Statistical assessment of the Russian population’s health
The article presents the results of modeling self-assessment of individuals' health depending on a number of economic and social factors. The information base of the research is the data of the Comprehensive Survey of Living Conditions of the Population in the Russian Federation for 2018 by Rosstat. A multinomial regression model was used as a toolkit. It was found that subjective assessment of health is significantly influenced by gender, age, marriage status, employment, work in an area of specialization similar to that obtained, nervous tension, harmful factors, and other inconveniences in the workplace, hazardous nature of work, dissatisfaction with wages and job reliability, inability to live an active life, health problems, smoking and alcohol consumption. The results can be used both to adjust social policies and by individuals themselves to improve their health assessments.
Borim, F.S., Neri, A. L., Francisco, P. M., & Barros, M. B. (2014). Dimensions of self-rated health in older adults. Revista de saude publica, 48(5), 714–722. https://doi.org/10.1590/s0034-8910.2014048005243
Borim, F., Francisco, P., & Neri, A. L. (2017). Sociodemographic and health factors associated with mortality in community-dwelling elderly. Revista de saude publica, 51, 42. https://doi.org/10.1590/S1518-8787.2017051006708
Cheng, Y., Chen, I-S., Chen, C.-J., Burr, H., Hasselhorn, H.M. (2013). The influence of age on the distribution of self-rated health, burnout and their associations with psychosocial work conditions. Journal of Psychosomatic Research, 74(3), 213-220. https://doi.org/10.1016/j.jpsychores.2012.12.017
Fafard, P., & Cassola, A. (2020). Public health and political science: challenges and opportunities for a productive partnership. Public Health, 186, 107-109. https://doi.org/10.1016/j.puhe.2020.07.004
Federal State Statistics Service of the Russian Federation (2019). Comprehensive monitoring of living conditions of the population in 2018. Retrieved from: http://www.gks.ru/free_doc/new_site/KOUZ18/index.html (in Russian).
French, D. J., Sargent-Cox, K., & Luszcz, M. A. (2012). Correlates of subjective health across the aging lifespan: understanding self-rated health in the oldest old. Journal of aging and health, 24(8), 1449–1469. https://doi.org/10.1177/0898264312461151
Heller, D. A., Ahern, F. M., Pringle, K. E., & Brown, T. V. (2009). Among older adults, the responsiveness of self-rated health to changes in Charlson comorbidity was moderated by age and baseline comorbidity. Journal of clinical epidemiology, 62(2), 177–187.
Jhang, F.-H. (2018). Changes in marital status and links to self-rated health: A study of temporal relationships. The Social Science Journal, 55 (2), 87-96. https://doi.org/10.1016/j.soscij.2017.08.001
Nakata, A., Takahashi, M., Swanson, N.G, Ikeda, T., Hojou, M. (2009). Active cigarette smoking, secondhand smoke exposure at work and home, and self-rated health. Public Health, 123(10), 650-656. https://doi.org/10.1016/j.puhe.2009.09.006
Nery Guimarães, J.M., Chor, D., Werneck, G.L. et al (2012). Association between self-rated health and mortality: 10 years follow-up to the Pró-Saúdecohort study. BMC Public Health, 12, 676. https://doi.org/10.1186/1471-2458-12-676
Nie, X., Li, Y., Li, C., Wu, J., & Li, L. (2021). The Association Between Health Literacy and Self-rated Health Among Residents of China Aged 15–69 Years. American Journal of Preventive Medicine, 60 (4), 569-578. https://doi.org/10.1016/j.amepre.2020.05.032
Nusratullin, I., Kuznetsova, S., Gazizyanova, Y., Kutsenko, E., & Berezhnaya, L. (2020). Socio-economic development of Russia in terms of the BRICS countries’ development. Amazonia Investiga, 9(27), 52-61. https://doi.org/10.34069/AI/2020.27.03.6
Perlman, F., & Bobak, M. (2008). Determinants of self rated health and mortality in Russia – are they the same?. International Journal for Equity in Health, 7(19). https://doi.org/10.1186/1475-9276-7-19
Puvil T., Lindenberg J., Gussekloo J., de Craen A.J.M., Slaets J.P.J., Westendorp R.G.J. (2016). Associations of Various Health-Ratings with Geriatric Giants, Mortality and Life Satisfaction in Older People. PLoS ONE, 11(9), article number e0163499. https://doi.org/10.1371/journal.pone.0163499
Rodrigues, D.E., César, C.C., Xavier, C.C., Caiaffa, W.T., & Proietti, F.A. (2021). Exploring neighborhood socioeconomic disparity in self-rated health: a multiple mediation analysis. Preventive Medicine, 145, article number 106443. https://doi.org/10.1016/j.ypmed.2021.106443
Shevchuk, O., Kucheryavenko, M., Davydenko, S., & Babaieva, O. (2020). Implementation of the patient’s right to obtain information in the concept “health and human rights”. Amazonia Investiga, 9(29), 288-296. https://doi.org/10.34069/AI/2020.29.05.33
Tebar, W.R., Werneck, A.O., Silva, D.R.P., de Souza, J.M., Stubbs, B., da Silva, C.C.M., Ritti-Dias, R.M., Christofaro, D.G.D. (2021). Poor self-rated health is associated with sedentary behavior regardless of physical activity in adolescents - PeNSE study. Mental Health and Physical Activity, 20, article number 100384, https://doi.org/10.1016/j.mhpa.2021.100384
Verropoulou, G. (2012). Determinants of change in self-rated health among older adults in Europe: a longitudinal perspective based on SHARE data. European journal of ageing, 9(4), 305–318. https://doi.org/10.1007/s10433-012-0238-4
Wang, D. (2021). Effect of family-related adverse childhood experiences on self-rated health in childhood and adulthood——childhood friendships as moderator. SSM - Population Health, 14, article number 100762. https://doi.org/10.1016/j.ssmph.2021.100762
Wu, W., Chen, Y., Stephens, M., Liu, Y. (2019). Long working hours and self-rated health: Evidence from Beijing. China. Cities, 95, article number 102401. https://doi.org/10.1016/j.cities.2019.102401