Assessment of obesity prevalence and associated factors in the russian federation based on the 2024 rosstat sample survey data

Aim. To assess the prevalence of obesity and identify the factors associated with it among the adult population in the Russian Federation in order to determine the main directions for the development of measures for obesity prevention.
Materials and methods. We carried out a secondary analysis of the data from the selective monitoring of the population health status by the Federal State Statistics Service for 2024. The study included data from 95,887 respondents from all regions of the Russian Federation. Descriptive statistics, χ2 test, Mann – Whitney test, Kruskal–Wallis test, and multiple logistic regression analysis were used for statistical analysis.
Results. The prevalence of obesity among the adult population of the Russian Federation was 23.7% (class 1 – 17.9%, class 2 – 4.7%, and class 3 – 1.6%). Significant regional differences in the prevalence of obesity were revealed: from 6.6% in the Chukotka Autonomous Okrug to 34.3% in the Jewish Autonomous Oblast. The proportion of obese people was significantly higher among women (27.2% vs. 20.4% among men), rural residents (27.9% vs. 22.7% among urban residents), and respondents with low socioeconomic status. Multiple regression analysis revealed the most significant risk factors for obesity: lack of accessible sports infrastructure in the respondents’ area of residence (odds ratio (OR) = 2.71; 95% confidence interval (95% CI): 1.608–4.471), retirement status (OR = 1.63; 95% CI: 1.548–1.707), low income (OR = 1.60; 95% CI: 1.014–2.477), and low awareness of balanced nutrition (OR = 1.44; 95% CI: 1.243–1.659).
Conclusion. Based on the results of the study, key areas for the development of measures for the prevention of obesity have been formulated: creating an environment that supports a healthy lifestyle; improving public health literacy; developing preventive healthcare; as well as developing and implementing measures taking into account regional specifics and the needs of various socio-demographic groups.

1. Reinbacher P., Draschl A., Smolle M.A., Hecker A., Gaderer F., Lanner K.B. et al. The impact of obesity on the health of the older population: a cross-sectional study on the relationship between health-related quality of life and body mass index across different age groups. Nutrients. 2023;16(1):51. DOI: 10.3390/nu16010051.

2. Coulman K.D., Blazeby J.M. Health-related quality of life in bariatric and metabolic surgery. Curr. Obes. Rep. 2020;9(3):307–314. DOI: 10.1007/s13679-020-00392-z.

3. Nagi M.A., Ahmed H., Rezq M.A.A., Sangroongruangsri S., Chaikledkaew U., Almalki Z. et al. Economic costs of obesity: a systematic review. Int. J. Obes. 2024;48(1):33–43. DOI: 10.1038/s41366-023-01398-y.

4. Hales C.M., Carroll M.D., Fryar C.D., Ogden C.L. Prevalence of obesity and severe obesity among adults: United States, 2017-2018. NCHS Data Brief. 2020;360:1–8.

5. Ibrahim S., Akram Z., Noreen A., Baig M.T. Overweight and obesity prevalence and predictors in people living in Karachi. J. Pharm. Res. Int. 2021:194–202. DOI: 10.9734/jpri/2021/v33i31B31708.

6. Li M., Gong W., Wang S., Li Z. Trends in body mass index, overweight and obesity among adults in the USA, the NHANES from 2003 to 2018: a repeat cross-sectional survey. BMJ Open. 2022;12(12):e065425. DOI: 10.1136/bmjopen-2022-065425.

7. Abbott L., Lemacks J., Greer T. Development and evaluation of a measure for social support provided by friends during lifestyle management programs. Healthcare. 2022;10(5):901. DOI: 10.3390/healthcare10050901.

8. Ghosh S., Paul M., Mondal K.K., Bhattacharjee S., Bhattacharjee P. Sedentary lifestyle with increased risk of obesity in urban adult academic professionals: an epidemiological study in West Bengal, India. Sci. Rep. 2023;13(1):4895. DOI: 10.1038/s41598-023-31977-y.

9. Nyberg S.T., Batty G.D., Pentti J., Virtanen M., Alfredsson L., Fransson E.I. et al. Obesity and loss of disease-free years owing to major non-communicable diseases: a multicohort study. Lancet Public Health. 2018;3(10):e490–e497. DOI: 10.1016/S2468-2667(18)30139-7.

10. Kerkadi A., Sadig A.H., Bawadi H., Al Thani A.A.M., Al Chetachi W., Akram H. et al. The relationship between lifestyle factors and obesity indices among adolescents in Qatar. Int. J. Environ. Res. Public Health. 2019;16(22):4428. DOI: 10.3390/ijerph16224428.

11. World Health Organization. Obesity: preventing and managing the global epidemic. Geneva, 1997: WHO.

12. Kim D., Hou W., Wang F., Arcan C. Factors affecting obesity and waist circumference among US adults. Prev. Chronic. Dis. 2019;16:180220. DOI: 10.5888/pcd16.180220.

13. Oh K., Kim Y., Kweon S., Kim S., Yun S., Park S. et al. Korea National Health and Nutrition Examination Survey, 20th anniversary: accomplishments and future directions. Epidemiol. Health. 2021;43:e2021025. DOI: 10.4178/epih.e2021025.

14. Kaboré S., Millogo T., Soubeiga J.K., Lanou H., Bicaba B., Kouanda S. Prevalence and risk factors for overweight and obesity: a cross-sectional countrywide study in Burkina Faso. BMJ Open. 2020;10(11):e032953. DOI: 10.1136/bmjopen-2019-032953.

15. Kim G., Woo H., Ji Y.A. Factors affecting abdominal obesity: analyzing national data. Healthcare. 2024;12(8):827. DOI: 10.3390/healthcare12080827.

16. Shabu S. Prevalence of overweight/obesity and associated factors in adults in Erbil, Iraq: A household survey. Zanco J. Med. Sci. 2019;23(1):128–134. DOI: 10.15218/zjms.2019.017.