Modern profile of research in the field of studying the health status of people engaged in shift work

Complex mechanisms of the impact of environmental conditions on the human body require research, whose profi le is subject to constant changes under the influence of various factors.

Aim. To build a network structure and conduct a mathematical analysis of modern domestic research in the field of studying the health of people engaged in shift work.

Materials and methods. The object of the study is original domestic studies published over the past five years and posted in the eLibrary database. At the first stage, a search and formal-logical assessment of the studies were carried out. At the second stage, network analysis based on graph theory was used for visualization and mathematical analysis. The elements were laid out according to the selected algorithm with an original shiftscheme for better optimization of the distance between the outer and central nodes. After iterations using the “directed forces” method, a graph in the minimum energy state was obtained.

Results. The profile of the economic sectors, the health of whose employees was analyzed in the studies, reflects the structure of economic activity in the territories where the shift work method is actively used. The constructed network of 53 nodes and 166 edges can be characterized as unoriented, homogeneous, without spatial reference. The average degree of the constructed graph is 3.132, the global clustering coefficient is 0.631, and the average shortest distance is 3.074. In the presence of several sufficiently remote connected nodes, the average shortest distance in the graph was 3.074, and the total path length was 466.369.

Conclusion. The construction of an undirected homogeneous non-dense graph made it possible to identify four key areas of modern domestic research: the functioning of the cardiovascular system, adaptation mechanisms, nutritional features, and the organization of medical care in the context of the spread of the new coronavirus infection COVID-19. These areas, with sufficient isolation of scientific research, have a number of patterns-bridges: gender aspects, blood homocysteine levels, nutritional status, and shiftduration.

1. Korneeva Ya.A., Simonova N.N., Korneeva A.V., Dobrynina M.A. Functional states in shift personnel at an oil exploration enterprise in the southeast of the Russian Federation. Hygiene and Sanitation. 2024; 103(1): 44–50 (In Russian). https://doi.org/10.47470/0016-9900-2024-103-1-44-50. EDN: OTHLYS

2. Losik T.K., Shuporin E.S. Problems of preserving the health of workers of the oil and gas complex in the North with the shift form of labor organization. Russian Journal of Occupational Health and Industrial Ecology. 2023; 63(10): 664–672 (In Russian). https://doi.org/10.31089/1026-9428-2023-63-10-664-672. EDN: YEZLCU

3. Ivanova Yu.A., Aliverdieva M.A. Modern global problems of the environment and nature management. Bulletin of Economic Security. 2023; 5: 65–68 (In Russian). https://doi.org/10.24412/2414-3995-2023-5-65-68. EDN: MKXDFS

4. Novikova I.I., Romanenko S.P., Semenikhina M.V., et al. Assessment of the inclusion of vitamin and mineral complex in the organizational nutrition of workers in the Arctic zone. Russian Arctic. 2023; 5(3): 40–47 (In Russian). https://doi.org/10.24412/2658-4255-2023-3-40-47. EDN: OITXNE

5. Bayanova A.E., Zhdanova E.V., Lukyanova E.G. Criteria of the strain on the adaptive mechanisms in healthy male rotational workers in the Far North. Journal of Medical and Biological Research. 2023; 11(4): 462–470 (In Russian). https://doi.org/10.37482/2687-1491-Z167. EDN: AAKGPA

6. Akimov A.M. Some factors of chronic social stress in male expeditionary-workers in the arctic territories of the Tyumen region (pilot study). Siberian Scientific Medical Journal. 2023; 43(3): 104–112 (In Russian). https://doi.org/10.18699/SSMJ20230313. EDN: CPSNUR

7. Vetoshkin A.S., Shurkevich N.P., Simonyan A.A., et al. Dysfunctional types of eating behavior: gender differences, relationship with metabolic risk factors in individuals working in the arctic on a rotating basis. Cardiovascular Therapy and Prevention. 2023; 22(6): 14–24 (In Russian). https://doi.org/10.15829/1728-8800-2023-3561

8. Atkov O.Yu., Gorokhova S.G. Determination of allostatic load dynamics in the assessment of adaptation in temporary workers in the Arctic. Russian Journal of Occupational Health and Industrial Ecology. 2019; 59(9): 547–548 (In Russian). https://doi.org/10.31089/1026-9428-2019-59-9-547-548. EDN: ERLBHI

9. Kurmangulov A.A., Bachurina M.Yu., Gadzhiev N.A. Dynamics of cerebrovascular diseases statistical indicators in association with the coronavirus pandemic. Surgut State University Journal. Medicine. 2023; 16(2): 52–58 (In Russian). https://doi.org/10.35266/2304-9448-2023-2-52-58. EDN: CRRKCY.

10. Isakova D.N., Dorodneva E.F., Belokrylova L.V., et al. The role of nutritional factors in the formation of cardiovascular risk in patients with type 2 diabetes mellitus. Problems of Nutrition. 2021; 90(5(537): 104–114 (In Russian). https://doi.org/10.33029/0042-8833-2021-90-5-104-114. EDN: FSTOEH

11. Podzolkov P.N., Zakharova I.G. Modeling the spread of an infectious disease with fly-in-fly-out work method. Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy. 2023; 9(2(34)): 108–127 (In Russian). https://doi.org/10.21684/2411-7978-2023-9-2-108-127. EDN: FPWWHT

12. Tutelyan V.A., Nikityuk D.B. The global challenge of the XXI century – COVID-19: the answer of dietetics. Problems of Nutrition. 2021; 90(5(537)): 6–14 (In Russian). https://doi.org/10.33029/0042-8833-2021-90-5-6-14. EDN: ZDZJPA

13. Gromova O.A., Torshin I.Yu., Lila A.M., et al. Prospects for the use of micronutrients in the treatment of coronavirus infection in patients with comorbid pathology. Russian Medical Inquiry. 2020; 4(8): 504–510 (In Russian). https://doi.org/10.32364/2587-6821-2020-4-8-504-510. EDN: FWNIAG

14. Gutierrez J.M., Jensen M., Riaz T. Applied graph theory to real smart city logistic problems. Procedia Computer Science. 2016; 95: 40–47. https://doi.org/10.1016/j.procs.2016.09.291

15. Lazzarini S.G., Chaddad F.R., Cook M. Integrating supply chain and network analyses: The study of netchains. Journal on Chain and Network Science. 2001; 1 (1): 7–22. https://doi.org/10.3920/JCNS2001.x002

16. Borgatti S.P., Li X. On social network analysis in a supply chain context. Supply Chain Management. 2009; 45 (2): 5–22. https://doi.org/10.1111/j.1745-493X.2009.03166.x

17. Gupta A., Singh R.K. Developing a framework for evaluating sustainability index for logistics service providers: graph theory matrix approach. International Journal of Productivity and Performance Management 2020; 69.8: 1627–1646. https://doi.org/10.1108/IJPPM-12-2019-0593

18. Zhylkybekova A., Koshmaganbetova G.K., Zare A., et al. Global research on care-related burden and quality of life of informal caregivers for older adults: a bibliometric analysis. Sustainability. 2024; 16(3): 1020. https://doi.org/10.3390/su16031020

19. Chen X., Xie H., Wang F.L., et al. A bibliometric analysis of natural language processing in medical research. BMC medical informatics and decision making. 2018; 18(1): 1–14. https://doi.org/10.1186/s12911-018-0594-x. PMID: 29589569

20. Manoj Kumar M., George R.J., Anisha P.S. Bibliometric analysis for medical research. Indian Journal of Psychological Medicine. 2023; 45(3): 277–282. https://doi.org/10.1177/02537176221103617. PMID: 37152388