Lipoprotein(a) in an adult sample from the Russian population: distribution and association with atherosclerotic cardiovascular diseases.

Introduction: Lipoprotein(a) (Lp(a)) is recognized as an independent risk factor for atherosclerotic cardiovascular disease (ASCVD). The aim of this study was to estimate the distribution of Lp(a) levels in working age adults from the Russian population and to assess its association with ischemic heart disease (IHD), myocardial infarction (MI), stroke, diabetes mellitus (DM), and arterial hypertension (AH). Material and methods: This substudy of the population-based study "Epidemiology of Cardiovascular Diseases and their Risk Factors in Some Regions of the Russian Federation" (ESSE-RF) included 8461 subjects aged 25-64 years (63.7% women) without lipid-lowering drugs. Atherosclerotic cardiovascular disease was self-reported. Lp(a), apolipoproteins AI and B, and lipid and glucose levels in blood serum were determined. Results: The prevalence of Lp(a) ≥ 30 mg/dl was 20.5% and 23.0%, and prevalence of Lp(a) ≥ 50 mg/dl was 13.3% and 15.2%, in men and women, respectively. An association of Lp(a) with IHD, MI, and AH, but not with stroke and DM, was shown. A cut-off level of Lp(a) of 9 mg/dl was determined, above which there was increased frequency of MI (by 59.2%, p = 0.02), IHD (by 33.4%, p < 0.001), and AH (by 11.6%, p < 0.001). In the multivariate analysis only the association of Lp(a) with IHD (1.19 (1.01-1.41), p = 0.038) and MI (1.57 (1.06-2.38), p = 0.028) remained significant. Conclusions: Lipoprotein(a) level ≥ 30 mg/dl was detected in every fifth adult aged 25-64 years. Increased risk of MI and IHD starts at an Lp(a) serum level above 9 mg/dl.

Mental Health of the Russian Federation Population versus Regional Living Conditions and Individual Income.

The objective of our study was to assess the impact of regional living conditions on the Russian population's mental health. For the analysis, we used data from the cross-sectional stage of a 2013-2014 study, "Epidemiology of Cardiovascular Diseases in the Regions of the Russian Federation (ESSE-RF)". The final sample included 18,021 men and women 25-64 years of age from 11 regions of Russia. Using principal component analysis, we performed an integral simultaneous assessment of stress, anxiety, and depression. To describe the regional living conditions, we utilized five regional indices, which were computed from publicly available data of the Federal State Statistics Service of Russia. Overall, mental health indicators were improved, on the one hand, with the deterioration of social conditions and an aggravation of the demographic depression in the region, but on the other hand, they were improved with an increase in economic and industrial development, along with economic inequality among the population. In addition, the impact of regional living conditions on mental health increased with a higher individual wealth. The obtained results provided new fundamental knowledge on the impact of the living environment on health, using the case study of the Russian population, which has been little studied in this regard.

Major and minor ECG abnormalities depending on regional living conditions in Russia.

The goal of our study was to explore the effect of living conditions on the odd of major and minor ECG abnormalities on a large region scale in Russia. For the analysis, cross-sectional data of the Russian study, ESSE-RF 2013-2014, were used. They were collected on a sample of 16,400 subjects from 10 regions of the Russia. ECG abnormalities were grouped into two categories: Major and Minor (sensu the 2009 version of the Minnesota Code Classification System). Regional living conditions were considered comprehensively via five indices combining 33 characteristics of the regions. The estimates were presented as odds ratios and their 95% confidence intervals. The prevalence values of major abnormalities in the sample were 8.4% among women and 9.4% among men (p = 0.021). The prevalence of minor abnormalities constituted 34.1% and 45.9%, respectively (p < 0.001). In men, the odd of major ECG abnormalities increased with the demographic depression growth (1.08: 1.04-1.12) and with industrial development growth in the region (1.12: 1.07-1.17). In women, an increase in the odd of major ECG abnormalities was directly associated with industrial development (1.12: 1.07-1.16) and inversely related to the economic development in the region (0.94: 0.89-0.99). The odd of minor ECG abnormalities in men and women declined with the growth of the regional economic development: OR of 0.95: 0.93-0.98, and OR of 0.92: 0.87-0.99, respectively. The study demonstrated an effect of regional living conditions of the Russian population on the odd of major and minor ECG abnormalities. The most stable and logically explainable relationships were obtained for industrial and economic characteristics of living conditions.

What Regional Living Conditions Affect Individual Smoking of Adults in Russia.

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.