Abstract
Objectives
To explore the prevalence of obesity and underweight in a large region of Russia.
Methods
Three population-based studies (Ural Eye and Medical Study (UEMS; n = 5899 participants), Ural Very Old Study (UVOS; n = 1526), Ural Children Eye Study (UCES; n = 4933)) were performed in urban and rural areas in Bashkortostan/Russia.
Results
In the UEMS (n = 5899 individuals; age: 59.5 ± 10.7 years), mean BMI was 27.9 ± 5.0 kg/m2, with prevalences of overweight, obesity and underweight of 2317/5899 (39.3%; 95% CI: 38.0, 40.5), 1787/5899 (30.3%; 95% CI: 29.1, 31.5), and 50/5899 (0.8%; 95% CI: 0.6, 1.1), respectively. Higher obesity prevalence was associated with younger age, female sex, Russian ethnicity, lower educational level, shorter body height, lower prevalence of current smoking and alcohol consumption, lower serum concentration of bilirubin and high-density lipoproteins, higher blood leukocyte count, higher prevalences of diabetes mellitus and metabolic syndrome, higher stage of arterial hypertension, higher prevalence of a positive history of thoracic spine pain and cardiovascular disease including stroke, and higher intraocular pressure. In the UVOS (n = 1002; age: 88.5 ± 2.7 years; range: 85.0–100.6 years), mean BMI was 26.6 ± 4.5 kg/m2 with prevalences of overweight, obesity and underweight of 416/1002 (41.5%; 95% CI: 38.5, 44.6), 187/1002 (18.7%; 95% CI: 16.3, 21.1), and 16/1002 (1.6%; 95% CI: 0.8, 2.4), respectively. Higher prevalence of obesity was correlated with younger age, female sex, urban region of habitation, shorter body height, lower prevalence of any alcohol consumption, and higher prevalence of metabolic syndrome. In the UCES (4906 children; age: 11.8 ± 3.1 years; range: 6–18 years), mean BMI was 18.6 ± 3.8 kg/m2 with prevalences of overweight, obesity and underweight of 722/4906 (14.7%; 95% CI: 13.7, 15.7), 374/4906 (7.6%; 95% CI: 6.9, 8.4), and 153/4906 (3.1%; 95% CI: 2.6, 3.6), respectively.
Conclusions
Overweight/obesity prevalences among schoolchildren/adolescents were similar to mean global figures and higher than 15 years ago. Overweight/obesity prevalences in medium-aged adults (39.3% and 30.3%, respectively) and in old adults (41.5% and 18.7%, respectively) were higher than mean global figures. Associations of BMI-related parameters with other variables differed between the three generations. In old adults, higher BMI was related to metabolic syndrome but not with diabetes mellitus and hypertension.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout






Similar content being viewed by others
Data availability
The data are available upon reasonable request from the corresponding author.
References
GBD 2021 Adult BMI Collaborators. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet. 2025;405:813–38.
GBD 2021 Adolescent BMI Collaborators. Global, regional, and national prevalence of child and adolescent overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet. 2025:405:785–812.
Wang Y, Monteiro C, Popkin BM. Trends of obesity and underweight in older children and adolescents in the United States, Brazil, China, and Russia. Am J Clin Nutr. 2002;75:971–7.
Huffman SK, Rizov M. The rise of obesity in transition: theory and empirical evidence from Russia. J Dev Stud. 2010;46:574–94.
Khasnutdinova SL, Grjibovski AM. Prevalence of stunting, underweight, overweight and obesity in adolescents in Velsk district, north-west Russia: a cross-sectional study using both international and Russian growth references. Public Health. 2010;124:392–7.
Martinchik AN, Baturin AK, Keshabyants EE, Peskova EV. [Gender and age characteristics and the trends in prevalence of obesity in the adult population in Russia during the 1994-2012 period] [article in Russian]. Vopr Pitan. 2015;84:50–7.
Koyanagi A, Moneta MV, Garin N, Olaya B, Ayuso-Mateos JL, Chatterji S, et al. The association between obesity and severe disability among adults aged 50 or over in nine high-income, middle-income and low-income countries: a cross-sectional study. BMJ Open. 2015;5:e007313.
Kontsevaya A, Shalnova S, Deev A, Breda J, Jewell J, Rakovac I, et al. Overweight and obesity in the Russian population: prevalence in adults and association with socioeconomic parameters and cardiovascular risk factors. Obes Facts. 2019;12:103–14.
Karamnova NS, Shalnova SA, Rytova AI, Shvabskaya OB, Makarova YK, Balanova YA, et al. Associations of dietary patterns and abdominal obesity in the adult population. Results of the Russian epidemiological ESSE-RF study. Russ J Cardiol. 2021;26:4363.
Kholmatova K, Krettek A, Leon DA, Malyutina S, Cook S, Hopstock LA, et al. Obesity prevalence and associated socio-demographic characteristics and health behaviors in Russia and Norway. Int J Environ Res Public Health. 2022;19:9428.
Balanova YA, Drapkina OM, Kutsenko VA, Imaeva AE, Kontsevaya AV, Maksimov SA, et al. Obesity in the Russian population during the COVID-19 pandemic and associated factors. Data from the ESSE-RF3 study. Cardiovasc Ther Prev. 2023;22:3793.
Bikbov MM, Gilmanshin TR, Kazakbaeva GM, Zainullin RM, Rakhimova EM, Rusakova IA, et al. Prevalence of myopic maculopathy among adults in a Russian population. JAMA Netw Open. 2020;3:e200567.
Bikbov MM, Fayzrakhmanov RR, Kazakbaeva GM, Zainullin RM, Salavatova VF, Gilmanshin TR, et al. Frequency and associated factors of bone fractures in Russians: The Ural Eye and Medical Study. Sci Rep. 2018;8:7483.
Bikbov MM, Kazakbaeva GM, Rakhimova EM, Rusakova IA, Fakhretdinova AA, Tuliakova AM, et al. Prevalence factors associated with vision impairment and blindness among individuals 85 years and older in Russia. JAMA Netw Open. 2021;4:e2121138.
Bikbov MM, Kazakbaeva GM, Rakhimova EM, Rusakova IA, Fakhretdinova AA, Tuliakova AM, et al. Axial length and its associations in the Ural Very Old Study. Sci Rep. 2021;11:18459.
Bikbov MM, Kazakbaeva GM, Fakhretdinova AA, Tuliakova AM, Rakhimova EM, Panda-Jonas S, et al. Myopic axial elongation in school children and the COVID-19 lockdown in Russia: the Ural Children Myopia Study. PLoS ONE. 2023;18:e0279020.
Demographics of Russia. Wikipedia. 2021. https://en.wikipedia.org/wiki/Demographics_of_Russia.
Stevens GA, Alkema L, Black RE, Boerma JT, Collins GS, Ezzati M, et al. Guidelines for accurate and transparent health estimates reporting: the GATHER statement. Lancet. 2016;388:e19–23.
Jonas JB, Wang N, Yang D, Ritch R, Panda-Jonas S. Facts and myths of cerebrospinal fluid pressure for the physiology of the eye. Prog Retin Eye Res. 2015;46:67–83.
Author information
Authors and Affiliations
Contributions
Study design: MMB, GMK, JBJ, and SPJ; Examination of participants: MMB, GMK, EMI, GMB, LIG, AMN, AVI, DAT, and LRR; Funding: MMB; Statistical analysis: SPJ and JBJ; Writing of the first manuscript draft: SPJ and JBJ; Revising and approval of the final manuscript version: MMB, GMK, EMI, GMB, LIG, AMN, AVI, DAT, LRR, JBJ, and SPJ.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Bikbov, M.M., Kazakbaeva, G.M., Iakupova, E.M. et al. Prevalence of overweight, obesity and underweight and associated factors in a three-generation population-based study in a large Russian region. Int J Obes 50, 365–377 (2026). https://doi.org/10.1038/s41366-025-01936-w
Received:
Revised:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41366-025-01936-w


