Previous studies have shown significant differences in the health status of the population depending on the place of residence. Despite the ongoing preventive measures, there is no improvement in the epidemiological situation in relation to noncommunicable diseases, including due to unfavorable living conditions. This study is a continuation of the following earlier studies: Epidemiology of Cardiovascular Diseases in Regions of Russian Federation (ESSE-RF) and ESSE-RF-2.Aim. To assess the prevalence of cardiovascular diseases, various risk factors (RFs) of these diseases and their association in Russian regions with different economic, climate and geographic characteristics to determine the risk profile of the region and develop approaches to targeted prevention programs specific to the regions.Material and methods. The study selected 30 regions representing each federal district of the Russian Federation. The survey of participants is carried out in three stages as follows: survey using an original modular questionnaire; measurements, including anthropometry, hand grip strength test, blood pressure and heart rate assessment; blood sampling, followed by biobanking and laboratory tests.Conclusion. The results obtained will allow deepening knowledge about the RF profile specific to a particular region, evaluating the effectiveness of preventive programs, and planning new ones taking into account regional and socio-demographic characteristics. This will become the basis for a better understanding of the socio-economic burden of noncommunicable diseases and the economic damage of RFs.

An empirical assessment of diets using a posteriori analysis allows us to define actual dietary patterns (DPs) in the food consumption structure of a population. This study represents an a posteriori assessment of DPs for the Russian population in general as well as their dependence on socio-demographic and regional parameters. The data were obtained from 21,923 individuals aged 25–64 years old from a Russian multicenter study of “Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation” conducted in 2013–2014. Cross-sectional study subjects were interviewed face-to-face in order to obtain data on their diet. DPs were defined using principal component analysis. Four DPs were specified as “Rational”, “Salt”, “Meat”, and “Mixed”; all these variants together accounted for 55.9% of variance. Diets in gender and age groups corresponded to those for an all-Russian population; in several regions, the defined diets differed from the all-Russian ones. More favorable diet trends were observed among women, people with no family, people not working, and urban dwellers, and diet trends were more favorable with an increase in age, level of education, and material wealth. Thus, a posteriori DPs were defined for the Russian population, which were stable in sex/age groups and were mediated by the socio-demographic characteristics of the population.

Objectives: Our study evaluated the impact of a wide range of characteristics of large administrative regions on the individual level of cigarette smoking in the Russian adult population.Methods: The pool of participants included 20,303 individuals aged 25–64 years. We applied 64 characteristics of the 12 Russian regions under study for 2010–2014. Using principal component analysis, we deduced five evidence-based composite indices of the regions. We applied the generalized estimating equation to determine associations between the regional indices and the individual level of smoking.Results: The increased Industrial index in the region is associated with the probability of smoking (odds ratio = 1.15; 95% confidence interval = 1.06–1.24). The other indices show associations with smoking only in separate gender and educational groups. Surprisingly, it was found that the Economic index has no associations with the probability of smoking.Conclusion: We evaluated the key associations of the territorial indices with the individual probability of smoking, as well as the mutual influence between the territorial indices and individual factors.

Objective ― Analyzing gender-related specificities of hyperuricemia associations with lifestyle choices in the Russian Federation (RF) population. Material and Methods ― Cross-sectional survey was performed within the guidelines of the Russian national multicenter study ESSE-RF. The final sample size was 20781 people 25-64 years old. The effect of age, body mass index (BMI), diet, smoking status, and alcohol consumption on the incidence of hyperuricemia was evaluated. The analysis was carried out separately for men and women, using logistic regression. To build a model for predicting hyperuricemia, classification trees were used. Results ― Multidirectional associations of hyperuricemia were revealed both in women (with BMI, age, ‘Smart’ dietary pattern, alcohol consumption) and in men (with BMI, ‘smart’ dietary pattern, alcohol consumption, smoking status). The predictive accuracy of hyperuricemia incidence models was 60.4% in women vs. 65.7% in men. In both gender groups, BMI had the highest contribution to predicting the hyperuricemia incidence, while the next predictors, in terms of significance, differed among men and women. In women, the greatest impact, in decreasing order, was exerted by age, dietary patterns and drinking, whereas in men, by smoking status, dietary patterns and drinking. Conclusion ― In the RF population, there are multiple gender-specific associations of hyperuricemia with lifestyle choices, particularly nutrition, smoking and alcohol consumption.

Aim -Evaluate the influence of work environment on the risk of arterial hypertension (AH) development in employees of various social groups. Material and Methods -3664 employees of Siberian industrial enterprises and office workers were examined. Apart from occupation AH predictors were considered to be gender, age, Quetlet index, smoking, alcohol abuse, marital status and education. Classification trees were used as a method of predicting AH presence or absence. Results -A classification tree allowing 75% prediction of AH presence/ absence was obtained. Quetlet index (100), age (83) and occupation (63) were maximum significant predictors for classification. A structure of the classification tree changed in different age groups and; moreover, with similar prediction level the predictor significance differed greatly. In middle-aged population occupation along with Quetlet index was characterized by higher significance (89) while in elderly subjects the significance of occupation decreased (55) and the significance of education and marital status rose (60 and 34, respectively). Different AH prevalence was observed in the occupational groups with similar working conditions. Conclusion -Quetlet index, age and occupation are highly significant for AH prediction in working age population. Occupation is very significant for AH prediction in middle-aged patients. Other factors under study do not usually influence AH development much, though, with ageing their role gets more important.

Nutrition is the one of the most important factors of the formation of a state of health of the person that requires the solution of two main objectives: determination of main population tendencies in the dietary patterns (DP) and the study of the influence of consumption of certain feedstuffs, products and groups of products on a state of health of the person. Within multicenter epidemiological research of the ESSE-RF the analysis of DP of the population of the Kemerovo region (1628 people aged of 25-64 years) and their association with indices of cardiovascular health is carried out. For grouping (determination of DP) frequencies of consumption of 13 groups of foodstuff the factorial analysis were used (a method of main components). The characteristic of commitment to the allocated DP in various age, gender and social-economic groups of the population, and also association of commitment to DP with factors of cardiovascular risk and some cardiovascular diseases is given. There were selected four DP types explaining of 44.8% of the structure of the frequency of consumption of foodstuff. In three out of four DPs there were revealed associations with the age and gender structure and education level of the population. According to two DPs multiple associations with indices of the cardiovascular health were noted: systolic and diastolic blood pressure, the waist circumference, the level of cholesterol, triglycerides, glucose, presence of arterial hypertension, obesity, hypertriglyceridemia. The obtained associations allow to characterize “dairy” DP (high frequency of consumption of milk, sour cream, cottage cheese and cheese) as favorable, and “meat” DP (high frequency of consumption of meat, fish and seafood, birds) as adverse in respect of cardiovascular health that correspond to results of other investigations. The performed analysis has allowed characterize food preferences of the population of the Siberian region as in general on population, and on age, gender and social-economic groups. The obtained associations of two out of four DP with indices of cardiovascular health correspond to results of other Russian and foreign investigations.

Introduction: Tobacco smoking and hazardous alcohol consumption significantly contribute to the burden of diseases worldwide. Characteristics of the environment has been consistently shown to be associated with the patterns of tobacco smoking and alcohol consumption patterns. This evidence has been previously summarized on country-and neighbourhood-level reviews although the evidence on the associations on the regional level is still scarce. Aim: to present a protocol of the systematic review of available evidence on the associations between certain characteristics of large national regions and alcohol consumption and tobacco smoking. Methods: A systematic search of PubMed, Google Scholar, OpenGrey, CrossRef, and eLibrary) will be conducted to identify original studies with no date or language restrictions. Only studies with territorial characteristics as exposure variables and with tobacco smoking and alcohol consumption as the outcomes will be selected. The studies have no restrictions regarding participant characteristics, that is, gender, age, socioeconomic criteria, or health status. Titles, abstracts, and full text of articles retrieved from the search will be screened and read independently by two reviewers for eligibility. Articles selected for inclusion will be critically and independently appraised by two reviewers. The full-text of the selected studies will be assessed in detail, and findings and their illustrations will be extracted and aggregated. Any disagreements between the reviewers that may arise at any stage will be resolved through discussion, or mediated by a third reviewer. Systematic review registration number: PROSPEROCRD42021234874.

Introduction: Many studies around the world are undertaken to establish the association between deprivation and public health indicators. Both separate indicators (e.g., income, education, occupation, public security and social support) and complex models (indices) include several indicators. Deprivation indices are actively used in public health since the mid 1980s. There is currently no clear classification of indices. Methods: In the current review, data related to deprivation indices are combined and analyzed in order to create a taxonomy of indices based on the results obtained. The search was carried out using two bibliographic databases. After conducting a full-text review of the articles and searching and adding relevant articles from the bibliography, and articles that were already known to the authors, sixty studies describing the use of sixty deprivation indices in seventeen countries were included in the narrative synthesis, resulting in development of a taxonomy of indices. When creating the taxonomy, an integrative approach was used that allows integrating new classes and sub-classes in the event that new information appears. Results: In the review, 68% (41/60) of indices were classified as socio-economic, 7% (4/60) of indices as material deprivation, 5% (3/60) of indices as environmental deprivation and 20% (12/60) as multidimensional indices. Conclusions: The data stimulates the use of a competent approach, and will help researchers and public health specialist in resolving conflicts or inconsistencies that arise during the construction and use of indices.