Depression in the context of shift work schedule: a systematic review
DOI:
https://doi.org/10.33448/rsd-v11i5.28470Keywords:
Shift Work Schedule; Circadian Rhythm; Depression; Health teaching.Abstract
The circadian rhythm deregulation can result in an alteration in the sleep-wake cycle, causing sleep disturbances and promoting mental and mood disorders development. Conditions that can disrupt this rhythm, such as shift work schedule (SWS) can unbalance neural functioning and favors those professional classes may have a greater tendency to develop depression. In this context, this study aims to carry out a systematic review to understand the relationship between SWS and the risk of depression, so 1,001 articles were selected for eligibility analysis for the study. After an evaluation sequence starting from the title, abstract and complete work, 31 works that responded to the proposed theme were included. Depression was found to be higher in JTT workers such as nurses, company employees, physicians, residents, and firefighters compared to other professionals. The main explanations involve decreased melatonin production, stressful conditions linked to professional activity and lifestyle habits. Thus, it is important to delineate new therapeutic forms, control, prevention, and health promotion for these workers, since the SWS is strongly associated with depression.
References
Angerer, P. et al. (2017). Night Work and the Risk of Depression: A Systematic Review. Deutsches Aerzteblatt Online. 114(24), 404–411. https://doi.org/10.3238/arztebl.2017.0404
Cheung, T., & Yip, P. S. F. (2015). Depression, anxiety and symptoms of stress among Hong Kong nurses: A cross-sectional study. International Journal of Environmental Research and Public Health. 12(9), 11072–11100. https://doi.org/10.3390/ijerph120911072
Da Silva, F. C. T., Neto, M. L. R. (2021). Psychiatric symptomatology associated with depression, anxiety, distress, and insomnia in health professionals working in patients affected by COVID-19: A systematic review with meta-analysis. Progress in Neuro-Psychopharmacology and Biological Psychiatry, v. 104, n. 110057.
Dai, C. et al. (2019). The effect of night shift on sleep quality and depressive symptoms among Chinese nurses. Neuropsychiatric Disease and Treatment. 15: 435–440.
Gong, Y. et al. (2014). Prevalence of anxiety and depressive symptoms and related risk factors among physicians in China: A cross-sectional study. PLoS ONE, 9(7), e103242. https://doi.org/10.1371/journal.pone.0103242.
Hall, A. L. et al. (2019). Effect of work schedule on prospective antidepressant prescriptions in Sweden: A 2-year sex-stratified analysis using national drug registry data. BMJ Open, 9(1), e023247. https://doi.org/10.1136/bmjopen-2018-023247.
Hall, A. L., Franche, R. L., & Koehoorn, M. (2018). Examining exposure assessment in shift work research: A study on depression among nurses. Annals of Work Exposures and Health, 62(2), 182–194. https://doi.org/10.1093/annweh/wxx103.
Han, K. et al. (2019). Changes in health behaviors and health status of novice nurses during the first 2 years of work. Journal of Advanced Nursing, 75(8), 1648–1656. https://doi.org/10.1111/jan.13947.
Jagannath, A. et al. (2017). The genetics of circadian rhythms, sleep, and health. Human Molecular Genetics, 26(R2), R128–R138. https://doi.org/10.1093/hmg/ddx240.
Kalmbach, D. A. et al. (2015). Shift work disorder, depression, and anxiety in the transition to rotating shifts: The role of sleep reactivity. Sleep Medicine, 16(12), 1532–1538. https://doi.org/10.1016/j.sleep.2015.09.007.
Kalmbach, d. A. et al. (2017). Sleep disturbance and short sleep as risk factors for depression and perceived medical errors in first-year residents. Sleep, 40(3), zsw073. https://doi.org/10.1093/sleep/zsw073.
Kang, M. Y. et al. (2017). The relationship between shift work and mental health among electronics workers in South Korea: A cross-sectional study. PLoS ONE, 12(11), e0188019. https://doi.org/10.1371/journal.pone.0188019.
Kassani, A. et al. (2015). Path Analysis of Depression and Quality Of Life Among Nurses. Health Scope, 2015,4(4):e23353. doi: 10.17795/jhealthscope-23353.
Khajehnasiri, F. et al. (2014) Oxidative stress, and depression among male shift workers in shahid tondgouyan refinery. Iranian Journal of Psychiatry, 9(2):76-82.
Kim, H. K. et al. (2017). Influence of shift work on depression disorder using big data. International Journal of Grid and Distributed Computing, 10(10): 79-88. http://dx.doi.org/10.14257/ijgdc.2017.10.10.07.
Krug, M. F. et al. (2017). Changes in Resident Well-Being at One Institution Across a Decade of Progressive Work Hours Limitations. Academic Medicine: journal of the Association of American Medical Colleges, 92(10), 1480–1484. https://doi.org/10.1097/ACM.0000000000001675.
Kubik, B. et al. (2018). Nurses’ health in the context of depressive symptoms. Medical Studies/Studia Medyczne, 34(2), 147-152. https://doi.org/10.5114/ms.2018.76876.
Lee, A. et al. (2017). Night shift work and risk of depression: Meta-analysis of observational studies. Journal of Korean Medical Science, 32(7), 1091–1096. https://doi.org/10.3346/jkms.2017.32.7.1091.
Lim, D. K. et al. (2014). Factors related to sleep disorders among male firefighters. Annals of Occupational and Environmental Medicine, 26, 11. https://doi.org/10.1186/2052-4374-26-11.
Luca, M. et al. (2014). Prevalence of depression and its relationship with work characteristics in a sample of public workers. Neuropsychiatric Disease and Treatment, 10: 519–525. https://doi.org/10.2147/NDT.S56989.
Machado, D. A. et al. (2018). Cognitive changes in nurses working in intensive care units. Revista brasileira de enfermagem [online], 71(1): 73-79. https://doi.org/10.1590/0034-7167-2016-0513.
Marzouk, M. et al. (2018). Prevalence of anxiety and depressive symptoms among medical residents in Tunisia: a cross-sectional survey. BMJ Open, 8(7): e020655. https://doi.org/10.1136/bmjopen-2017-020655.
Moon, H. J. et al. (2015). The association between shift work and depression in hotel workers. Annals of Occupational and Environmental Medicine, 27: 29. https://doi.org/10.1186/s40557-015-0081-0.
Nakata, A. (2017). Long working hours, job satisfaction, and depressive symptoms: a community-based cross-sectional study among Japanese employees in small- and medium-scale businesses. Oncotarget, 8(32), 53041–53052. https://doi.org/10.18632/oncotarget.18084.
Norder, G. et al. (2015). Shift work and mental health sickness absence: a 10-year observational cohort study among male production workers. Scandinavian journal of work, environment & health, 41(4), 413–416. https://doi.org/10.5271/sjweh.3501.
Ogawa, R. et al. (2018). The relationship between long working hours and depression among first-year residents in Japan. BMC Medical Education, 18, 50 (2018). https://doi.org/10.1186/s12909-018-1171-9.
Oliveira, T. et al. (2018). Genetic polymorphisms associated with circadian rhythm dysregulation provide new perspectives on bipolar disorder. Bipolar Disorders, 20(6), 515–522. https://doi.org/10.1111/bdi.12624.
Park, J. N. et al. (2016). Prevalence of depressive symptoms and related factors in Korean employees: The third Korean working conditions survey (2011). International Journal of Environmental Research and Public Health, 13(4), 424. https://doi.org/10.3390/ijerph13040424.
Perry, L. et al. (2015). The mental health of nurses in acute teaching hospital settings: A cross-sectional survey. BMC Nursing, 14, 15. https://doi.org/10.1186/s12912-015-0068-8.
Robillard, R. et al. (2018). Circadian rhythms and psychiatric profiles in young adults with unipolar depressive disorders. Translational Psychiatry, 8(1), 213. https://doi.org/10.1038/s41398-018-0255-y.
Saquib, N. et al. (2019). Association of cumulative job dissatisfaction with depression, anxiety and stress among expatriate nurses in Saudi Arabia. Journal of Nursing Management, 27(4), 740–748. https://doi.org/10.1111/jonm.12762.
Sorengaard, T. A., Saksvik-Lehouillier, I., & Langvik, E. (2019). Longitudinal and cross-sectional examination of the relationship between personality and fatigue among shift workers. Cogent Psychology, 6(1): 1574095. https://doi.org/10.1080/23311908.2019.1574095.
Thun, E. et al. (2014). Night work and symptoms of anxiety and depression among nurses: A longitudinal study. Work and Stress, 28(4): 376-386. https://doi.org/10.1080/02678373.2014.969362.
Tomljenovic, M. et al. (2014). Stress, depression and burnout among hospital physicians in Rijeka, Croatia. Psychiatria Danubina, 26(3): 450–458.
Tsaras, K. et al. (2018). Predicting Factors of Depression and Anxiety in Mental Health Nurses: A Quantitative Cross-Sectional Study. Medical archives (Sarajevo, Bosnia, and Herzegovina), 72(1), 62–67. https://doi.org/10.5455/medarh.2017.72.62-67.
Wirth, M. D. et al. (2017). The dietary inflammatory index, shift work, and depression: Results from NHANES. Health Psychology: official journal of the Division of Health Psychology, American Psychological Association, 36(8), 760–769. https://doi.org/10.1037/hea0000514.
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Copyright (c) 2022 Antonio Thomaz de Oliveira; Ana Indygriani Rodrigues; Dayla Cristine Dutra Carvalho; Leonardo Fontineles de Lima; Valécia Natália Carvalho da Silva; Hoanna Izabely Rego Castro; Thayaná Ribeiro Silva Fernandes; Jacks Renan Neves Fernandes; Valéria de Fátima Veras de Castro; Francisco Magalhães
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