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Introduction Cardiovascular disease (CVD) is the leading cause of mortality in Kyrgyzstan. The study aimed to explore the CVD prevalence depending on various risk factors across diverse ethnic groups in Kyrgyzstan. Materials and Methods A cross‐sectional study was carried out among six ethnic groups in Kyrgyzstan, aged 18 years and above. The sample was stratified for age, education, family status, and income. We used a questionnaire with 47 questions to explore the health status, behavior and lifestyle determinants, and prevalence of CVD. We used the chi‐square test to investigate differences between groups, and ANCOVA to determine differences between mean scores on analyzed variables. Logistic regression was used to analyze the relationship between independent and dependent variables. Confounding variables were only included if they correlated with both the independent and dependent variables. Interaction analyses were conducted with logistic regression to investigate if there were any differences between the nationalities in the relationships between the independent and dependent variables. Results Our study confirmed that the CVD prevalence across diverse ethnic groups can be significantly different: In Kyrgyzstan, the most disadvantaged groups in this context were East European and the least—Western Asian. There was no difference between studied groups found in the ethnicity‐stratified prevalence of such CVD risk factors as low fruit and vegetable consumption, alcohol intake, smoking, and body mass index (BMI). There was no statistically significant association between educational attainment and CVD risk markers within the studied ethnic groups. The analysis of ethnicity‐stratified prevalence of CVD risk markers resulted in a significant difference in physical activity across ethnicity groups. Conclusion The study results provided an understanding of the ethnicity‐stratified prevalence of CVD risk markers in the population in Kyrgyzstan. They could serve as instrumental in tailoring targeted public health interventions to address the burden of CVDs in specific subpopulations. This study examines CVD risk factors across ethnic groups in Kyrgyzstan, revealing significant disparities in prevalence rates (20.6%–42.7%). Age emerged as a critical factor, with BMI and alcohol consumption identified as significant risk factors across all ethnic groups.

To facilitate resilience to a changing climate, it is necessary to go beyond quantitative studies and take an in-depth look at the functioning of health systems and the variety of drivers shaping its effectiveness. We clarify the factors determining the effectiveness of the Estonian health system in assessing and managing the health risks of climate change. Document analyses, expert interviews with key informants from health systems whose responsibilities are relevant to climate change, and analysis of a population-based survey conducted in 2015, indicate that the health effects of climate change have not been mainstreamed into policy. Therefore, many of the potential synergistic effects of combining information on health systems, environment, and vulnerable populations remain unexploited. The limited uptake of the issue of climate change-related health risks may be attributed to the lack of experience with managing extreme weather events; limited understanding of how to incorporate projections of longer-term health risks into policies and plans; unclear divisions of responsibility; and market liberal state approaches. Minority groups and urban dwellers are placing strong pressure on the health system to address climate change-related risks, likely due to their lower levels of perceived control over their physical wellbeing. The results have implications for national, community, and individual resilience in upper-middle income countries in Eastern Europe.

Environmental issues continue to grow in international prominence, owing to the importance of environ- mental conditions to human wellbeing globally. This paper focuses on why people’s values toward care for nature and environmental protection change — one of the antecedents to pro-environmental norms and behaviour. We aimed to clarify how individual and country-level contextual factors affect environmental values in Europe. Our cross-national study used data on individual environmental values from the 2004 and 2012 rounds of the European Social Survey, in combination with macro-level data on socio-economic security, countries’ environmental performance and educational levels. Country-level results revealed that throughout the studied years, nature held more importance to people in countries with increased levels of unemployment and exacerbated income disparities, including in transitional, post-socialist economies. Care for environment is less prominent in countries already performing well in terms of socio-economic and environmental performance, i.e. in states that may have higher resilience capacity towards adverse environmental impacts. Besides a state’s science education, which functions as an effective socialiser of caring for nature, practical experiences with adverse environmental impacts (e.g. health impairment) could be used to predict an increase in the mean value of the natural environment in a country.

PurposeAdverse health impact of air pollution on health may not only be associated with the level of exposure, but rather mediated by perception of the pollution and by top-down processing (e.g. beliefs of the exposure being hazardous), especially in areas with relatively low levels of pollutants. The aim of this study was to test a model that describes interrelations between air pollution (particles < 10 μm, PM10), perceived pollution, health risk perception, health symptoms and diseases.MethodsA population-based questionnaire study was conducted among 1000 Estonian residents (sample was stratified by age, sex, and geographical location) about health risk perception and coping. The PM10 levels were modelled in 1 × 1 km grids using a Eulerian air quality dispersion model. Respondents were ascribed their annual mean PM10 exposure according to their home address. Path analysis was performed to test the validity of the model.ResultsThe data refute the model proposing that exposure level significantly influences symptoms and disease. Instead, the perceived exposure influences symptoms and the effect of perceived exposure on disease is mediated by health risk perception. This relationship is more pronounced in large cities compared to smaller towns or rural areas.ConclusionsPerceived pollution and health risk perception, in particular in large cities, play important roles in understanding and predicting environmentally induced symptoms and diseases at relatively low levels of air pollution.

Purpose We aimed to explore the effect of ambient air pollution on individual persons' levels of subjective well-being. Our research question was: to what extent is an individual's life satisfaction shaped by exposure to PM₁₀? Methods We used regression models to analyse data on subjective well-being indicators from the last two waves of the European social survey (ESS) and detailed information on local levels of the air pollutant PM₁₀. Results An increase in PM₁₀ annual concentrations by 1 µg/m³ was associated with a significant reduction in life satisfaction of .017 points on the ESS 10-point life satis faction scale. Conclusions Our findings suggest that even in cases of relatively low levels of PM₁₀ air pollution (mean annual concentration of 8.3 ± 3.9 µg/m³), in addition to the effects on physical health, exposure negatively affects subjective assessments of well-being.

The fish kill in lake Peipsi (Estonia/Russia) during the extraordinarily hot summer of 2010 evoked an investigation into the effects of environmental extremes and long-term eutrophication on the fish community of the lake. Current data on lake Peipsi indicate that temperature extremes and synergistic interactions with eutrophication have led to a radical restructuring of the fish community. Commercial landings of lake smelt, Osmerus eperlanus eperlanus m. spirinchus (Pallas), the previous dominant species of the fish community, have decreased dramatically since the 1930s, these declines being coupled with summer heat waves coinciding with low water levels. Gradual decline in smelt stock and catches was significantly related to a decline of near-bottom oxygen conditions and to a decrease in water transparency. The first documented fish kill in 1959 occurred only in the southern, most shallow and eutrophic lake (lake Pihkva). Recently, summer fish kill have become more frequent, involving larger areas of the lake. In addition to the cold-water species, e.g. smelt and vendace Coregonus albula (L.), the abundance of bottom-dwelling fishes such as ruffe Gymnocephalus cernuus (L.) and juvenile fish have significantly decreased after the 2010 heat wave probably due to hypoxia and warm water temperatures. This study showed that fish community structure in large shallow lakes may be very vulnerable to water temperature increases, especially temperature extremes in combination with eutrophication.

This article focuses on the socioeconomic aspects of recreational ice fishing and on the related pressures on the fish stocks of Lake Peipsi in changing ice conditions. Structured interviews conducted with anglers were combined with the assessment of the landings, the numbers of fishermen, and fluctuations in ice-cover periods. At weekends, up to 3000 anglers were observed on the Estonian side of the ice-covered lake. Respondents defined ice fishing as a hobby; however, financial gain from selling caught fish was an important incentive for retired or unemployed persons. Eurasian perch, Perca fluviatilis L., was the most important target fish. Catches amounted from 0 to 20 kg (mean ~4 kg) per day per angler. Depending on the length of the ice-cover period, which varied from a few days to four months, the total catch may differ about ten times. In the case of long ice-cover periods, anglers may fish out approximately 40% of the total catch of perch, roach, Rutilus rutilus (L.), and ruffe, Gymnocephalus cernuus (L.) in the lake. However, favouring recreational fisheries would help to maintain the traditional fisheries-dependent lifestyle and benefit socioeconomically less secured people around Lake Peipsi and beyond.

Submicroscopic nanoparticles (NPs) in air have received much attention due to their possible effects on health and wellbeing. Adverse health impacts of air pollution may not only be associated with level of exposure, but also mediated by the perception of the pollution and by beliefs of the exposure being hazardous. The aim of this study was to test a model that describes interrelations between NP pollution, perceived air quality, health risk perception, stress, and sick building syndrome. In the NanoOffice study, the level of NPs was measured and a survey on health risk perception was conducted among 260 employees in twelve office buildings in northern Sweden. Path analyses were performed to test the validity of the model. The data refute the model proposing that the NP exposure level significantly influences stress, chronic diseases, or SBS symptoms. Instead, the perceived exposure influences the perceived risk of NP, and the effect of perceived exposure on SBS and chronic disease is mediated by stress. There was little concern about nanoparticles, despite relatively high levels in some facilities. Perceived pollution and health risk perception may explain a large part of the environmentally induced symptoms and diseases, particularly in relatively low levels of pollution. The research results raise important questions on the physiologically or psychologically mediated health effects of air pollution.

Eastern Estonia has large oil shale mines and industrial facilities mainly focused on electricity generation from oil shale and shale oil extraction, which produce high air pollution emissions. The “Study of the health impact of the oil shale sector—SOHOS” was aimed at identifying the impacts on residents’ health and annoyance due to the industrial processing. First, a population-wide survey about health effects and annoyance was carried out. Second, the total and oil shale sectors’ emitted concentrations of benzene, phenol, and PM2.5 were modelled. Third, the differences between groups were tested and relationships between health effects and environmental pollution studied using multiple regression analysis. Compared to the control groups from non-industrial areas in Tartu or Lääne-Viru, residents of Ida-Viru more frequently (p < 0.05) reported wheezing, chest tightness, shortness of breath, asthma attacks, a long-term cough, hypertension, heart diseases, myocardial infarction, stroke, and diabetes. All health effects except asthma were reported more frequently among non-Estonians. People living in regions with higher levels of PM2.5, had significantly higher odds (p < 0.05) of experiencing chest tightness (OR = 1.13, 95% CI 1.02–1.26), shortness of breath (1.16, 1.03–1.31) or an asthma attack (1.22, 1.04–1.42) during the previous year. People living in regions with higher levels of benzene had higher odds of experiencing myocardial infarction (1.98, 1.11–3.53) and with higher levels of phenol chest tightness (1.44, 1.03–2.00), long-term cough (1.48, 1.06–2.07) and myocardial infarction (2.17, 1.23–3.83). The prevalence of adverse health effects was also higher among those who had been working in the oil shale sector. Next to direct health effects, up to a quarter of the residents of Ida-Viru County were highly annoyed about air pollution. Perceived health risk from air pollution increased the odds of being annoyed. Annoyed people in Ida-Viru had significantly higher odds of experiencing respiratory symptoms during the last 12 months, e.g., wheezing (2.30, 1.31–4.04), chest tightness (2.88, 1.91–4.33 or attack of coughing (1.99, 1.34–2.95).

The health effects of particulate matter, increasing emissions from transportation and requisites for making use of biofuels brings up the need to understand how individuals interpret air-pollution-related risks from wood burning and traffic. We aim to clarify the extent to which perceived risks from road-traffic and wood-smoke can be explained by the individual psychological, social status-related and socio-institutional factors in the case of two Northern European countries, Finland and Estonia. This approach elucidates which of the closely intertwined factors shape the perception of risks from air pollution in different socio-institutional contexts and for different air pollution sources. The study uses data from cross-sectional population surveys conducted among 1112 Finnish and 1000 Estonian residents about environmental health risk perception and coping. Binary logistic regression analysis demonstrated that in both countries’ cases, the perceived personal and general risk from traffic exhaust and wood-smoke can be explained by the perception of exposure to pollution and, also, by the level of knowledge of, the worry about and the possible symptoms from environmental health factors. The perceived vulnerability due to poor health further sensitises individuals towards risks from air pollution. Higher trust towards state institutions in guaranteeing a healthy living environment and greater perceived openness about the risks may attenuate the feelings of vulnerability to air pollution risks in Finland compared to Estonia. The ingrained appeal for wood burning may explain the higher acceptance of exhausts from wood-burning compared to traffic. This may lead to scant support for measures to reduce emissions from wood combustion.