You are using an outdated browser. For a faster, safer browsing experience, upgrade for free today.

Biological age as a criteria for assessment of the risk of mortality and morbidity

Biological age as a criteria for assessment of the risk of mortality and morbidity

ISSN 2223-6775 Ukrainian journal of occupational health Vol.18, No 3, 2022


https://doi.org/10.33573/ujoh2022.03.189

Biological age as a criteria for assessment of the risk of mortality and morbidity

Kashuba N.A., Melnyk N.A., Sopel O.M.
I. Horbachevsky Ternopil National Medical University


 Full article (PDF): ENG / UKR

Introduction. To date, most existing approaches to assess the risk of death or occupational disease from chronic exposure have a number of common shortcomings. Therefore, establishing the method of using biological age indices to assess the risk of occupational disease is relevant.

Research purpose is to substantiate the possibility of using data on biological age to assess the risk of developing disease or death.

Research materials and methods. Studies of the dependence between the dose of the harmful factor, biological age and the exposure effect were conducted on 97 men who worked at municipal utilities and 112 men aged from 21 to 57 years old who worked as electric welders in the Ternopil region. Biological age was estimated using a program created by us.

Results. The article highlights the use of indicators of biological age to assess the risk of occupational morbidity. We have proposed a number of mathematical formulas that allow predicting the expected length of future life based on data on the biological age of workers of different age groups. We also built a mathematical model of multiple regression, which allows us to estimate the partial biological age of workers.

Conclusions. Determination of biological age and its use as an intermediate link of dose-effect dependence allows standardizing the studied group, to exclude the distorting effect of unaccounted for or unknown factors on the dose-effect dependence, to judge the predominant directionality of the exposure to the studied factor in dynamics.

Keywords: biological age, disease, death rate, doze, effect.

References

  1. Chernyuk, V.I., Vitte, P.M. (2005). "Evaluation of health risks and their management as an occupational health problem", Ukrainian journal of occupational health, No 1, pp. 47-53. https://doi.org/10.33573/ujoh2005.01.047
  2. Suárez Sánchez, F.A., Carvajal Peláez, G.I., Catalá Alís, J. (2017). "Occupational safety and health in construction: a review of applications and trends", Ind Health., Vol. 55, No. 3, pp. 210-218 https://doi.org/10.2486/indhealth.2016-0108
  3. Office of the Ministry of Health of Ukraine (2002). Sanitary and hygienic characteristics of working conditions, Kyiv,17 p.
  4. Håkansson, C.and Lexén, A. (2021). "The combination of psychosocial working conditions, occupational balance and sociodemographic characteristics and their associations with no or negligible stress symptoms among Swedish occupational therapists - a cross-sectional study", BMC Health Serv Res., Vol. 21, No 1, p. 471. https://doi.org/10.1186/s12913-021-06465-6
  5. Izmerov, N.F., Kaptsov, V.A., Denisov, E.I. and Ovakimov V.G. (1993). "Problems of occupational risk assessment in occupational medicine", Occupational medicine and industry. ecol., No. 3-4, pp. 1-5.
  6. Schulte, P.A., Kuempel, E.D. and Drew, N.M. (2018). "Characterizing risk assessments for the development of occupational exposure limits for engineered nanomaterials", Regul Toxicol Pharmacol., No. 95, pp. 207-219. https://doi.org/10.1016/j.yrtph.2018.03.018
  7. Vitte, P., Kundiev, Yu., Shor, R. et al. (2003). "Influence of non-radiation factors on the development of radiation cataract in liquidators of the consequences of the Chernobyl accident" ["Vliyaniye neradiatsionnykh faktorov na razvitiye radiatsionnoy katarakty u likvidatorov posledstviy avarii na ChAES"], Gigiena truda, No. 34, pp. 634-648.
  8. Gudzenko N, Hatch M, Bazyka D, et al. (2015). "Non-radiation risk factors for leukemia: A case-control study among chornobyl cleanup workers in Ukraine", Environ Res., No. 142, pp. 72-6. https://doi.org/10.1016/j.envres.2015.06.019
  9. Izmerov, N.F., Kaptsov, V.A., Denisov, E.I. and Ovakimov, V.G. (1994). "Socio-hygienic aspects of occupational risk for health and time reserves", Occupational medicine and industry. ecol., No. 2, pp. 1-4.
  10. Ballester Arias, A.R., García, A.M. (2017). "Occupational Exposure to Psychosocial Factors and Presence of Musculoskeletal disorders in Nursing Staff: A review of Studies and Meta-Analysis", Rev Esp Salud Publica. No. 91, e201704028.
  11. Berger, F., Bernatíková, Š., Kocůrková, L., Přichystalová, R. and Schreiberová, L. (2021). "Occupational exposure to nanoparticles originating from welding - case studies from the Czech Republic", Med Pr., Vol. 72, No. 3, pp. 219-230. https://doi.org/10.13075/mp.5893.01058
  12. Suvorov, G.Kh., Kravchenko, O.K., Tarasova, L.A. and Kopeleva, L.M. (1993). "Comparative evaluation of models of development of vibration disturbances under the influence of local vibration", Occupational medicine and industry. ecol., No. 3-4, pp. 5-9.
  13. Wei N, Yan R, Lang L, et al. (2021). "Local vibration induced vascular pathological structural changes and abnormal levels of vascular damage indicators", Microvasc Res., No. 136, 104163. https://doi.org/10.1016/j.mvr.2021.104163
  14. Rabenda, A. (2000). "Evaluation of the gross and absolute health risk in the working areas of electric welders" ["Otsinka vidnosnogo ta absolyutnogo riziku zdorov'yu na robochikh mistsyakh elektrozvaryuvalnikiv"], Gigiena truda, Vol. 31, pp. 83-89.
  15. Hague, C., Orford, R., Gaulton, T., et al. (2021). "Development of a mechanism for the rapid risk assessment of cross-border chemical health threats', J Expo Sci Environ Epidemiol., Vol. 31, No. 5, pp. 876-886. https://doi.org/10.1038/s41370-021-00344-2
  16. Kashuba, N.A. (2004). "Construction and evaluation of models describing the change in mortality with age" ["Postroyeniye i otsenka modeley. opisyvayushchikh izmeneniye smertnosti s vozrastom"] Gigiena truda. Vol. 35, pp. 534-545. https://doi.org/10.1111/j.1468-2257.2004.00261.x
  17. Holt-Lunstad, J., Smith, T.B. and Layton, J.B. (2010). "Social relationships and mortality risk: a meta-analytic review", PLoS Med., Vol. 27, No. 7, e1000316. https://doi.org/10.1371/journal.pmed.1000316
  18. Kashuba, N.A. (2003). "On methodological approaches to the assessment of public and individual health", Environment and health, Vol. 27, No. 4, pp. 69-72.
  19. Sadare, O., Williams, M. and Simon, L. (2020). Implementation of the Health Equity Impact Assessment (HEIA) tool in a local public health setting: challenges, facilitators, and impacts. Can J Public Health. Vol. 111, No. 2, pp. 212-219. https://doi.org/10.17269/s41997-019-00269-2
  20. Kashuba, N.A. (2004). "Appointment of the biological age in robotics in saw-to-peer professions" Bulletin of Scientific Research, No. 3, pp. 82-88.
  21. Kwon, D. and Belsky, D.W. (2021). "A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge", Geroscience, Vol. 43, No. 6, pp. 2795-2808. https://doi.org/10.1007/s11357-021-00480-5