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Hazardous drinking, defined as the consumption of homemade, unofficially made alcohol and non-beverages, is prevalent and accounts for a high proportion of alcohol-related deaths in Russia. Individual-level characteristics are important explanations of hazardous drinking, but they are unlikely to explain spatial variation in this type of alcohol consumption. Areas that attracted insufficient attention in the research of hazardous drinking are the legacy of industrialization and the speed of economic reforms, mainly through the privatization policy of major enterprises in the 1990s. Applying mixed-effects logistic regressions to a unique dataset from 30 industrial towns in the European part of Russia, we find that in addition to individual-level characteristics such as gender, age, marital status, education, social isolation, labor market status, and material deprivation, the types of towns where informants’ relatives resided such as industrial structure and speed of privatization also accounted for the variance in hazardous alcohol consumption among both male and female populations of the analyzed towns.

We explored the characteristics and motivations of people who, having obtained their genetic or genomic data from Direct-To-Consumer genetic testing (DTC-GT) companies, voluntarily decide to share them on the publicly accessible web platform openSNP. The study is the first attempt to describe open data sharing activities undertaken by individuals without institutional oversight. In the paper we provide a detailed overview of the distribution of the demographic characteristics and motivations of people engaged in genetic or genomic open data sharing. The geographical distribution of the respondents showed the USA as dominant. There was no significant gender divide, the age distribution was broad, educational background varied and respondents with and without children were equally represented. Health, even though prominent, was not the respondents' primary or only motivation to be tested. As to their motivations to openly share their data, 86.05% indicated wanting to learn about themselves as relevant, followed by contributing to the advancement of medical research (80.30%), improving the predictability of genetic testing (76.02%) and considering it fun to explore genotype and phenotype data (75.51%). Whereas most respondents were well aware of the privacy risks of their involvement in open genetic data sharing and considered the possibility of direct, personal repercussions troubling, they estimated the risk of this happening to be negligible. Our findings highlight the diversity of DTC-GT consumers who decide to openly share their data. Instead of focusing exclusively on health-related aspects of genetic testing and data sharing, our study emphasizes the importance of taking into account benefits and risks that stretch beyond the health spectrum. Our results thus lend further support to the call for a broader and multi-faceted conceptualization of genomic utility.

Abstract Background The estimated prevalence of smoking and proportion of deaths due to tobacco in Eastern European countries are among the highest in the world. Existing estimates of mortality attributable to smoking in the region are mostly indirect. The aim of this analysis was to calculate the proportion of tobacco-attributed deaths in three Eastern European countries using individual level cohort data. Methods The PrivMort project established a cohort of relatives of participants in population sample surveys in Russia, Belarus and Hungary. Survey participants provided data on smoking habits and vital statistics of their close relatives between 1982 and 2013. Population attributable risk fractions (PARF) in men (n = 99528) and women (n = 77848) aged 40–79 years were calculated from the prevalence rates of smoking and hazard ratios of mortality for smokers versus non-smokers. Trends in PARF over four 8-year time periods (1982–1989, 1990–1997, 1998–2005, and 2006–2013) were examined. Results In men in the most recent period (2006–2013), the proportions of deaths attributable to tobacco were 23% in Russia, 22% in Belarus, and 22% in Hungary. The respective estimates in women were lower (2%, 2%, and 13%), possibly due to underestimation of smoking prevalence. PARF estimates have declined slightly since the early 1990s in men but increased in women. Conclusions Consistently with existing indirect estimates, our results based on individual level cohort data suggest that over one fifth of all deaths in men aged 40–79 years are attributable to tobacco. While these proportions are lower in women, the increasing trend is a major concern. Implications This is the first large scale, individual-level cohort study that estimated the mortality attributable to tobacco smoking directly in Eastern European population samples. The results confirm previous indirect estimates and show that more than 20% of all deaths in Eastern European men can be attributed to tobacco. The study also confirms the increasing trend in smoking-related deaths among women. These findings emphasize the importance of targeted policy interventions in Eastern European countries.

Background Previous research using routine data identified rapid mass privatisation as an important driver of mortality crisis following the collapse of Communism in Central and Eastern Europe. However, existing studies on the mortality crisis relying on individual level or routine data cannot assess both distal (societal) and proximal (individual) causes of mortality simultaneously. The aim of the PrivMort Project is to overcome these limitations and to investigate the role of societal factors (particularly rapid mass privatisation) and individual-level factors (e.g. alcohol consumption) in the mortality changes in post-communist countries. Methods The PrivMort conducts large-sample surveys in Russia, Belarus and Hungary. The approach is unique in comparing towns that have undergone rapid privatisation of their key industrial enterprises with those that experienced more gradual forms of privatisation, employing a multi-level retrospective cohort design that combines data on the industrial characteristics of the towns, socio-economic descriptions of the communities, settlement-level data, individual socio-economic characteristics, and individuals’ health behaviour. It then incorporates data on mortality of different types of relatives of survey respondents, employing a retrospective demographic approach, which enables linkage of historical patterns of mortality to exposures, based on experiences of family members. By May 2016, 63,073 respondents provided information on themselves and 205,607 relatives, of whom 102,971 had died. The settlement-level dataset contains information on 539 settlements and 12,082 enterprises in these settlements in Russia, 96 settlements and 271 enterprises in Belarus, and 52 settlement and 148 enterprises in Hungary. Discussion In addition to reinforcing existing evidence linking smoking, hazardous drinking and unemployment to mortality, the PrivMort dataset will investigate the variation in transition experiences for individual respondents and their families across settlements characterized by differing contextual factors, including industrial characteristics, simultaneously providing information about how excess mortality is distributed across settlements with various privatization strategies.

Research on intergenerational social mobility and health-related behaviours yields mixed findings. Depending on the direction of mobility and the type of mechanisms involved, we can expect positive or negative association between intergenerational mobility and health-related behaviours. Using data from a retrospective cohort study, conducted in more than 100 towns across Belarus, Hungary and Russia, we fit multilevel mixed-effects Poisson regressions with two measures of health-related behaviours: binge drinking and smoking. The main explanatory variable, intergenerational educational mobility is operationalised in terms of relative intergenerational educational trajectories based on the prevalence of specified qualifications in parental and offspring generations. In each country the associations between intergenerational educational mobility, binge drinking and smoking was examined with incidence rate ratios and predicted probabilities, using multiply imputed dataset for missing data and controlling for important confounders of healthrelated behaviours. We find that intergenerational mobility in relative educational attainment has varying association with binge drinking and smoking and the strength and direction of these effects depend on the country of analysis, the mode of mobility, the gender of respondents and the type of health-related behaviour. Along with accumulation and Falling from Grace hypotheses of the consequences of intergenerational mobility, our findings suggest that upward educational mobility in certain instances might be linked to improved health-related behaviours.

Objectives The very high rates of smoking among men and the rapid changes among women in the Post-Soviet countries mean that this region offers an opportunity to understand better the intergenerational role of parental influences on smoking. Methods In this study, we exploit a unique data set, the PrivMort cohort study conducted in 30 Russian and 20 Belarusian towns in 2014–2015, which collects information on behaviours of middle-aged and older individuals and their parents, including smoking. We explored the associations between smoking by parents and their offspring using multiply imputed data sets and multilevel mixed-effect Poisson regressions. Results Adjusting for a wide array of social origin, socio-demographic, and socio-economic variables, our analysis suggests that sons of regularly smoking fathers have prevalence ratios of 1.35 [95% confidence intervals (CI) 1.21–1.50] and 1.39 (CI 1.23–1.58) of smoking, while the figures for daughters of regularly smoking mothers are 1.91 (CI 1.40–2.61) and 2.30 (CI 1.61–3.28), respectively, in Russia and Belarus. Conclusions Intergenerational paternal and maternal influences on smoking should be taken into account in studies seeking to monitor the rates of smoking and the impact of tobacco control programmes.

This paper contributes to the discussions on the nexus between migration and development by assessing the effects of remittances on human development. We do so first through a quantitative approach, and second, by elaborating the findings of our quantitative analysis within a broader theoretical and policy framework. By using OLS, we measure the impact of remittances on human development and compare it with the effect of foreign direct investment (FDI) and official development assistance (ODA). The findings indicate that remittances have a positive correlation with the human development level and are indeed an effective way to enhance human development in countries with medium income, especially in the medium run. We demonstrate that remittances show divergent developmental effects in countries with different government approaches to migration. In the second part of the paper, we discuss different hypotheses about the causes of the problems that our findings reveal and compare different actual policy solutions found in the developing world. We argue that remittances have the most positive effect in terms of boosting human development in the countries where the state perceives migration as an effective labour export strategy. [PUBLICATION ABSTRACT]

An unprecedented mortality crisis struck Eastern Europe during the transition from socialism to capitalism. Working-class men without a college degree suffered the most. Some argue that economic dislocation caused stress and despair, leading to adverse health behavior and ill health (dislocation-despair approach). Others suggest that hazardous drinking inherited as part of a dysfunctional working-class culture and populist alcohol policy were the key determinants (supply-culture approach). We enter this debate by performing the first quantitative analysis of the association between economic dislocation in the form of industrial employment decline and mortality in postsocialist Eastern Europe. We rely on a novel multilevel dataset, fitting survival and panel models covering 52 towns and 42,800 people in 1989-1995 in Hungary and 514 medium-sized towns in the European part of Russia. The results show that deindustrialization was significantly associated with male mortality in both countries directly and indirectly mediated by adverse health behavior as a dysfunctional coping strategy. Both countries experienced severe deindustrialization, but social and economic policies seem to have offset Hungary’s more immense industrial employment loss. The policy implication is that social and economic policies addressing the underlying causes of stress and despair can improve health.