Biological mechanisms of disease and death in Moscow: rationale and design of the survey on Stress Aging and Health in Russia (SAHR)

<p>Abstract</p> <p>Background</p> <p>Prior research has revealed large differences in health and mortality across countries, socioeconomic groups, and individuals. Russia experiences one of the world's highest levels of all-cause and cardiovascular mortality, great mortality differences within the population, and a heavy burden of ill health. Psychological stress has been suggested as a likely explanation of health loss and premature death in Russia and Eastern Europe. However, physiological mechanisms connecting stress with health in Russia remain unclear since existing epidemiological data are scarce and limited to conventional risk factors.</p> <p>Method and Design</p> <p>The survey on Stress Aging and Health in Russia (SAHR) is addressing this knowledge gap by collecting an unusually rich database that includes a wide range of reported information, physical and cognitive health outcomes, and biomarkers in a sample of Muscovite men and women aged 55 and older. The total planned sample size is 2,000 individuals. The sample was randomly selected from epidemiological cohorts formed in Moscow between the mid-1970s and the 1990s and from medical population registers. The baseline data collection was carried out from December 2006 to June 2009. Interviews and medical tests were administered at hospital or at home according to standardized protocol. Questionnaire information includes health, socio-demographic characteristics, economic well-being, cognitive functioning, and batteries on stress and depression. Biomarkers include anthropometry, grip strength, resting ECG, conventional cardiovascular factors of risk such as lipid profile and blood pressure, and other biochemical parameters such as those related to inflammation, glucose and insulin resistance, coagulation, fibrinolysis, and stress hormones. In addition to these measurements, SAHR includes dynamic biomarkers provided by 24-hour ECG (Holter) monitoring. This method continuously registers the beat-to-beat heart rate in naturalistic conditions without restrictions on normal daily activities. It provides information about heart functioning, including heart rate variability and ischemic and arrhythmic events.</p> <p>Re-examination of the study subjects will be conducted in 2009–2011 and will focus on health, functional status, economic conditions, behaviors, and attitudes towards aging. The subjects are also followed up for mortality and non-fatal health events.</p> <p>Discussion</p> <p>The SAHR will produce a valuable set of established and novel biomarkers combined with self-reported data for the international research community and will provide important insights into factors and biological mechanisms of mortality and health losses in Russia.</p

Objective sleep duration and health in elderly Russians

Objectives - We examine the relationship between sleep duration and health in the high mortality context of Russia. Methods - Night and daytime sleep durations are based on self-reports and 24-hour heart rate trends (Holter monitoring). The sample of 201 individuals (Holter data for 185) is drawn from the Moscow Lipid Research Clinics cohort, followed up since 1975-77. Field-work occurred in 2002-03. Results - Although objective and reported mean sleep are similar, there are significant intra-individual differences. Significant associations are found between objective sleep and health: longer sleep corresponds to lower grip strength, poorer self-rated health and immediate recall, and higher mortality risk score. No significant relationships are found for subjective sleep. Conclusions - We provide the first evidence of an association between long sleep and worse health outcomes among elderly Russians. Predictive power increases if objective sleep measures are used, a consideration which is especially important in small studies.

Biological mechanisms of disease and death in Moscow: rationale and design of the survey on Stress Aging and Health in Russia (SAHR)

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POTs: Protective Optimization Technologies

Algorithmic fairness aims to address the economic, moral, social, and political impact that digital systems have on populations through solutions that can be applied by service providers. Fairness frameworks do so, in part, by mapping these problems to a narrow definition and assuming the service providers can be trusted to deploy countermeasures. Not surprisingly, these decisions limit fairness frameworks' ability to capture a variety of harms caused by systems. We characterize fairness limitations using concepts from requirements engineering and from social sciences. We show that the focus on algorithms' inputs and outputs misses harms that arise from systems interacting with the world; that the focus on bias and discrimination omits broader harms on populations and their environments; and that relying on service providers excludes scenarios where they are not cooperative or intentionally adversarial. We propose Protective Optimization Technologies (POTs). POTs provide means for affected parties to address the negative impacts of systems in the environment, expanding avenues for political contestation. POTs intervene from outside the system, do not require service providers to cooperate, and can serve to correct, shift, or expose harms that systems impose on populations and their environments. We illustrate the potential and limitations of POTs in two case studies: countering road congestion caused by traffic-beating applications, and recalibrating credit scoring for loan applicants.Comment: Appears in Conference on Fairness, Accountability, and Transparency (FAT* 2020). Bogdan Kulynych and Rebekah Overdorf contributed equally to this work. Version v1/v2 by Seda G\"urses, Rebekah Overdorf, and Ero Balsa was presented at HotPETS 2018 and at PiMLAI 201

Secondary raw materials of agricultural processing companies as a source of anthocyanin colorants

Many recent researches in vitro and in vivo proved the large therapeutic potency of non-toxic anthocyans in anti-inflammatory, anti-infective, anti-oxidative actions. Anthocyanin is a natural phenolic colorant approved in many countries. A reason why the world market of natural food colorants is reduced is because fruit and berry raw materials are expensive. Yet the fruit and berry raw materials are extracted with significant losses and by-products. This constitutes around 23-45% of the whole amount of berries processes in the Russian Federation. Thus, a priority direction of the food industry is a development of technologies allowing to use precious berry pomace with high bioactive compounds, i.e. anthocyans, organic acids, pectin. The aim of the research is to extract food colorant from the pomace of Vaccínium myrtíllus and Vaccínium vítis-idaéa to identify individual anthocyanin pigments. The food safety and composition of the pomace of Vaccinium myrtillus and Vaccinium vitis-idaea as raw material for food colorant extraction were found. Individual anthocyanin pigments of anthocyanin extracts were identified through the method of high-performance liquid chromatography. Cyanidin-3-galactoside was found in the extracts of berries (85,6 %) and pomaces (81,2%) of Vaccinium vitis-idaea. Fifteen compounds were identified in the extracts of Vaccinium myrtillus. The major ones were delphinidin-3-glucoside (13,4 %), delphinidin-3-galactoside (12,4 %), and cyanidin-3-glucoside for the fresh berries. As for the pigments of its pomaces, they were delphinidin-3-glucoside (15,3 %), delphinidin-3-galactoside (14,7 %), and delphinidin-3-arabinoside (10,5 %). Hence, there are more anthocyanin pigments in the extracts of pomaces, than in those of the fresh berries with identical compounds – 24,7 % more for Vaccinium myrtillus and 11,1 % more for Vaccinium myrtillus. The possibility to extract anthocyanin pigments from by-products of the local fruit and berry raw materials – i.e. of Vaccinium myrtillus and Vaccinium vitis-idae ones – and identify them is discussed

To what extent do biomarkers account for the large social disparities in health in Moscow?

The Russian population continues to face political and economic challenges, has experienced poor general health and high mortality for decades, and has exhibited widening health disparities. The physiological factors underlying links between health and socioeconomic position in the Russian population are therefore an important topic to investigate. We used data from a population-based survey of Moscow residents aged 55 and older (n = 1495), fielded between December 2006 and June 2009, to address two questions. First, are social disparities evident across different clusters of biomarkers? Second, does biological risk mediate the link between socioeconomic status and health? Health outcomes included subscales for general health, physical function, and bodily pain. Socioeconomic status was represented by education and an index of material resources. Biological risk was measured by 20 biomarkers including cardiovascular, inflammatory, and neuroendocrine markers as well as heart rate parameters from 24-h ECG monitoring. For both sexes, the age-adjusted educational disparity in standard cardiovascular risk factors was substantial (men: standardized β = −0.16, 95% CI = −0.23 to −0.09; women: β = −0.25, CI = −0.32 to −0.18). Education differences in inflammation were also evident in both men (β = −0.17, CI = −0.25 to −0.09) and women (β = −0.09, CI = −0.17 to −0.01). Heart rate parameters differed by education only in men (β = −0.10, CI = −0.18 to −0.02). The associations between material resources and biological risk scores were generally weaker than those for education. Social disparities in neuroendocrine markers were negligible for men and women. In terms of mediating effects, biological risk accounted for more of the education gap in general health and physical function (19–36%) than in bodily pain (12–18%). Inclusion of inflammatory markers and heart rate parameters—which were important predictors of health outcomes—may explain how we accounted for more of the social disparities than previous studies

Recalibration of the SCORE risk chart for the Russian population

Persisting high levels of cardiovascular mortality in Russia present a specific case among developed countries. Application of cardiovascular risk prediction models holds great potential for primary prevention in this country. Using a unique set of cohort follow-up data from Moscow and Saint Petersburg, this study aims to test and recalibrate the Systematic Coronary Risk Evaluation (SCORE) methods for predicting CVD mortality risks in the general population. The study is based on pooled epidemiological cohort data covering the period 1975–2001. The algorithms from the SCORE project were used for the calibration of the SCORE equation for the Moscow and St. Petersburg populations (SCORE-MoSP). Age-specific 10-year cumulative cardiovascular mortality rates were estimated according to the original SCORE-High and SCORE-Low equations and compared to the estimates based on the recalibrated SCORE-MoSP model and observed CVD mortality rates. Ten-year risk prediction charts for CVD mortality were derived and compared using conventional SCORE-High and recalibrated SCORE-MoSP methods. The original SCORE-High model tends to substantially under-estimate 10-year cardiovascular mortality risk for females. The SCORE-MoSP model provided better results which were closer to the observed rates. For males, both the SCORE-High and SCORE-MoSP provided similar estimates which tend to under-estimate CVD mortality risk at younger ages. These differences are also reflected in the risk prediction charts. Using non-calibrated scoring models for Russia may lead to substantial underestimation of cardiovascular mortality risk in some groups of individuals. Although the SCORE-MoSP provide better results for females, more complex scoring methods involving a wider range of risk factors are neede