1. |
- Orru, Hans, et al.
(author)
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Residents' Self-Reported Health Effects and Annoyance in Relation to Air Pollution Exposure in an Industrial Area in Eastern-Estonia
- 2018
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In: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 15:2
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Journal article (peer-reviewed)abstract
- 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 Laane-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).
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2. |
- Orru, Kati, et al.
(author)
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Making Administrative Systems Adaptive to Emerging Climate Change-Related Health Effects : Case of Estonia
- 2018
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In: Atmosphere. - : MDPI AG. - 2073-4433. ; 9:6
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Journal article (peer-reviewed)abstract
- 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.
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3. |
- Orru, Kati, et al.
(author)
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The role of perceived air pollution and health risk perception in health symptoms and disease : a population-based study combined with modelled levels of PM10
- 2018
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In: International Archives of Occupational and Environmental Health. - : Springer. - 0340-0131 .- 1432-1246. ; 91:5, s. 581-589
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Journal article (peer-reviewed)abstract
- Purpose: Adverse 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 μ m, PM10), perceived pollution, health risk perception, health symptoms and diseases.Methods: A 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.Results: The 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.Conclusions: Perceived 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.
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4. |
- Orru, Kati, et al.
(author)
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Well-being and environmental quality : Does pollution affect life satisfaction?
- 2016
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In: Quality of Life Research. - : Springer Science and Business Media LLC. - 0962-9343 .- 1573-2649. ; 25:3, s. 699-705
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Journal article (peer-reviewed)abstract
- 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/m(3) was associated with a significant reduction in life satisfaction of .017 points on the ESS 10-point life satisfaction 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/m(3)), in addition to the effects on physical health, exposure negatively affects subjective assessments of well-being.
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5. |
- Orru, Mall, et al.
(author)
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Re-vegetation processes in cutaway peat production fields in Estonia in relation to peat quality and water regime
- 2016
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In: Environmental Monitoring & Assessment. - : Springer. - 0167-6369 .- 1573-2959. ; 188:12
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Journal article (peer-reviewed)abstract
- Eighty-one cutaway peat production fields with a total area of about 9000 ha exist and were studied in Estonia in 2005-2015. Only a very small number of the fields (seven) have been restored-either afforested or used for growing berries. The re-vegetation of Estonian cutaway peat production fields is mainly the result of natural processes, which are generally very slow due to an unfavourable water regime or a too thin remaining peat layer. The fields are mostly covered by cotton grass and birches. Often sparse vegetation covers 15-20% of a peat field, but some fields have turned into heaths or grasslands with plant coverage up to 60%. However, due to changes in environmental (mainly hydrological) conditions and peat characteristics (mainly peat type), these areas can also be new niches for several species. A number of moss species new to or rare in Estonia, e.g. Pohlia elongata, Ephemerum serratum, Campylopus introflexus and Bryum oblongum, were recorded.
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6. |
- Reckien, D., et al.
(author)
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Dedicated versus mainstreaming approaches in local climate plans in Europe
- 2019
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In: Renewable & sustainable energy reviews. - : Elsevier. - 1364-0321 .- 1879-0690. ; 112, s. 948-959
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Journal article (peer-reviewed)abstract
- Cities are gaining prominence committing to respond to the threat of climate change, e.g., by developing local climate plans or strategies. However, little is known regarding the approaches and processes of plan development and implementation, or the success and effectiveness of proposed measures. Mainstreaming is regarded as one approach associated with (implementation) success, but the extent of integration of local climate policies and plans in ongoing sectoral and/or development planning is unclear. This paper analyses 885 cities across the 28 European countries to create a first reference baseline on the degree of climate mainstreaming in local climate plans. This will help to compare the benefits of mainstreaming versus dedicated climate plans, looking at policy effectiveness and ultimately delivery of much needed climate change efforts at the city level. All core cities of the European Urban Audit sample were analyzed, and their local climate plans classified as dedicated or mainstreamed in other local policy initiatives. It was found that the degree of mainstreaming is low for mitigation (9% of reviewed cities; 12% of the identified plans) and somewhat higher for adaptation (10% of cities; 29% of plans). In particular horizontal mainstreaming is a major effort for local authorities; an effort that does not necessarily pay off in terms of success of action implementation. This study concludes that climate change issues in local municipalities are best tackled by either, developing a dedicated local climate plan in parallel to a mainstreamed plan or by subsequently developing first the dedicated and later a mainstreaming plan (joint or subsequent “dual track approach”). Cities that currently provide dedicated local climate plans (66% of cities for mitigation; 26% of cities for adaptation) may follow-up with a mainstreaming approach. This promises effective implementation of tangible climate actions as well as subsequent diffusion of climate issues into other local sector policies. The development of only broad sustainability or resilience strategies is seen as critical.
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7. |
- Reckien, Diana, et al.
(author)
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How are cities planning to respond to climate change? : Assessment of local climate plans from 885 cities in the EU-28
- 2018
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In: Journal of Cleaner Production. - : Elsevier. - 0959-6526 .- 1879-1786. ; 191, s. 207-219
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Journal article (peer-reviewed)abstract
- The Paris Agreement aims to limit global mean temperature rise this century well below 2 degrees Celsius above pre-industrial levels. This target has wide-ranging implications for Europe and its cities, which are the source of substantial proportions of greenhouse gas emissions. This paper reports the state of planning for climate change by collecting and analysing local climate mitigation and adaptation plans across 885 urban areas of the EU-28. A typology and analysis framework was developed that classifies local climate plans in terms of their spatial (alignment with local, national and international policy) and sectoral integration (alignment into existing local policy documents). We document local climate plans that we call type A1: non-compulsory by national law and not developed as part of international climate networks; A2: compulsory by national law and not developed as part of international networks; A3: plans developed as part of international networks. This most comprehensive analysis to date reveals that there is large diversity in the availability of local climate plans with most being available in Central and Northern European cities. Approximately 66% of EU cities have an A1, A2, or A3 mitigation plan, 26% an adaptation plan, 17% joint adaptation and mitigation plans, and about 30% lack any form of local climate plan (i.e. what we classify as A1, A2, A3 plans). Mitigation plans are more numerous than adaptation plans, but mitigation does not always precede adaptation. Our analysis reveals that city size, national legislation, and international networks can influence the development of local climate plans. We found that size does matter as about 70% of the cities above 1 million inhabitants have a comprehensive and stand-alone mitigation and/or an adaptation plan (A1 or A2). Countries with national climate legislation (A2), such as Denmark, France, Slovakia and the United Kingdom, are found to have nearly twice as many urban mitigation plans, and five times more likely to produce urban adaptation plans, than countries without such legislation. A1 and A2 mitigation plans are particularly numerous in Denmark, Poland, Germany, and Finland; while A1 and A2 adaptation plans are prevalent in Denmark, Finland, UK and France. The integration of adaptation and mitigation is country-specific and can mainly be observed in countries where local climate plans are compulsory, especially in France and the UK. Finally, local climate plans of international climate networks (A3) are mostly found in the many countries where autonomous, i.e. A1 plans are less common. The findings reported here are of international importance as they will inform and support decision-making and thinking of stakeholders with similar experiences or developments at all levels and sectors in other regions around the world.
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8. |
- Armstrong, Ben, et al.
(author)
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The Role of Humidity in Associations of High Temperature with Mortality : A Multicountry, Multicity Study
- 2019
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In: Journal of Environmental Health Perspectives. - : The National Institute of Environmental Health Sciences. - 0091-6765 .- 1552-9924. ; 127:9
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Journal article (peer-reviewed)abstract
- Background: There is strong experimental evidence that physiologic stress from high temperatures is greater if humidity is higher. However, heat indices developed to allow for this have not consistently predicted mortality better than dry-bulb temperature.Objectives: We aimed to clarify the potential contribution of humidity an addition to temperature in predicting daily mortality in summer by using a large multicountry dataset.Methods: In 445 cities in 24 countries, we fit a time-series regression model for summer mortality with a distributed lag nonlinear model (DLNM) for temperature (up to lag 3) and supplemented this with a range of terms for relative humidity (RH) and its interaction with temperature. City-specific associations were summarized using meta-analytic techniques.Results: Adding a linear term for RH to the temperature term improved fit slightly, with an increase of 23% in RH (the 99th percentile anomaly) associated with a 1.1% [95% confidence interval (CI): 0.8, 1.3] decrease in mortality. Allowing curvature in the RH term or adding terms for interaction of RH with temperature did not improve the model fit. The humidity-related decreased risk was made up of a positive coefficient at lag 0 outweighed by negative coefficients at lags of 1–3 d. Key results were broadly robust to small model changes and replacing RH with absolute measures of humidity. Replacing temperature with apparent temperature, a metric combining humidity and temperature, reduced goodness of fit slightly.Discussion:The absence of a positive association of humidity with mortality in summer in this large multinational study is counter to expectations from physiologic studies, though consistent with previous epidemiologic studies finding little evidence for improved prediction by heat indices. The result that there was a small negative average association of humidity with mortality should be interpreted cautiously; the lag structure has unclear interpretation and suggests the need for future work to clarify.
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9. |
- Carlsen, Hanne Krage, et al.
(author)
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Indicators of residential traffic exposure: Modelled NOX, traffic proximity, and self-reported exposure in RHINE III
- 2017
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In: Atmospheric Environment. - : Elsevier BV. - 1352-2310 .- 1873-2844. ; 167, s. 416-425
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Journal article (peer-reviewed)abstract
- Few studies have investigated associations between self-reported and modelled exposure to traffic pollution. The objective of this study was to examine correlations between self-reported traffic exposure and modelled (a) NOX and (b) traffic proximity in seven different northern European cities; Aarhus (Denmark), Bergen (Norway), Gothenburg, Umeå, and Uppsala (Sweden), Reykjavik (Iceland), and Tartu (Estonia). We analysed data from the RHINE III (Respiratory Health in Northern Europe, www.rhine.nu) cohorts of the seven study cities. Traffic proximity (distance to the nearest road with >10,000 vehicles per day) was calculated and vehicle exhaust (NOX) was modelled using dispersion models and land-use regression (LUR) data from 2011. Participants were asked a question about self-reported traffic intensity near bedroom window and another about traffic noise exposure at the residence. The data were analysed using rank correlation (Kendall's tau) and inter-rater agreement (Cohen's Kappa) between tertiles of modelled NOX and traffic proximity tertile and traffic proximity categories (0–150 metres (m), 150–200 m, >300 m) in each centre. Data on variables of interest were available for 50–99% of study participants per each cohort. Mean modelled NOX levels were between 6.5 and 16.0 μg/m3; median traffic intensity was between 303 and 10,750 m in each centre. In each centre, 7.7–18.7% of respondents reported exposure to high traffic intensity and 3.6–16.3% of respondents reported high exposure to traffic noise. Self-reported residential traffic exposure had low or no correlation with modelled exposure and traffic proximity in all centres, although results were statistically significant (tau = 0.057–0.305). Self-reported residential traffic noise correlated weakly (tau = 0.090–0.255), with modelled exposure in all centres except Reykjavik. Modelled NOX had the highest correlations between self-reported and modelled traffic exposure in five of seven centres, traffic noise exposure had the highest correlation with traffic proximity in tertiles in three centres. Self-reported exposure to high traffic intensity and traffic noise at each participant's residence had low or weak although statistically significant correlations with modelled vehicle exhaust pollution levels and traffic proximity. © 2017
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10. |
- Gustafsson, Malin, et al.
(author)
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Quantification of population exposure to NO2, PM2.5 and PM10 and estimated health impacts
- 2018
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Reports (other academic/artistic)abstract
- In this study population exposure to annual mean concentrations of NO2, PM10 and PM2.5 in ambient air has been quantified, and the health and associated economic consequences have been calculated based on these results. To allow application of known exposure-response functions for assessment of health effects this study exclusively focus on regional and urban background concentrations. Nearly the entire Swedish population was exposed to concentrations below the environmental standards, and 97 %, 78 % and 77 % was exposed to concentrations below the respective specifications of the environmental objective for NO2, PM10 and PM2.5. The highest concentrations of NO2 and PM were found in the most polluted central parts of our largest cities.Excess mortality was used as the main health indicator. The total number of excess deaths due to air pollution exposure was estimated to be 7600 in 2015. Of these, we estimated that approximately 3600 deaths per year were associated with exposure to regional background, 900 from local wood burning, 215 due to road dust and approximately 2850 deaths per year from vehicle exhaust.Based on these results the health impacts from exposure to NO2 and PM2.5 were conservatively estimated to cause socio-economic costs of ~56 billion Krona in 2015. Just absence from work and studies was estimated to cause socio-economic costs of ~0.4% of GDP in Sweden.
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