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Aim. To study the problem of obesity at the national level.Material and methods. The ESSE-RF3 study examined a representative sample of the population of 15 Russian regions aged 35-74 years with a response >70% (n=28731). Modular design questionnaire was used. The study received approval from the Independent Ethics Committee of the National Medical Research Center for Therapy and Preventive Medicine. Signed informed consent was obtained from each participant. Body mass (BM) was measured once with an accuracy of 100 g. The height was measured with an accuracy of 0,5 cm once in a standing position without shoes. Waist circumference was measured with a standard measuring tape with an accuracy of 0,5 cm. There were following BM categories: insufficient (BM index (BMI) 40). Abdominal obesity (AO) was assessed using the following criteria: waist circumference ≥102 cm and ≥88 cm for men and women, respectively. The changes of obesity were studied with the inclusion of materials from the ESSE-RF (2012-14) and ESSE-RF2 (2017) studies, carried out using the same methodology with ESSE-RF3 in the same age range of 35-64 years. Statistical analysis was carried out using the open-source R 3.6.1 environment. Analysis of associations between factors and a binary variable was carried out using the logistic regression method. The significance level for all tested hypotheses was 0,05.Results. Mean BMI values is 28,2±4,6 kg/m2 among men and 28,9±5,9 kg/m2 among women. The prevalence of overweight is 44,0 and 33,7%, obesity — 30,0 and 39,5%, AO — 30,9 and 55,1% among men and women, respectively. In addition, 30,3% have a combination of obesity and AO; obesity and/or AO — 49,1%. Obesity statistics did not significantly change, but in each section the rates are higher among women. The closest associations were found between obesity and hypertension (men: odds ratio (OR) (95% confidence interval) 2,88 (2,66-3,12), women: OR 3,03 (2,81-3,27) (p

Aim. To analyze the prevalence of anxiety and depression in Russians using the Hospital Anxiety and Depression Scale (HADS) during the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study. To study the associations of increased levels of anxiety and depression (HADS-A/ HADS-D ≥8+) with demographic and socio-economic characteristics according to the ESSE-RF3 study.Material and methods. In the ESSE-RF3 study, a representative sample of the population of 15 Russian regions aged 35-74 years was examined with a response >70%. After removing respondents with missing data from the analysis, the final sample was 28716 people. The level of anxiety/depression was assessed by the sum of points

At the present time, there is a growing trend of vegetarian diets, even in countries with a traditional Nordic diet.Aim. To study the prevalence and characteristics of vegetarian diets in the Russian population at the present stage.Material and methods. The analysis included data from representative samples of the adult population 25-74 years old, examined within three sections of the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study in 20132014, 2017 and 2020-2022. A total of 57351 participants (24862 men and 32489 women) were analyzed. Nutrition assessment was carried out using the frequency method. Restrictive diets include semi-vegetarian, vegetarian and vegan diets. Data are presented as frequencies and odds ratios (OR) with 95% confidence intervals (CI).Results. The prevalence of restrictive diets in the Russian population according to three sections of the ESSE-RF study was 3,1%. There is an increase in the prevalence of these diets from 2,7% in 2013, to 3,6% in 2017 and 3,3% in 2020-2022. Men are less likely than women to exclude red meat from their diet (OR 0,55 [0,49-0,61], p

Aim. To study the proportion of coronavirus disease 2019 (COVID-19) survivors and hospitalization cases of the Russian population for the period 2020-2022, depending on socio-demographic characteristics.Material and methods. The work was performed on random samples of the population aged 35-74 years from 15 regions participating in the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study. The examination was carried out from February 2020 to March-April 2022 (n=28718, 47% men).Results. According to a survey of sample participants, the proportion of respondents who had COVID-19 by the spring of 2022 among all surveyed was 26,0%. Among 45-54-year-old respondents, this parameter was maximum (28,0%), while among those aged 65-74-year-old — minimal (22,3%). The following categories of people were more likely to have COVID-19: women (27,9 vs 23,9% of men, p

Aim. To establish reference values of handgrip test for a middle-aged and elderly population (35-74 years), as well as study the association of health characteristics and muscle strength.Material and methods. For the analysis, we used data from the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study, conducted in 2020-2022. The sample was selected similarly to the previous ESSE-RF stages. The sample included 27689 men and women aged 35-74 years from 14 Russian regions. Of the individual variables, the characteristics with the highest evidence level of influence on muscle strength were taken as covariates. Muscle strength was assessed by a handgrip test using a MEGEON 34090 device with an accuracy of 0,1 kg. Three measurements were taken for each arm in a standing position, and the maximum value was used in the analysis. Normative sex-specific handgrip test values were established regardless of age: a participant's handgrip value was considered reduced if it was 2 standard deviations below the average value of participants at the age with the best/highest scores.Results. The average handgrip test values for the entire male sample were 43,4±11,1 kg, while for the female sample — 27,6±6,1 kg. In men under 53 years of age, muscle strength decreases at a rate of 0,12 kg/year, then the decline accelerates to 0,48 kg/year. In women under 45,5 years of age, a slight and insignificant increase in muscle strength was detected by 0,02 kg/year, and after 45,5 years, handgrip value falls at a rate of 0,2 kg/year. Therefore, both men and women lose 1,3% of muscle strength per year to year and the decline rate do not differ. The peak age can be considered 35 years old, since at this age, the average muscle strength in men and women is 47,6±11,5 and 29,2±5,7 kg, respectively, and the calculated norm (M–2SD) for men was 47,6–2´11,5≈24 kg using rounding down, and for women it was 29,2– 2´5,7≈17 kg. With age, as expected, the proportion of people of both sexes with a metabolic syndrome level below the threshold increases, reaching 7,5% after 65 years. Multivariate regression analysis showed that, taking into account adjustments for covariates, for every 10 years, muscle strength decreases by an average of 3,1 kg in men and by 1,7 kg in women. Negative associations of metabolic syndrome with inflammation markers (fibrinogen and C-reactive protein) and noncommunicable diseases are also significant, but only men have significantly lower rates of metabolic syndrome in the presence of anxiety and depression, low income and urban residence.Conclusion. The use of handgrip test in any age range during medical examinations or preventive examinations of the adult population and informing primary care specialists about the results obtained can help improve the general health of the population.

Aim. To assess the associations of social and behavioral risk factors with cognitive impairment in the Russian population aged 55-74 years.Material and methods. This study was conducted as part of the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study. A total of 13736 participants living in 14 Russian regions were examined. Cognition was assessed using the Mini-Mental State Examination (MMSE) score as follows: cognitive impairment was recorded in the total score

Aim. To assess adherence to a healthy lifestyle depending on the individual and socio-economic characteristics of the Russian population (according to the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study), followed by a comparative analysis with ESSE-RF2 (2017).Material and methods. The analysis was carried out based on research data from ESSE-RF2 in 2017 and ESSE-RF3 in 2020-2022. The healthy lifestyle adherence index included following parameters: no smoking; sufficient consumption of vegetables and fruits; physical activity; no excessive salt intake and alcohol abuse. Three following categories of adherence to a healthy lifestyle were analyzed: high, satisfactory, low. From individual variables, individual socio-economic characteristics with the highest evidence level of influence on healthy lifestyle were taken.Results. In the ESSE-RF3 sample, 47,2% of respondents had low adherence to a healthy lifestyle, 37,2% — satisfactory, and 15,6% — high. Women are more committed to healthy behavior compared to the male population — 19,6 vs 11,1% (p

Aim. To analyze alcohol consumption according to the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study and compare these data with the previous two ESSE-RF sections.Material and methods. Data from following cross-sectional sections of the ESSE-RF study were used: 2013-2014, 2017, 2020-2022. At the first stage, alcohol consumption was assessed according to ESSE-RF3 data in 2020-2022, conducted during the coronavirus disease 2019 (COVID-19) pandemic (n=28685, 35-74 years). At the second stage, a comparison of all three sections of the ESSE-RF study was carried out (n=42043, 35-64 years). Alcohol consumption was divided into those not drinking alcohol, those drinking alcohol little or moderately (

Aim. To study the epidemiological characteristics and changes of hypertension (HTN), as well as factors associated with HTN in the Russian population aged 35-74 years.Material and methods. The Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study examined a representative sample of the population aged 35-74 years of 15 Russian regions with a response >70% (n=28611). Modular design questionnaire was used. Blood pressure (BP) was measured twice after a 5-minute rest in a sitting position on the right arm with an Omron blood pressure monitor. There were following criteria for hypertension: systolic blood pressure (SBP) ≥140 mm Hg and/or diastolic blood pressure (DBP) ≥90 mm Hg, and/or antihypertensive therapy. The effectiveness of treatment was considered the proportion (%) of people who achieved target blood pressure values among those being treated, while the control was considered the proportion (%) of patients with a BP

Aim. To study levels and types of physical activity, as well as its individual socio-demographic and seasonal determinants in the Russian population according to the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study.Material and methods. Data from the ESSE-RF2 (2017) and ESSERF3 (2020-2022) was used. The sample included 28731 men and women aged 35-74 from 15 regions. The level of physical activity was assessed using the Global physical activity questionnaire (GPAQ). The following socio-economic and demographic characteristics were taken as covariates: sex, age, place of residence (urban and rural), level of education, marital status, work characteristics, income level, season of the year. Statistical analysis was performed using SPSS version 22 (IBM Corp. USA).Results. The study showed that 27,4% of the sample have insufficient physical activity. Among the low physical activity category, there are more women than men (28,12 vs 26,7%, p

Aim. To study the prevalence of dyslipidemias and their association with various risk factors in the Russian population of men and women aged 35-74 years in 2020-2022.Material and methods. This work was carried out as part of the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation-3 (ESSE-RF3) study. The sample included 28731 men and women aged 35-74 years living in 15 Russian regions. Hypercholesterolemia (HC) was diagnosed with total cholesterol (TC) ≥5,0 mmol/l, while elevated low-density lipoprotein cholesterol (LDL-C) was considered ≥3,0 mmol/l, hypertriglyceridemia — with triglyceride levels ≥1,7 mmol/l, reduced high-density lipoprotein cholesterol (HDL-C)

Aim. To assess the prevalence of psychological stress (PS) using the Perceived Stress Scale-10 (PSS-10) in various Russian regions and to analyze PS associations with socio-demographic characteristics and behavioral risk factors and some non-communicable diseases (NCDs).Material and methods. We studied representative samples of the population aged 35-74 years in the Russian regions, examined as part of the Epidemiology of Cardiovascular Diseases in Regions of Russian Federation-3 (ESSE-RF3) study. The subjects were interviewed using a questionnaire containing a section on the psychological stress — PSS-10. For men, PS levels are ranked as follows: "Low" — 0-11, "Medium" — 12-17, "High" — 18-40. For women, PS levels are ranked as follows: "Low" — 0-13, "Medium" — 14-19, "High" — 20-40. Statistical analysis was carried out using the open-source R 3.6.1 environment.Results. The average PS level was 12,0±7,3 (men: 10,7±7,0; women: 13,1±7,4). Every fifth person (20,3%) in the Russian population has a high PS level, with higher PS rates among women compared to men (high PS level — 21,6 vs 18,9%, respectively). A high PS level was associated with the income level (average or low), no marriage, unemployment, low level of physical activity, depression, anxiety, NCDs (type 2 diabetes, myocardial infarction, stroke), additionally for women — hypertension.Conclusion. The Russian population is characterized by a high PS prevalence, while PS rates are higher among women, which must be taken into account when predicting the NCD risks.