Biomarkers of chronic stress in assessing the health status in employees at metal processing enterprises
- 作者: Bezrukova G.A.1, Novikova T.A.1, Kochetova N.А.1
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隶属关系:
- Saratov Hygiene Medical Research Center
- 期: 卷 103, 编号 11 (2024)
- 页面: 1278-1285
- 栏目: OCCUPATIONAL HEALTH
- ##submission.datePublished##: 15.12.2024
- URL: https://archivog.com/0016-9900/article/view/646106
- DOI: https://doi.org/10.47470/0016-9900-2024-103-11-1278-1285
- EDN: https://elibrary.ru/nlysef
- ID: 646106
如何引用文章
详细
Introduction. Currently, biomarkers (BMs) of chronic stress and their integral indicators are successfully used in prenosological diagnostics and prediction of progressing of chronic diseases and assessing impacts exerted on health by various environmental factors, including occupational ones.
Materials and methods. We used male workers employed at a metal processing enterprise as an example to examine influence exerted by duration of work under harmful conditions on BM trend and integral indicators of their adaptive conjugacy. The examined workers were aged between 24 and 65 years and their work records varied from 1 to 47 years. The analyzed indicators included the number of significant correlations, the weight of the correlation graph (CG), and correlation adaptation coefficient (CAC). Statistical analysis was performed using the Statistica 10.0 software package.
Results. We determined the average level of 16 individual BMs and 5 integral indicators of neuroendocrine, immunoinflammatory and metabolic processes and functional activity of the cardiovascular system in different age groups of subjects (< 10 years; 10–19 years; 20–29 years; ≥ 30). As a result, we established record-dependent elevated levels of cortisol, C-reactive protein and pro-inflammatory cytokines, cholesterol atherogenicity coefficient, blood pressure, body mass index and waist circumference. The highest values of the latter, above the reference limits, were determined in workers with work records ≥ 30 years. The risk group with the greatest adaptive tension consisted of workers with work records of 20–29 years. The lowest values of G and CCA, identified in workers who had to experience harmful working conditions for ≥ 30 years, could indicate a breakdown of adaptation mechanisms and the body’s transition to a state of allostasis.
Limitations. The study included only male blue-collar workers.
Conclusions. Poly-biomarker approach, including correlation adaptometry, is a preferable tool for population assessment of impacts exerted by duration of contacts with harmful occupational factors as opposed to determining levels of individual BMs.
Compliance with ethical standards. The study was conducted after obtaining informed consent from the examined workers and was approved by the local ethical committee of the Saratov International Research Center for Hygiene, Federal Scientific Center for Medical and Preventive Health Risk Management Technologies (protocol No. 3 dated December 02, 2024).
Contribution:
Bezrukova G.A. — the study concept, data collection and analysis, writing the text, references, and editing the text;
Novikova T.A. — data collection and analysis, writing the text, and references;
Kochetova N.A. — data collection and analysis.
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: August 13, 2024 / Revised: August 29, 2024 / Accepted: November 19, 2024 / Published: December 17, 2024
作者简介
Galina Bezrukova
Saratov Hygiene Medical Research Center
Email: bezrukovagala@yandex.ru
DSc (Medicine), chief researcher of the Department of occupational medicine, Saratov Hygiene Medical Research Center, Saratov, 410022, Russian Federation
e-mail: bezrukovagala@yandex.ru
Tamara Novikova
Saratov Hygiene Medical Research Center
Email: novikovata-saratov@yandex.ru
PhD (Biology), associate professor, head of the Laboratory of occupational health, Saratov Hygiene Medical Research Center, Saratov, 410022, Russian Federation
e-mail: novikovata-saratov@yandex.ru
Natalya Kochetova
Saratov Hygiene Medical Research Center
编辑信件的主要联系方式.
Email: kochetova_kna@mail.ru
Engineer of the Department of Occupational Medicine, Saratov Hygiene Medical Research Center, Saratov, 410022, Russian Federation
e-mail: kochetova_kna@mail.ru
参考
- Burr H. Monitoring trends in psychosocial and physical working conditions: Challenges and suggestions for the 21st century. Scand. J. Work. Environ. Health. 2021; 47(5): 329–33. https://doi.org/10.5271/sjweh.3973
- Felknor S.A., Streit J.M.K., McDaniel M., Schulte P.A., Chosewood L.C., Delclos G.L., et al. On behalf of the workshop presenters and participants. How will the future of work shape OSH research and practice? A workshop summary. Int. J. Environ. Res. Public Health. 2021; 18(11): 5696. https://doi.org/10.3390/ijerph18115696
- GBD 2017. Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018; 392(10159): 1923–94. https://doi.org/10.1016/S0140-6736(18)32225-6
- Aronsson G., Theorell T., Grape T., Hammarström A., Hogstedt C., Marteinsdottir I., et al. A systematic review including meta-analysis of work environment and burnout symptoms. BMC Public. Health. 2017; 17(1): 264. https://doi.org/10.1186/s12889-017-4153-7
- Lukan J., Bolliger L., Pauwels N.S., Luštrek M., Bacquer D., Clays E. Work environment risk factors causing day-to-day stress in occupational settings: a systematic review. BMC Public Health. 2022; 22(1): 240. https://doi.org/10.1186/s12889-021-12354-8
- O’Connor D.B., Thayer J.F., Vedhara K. Stress and health: a review of psychobiological processes. Annu. Rev. Psychol. 2021; 72: 663–88. https://doi.org/10.1146/annurev-psych-062520-122331
- Drapkina O.M., Maslennikova G.Ya., Shepel R.N., Kutishenko N.P., Salagay O.O. Priority areas for the prevention of non-communicable diseases on the agenda of the 75th world health assembly: plans for the future. Profilakticheskaya meditsina. 2022; 25(6): 7–11. https://doi.org/10.17116/profmed2022250617 https://elibrary.ru/myejsm (in Russian)
- Bukhriayrov I.V., Kuzmina L.P., Izmerova N.I., Golovkova N.P., Nepershina O.P. Improvement of mechanisms of detecting early signs of health disorders for preservation labor longevity. Meditsina truda i promyshlennaya ekologiya. 2022; 62(6): 377–87. https://doi.org/10.31089/1026-9428-2022-62-6-377-387 https://elibrary.ru/iatkio (in Russian)
- Dhama K., Latheef S.K., Dadar M., Samad H.A., Munjal A., Khandia R., et al. Biomarkers in stress related diseases/disorders: diagnostic, prognostic, and therapeutic values. Front. Mol. Biosci. 2019; 6: 91. https://doi.org/1010.3389/fmolb.2019.00091
- Guidi J., Lucente M., Sonino N., Fava G.A. Allostatic load and its impact on health: a systematic review. Psychother Psychosom. 2021; 90(1): 11–27. https://doi.org/10.1159/000510696
- Bezrukova G.A., Mikerov A.N. Biomarkers of chronic occupational stress (literature review). Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2022; 101(6): 649–54. https://doi.org/10.47470/0016-9900-2022-101-6-649-654 https://elibrary.ru/iudnzc (in Russian)
- Jonsdottir I.H., Sjörs Dahlman A. Mechanisms in endocrinology: Endocrine and immunological aspects of burnout: a narrative review. Eur. J. Endocrinol. 2019; 180(3): 147–58. https://doi.org/10.1530/EJE-18-0741
- Al-Hadlaq S.M., Balto H.A., Hassan W.M., Marraiki N.A., El-Ansary A.K. Biomarkers of non-communicable chronic disease: an update on contemporary methods. Peer. J. 2022; 10: e12977. https://doi.org/10.7717/peerj.12977
- Gorban A.N., Tyukina T.A., Pokidysheva L.I., Smirnova E.V. Dynamic and thermodynamic models of adaptation. Phys. Life Rev. 2021; 37: 17–64. https://doi.org/10.1016/j.plrev.2021.03.001
- Shpitonkov M.I. Application of correlation adaptometry technique to sports and biomedical research. Komp’yuternye issledovaniya i modelirovanie. 2017; 9(2): 345−54. https://doi.org/10.20537/2076-7633-2017-9-2-345-354 https://elibrary.ru/ymsfcn (in Russian)
- Chikina N.A., Antonova I.V. Mathematical models of adaptation to harmful conditions of labour on basis of correlation adaptometry method. Vestnik Natsional’nogo tekhnicheskogo universiteta KhPI. Seriya: Informatika i modelirovanie. 2008; (49): 184–9. https://elibrary.ru/rtycmf (in Russian)
- Kapustnik V.A., Sukhonos N.K. Comparative analysis of correlations between metabolic indices in patients with vibrational disease in combination with hypertension. Vestnik problem biologii i meditsiny. 2014; (1): 116–22. https://elibrary.ru/tsiown (in Russian)
- Novitzkaya V.P., Bulygin G.V. Evaluation of anthropo-ecologic stress in workers during long-term adaptation to northern and industrial conditions. Meditsina truda i promyshlennaya ekologiya. 2018; 58(1): 33–8. https://elibrary.ru/ytbqhf (in Russian)
- Ibraev S.A., Pankin Yu.N., Koygeldinova Sh.S., Otarov E.Zh., Zharylkasyn Zh.Zh., Izdenov A.K., et al. Longitudinal study of differences between functional state of the body in workers at the chrysotile asbestos plant. Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2016; 95(10): 961–5. https://doi.org/10.1882/0016-9900-2016-10-961-965 https://elibrary.ru/xdmuwj (in Russian)
- Yudina T.V., Saarkoppel L.M., Kryuchkova E.N. The integral approach to evaluation of heath condition of workers of hazard industries. Zdravookhranenie Rossiiskoi Federatsii. 2016; 60(2): 101–4. https://elibrary.ru/vqucsh (in Russian)
- Novikova T.A., Bezrukova G.A., Kochetova N.A., Migacheva A.G., Aleshina Yu.A., Raikova S.V. Occupational risk of developing chronic non-communicable diseases in bearing production workers. Zdravookhranenie Rossiiskoi Federatsii. 2023; 67(6): 562–9. https://doi.org/10.47470/0044-197X-2023-67-6-562-569 https://elibrary.ru/izjwum (in Russian)
- Bezrukova G.A., Novikova T.A., Mikerov A.N. Modern approaches to screening diagnostics of the risk of metabolic syndrome based on integrated clinical and laboratory indicators (review). Sanitarnyi vrach. 2022; (1): 32–44. https://doi.org/10.33920/med-08-2201-04 https://elibrary.ru/tllqnz (in Russian)
- McEwen B.S. Biomarkers for assessing population and individual health and disease related to stress and adaptation. Metabolism. 2015; 64(3): S2–10. https://doi.org/110.1016/j.metabol.2014.10.029.
- Gerding T., Wang J. Stressed at Work: Investigating the relationship between occupational stress and salivary cortisol fluctuations. Int. J. Environ Res. Public. Health. 2022; 19(19): 12311. https://doi.org/10.3390/ijerph191912311
- Kamba A., Daimon M., Murakami H., Otaka H., Matsuki K., Sato E., et al. Association between Higher Serum Cortisol Levels and Decreased Insulin Secretion in a General Population. PLoS One. 2016;11(11): e0166077. https://doi.org/10.1371/journal.pone.0166077
- Ciobanu A.M., Damian A.C., Neagu C. Association between burnout and immunological and endocrine alterations. Rom. J. Morphol. Embryol. 2021; 62(1): 13–8. https://doi.org/10.47162/RJME.62.1.02
- Hinterdobler J., Schunkert H., Kessler T., Sager H.B. Impact of acute and chronic psychosocial stress on vascular inflammation. Antioxid. Redox. Signal. 2021; 35(18): 1531–50. https://doi.org/10.1089/ars.2021.0153
- Ezhov M.V., Kukharchuk V.V., Sergienko I.V., Alieva A.S., Antsiferov M.B., Ansheles A.A., et al. Disorders of lipid metabolism. Clinical guidelines 2023. Rossiiskii kardiologicheskii zhurnal. 2023; 28(5): 5471. https://doi.org/10.15829/1560-4071-2023-5471 https://elibrary.ru/yvzowj (in Russian)
- Magnusson Hanson L.L., Westerlund H., Goldberg M., Zins M., Vahtera J., Hulvej Rod N., et al. Work stress, anthropometry, lung function, blood pressure, and blood-based biomarkers: a cross-sectional study of 43,593 French men and women. Sci. Rep. 2017; 7(1): 9282. https://doi.org/10.1038/s41598-017-07508-x
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