Work-related mental health: current state of the art (literature review)
- 作者: Bukhtiyarov I.V.1, Denisov E.I.1, Zhovnerchuk E.V.1,2, Serikov V.V.1, Khatin D.E.1, Moskovenko A.V.1
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隶属关系:
- Izmerov Research Institute of Occupational Health
- Academy of Postgraduate Education of the Federal Medical Biological Agency
- 期: 卷 100, 编号 11 (2021)
- 页面: 1236-1243
- 栏目: OCCUPATIONAL HEALTH
- ##submission.datePublished##: 06.12.2021
- URL: https://medjrf.com/0016-9900/article/view/638743
- DOI: https://doi.org/10.47470/0016-9900-2021-100-11-1236-1243
- ID: 638743
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Introduction. Mental health is an integral part of health, and its disorders are fraught with social and economic costs for the individual and society. According to WHO, depression is the most common disease and the leading cause of disability globally; it affects 350 million people. The analysis of new data and concepts on these issues is relevant.
The aim of the work is to study the problem of stress at work and mental health disorders with an analysis of the concept of allostasis and allostatic load as an integral indicator of stress.
A literature search was conducted through September 2020 using the Scopus (https://www.scopus.com/home.uri) and MedLine/PubMed (https://www.ncbi.nlm.nih.gov/PubMed) scientific literature databases. Key search terms included “mental health problems,” “mental health in the workplace,” “working condition,” “anxiety,” “burnout,” and “depression. Full-text articles published in English in journals with DOIs were reviewed.
There are considered work-related stressors, also called psychosocial risks. Data on the types and amounts of medico-social damage from mental health disorders in European countries and the United States are presented. The Italian experience in limiting work-related stress is reviewed in detail. There are given examples of legislation to restrict psychosocial risks at work in European countries, as well as patterns of recognition of the connection between mental disorders and work. The biomedical paradigm shift — from homeostasis to allostasis — is analyzed, and allostasis and allostatic load is described as integral indicator of chronic work stress. Despite an abundance of work on anxiety and depression, there is no unity in the literature in understanding the mechanisms and stages of mental health disorders from stress at work. It is not clear what better reflects the effects of chronic work-related stress: allostatic stress or metabolic syndrome. Stress, depression and burnout — what is the relation between them? We can discuss a logical chain: occupational risk factors — fatigue, stress — depression, burnout, health disorder, and occupational deformity. The questions of ICD-11, expected to appear in 2021, and, in particular, burnout syndrome, are outlined. The possibilities of information technologies and the Internet in preventing and treating mental health disorders are considered.
Conclusions. The increasing role of stress problems in the life of modern society is noted. The methods of psychosocial risk factors limitation and mental health disorders diagnostics need to be developed. Internet-based programs for the preservation and promotion of mental health (e-MentalHealth) are promising.
Contribution:
Bukhtiyarov I.V. — editing the text;
Denisov E.I. — concept, research design, literature data collection, text writing, material collection and data processing;
Zhovnerchuk E.V. — text writing, editing, responsibility for the integrity of all parts of the article; Serikov V.V. – text writing, editing;
Khatin D.E. — text writing, editing, collection of literature data;
Moskovenko A.V. — editing.
All authors are responsible for the integrity of all parts of the manuscript and approval of the manuscript final version.
Conflict of interest. The authors declare no conflict of interest.
Acknowledgement. The study had no sponsorship.
Received: May 13, 2021 / Accepted: September 28, 2021 / Published: November 30, 2021
作者简介
Igor Bukhtiyarov
Izmerov Research Institute of Occupational Health
编辑信件的主要联系方式.
Email: noemail@neicon.ru
ORCID iD: 0000-0002-8317-2718
俄罗斯联邦
Eduard Denisov
Izmerov Research Institute of Occupational Health
Email: noemail@neicon.ru
ORCID iD: 0000-0002-2771-1617
俄罗斯联邦
Evgeny Zhovnerchuk
Izmerov Research Institute of Occupational Health; Academy of Postgraduate Education of the Federal Medical Biological Agency
Email: noemail@neicon.ru
ORCID iD: 0000-0002-7078-7238
俄罗斯联邦
Vasiliy Serikov
Izmerov Research Institute of Occupational Health
Email: vasiliy_serikov@mail.ru
ORCID iD: 0000-0001-7523-4686
Канд. психол. наук, зав. лаб. физиологии и профилактической эргономики ФГБНУ «Научно-исследовательский институт медицины труда им. академика Н.Ф. Измерова», 105275, Москва.
e-mail: vasiliy_serikov@mail.ru
俄罗斯联邦Dmitry Khatin
Izmerov Research Institute of Occupational Health
Email: noemail@neicon.ru
ORCID iD: 0000-0003-2491-0204
俄罗斯联邦
Alexey Moskovenko
Izmerov Research Institute of Occupational Health
Email: noemail@neicon.ru
ORCID iD: 0000-0003-4674-1886
俄罗斯联邦
参考
- WHO. Basic documents, 47th ed. Geneva; 2009.
- WHO. Strengthening mental health promotion. Fact sheet, No. 220. Geneva, World Health Organization, 2018. https://www.who.int/news-room/fact-sheets/detail/mental-health-strengthening-our-response
- Khaitan S.K., McCalley J.D. Design techniques and applications of cyber physical systems: a survey. IEEE Systems Journal. 2015; 9(2): 350–65.
- Hanis T., Smith A., Senegal J., Greenlee K. Building a smarter medical device monitoring solution. Smarter Planet solutions with sensor monitoring. Part 3. DeveloperWorks archives; 2010: 1–19.
- Banerjee A., Gupta S.K.S., Fainekos G., Varsamopoulos G. Towards modeling and analysis of cyber-physical medical systems. In: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 11). New York; 2011: 154. https://doi.org/10.1145/2093698.2093852
- Lee E.A. The Past, present and future of cyber-physical systems: A focus on models. Sensors (Basel). 2015; 15(3): 4837–69. https://doi.org/10.3390/s150304837
- Zegzhda D.P., Pavlenko E.Yu. Estimation and maintenance of stability of management of cyberphysical systems in the conditions of computer attacks. In: XIII All-Russian Meeting on Management Problems [XIII Vserossiyskoe soveshchanie po problemam upravleniya VSPU-2019]. Moscow; 2019: 2545–9. (in Russian)
- Seiger R., Huber S., Heisig P., Assmann U. Enabling self-adaptive workflows for cyber-physical systems. In: Lecture Notes in Business Information Processing. 2016; 248: 3–17.
- Zegzhda D.P., Pavlenko E.Yu. Cyber-physical system homeostatic security management. Aut. Control Comp. Sci. 2017; 51: 805–16. https://doi.org/10.3103/S0146411617080260
- Yu V.L., Fagan L.M., Wraith S.M., Clancey W.J., Scott A.C., Hannigan J., et al. Antimicrobial selection by a computer. A blinded evaluation by infectious diseases experts. JAMA. 1979; 242(2): 1279–82. https://doi.org/10.1001/jama.1979.03300120033020
- Starodubtsev A.A. Decision support system. Aktual’nye problemy aviatsii i kosmonavtiki. 2016; 2(12): 99–101. (in Russian)
- Kolesnikova A.S., Fedonnikov A.S., Kirillova I.V., Ulyanov V.Yu., Levchenko K.K., Kireev S.I., et al. The possibilities with decision support systems in surgery of spine-pelvic complex (analytical review). Geniy ortopedii. 2019; 25(2): 243–53. https://doi.org/10.18019/1028-4427-2019-25-2-243-253 (in Russian)
- Greenes R.A., ed. Clinical Decision Support: The Road Ahead. Elsevier; 2007.
- Zaripova G.R., Bogdanova Yu.A., Kataev V.A., Khanov V.O. Modern models of the expert systems making support medical decisions in prediction of operational risk in surgical practice. Tavricheskiy mediko-biologicheskiy vestnik. 2016; 19(4): 140–5. (in Russian)
- Roslyakov A.V., ed. Internet of Things [Internet veshchey]. Samara: As Gard; 2014. (in Russian)
- McEwen A., Cassimally H. Designing the Internet of Things. Wiley & Sons; 2014.
- Trends Emerge in the Gartner Hype Cycle for Emerging Technologies. Smarter With Gartner; 2018. Available at: https://www.gartner.com/smarterwithgartner/5-trends-emerge-in-gartner-hype-cycle-for-emerging-technologies-2018/
- Manyika J., Chui M., Bisson P., Woetzel J., Dobbs R., Bughin J., et al. The Internet of Things: Mapping the Value Beyond the Hype. McKinsey Global Institute; 2015. Available at: https://www.mckinsey.com/~/media/McKinsey/Industries/Technology%20Media%20and%20Telecommunications/High%20Tech/Our%20Insights/The%20Internet%20of%20Things%20The%20value%20of%20digitizing%20the%20physical%20world/Unlocking_the_potential_of_the_Internet_of_Things_Executive_summary.ashx
- Six major trends in digital medicine 2019. First Line Software; 2019. https://firstlinesoftware.ru/news/6-glavnyhtrendov-cifrovoj-mediciny-2019/ (in Russian)
- Kupriyanovskiy V.P., Namnot E.D., Sinyagov S.A. Cyber-physical systems as a base of digital economy. Int. J. Open Inf. Technol. 2016; 4(2): 18–25. (in Russian)
- Government of the Russian Federation. Digital economy of the Russian Federation. 2017. Available at: https://www.tadviser.ru/images/a/af/9gFM4FHj4PsB79I5v7yLVuPgu4bvR7M0.pdf (in Russian)
- Selye H. Stress Without Distress. Philadelphia-New York; 1974.
- Sudakov K.V. Emotional stress. In: Petrovskiy B.V., ed. Great Medical Encyclopedia. Volume 28 [Bol’shaya meditsinskaya entsiklopediya. Tom 28]. Available at: https://bme.org/index.php/EMOTsIONAL’’NYY_STRESS (in Russian)
- Denisov E.I., Pfaf V.F., Stepanyan I.V., Gorokhova S.G. The shift of medical and biological paradigm: From homeostasis to allostasis. Neyrokomp’yutery: razrabotka i primenenie. 2016; (2): 16–21. (in Russian)
- Workplace stress: A collective challenge. World Day for Safety and Health at Work 28 April 2016. Geneva: ILO; 2016.
- Ramazzini B. De morbis artificum diatriba. Ultrajecti: Guilielmum van de Water; 1709.
- Cimaglia G., Goggiamani A., Orsini D. Medical-legal criteriology for the recognition and compensation of stress-related diseases INAIL protection. In: Conference of the European Forum. Copenhagen; 2008.
- Aiello A., Tesi A. Gestire lo stress da lavorocorrelato. In: Giannini M., Bellandi G., eds. La gestione integrata delle risorse umane nelle organizzazioni. Pisa University Press; 2016. Available at: https://www.researchgate.net/publication/305764222_Gestire_lo_stress_da_lavoro_correlato
- Hewlett E., Moran V. Making mental health count: The social and economic costs of neglecting mental health care. OECD Health Policy Studies. 2014; 246. https://doi.org/10.1787/9789264208445-en
- Recommendation of the Council on integrated mental health, skills and work policy. Series: OECD legal instruments OECD/LEGAL/0420; 2020. Available at: https://legalinstruments.oecd.org/en/instruments/334
- Andlin-Sobocki P., Jonsson B., Wittchen H.U., Olesen J. Cost of disorders of the brain in Europe. Eur. J. Neurol. 2005; 12 (Suppl. 1): 1–27.
- Leal J., Luengo-Fernández R., Gray A., Petersen S., Rayner M. Economic burden of cardiovascular diseases in the enlarged European Union. Eur. Heart J. 2006; 27(13): 1610–9. https://doi.org/10.1093/eurheartj/ehi733
- EUROGIP. Risquespsychosociaux au travail: uneproblématiqueeuropéenne. EUROGIP-47/F; 2010.
- Fransson E.I., Nyberg S.T., Heikkilä K., Alfredsson L., Bjorner J.B., Borritz M., et al. Job strain and the risk of stroke: An individual-participant data meta-analysis. Stroke. 2015; 46(2): 557–9. https://doi.org/10.1161/STROKEAHA.114.008019
- Kazakovtsev B.A., Demcheva N.K., Kakorina E.P. Injuries, poisonings and other external influences as predictors of mental health indicators in Russia. Psikhicheskoe zdorov’e. 2017; 15(3): 9–15. (in Russian)
- National Institute of Mental Health. Mental illness website. Available at: https://www.nimh.nih.gov/index.shtml
- Stewart W.F., Ricci J.A., Chee E., Hahn S.R., Morganstein D. Cost of lost productive work time among US workers with depression. JAMA. 2003; 289(23): 3135–44. https://doi.org/10.1001/jama.289.23.3135
- Leigh J.P., Cone J.E., Harrison R. Costs of occupational injuries and illnesses in California. Prev. Med. 2001; 32(5): 393–406. https://doi.org/10.1006/pmed.2001.0841
- Merikangas K.R., Ames M., Cui L., Ustun T.B., Von Korff M., Kessler R.C. The impact of comorbidity of mental and physical conditions on role disability in the US adult household population. Arch. Gen. Psychiatry. 2007; 64(10): 1180–8. https://doi.org/10.1001/archpsyc.64.10.1180
- Pavlov I.P. Nobel speech. In: «Nobel Lectures - 100 years: Physiology and Medicine». Volume 1 (1901-1909) [«Nobelevskie lektsii – 100 let: Fiziologiya i meditsina». Tom 1 (1901-1909)]. Moscow: GEOTAR-Media; 2006. (in Russian)
- Bukhtiyarov I.V., Rubtsov M.Yu., Chesalin P.V. Clerkship’s occupational stress evaluation reliability. Ekologiya cheloveka. 2012; (11): 20–6. (in Russian)
- Ustyantsev S.L. Entropy management in the body to reduce work severity and intensity. Meditsina truda i ekologiya cheloveka. 2015; (3): 216–20. (in Russian)
- Scott K.M., Lim C., Al-Hamzawi A., Alonso J., Bruffaerts R., Caldas-de-Almeida J.M., et al. Association of mental disorders with subsequent chronic physical conditions: work mental health surveys from 17 countries. JAMA Psychiatry. 2016; 73(2): 150–8. https://doi.org/10.1001/jamapsychiatry.2015.2688
- Lerner D., Henke R.M. What does research tell us about depression, job performance, and work productivity? J. Occup. Environ. Med. 2008; 50(4): 401–10. https://doi.org/10.1097/jom.0b013e31816bae50
- Cynthia D., Nordal K.C., Ballard D.W., Bufka L.F., Diaz-Granados J. Stress in America: Coping with Change, Part 1. Washington: American Psychological Association; 2017.
- Diagnostic and statistical manual of mental disorders. 5th ed. American Psychiatric Association; 2013. https://doi.org/10.1176/appi.books.9780890425596
- Shattell M., Apostolopoulos Y., Collins C., Sevil S. Trucking organization and mental health disorders of truck drivers. Issues Ment. Health Nurs. 2012; 33(7): 436–44. https://doi.org/10.3109/01612840.2012.665156
- Work-related stress, anxiety or depression statistics in Great Britain, 2019. Health and Safety Executive; 2019. Available at: https://www.hse.gov.uk/statistics/causdis/stress.pdf
- Tackling work-related stress using the management standards approach. A step-by-step workbook. Health and Safety Executive; 2019.
- Sicherheit und Gesundheit bei der Arbeit – Berichtsjahr 2018. Unfallverhütungsbericht Arbeit. Dortmund: Bundesanstalt für Arbeitsschutz und Arbeitsmedizin; 2020. https://doi.org/10.21934/baua:bericht20191115 (in German)
- Antares Foundation. Gestion du stress chez les travailleurshumanitaires. Guide de bonnes pratiques. Amsterdam: Pays-Bas; 2012.
- Stone C., Ding Y. We must continue to tease out the role of stress in the development of disease. Env. Dis. 2016; 1(4): 207–8. https://doi.org/10.4103/2468-5690.198610
- EUROGIP. Pathologies psychiques et travail en Europe. Actes des Débatsd’EUROGIP du 24.03.2016. Paris; 2016.
- Bukhtiyarov I.V., Zhovnerchuk E.V., Serikov V.V., Khatin D.E. Cyberphysical diagnosis of risk factors for borderline mental states. Psikhicheskoe zdorov’e. 2020; (8): 30–8. https://doi.org/10.25557/2074-014X.2020.08.30-38 (in Russian)
- Sterling P. Allostasis: A model of predictive regulation. Physiol. Behav. 2012; 106(1): 5–15. https://doi.org/10.1016/j.physbeh.2011.06.004
- Karjalainen A. International statistical classification of diseases and related health problems (ICD-10) in occupational health. WHO/SDE/OEH/99.11. Geneva; 1999. Available at: https://apps.who.int/iris/handle/10665/66100
- Freudenberger H.J. Staf burn-out. J. Soc. Iss. 1974; 30: 159–65.
- Maslach C. Burned-out. Hum. Behav. 1976; (5): 16–22.
- Maslach C. What have we learned about burnout and health? Psychol. Health. 2001; 16(5): 607–11. https://doi.org/10.1080/08870440108405530
- Ahola K. Occupational burnout and health. People and Work Research Reports 81. Helsinki: Finnish Institute of Occupational Health; 2007. Available at: https://www.researchgate.net/publication/47931325
- Schonfeld I.S., Bianchi R. Burnout and depression: Two entities or one? J. Clin. Psychol. 2016; 72(1): 22–37. https://doi.org/10.1002/jclp.22229
- Andersson G., Cuijpers P. Internet-based and other computerized psychological treatments for adult depression: a meta-analysis. Cogn. Behav. Ther. 2009; 38(4): 196–205. https://doi.org/10.1080/16506070903318960
- Clarke G., Kelleher C., Hornbrook M., Debar L., Dickerson J., Gullion C. Randomized effectiveness trial of an Internet, pure self-help, cognitive behavioral intervention for depressive symptoms in young adults. Cogn. Behav. Ther. 2009; 38(4): 222–34. https://doi.org/10.1080/16506070802675353
- Johansson R., Andersson G. Internet-based psychological treatments for depression. Exp. Rev. Neurother. 2012; 12(7): 861–9. https://doi.org/10.1586/ern.12.63
- Karyotaki E., Kleiboer A., Smit F., Turner D.T., Pastor A.M., Andersson G., et al. Predictors of treatment dropout in self-guided web-based interventions for depression: an ‘individual patient data’ meta-analysis. Psychol. Med. 2015; 45(13): 2717–26. https://doi.org/10.1017/S0033291715000665
- Kolb S., Wengenroth L., Hege I., Praml G., Nowak D., Cantineau J., et al. Case based e-learning in occupational medicine – a European approach. J. Occup. Environ. Med. 2009; 51(6): 647–53.
- Schonfeld I.S., Chang C.H. Occupational Health Psychology: Work, Stress and Health. New York, NY: Springer Publishing Co.; 2017.
- Molen van der H.F., Nieuwenhuijsen K., Frings-Dresen M.H.W., Groene de G. Work-related psychosocial risk factors for stress-related mental disorders: an updated systematic review and meta- analysis. BMJ Open. 2020; 10(7): e034849. https://doi.org/10.1136/bmjopen-2019-034849
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