Abdominal obesity (AO) is an alimentary-dependent risk factor, the development and prognosis of which is directly specified by eating habits.Aim. To study the associations of dietary patterns and AO among the adult Russian population.Material and methods. The analysis was carried out using representative samples of male and female population aged 25-64 years (n=19297; men, 7342; women, 11,955) from 13 Russian regions. The response was about 80%. Nutrition was assessed based on the prevalence of consumption of the main food groups forming the daily diet. Results are presented as odds ratios and 95% confidence intervals.Results. Men with AO, compared with men without AO, more often consume red meat and vegetables/fruits daily by 12% and 13%, respectively, as well as less often eat cereals and pasta, confectionery, sour cream, and cottage cheese by 17%, 24%, 14%, and 19%, respectively. In women with AO, compared to women without AO, there are more differences in the diet, as they more often daily consume red meat by 28%, fish and seafood by 26%, poultry by 23%, meat and sausages and fruits/vegetables by 14%, milk, kefir, yogurt by 11%, as well as less often — cereals and pasta, sweets, and sour cream by 11%, 14%, and 8%, respectively. In women with AO, the prevalence and amount of drinking beer and dry wines is lower, but they consume spirits more frequently (p=0,0001), but without significant differences in amount. Men with AO have a higher prevalence and amount of drinking dry and fortified wines, as well as strong alcoholic drinks. Men with AO drinks higher amount of beer. In addition, men with AO showed a positive association with alcohol consumption (χ=53,64, p<0,0001), while women with AO had a negative association (χ=28,64, p<0,0001). Cardioprotective eating habits are more often (17%) present among people with AO without sex differences.Conclusion. The study revealed significant differences in dietary patterns of persons with AO compared with those without AO, most pronounced in women.

Aim. To assess the individual and complex prognostic value of various blood biochemical parameters (biomarkers) in the non-invasive diagnosis of coronary artery (CA) atherosclerosis.Material and methods. The study included 216 patients (men, 115; women, 101) aged 24 to 87 years (mean age, 61,5±10,7 years), who underwent indicated coronary angiography. All patients underwent a biochemical blood tests to determine the parameters of lipid, carbohydrate and nitrogen metabolism, the hemostatic system, inflammatory markers, as well as the creatinine level as an indicator of renal function.Results. Analysis revealed biomarkers, the deviations in the level of which contribute to the diagnosis and determination of the coronary involvement. These biomarkers include glucose, creatinine, C-reactive protein, and adiponectin. Using these biochemical parameters, a multivariate model (MVM) was constructed, which was significant for the diagnosis of coronary atherosclerosis and determination of its severity. With the help of ROC-analysis, the cutoff point of MVM of 2 was found. MVM >2 with a sensitivity of 72% indicate CA atherosclerosis of any severity, as well as with a specificity of 62,5%, it can be ruled out. Using MVM data and a cutoff point of 2, a binary logistic regression model was built, according to which, with a MVM >2, the odds for detecting CA atherosclerosis of any degree is 2,1 times higher (95% confidence interval (CI), 1,2-3,8; p=0,010), severe CA — 4,7 times (95% CI, 1,9-12,0; p=0,001) compared with individuals with MVM ≤2, who have 2,8 times (95% CI, 1,4-4,9; p=0,002) a higher chance of detecting intact CAs.Conclusion. Thus, the total MVM score of 0-2 indicates the absence of coronary atherosclerosis, while 3-4 points -CA atherosclerosis of any severity.

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Aim. To study the associations of subclinical and clinical anxiety and depression, assesed by the Hospital Anxiety and Depression Scale (HADS), ≥8 points and ≥11 points, respectively, with all-cause mortality and cardiovascular mortality, as well as with the total number of nonfatal cardiovascular events (CVEs) in Russia.Material and methods. The study included male and female population aged 25-64 years from the Epidemiology of Cardiovascular Diseases and their Risk Factors in Regions of Russian Federation (ESSE-RF) study who signed an informed consent. The study included 16941 people (men, 6811 (40,2%)). To assess the anxiety and depression, HADS scale was used. The statistical analysis included individuals with subclinical/clinical (HADS ≥8) and clinical (HADS ≥11) anxiety and depression (HADS-A and HADS-D). The median of prospective follow-up was 5,5 years (from 2012 to 2019). The composite endpoint (CE) (cardiovascular death and nonfatal CVE occurred in 268 (4,2%) men and 203 (2,1%) women, while all-cause — in 220 (3,2%) men and 152 (1,5%) women.Results. The results obtained showed that the survival rate of men and women with varying degrees of anxiety (HADS-A ≥8 and ≥11) was associated with all-cause mortality and CE in women. However, this relationship has not been confirmed in multivariate models. In the multivariate Cox proportional hazards model 1 (M1), a significant association of depression with all-cause mortality in women was revealed — HADS-D ≥8: relative risk (RR), 2,22; 95% confidence interval (CI): 1,56-3,15 and ≥11: RR, 2,43; 95% CI: 1,65-3,59 (p<0,005), as well as in men — HADS-D ≥8: RR, 1,51; 95% CI: 1,10-2,08 (p=0,01). In model 2 (M2), when added to M1 as a predictor of prior cardiovascular disease (≥3), depression was significantly associated with all-cause mortality only in women — HADS-D ≥8: RR, 2,23; 95% CI: 1,53-3,24 (p<0,005); HADS-D ≥11: RR, 2,61; 95% CI: 1,74-3,92 (p=0,01). In addition, only in women, subclinical/clinical depression (HADS-D ≥8) was significantly associated with fatal and non-fatal CVE — HADS-D ≥8: RR, 1,46; 95% CI: 1,08-1,98 (p=0,02).Conclusion. Depression (HADS-D ≥8 and ≥11) in Russian women was significantly associated with all-cause mortality and CE (HADS-D ≥8). In men, depression (HADS-D ≥8) was significantly associated with allcause mortality when only conventional risk factors were included in the model, without taking into account prior cardiovascular disease. Anxiety in multivariate models was not associated with all-cause mortality and CE in both sex groups.