Psychosocial risks of the work environment and metabolic syndrome (literature review)
https://doi.org/10.47470/0016-9900-2024-103-1-51-57
EDN: jqbajb
Abstract
Introduction. Along with physical, chemical, ergonomic, and biological factors, working psychosocial stress is one of the main risks for the development of metabolic syndrome (MS), system effects of which can cause severe lesions of cardiovascular, endocrine, and hepatobiliary systems.
The purpose of the work was to summarize and analyze modern domestic and foreign experience of studying the relationship between categories and factors of psychosocial risks of the working environment and MS and its components in different occupational cohorts.
The publications were searched through the RSCI, CyberLeninka, eLibrary, and PubMed databases containing Russian and foreign sources of scientific information for 2006–2023.
The article briefly highlights the taxonomy of categories and factors of psychosocial hazards and risks in the workplace, as well as the most popular questionnaires for quantitative assessment of psychosocial stress, based on the requirement/control model (JDC) assessing workload in gradations of high, active, passive, low, and effort-reward imbalance (ERI) model. The close association of JDC and ERI with metabolic syndrome, obesity, blood lipid profile atherogenicity, and hyperglycemia in men and women of different occupational cohorts with high and low socioeconomic status was examined.
Conclusion. The analysis of scientific publications has convincingly shown working psychosocial stress to have a causal relationship with MS that regardless of intervening factors (age, gender, socio-economic status, lifestyle, bad habits). At the same time, the statistical significance of stress-realizing effects in relation to MS components is determined by the used model for assessing psychosocial risks and is complementary to the cognitive assessment of perceived stress, which must be taken into account when planning and conducting research.
Contribution of the authors:
Bezrukova G.A. — research concept, collection and processing of material, writing the text, compilation of the list of literature, editing;
Novikova T.A. — collection and processing of material, writing the text, compilation of the list of literature;
Mikerov A.N. — text 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: December 1, 2023 / Accepted: December 28, 2023 / Published: January 31, 2024
Keywords
About the Authors
Galina A. BezrukovaRussian Federation
MD, PhD, DSci., chief researcher of the Department of occupational medicine, Doctor of Medicine, Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Saratov, 410022, Russian Federation
e-mail: bezrukovagala@yandex.ru
Tamara A. Novikova
Russian Federation
MD, PhD, head of the Laboratory of occupational health, associate professor, Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Saratov, 410022, Russian Federation
e-mail: novikovata-saratov@yandex.ru
Anatoly N. Mikerov
Russian Federation
MD, PhD, DSci., head of the Saratov Hygiene Medical Research Center of the Federal Scientific Center for Medical and Preventive Health Risk Management Technologies, Saratov, 410022, Russian Federation
e-mail: a_mikerov@mail.ru
References
1. Lemieux I., Després J.P. Metabolic syndrome: past, present and future. Nutrients. 2020; 12(11): 3501. https://doi.org/10.3390/nu12113501
2. Alberti K.G., Eckel R.H., Grundy S.M., Zimmet P.Z., Cleeman J.I., Donato K.A., et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009; 120(16): 1640–5. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
3. Guembe M.J., Fernandez-Lazaro C.I., Sayon-Orea C., Toledo E., Moreno-Iribas C. Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort. Cardiovasc. Diabetol. 2020; 19(1): 195. https://doi.org/10.1186/s12933-020-01166-6
4. Deusdará R., de Moura Souza A., Szklo M. Association between obesity, overweight, elevated waist circumference, and insulin resistance markers among Brazilian adolescent students. Nutrients. 2022; 14(17): 3487. https://doi.org/10.3390/nu14173487
5. Fahed G., Aoun L., Bou Zerdan M., Allam S., Bouferraa Y., Assi H.I. Metabolic syndrome: updates on pathophysiology and management in 2021. Int. J. Mol. Sci. 2022; 23(2): 786. https://doi.org/10.3390/ijms23020786
6. Kaur J. A comprehensive review on metabolic syndrome. Cardiol. Res. Pract. 2014; 2014: 943162. https://doi.org/10.1155/2014/943162
7. Calzadilla Bertot L., Adams L.A. The natural course of non-alcoholic fatty liver disease. Int. J. Mol. Sci. 2016; 17(5): 774. https://doi.org/10.3390/ijms17050774
8. Ding H., Zhang J., Zhang F., Zhang S., Chen X., Liang W., et al. Resistance to the insulin and elevated level of androgen: a major cause of polycystic ovary syndrome. Front. Endocrinol. (Lausanne). 2021; 20: 741764. https://doi.org/10.3389/fendo.2021.741764
9. Xu Z., Tao L., Su H. The complement system in metabolic-associated kidney diseases. Front. Immunol. 2022; 13: 902063. https://doi.org/10.3389/fimmu.2022.902063
10. Mili N., Paschou S.A., Goulis D.G., Dimopoulos M.A., Lambrinoudaki I., Psaltopoulou T. Obesity, metabolic syndrome, and cancer: Pathophysiological and therapeutic associations. Endocrine. 2021; 74(3): 478–97. https://doi.org/10.1007/s12020-021-02884-x
11. Zhong L., Liu J., Liu S., Tan G. Correlation between pancreatic cancer and metabolic syndrome: A systematic review and meta-analysis. Front. Endocrinol. (Lausanne). 2023; 14: 1116582. https://doi.org/10.3389/fendo.2023.1116582
12. Ali A.H.K. Prevalence and predictors of metabolic syndrome among patients with bronchial asthma: a cross sectional study. Open Respir. Med. J. 2021; 15: 14–8. https://doi.org/10.2174/1874306402115010014
13. Bogdanova O.G., Myl’nikova I.V. Metabolic syndrome: situation in the world, clinical-diagnostic criteria and risk factors (review of literature). Gigiena i Sanitaria (Hygiene and Sanitation, Russian journal). 2020; 99(10): 1165–9. https://doi.org/10.47470/0016-9900-2020-99-10-1165-1169 https://elibrary.ru/ojeagh (in Russian)
14. Gao P., Snyder M. Exposome-wide association study for metabolic syndrome. Front. Genet. 2021; 12: 783930. https://doi.org/10.3389/fgene.2021.783930
15. Musani S.K., Martin L.J., Woo J.G., Olivier M., Gurka M.J., DeBoer M.D. Heritability of the severity of the metabolic syndrome in whites and blacks in 3 large cohorts. Circ. Cardiovasc. Genet. 2017; 10(2): e001621. https://doi.org/10.1161/CIRCGENETICS.116.001621
16. Schwartz M.W., Seeley R.J., Zeltser L.M., Drewnowski A., Ravussin E., Redman L.M., et al. Obesity pathogenesis: an endocrine society scientific statement. Endocr. Rev. 2017; 38(4): 267–96. https://doi.org/10.1210/er.2017-00111
17. Mohajer N., Du C.Y., Checkcinco C., Blumberg B. Obesogens: how they are identified and molecular mechanisms underlying their action. Front. Endocrinol. (Lausanne). 2021; 12: 780888. https://doi.org/10.3389/fendo.2021.780888
18. Papalou O., Kandaraki E.A., Papadakis G., Diamanti-Kandarakis E. Endocrine disrupting chemicals: an occult mediator of metabolic disease. Front. Endocrinol. (Lausanne). 2019; 10: 112. https://doi.org/10.3389/fendo.2019.00112
19. Kuo W.C., Bratzke L.C., Oakley L.D., Kuo F., Wang H., Brown R.L. The association between psychological stress and metabolic syndrome: A systematic review and meta-analysis. Obes. Rev. 2019; 20(11): 1651–64. https://doi.org/10.1111/obr.12915
20. Kabanova T.N., Shport S.V, Makurina A.P. Current international research on risk factors of psychological stress and psychosocial atmosphere in the workplace. Sotsial’naya i klinicheskaya psikhiatriya. 2019; 29(2): 93–8. https://elibrary.ru/hweeru (in Russian)
21. WHO. Leka S.A. Health impact of psychosocial hazards at work: an overview; 2010. Available at: https://apps.who.int/iris/bitstream/handle/10665/44428/9789241500272_eng.pdf
22. De Sio S., Cedrone F., Trovato Battagliola E., Buomprisco G., Perri R., Greco E. The perception of psychosocial risks and work-related stress in relation to job insecurity and gender differences: a cross-sectional study. Biomed. Res. Int. 2018; 2018: 7649085. https://doi.org/10.1155/2018/7649085
23. Schulte P.A., Streit J.M.K., Sheriff F., Delclos G., Felknor S.A., Tamers S.L., et al. Potential scenarios and hazards in the work of the future: a systematic review of the peer-reviewed and gray literatures. Ann. Work Expo. Health. 2020; 64(8): 786–816. https://doi.org/10.1093/annweh/wxaa051
24. Irastorza X., Cavet M., Cockburn W. Third European Survey of Enterprises on New and Emerging Risks (ESENER 3); 2019. Available at: https://search.gesis.org/research_data/ZA7735
25. Bangasser D.A., Wicks B. Sex-specific mechanisms for responding to stress. J. Neurosci. Res. 2017; 95(1–2): 75–82. https://doi.org/10.1002/jnr.23812
26. Bello Z. Tanko G.I. Review of work-life balance theories. GATR Global J. Bus. Soc. Sci. Review. 2020; 8(4): 217–27. https://doi.org/10.35609/gjbssr.2020.8.4(3)
27. Helman T.J., Headrick J.P., Stapelberg N.J.C., Braidy N. The sex-dependent response to psychosocial stress and ischaemic heart disease. Front. Cardiovasc. Med. 2023; 10: 1072042. https://doi.org/10.3389/fcvm.2023.1072042
28. Cho D.Y., Koo J.W. Differences in metabolic syndrome prevalence by employment type and sex. Int. J. Environ. Res. Public. Health. 2018; 15(9): 1798. https://doi.org/10.3390/ijerph15091798
29. 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
30. Chandola T., Brunner E., Marmot M. Chronic stress at work and the metabolic syndrome: prospective study. BMJ. 2006; 332(7540): 521–5. https://doi.org/10.1136/bmj.38693.435301.80
31. Edwards E.M., Stuver S.O., Heeren T.C., Fredman L. Job strain and incident metabolic syndrome over 5 years of follow-up: the coronary artery risk development in young adults study. J. Occup. Environ. Med. 2012; 54(12): 1447–52. https://doi.org/10.1097/JOM.0b013e3182783f27
32. Yamaguchi M., Eguchi M., Akter S., Kochi T., Hu H., Kashino I., et al. The association of work-related stressors and their changes over time with the development of metabolic syndrome: The Furukawa Nutrition and Health Study. J. Occup. Health. 2018; 60(6): 485–93. https://doi.org/10.1539/joh.2017-0298-OA
33. Inoue A., Kawakami N., Tsutsumi A., Shimazu A., Miyaki K., Takahashi M., et al. Association of job demands with work engagement of Japanese employees: comparison of challenges with hindrances (J-HOPE). PLoS One. 2014; 9(3): e91583. https://doi.org/10.1371/journal.pone.0091583
34. Eriksson H., Torén K., Rosengren A., Andersson E., Söderberg M. Psychosocial job exposure and risk of coronary artery calcification. PLoS One. 2021; 16(5): e0252192. https://doi.org/10.1371/journal.pone.0252192
35. Söderberg M., Eriksson H., Torén K., Bergström G., Andersson E., Rosengren A. Psychosocial job conditions and biomarkers of cardiovascular disease: A cross-sectional study in the Swedish CArdioPulmonary bioImage Study (SCAPIS). Scand. J. Public Health. 2022; 51(6): 843–52. https://doi.org/10.1177/14034948211064097
36. Eftekhari S., Alipour F., Aminian O., Saraei M. The association between job stress and metabolic syndrome among medical university staff. J. Diabetes Metab. Disord. 2021; 20(1): 321–7. https://doi.org/10.1007/s40200-021-00748-9
37. Nyberg S.T., Fransson E.I., Heikkilä K., Alfredsson L., Casini A., Clays E., et al. Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS One. 2013; 8(6): e67323. https://doi.org/10.1371/journal.pone.0067323
38. Choi B. Developing a job exposure matrix of work organization hazards in the United States: a review on methodological issues and research protocol. Saf. Health Work. 2020; 11(4): 397–404. https://doi.org/10.1016/j.shaw.2020.05.007
39. Tanimoto A.S., Richter A., Lindfors P. How do effort, reward, and their combined effects predict burnout, self-rated health, and work-family conflict among permanent and fixed-term faculty? Ann. Work Expo. Health. 2023; 67(4): 462–72. https://doi.org/10.1093/annweh/wxac094
40. Burr H., Formazin M., Pohrt A. Methodological and conceptual issues regarding occupational psychosocial coronary heart disease epidemiology. Scand. J. Work Environ. Health. 2016; 42(3): 251–5. https://doi.org/10.5271/sjweh.3557
41. Söderberg M., Rosengren A., Hillström J., Lissner L., Torén K. A cross-sectional study of the relationship between job demand-control, effort-reward imbalance and cardiovascular heart disease risk factors. BMC Public Health. 2012; 12: 1102. https://doi.org/10.1186/1471-2458-12-1102
42. Trudel X., Brisson C., Milot A., Masse B., Vézina M. Psychosocial work environment and ambulatory blood pressure: independent and combined effect of demand–control and effort–reward imbalance models. Occup. Environ. Med. 2013; 70(11): 815–22. https://doi.org/10.1136/oemed-2013-101416
43. Gilbert-Ouimet M., Brisson C., Milot A., Vézina M. Double exposure to adverse psychosocial work factors and high family responsibilities as related to ambulatory blood pressure at work: a 5-year prospective study in women with white-collar jobs. Psychosom. Med. 2017; 79(5): 593–602. https://doi.org/10.1097/PSY.0000000000000450
44. Gilbert-Ouimet M., Trudel X., Brisson C., Milot A., Vézina M. Adverse effects of psychosocial work factors on blood pressure: systematic review of studies on demand-control-support and effort-reward imbalance models. Scand. J. Work Environ. Health. 2014; 40(2): 109–32. https://doi.org/10.1136/10.5271/sjweh.3390
45. 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
46. Almadi T., Cathers I., Chow C.M. Associations among work-related stress, cortisol, inflammation, and metabolic syndrome. Psychophysiology. 2013; 50(9): 821–30. https://doi.org/10.1111/psyp.12069
47. Magnavita N., Fileni A. Work stress and metabolic syndrome in radiologists: first evidence. Radiol. Med. 2014; 119(2): 142–8. https://doi.org/10.1007/s11547-013-0329-0
48. Garbarino S., Magnavita N. Work stress and metabolic syndrome in police officers. A prospective study. PLoS One. 2015; 10(12): e0144318. https://doi.org/10.1371/journal.pone.0144318
49. Schmidt B., Bosch J.A., Jarczok M.N., Herr R.M., Loerbroks A., van Vianen A.E., et al. Effort-reward imbalance is associated with the metabolic syndrome – findings from the Mannheim Industrial Cohort Study (MICS). Int. J. Cardiol. 2015; 178: 24–8. https://doi.org/10.1016/j.ijcard.2014.10.115
Review
For citations:
Bezrukova G.A., Novikova T.A., Mikerov A.N. Psychosocial risks of the work environment and metabolic syndrome (literature review). Hygiene and Sanitation. 2024;103(1):51-57. (In Russ.) https://doi.org/10.47470/0016-9900-2024-103-1-51-57. EDN: jqbajb