.org/10.3390/ijerph19116791. 
  9. Seigrist J. Effort-reward imbalance at work - theory, measurement and evidence. Dusseldorf: Department of Medical Sociology, University Dusseldorf; 2012. 
  10. Bobb JF, Valeri L, Claus Henn B, Christiani DC, Wright RO, Mazumdar M, et al. Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. Biostatistics 2015;16:493-508. https://doi.org/10.1093/biostatistics/kxu058. 
  11. Preston EV, Webster TF, Claus Henn B, McClean MD, Gennings C, Oken E, et al. Prenatal exposure to per- and polyfluoroalkyl substances and maternal and neonatal thyroid function in the Project Viva Cohort: a mixtures approach. Environment International 2020;139:105728. https://doi.org/10.1016/j.envint.2020.105728. 
  12. Cathey AL, Eaton JL, Ashrap P, Watkins DJ, Rosario ZY, Velez Vega C, et al. Individual and joint effects of phthalate metabolites on biomarkers of oxidative stress among pregnant women in Puerto Rico. Environment International 2021;154:106565. https://doi.org/10.1016/j.envint.2021.106565. 
  13. Li H, Deng W, Small R, Schwartz J, Liu J, Shi L. Health effects of air pollutant mixtures on overall mortality among the elderly population using Bayesian kernel machine regression (BKMR). Chemosphere 2022;286:131566. https://doi.org/10.1016/j.chemosphere.2021.131566. 
  14. Shkembi A, Smith LM, Le AB, Neitzel RL. Noise exposure and mental workload: evaluating the role of multiple noise exposure metrics among surface miners in the US Midwest. Applied Ergonomics 2022;103:103772. https://doi.org/10.1016/j.apergo.2022.103772. 
  15. Siegrist J, Li J, Montano D. Psychometric properties of the effort-reward imbalance questionnaire. Germany: Duesseldorf University; 2014. 
  16. Wu L, Cui F, Ma J, Huang Z, Zhang S, Xiao Z, Lie J, Ding X, Niu P. Associations of multiple metals with lung function in welders by four statistical models. Chemosphere 2022;298:134202. https://doi.org/10.1016/j.chemosphere.2022.134202. 
  17. Ndjaboue R, Brisson C, Vezina M, Blanchette C, Bourbonnais R. Effort-reward imbalance and medically certified absence for mental health problems: a prospective study of white-collar workers. Occupational and Environmental Medicine 2014;71:40-7. https://doi.org/10.1136/oemed-2013-101375. 
  18. Barrech A, Riedel N, Li J, Herr RM, Mortl K, Angerer P, et al. The long-term impact of a change in EfforteReward imbalance on mental health-results from the prospective MAN-GO study. European Journal of Public Health 2017;27:1021-6. https://doi.org/10.1093/eurpub/ckx068. 
  19. Porru F, Robroek SJW, Bultmann U, Portoghese I, Campagna M, Burdorf A. Mental health among university students: the associations of effort-reward imbalance and overcommitment with psychological distress. Journal of Affective Disorders 2021;282:953-61. https://doi.org/10.1016/j.jad.2020.12.183. 
  20. Hilger-Kolb J, Diehl K, Herr R, Loerbroks A. Effort-reward imbalance among students at German universities: associations with self-rated health and mental health. International Archives of Occupational and Environmental Health 2018;91:1011-20. https://doi.org/10.1007/s00420-018-1342-3. 
  21. Godin I, Kittel F, Coppieters Y, Siegrist J. A prospective study of cumulative job stress in relation to mental health. BMC Public Health 2005;5:67. https://doi.org/10.1186/1471-2458-5-67. 
  22. Niedhammer I, Chastang J-F, David S, Barouhiel L, Barrandon G. Psychosocial work environment and mental health: job-strain and effort-reward imbalance models in a context of major organizational changes. International Journal of Occupational and Environmental Health 2006;12:111-9. https://doi.org/10.1179/oeh.2006.12.2.111. 
  23. Hossain MM, Tasnim S, Sultana A, Faizah F, Mazumder H, Zou L, et al. Epidemiology of mental health problems in COVID-19: a review. F1000Res 2020;9:636. https://doi.org/10.12688/f1000research.24457.1. 
  24. Deguchi M, Chie M. Voices of sanitation workers in Japan amidst the COVID-19 pandemic. The Asia-Pacific Journal 2020;18:5485. 
  25. Haque MdR, Khan MdMA, Rahman MdM, Rahman MS, Begum SA. Mental health status of informal waste workers during the COVID-19 pandemic in Bangladesh. PLOS ONE 2022;17:e0262141. https://doi.org/10.1371/journal.pone.0262141. 
  26. Patwary MM, Hossain MR, Shuvo FK, Ashraf S, Sultana R, Alam MA. Protecting sanitation workers in low-middle income countries amid COVID-19. Annals of Work Exposures and Health 2021;65:492-3. https://doi.org/10.1093/annweh/wxaa128. 
  27. Zhang J, Wang Y, Xu J, You H, Li Y, Liang Y, et al. Prevalence of mental health problems and associated factors among front-line public health workers during the COVID-19 pandemic in China: an effort-reward imbalance model-informed study. BMC Psychology 2021;9:55. https://doi.org/10.1186/s40359-021-00563-0. 
  28. Limm H, Gundel H, Heinmuller M, Marten-Mittag B, Nater UM, Siegrist J, et al. Stress management interventions in the workplace improve stress reactivity: a randomised controlled trial. Occupational and Environmental Medicine 2011;68:126-33. https://doi.org/10.1136/oem.2009.054148. 
  29. Bourbonnais R, Brisson C, Vezina M. Long-term effects of an intervention on psychosocial work factors among healthcare professionals in a hospital setting. Occupational and Environmental Medicine 2011;68:479-86. https:// doi.org/10.1136/oem.2010.055202. 
  30. DeSalvo KB, Fisher WP, Tran K, Bloser N, Merrill W, Peabody J. Assessing measurement properties of two single-item general health measures. Quality of Life Research 2006 Mar;15(2):191-201.  https://doi.org/10.1007/s11136-005-0887-2
  31. Cunny KA, Perri III M. Single-item vs multiple-item measures of health-related quality of life. Psychological Reports 1991 Aug;69(1):127-30.  https://doi.org/10.2466/pr0.1991.69.1.127
  32. Fisher GG, Matthews RA, Gibbons AM. Developing and investigating the use of single-item measures in organizational research. Journal of Occupational Health Psychology 2016 Jan;21(1):3.