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Participatory quantitative health impact assessment of urban and transport planning in cities: A review and research needs.

TL;DR: An overview of the current state of the art of HIA in cities is provided, the need for novel participatory quantitative health impact assessments (HIA) is described, and recommendations for further work are provided.
Abstract: Introduction Urban and transport planning have large impacts on public health, but these are generally not explicitly considered and/or quantified, partly because there are no comprehensive models, methods and tools readily available. Air pollution, noise, temperature, green space, motor vehicle crashes and physical activity are important pathways linking urban and transport planning and public health. For policy decision-making, it is important to understand and be able to quantify the full-chain from source through pathways to health effects and impacts to substantiate and effectively target actions. In this paper, we aim to provide an overview of recent studies on the health impacts related to urban and transport planning in cities, describe the need for novel participatory quantitative health impact assessments (HIA) and provide recommendations. Method To devise our searches and narrative, we were guided by a recent conceptual framework linking urban and transport planning, environmental exposures, behaviour and health. We searched PubMed, Web of Science, Science Direct, and references from relevant articles in English language from January 1, 1980, to November 1, 2016, using pre-defined search terms. Results The number of HIA studies is increasing rapidly, but there is lack of participatory integrated and full-chain HIA models, methods and tools. These should be based on the use of a systemic multidisciplinary/multisectorial approach and state-of-the-art methods to address questions such as what are the best, most feasible and needed urban and transport planning policy measures to improve public health in cities? Active citizen support and new forms of communication between experts and citizens and the involvement of all major stakeholders are crucial to find and successfully implement health promoting policy measures. Conclusion We provided an overview of the current state-of-the art of HIA in cities and made recommendations for further work. The process on how to get there is as important and will provide answers to many crucial questions on e.g. how different disciplines can effectively work together, how to incorporate citizen and stakeholder opinion into quantitative HIA modelling for urban and transport planning, how different modelling and measurement methods can be effectively integrated, and whether a public health approach can bring about positive changes in urban and transport planning.

Summary (4 min read)

Introduction

  • Within and between cities, there is considerable variation in the levels of important environmental exposures such as air pollution, noise, temperature and green space, and in physical activity and motor vehicle crashes, partly due to urban and transport planning practices (Nieuwenhuijsen 2016).
  • Furthermore, they also need to build an effective dialogue with the population that produces environmental stressors and is impacted at the same time, ensuring in this way public awareness and acceptance, as some measures can be restrictive in nature and therefore be politically unpopular (e.g. vehicle restricted areas and congestion charging zones).
  • Health Impact Assessment (HIA) has been proposed as one of the main tools to integrate evidence in the decision-making process, and introduce health in all policies (WHO, 1999; Stahl et al, 2006; NAS, 2011).

Methods

  • To devise their searches and narrative, the authors were guided by a conceptual framework linking urban and transport planning, environmental exposures, behaviour and health .
  • Transport mode choice is associated with a range of environmental exposures such as air pollution and noise, which in turn are associated with morbidity and mortality.
  • Finally, green space provision may lead to e.g. improved mental health and more physical activity and social contacts and therefore reduce morbidity and mortality.
  • The authors do not systematically report the results, but focus on studies, systematic reviews, and meta-analyses published in the past five years (i.e. 2012 to 2016); to provide the latest and most up to date information.
  • The authors furthermore searched Google for any other material related to “health impact assessment” and “urban and transport planning”.

Quantitative Health Impact Assessment

  • The most common HIAs are qualitative, aiming only to identify the range of the health determinants associated with a policy, intervention or scenario, and the direction of its impacts (risk or benefit).
  • This, in part, is perhaps a reflection of a communication gap between the sectors where non-academic stakeholders lack the tools, knowledge and interest to carry out a quantitative HIA whilst academics/researchers lack the expertise and understandings as to what extent scenarios are plausible, realizable and acceptable to local authorities or policy makers.
  • A recent study for Warsaw estimated more than 40,000 DALYs attributable to air pollution, noise and traffic injuries, with traffic noise contributing the largest (Tainio, 2015).
  • Woodcock et al (2009) estimated the health effects of alternative urban land transport scenarios for two settings-London, UK, and Delhi, India and found that a combination of active travel and lower-emission motor vehicles would give the largest benefits (7439 DALYs in London, 12 995 in Delhi).
  • Some of the main problems conducting quantitative HIAs on a city level are the lack of availability of baseline data for some of the exposures and health outcomes, the implied need to make assumptions of these parameters and how to deal with uncertainty.

Full-Chain Exposure Assessment

  • Exposure assessment, which provides input into HIA is often considered as the weakest part in the HIA chain, particularly if it does not fully incorporate the full characteristics of the exposure, including its sources, pathways and variations.
  • Traffic indicators such as distance to roads, surrounding road length, traffic density, and urban indicators such as household density, industry and natural outdoor environments including green space explain a large proportion of the variability of air pollution levels within urban areas (Eeftens et al 2012a, Beelen et al 2013).
  • They depend e.g. on human activity, population density, green vegetation, urban design and albedo effects (Zhang et al 2013, Gago et al 2013, Petralli et al 2014).
  • In the case of air pollution exposures, the common lack of full-chain assessment limits disentangling the health impacts of traffic-related air pollution (TRAP) from the health impacts of other emission sources, and vice versa (Khreis et al. 2016 b).
  • Often, such assessments can be problematic as the referred to models are data and labor intensive and require expertise from different scientific disciplines.

Citizen and Other Stakeholder Involvement.

  • Changes in city urban and transport planning are difficult to achieve and sustain without direct support of politicians, decision makers, and citizens.
  • Secondly, participation allows to increase public acceptability of decisions and to build stronger consensus, reduce conflicts and produce shared projects and visions (van de Kerkhof, 2006; Innes & Booher, 2004).
  • These other forms of knowledge can support the evidence built with quantitative measurements with nuanced qualitative inputs and local knowledge on political and social circumstances (Linzalone et al. 2016) and to formulating more sustainable recommendations contributing to raised awareness of health impacts, increasing effectiveness and applicability of the outcomes.
  • The literature reports only a few studies in which stakeholders have been consulted during HIA (e.g. Kearney 2004, Greig et al.
  • In HIA, citizens and stakeholder participation should occur in the selection of the scenarios, identification of health effects and vulnerable populations, selection and periodization of recommendations; identifying the best channels of dissemination and monitoring and evaluation (Table 1).

In summary

  • They also need to build this in dialogue with the public and other stakeholders, creating an environment of collaboration and feedback and guaranteeing public acceptance of proposed policy measures.
  • The lack of public awareness has been previously suggested to reinforce the lack of political commitment and initiative to address these problems (Khreis et al. 2016 a).
  • A full-chain approach also allows decision makers to target their actions at different stages in the chain so they can make cost effective decisions at each stage.

Quantitative and qualitative approaches

  • Currently there is no overarching HIA model for cities that can deal with multiple exposures and complexities, data limitations, location-specific effects, errors etc., and the authors must work with separate quantitative and qualitative models/modules which from one perspective may be considered as an advantage to reduce the complexity and burden of this work.
  • Quantitative HIAs are unlikely to be conducted for small projects, where generally little funding is available, although if models are previously set-up and exposures are readily available for the area, then undertaking the assessment would be feasible.
  • They also would object to large changes when they have not been involved in decision making (e.g. Barcelona SuperIlles).
  • A participatory, quantitative HIA ensures that no aspect is forgotten, that the process is inclusive and comprehensive and that a consensus can be reached at the end by weighing the estimated risks against the benefits.
  • The way these studies have been performed also shows how multidisciplinary teams of academics, both from qualitative and quantitative backgrounds, would can take the process through all its phases.

Challenges

  • One challenge for HIA is getting good input data for e.g. exposure, exposure-response relationships and health outcomes, and this type of high quality data may not be always available.
  • The participation of different stakeholders, approached with a variety of methods and participatory tools, is crucial for the identification of specific and high quality data.
  • Quantitative HIA can highlight these limitations and also be combined with qualitative HIA, so to generate recommendations able to involve and inform the stakeholders in a broader dimension.
  • A further challenge is now to make models accessible, so that they can be used outside the research community by practitioners and policy makers.
  • Simplification without losing the essence may be the answer and this is for example the approach in the PASTA project.

Further research needs

  • So far scenarios have tended to be fairly simplistic, partly to enable the modelling but the reality is more complex and there are limitations to what can be achieved.
  • Many of the current models focus only on a few exposures e.g. air pollution, physical activity or road safety (Mueller et al 2015), or start with a given exposure level (Mueller et al 2016) without trying to identify the sources and pathways (i.e. full-chain).
  • There is a large and still growing evidence base that needs to be reviewed, synthesized and implemented in a model/tool that can be used extensively by relevant stakeholders.
  • Better governance is needed to introduce health in all polices, and multisectoral approaches and the integration of multiple levels of government (local, regional and national) to effectively implement the evidence in the decision making process.

Uncertainty

  • Uncertainty may occur when conceptualising the problem, during analysis and/or while communicating the results (Briggs et al 2009).
  • Therefore, more participatory approaches to investigation, and more qualitative measures of uncertainty, are needed, not only to define uncertainty more inclusively and completely, but also to help those involved better understand the nature of the uncertainties and their practical implications (Briggs et al 2009).
  • These results were the basis for transport policy making in the area including for example buses replacement with low emission ones (https://www.bradford.gov.uk/media/1384/reportofthelezfeasibilitystudy.pdf ).
  • Often, there is a disconnect between researchers who understand the value of the quantitative HIA process and practitioners who feel they lack the time and/or expertise to conduct a quantitative HIA, and rely more on qualitative approaches.
  • HIA professionals should also be trained and able to work in multidisciplinary teams.

Low and medium income countries

  • Finally, most of the work so far has been done in high income countries.
  • There is a need for this type of work outside high income countries, where urbanization rates are the highest, where there is the greatest burden of disease related to noncommunicable diseases and where many cities are in the process of being shaped leaving room for timely interventions.
  • Yet, at the same time low and medium income regions and countries have a real opportunity ahead, to improve and consider public health in the urban and transport development, avoiding the mistakes made by developed countries.

Conclusions

  • There is a need to improve healthy life through healthy urban and transport planning.
  • Identification of relevant health effects and populations affected including stakeholders and citizen perspectives.
  • Introduce integrated, full-chain and complex system approach.
  • Introduce the stakeholder and citizen perspective in the evaluation of the process, based on an iterative process to strength the citizens and stakeholder capacities.
  • G) Develop citizen science approaches in public health.

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Citations
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01 Jan 2012
TL;DR: The ESCAPE study as discussed by the authors investigated the relationship between long-term exposure to outdoor air pollution and health using cohort studies across Europe, and found substantial variability was found in spatial patterns of PM 2.5, PM2.5 absorbance, PM 10 and PM coarse.
Abstract: Abstract The ESCAPE study (European Study of Cohorts for Air Pollution Effects) investigates relationships between long-term exposure to outdoor air pollution and health using cohort studies across Europe. This paper analyses the spatial variation of PM 2.5 , PM 2.5 absorbance, PM 10 and PM coarse concentrations between and within 20 study areas across Europe. We measured NO 2 , NO x , PM 2.5 , PM 2.5 absorbance and PM 10 between October 2008 and April 2011 using standardized methods. PM coarse was determined as the difference between PM 10 and PM 2.5 . In each of the twenty study areas, we selected twenty PM monitoring sites to represent the variability in important air quality predictors, including population density, traffic intensity and altitude. Each site was monitored over three 14-day periods spread over a year, using Harvard impactors. Results for each site were averaged after correcting for temporal variation using data obtained from a reference site, which was operated year-round. Substantial concentration differences were observed between and within study areas. Concentrations for all components were higher in Southern Europe than in Western and Northern Europe, but the pattern differed per component with the highest average PM 2.5 concentrations found in Turin and the highest PM coarse in Heraklion. Street/urban background concentration ratios for PM coarse (mean ratio 1.42) were as large as for PM 2.5 absorbance (mean ratio 1.38) and higher than those for PM 2.5 (1.14) and PM 10 (1.23), documenting the importance of non-tailpipe emissions. Correlations between components varied between areas, but were generally high between NO 2 and PM 2.5 absorbance (average R 2 = 0.80). Correlations between PM 2.5 and PM coarse were lower (average R 2 = 0.39). Despite high correlations, concentration ratios between components varied, e.g. the NO 2 /PM 2.5 ratio varied between 0.67 and 3.06. In conclusion, substantial variability was found in spatial patterns of PM 2.5 , PM 2.5 absorbance, PM 10 and PM coarse . The highly standardized measurement of particle concentrations across Europe will contribute to a consistent assessment of health effects across Europe.

334 citations

Journal ArticleDOI
TL;DR: Evidence of an inverse association between surrounding greenness and all-cause mortality is found, and interventions to increase and manage green spaces should therefore be considered as a strategic public health intervention.
Abstract: Summary Background Green spaces have been proposed to be a health determinant, improving health and wellbeing through different mechanisms. We aimed to systematically review the epidemiological evidence from longitudinal studies that have investigated green spaces and their association with all-cause mortality. We aimed to evaluate this evidence with a meta-analysis, to determine exposure-response functions for future quantitative health impact assessments. Methods We did a systematic review and meta-analysis of cohort studies on green spaces and all-cause mortality. We searched for studies published and indexed in MEDLINE before Aug 20, 2019, which we complemented with an additional search of cited literature. We included studies if their design was longitudinal; the exposure of interest was measured green space; the endpoint of interest was all-cause mortality; they provided a risk estimate (ie, a hazard ratio [HR]) and the corresponding 95% CI for the association between green space exposure and all-cause mortality; and they used normalised difference vegetation index (NDVI) as their green space exposure definition. Two investigators (DR-R and DP-L) independently screened the full-text articles for inclusion. We used a random-effects model to obtain pooled HRs. This study is registered with PROSPERO, CRD42018090315. Findings We identified 9298 studies in MEDLINE and 13 studies that were reported in the literature but not indexed in MEDLINE, of which 9234 (99%) studies were excluded after screening the titles and abstracts and 68 (88%) of 77 remaining studies were excluded after assessment of the full texts. We included nine (12%) studies in our quantitative evaluation, which comprised 8 324 652 individuals from seven countries. Seven (78%) of the nine studies found a significant inverse relationship between an increase in surrounding greenness per 0·1 NDVI in a buffer zone of 500 m or less and the risk of all-cause mortality, but two studies found no association. The pooled HR for all-cause mortality per increment of 0·1 NDVI within a buffer of 500 m or less of a participant's residence was 0·96 (95% CI 0·94–0·97; I2, 95%). Interpretation We found evidence of an inverse association between surrounding greenness and all-cause mortality. Interventions to increase and manage green spaces should therefore be considered as a strategic public health intervention. Funding World Health Organization.

262 citations

28 Aug 2014
TL;DR: With current methods and data, environmental burden of disease estimates support meaningful policy evaluation and resource allocation, including identification of susceptible groups and targets for efficient exposure reduction.
Abstract: Background: Environmental health effects vary considerably with regard to their severity, type of disease, and duration. Integrated measures of population health, such as environmental burden of disease (EBD), are useful for setting priorities in environmental health policies and research. This review is a summary of the full Environmental Burden of Disease in European countries (EBoDE) project report. Objectives: The EBoDE project was set up to provide assessments for nine environmental risk factors relevant in selected European countries (Belgium, Finland, France, Germany, Italy, and the Netherlands). Methods: Disability-adjusted life years (DALYs) were estimated for benzene, dioxins, secondhand smoke, formaldehyde, lead, traffic noise, ozone, particulate matter (PM2.5), and radon, using primarily World Health Organization data on burden of disease, (inter)national exposure data, and epidemiological or toxicological risk estimates. Results are presented here without discounting or age-weighting. Results: About 3–7% of the annual burden of disease in the participating countries is associated with the included environmental risk factors. Airborne particulate matter (diameter ≤ 2.5 μm; PM2.5) is the leading risk factor associated with 6,000–10,000 DALYs/year and 1 million people. Secondhand smoke, traffic noise (including road, rail, and air traffic noise), and radon had overlapping estimate ranges (600–1,200 DALYs/million people). Some of the EBD estimates, especially for dioxins and formaldehyde, contain substantial uncertainties that could be only partly quantified. However, overall ranking of the estimates seems relatively robust. Conclusions: With current methods and data, environmental burden of disease estimates support meaningful policy evaluation and resource allocation, including identification of susceptible groups and targets for efficient exposure reduction. International exposure monitoring standards would enhance data quality and improve comparability. Citation: Hänninen O, Knol AB, Jantunen M, Lim TA, Conrad A, Rappolder M, Carrer P, Fanetti AC, Kim R, Buekers J, Torfs R, Iavarone I, Classen T, Hornberg C, Mekel OC, EBoDE Working Group. 2014. Environmental burden of disease in Europe: assessing nine risk factors in six countries. Environ Health Perspect 122:439–446; http://dx.doi.org/10.1289/ehp.1206154

215 citations

Journal ArticleDOI
TL;DR: In this paper, a quantitative health impact assessment for the year 2015 to estimate the effect of air pollution exposure (PM2·5 and NO2) on natural-cause mortality for adult residents (aged ≥20 years) in 969 cities and 47 greater cities in Europe.
Abstract: Summary Background Ambient air pollution is a major environmental cause of morbidity and mortality worldwide. Cities are generally hotspots for air pollution and disease. However, the exact extent of the health effects of air pollution at the city level is still largely unknown. We aimed to estimate the proportion of annual preventable deaths due to air pollution in almost 1000 cities in Europe. Methods We did a quantitative health impact assessment for the year 2015 to estimate the effect of air pollution exposure (PM2·5 and NO2) on natural-cause mortality for adult residents (aged ≥20 years) in 969 cities and 47 greater cities in Europe. We retrieved the cities and greater cities from the Urban Audit 2018 dataset and did the analysis at a 250 m grid cell level for 2015 data based on the global human settlement layer residential population. We estimated the annual premature mortality burden preventable if the WHO recommended values (ie, 10 μg/m3 for PM2·5 and 40 μg/m3 for NO2) were achieved and if air pollution concentrations were reduced to the lowest values measured in 2015 in European cities (ie, 3·7 μg/m3 for PM2·5 and 3·5 μg/m3 for NO2). We clustered and ranked the cities on the basis of population and age-standardised mortality burden associated with air pollution exposure. In addition, we did several uncertainty and sensitivity analyses to test the robustness of our estimates. Findings Compliance with WHO air pollution guidelines could prevent 51 213 (95% CI 34 036–68 682) deaths per year for PM2·5 exposure and 900 (0–2476) deaths per year for NO2 exposure. The reduction of air pollution to the lowest measured concentrations could prevent 124 729 (83 332–166 535) deaths per year for PM2·5 exposure and 79 435 (0–215 165) deaths per year for NO2 exposure. A great variability in the preventable mortality burden was observed by city, ranging from 0 to 202 deaths per 100 000 population for PM2·5 and from 0 to 73 deaths for NO2 per 100 000 population when the lowest measured concentrations were considered. The highest PM2·5 mortality burden was estimated for cities in the Po Valley (northern Italy), Poland, and Czech Republic. The highest NO2 mortality burden was estimated for large cities and capital cities in western and southern Europe. Sensitivity analyses showed that the results were particularly sensitive to the choice of the exposure response function, but less so to the choice of baseline mortality values and exposure assessment method. Interpretation A considerable proportion of premature deaths in European cities could be avoided annually by lowering air pollution concentrations, particularly below WHO guidelines. The mortality burden varied considerably between European cities, indicating where policy actions are more urgently needed to reduce air pollution and achieve sustainable, liveable, and healthy communities. Current guidelines should be revised and air pollution concentrations should be reduced further to achieve greater protection of health in cities. Funding Spanish Ministry of Science and Innovation, Internal ISGlobal fund.

195 citations

References
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Journal ArticleDOI
TL;DR: Beskriver ulike grader av brukermedvirkning, og regnes som en klassiker innenfor temaet Brukermedveirkning og psykisk helsearbeid as discussed by the authors.
Abstract: Beskriver ulike grader av brukermedvirkning, og regnes som en klassiker innenfor temaet brukermedvirkning og psykisk helsearbeid.

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Additional excerpts

  • ...Despite these challenges, it is important for these channels to be maintained if aiming at a true form of participation, beyond tokenism (Arnstein 1969)....

    [...]

Journal ArticleDOI
TL;DR: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) as discussed by the authors provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution.
Abstract: The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian meta-regression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Bill & Melinda Gates Foundation.

5,668 citations

Journal ArticleDOI
TL;DR: In this paper, the authors explore the social dimension that enables adaptive ecosystem-based management, focusing on experiences of adaptive governance of social-ecological systems during periods of abrupt change and investigates social sources of renewal and reorganization.
Abstract: ▪ Abstract We explore the social dimension that enables adaptive ecosystem-based management. The review concentrates on experiences of adaptive governance of social-ecological systems during periods of abrupt change (crisis) and investigates social sources of renewal and reorganization. Such governance connects individuals, organizations, agencies, and institutions at multiple organizational levels. Key persons provide leadership, trust, vision, meaning, and they help transform management organizations toward a learning environment. Adaptive governance systems often self-organize as social networks with teams and actor groups that draw on various knowledge systems and experiences for the development of a common understanding and policies. The emergence of “bridging organizations” seem to lower the costs of collaboration and conflict resolution, and enabling legislation and governmental policies can support self-organization while framing creativity for adaptive comanagement efforts. A resilient social-eco...

4,495 citations


Additional excerpts

  • ...Insights from a more holistic approach to governance, in line with what has been called an ‘adaptive co-management’ (Folke et al. 2005; Reed 2006) in the resilience literature, can be a starting point also for effective participatory HIA....

    [...]

01 Jan 2016
TL;DR: The comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study 2015 was used to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational risks or clusters of risks from 1990 to 2015.
Abstract: BACKGROUND The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. METHODS We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). FINDINGS Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6-58·8) of global deaths and 41·2% (39·8-42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. INTERPRETATION Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. FUNDING Bill & Melinda Gates Foundation.

3,920 citations


Additional excerpts

  • ...Physical activity has many health benefits (Woodcock et al 2011), Approximately 3-4 million deaths each year are attributable to ambient air pollution and 2.1 million deaths to insufficient physical activity (Forouzanfar et al. 2015)....

    [...]

  • ...Estimates of the Global Burden of Disease (GBD), the largest BOD study to date, have been produced at national or regional levels (Forouzanfar et al. 2015)....

    [...]

  • ...In these estimates, physical inactivity and ambient air pollution were estimated to cause more than five million global premature deaths each year, ranking them among the leading risk factors in the global burden of disease study (Forouzanfar et al. 2015)....

    [...]

Journal ArticleDOI
17 Sep 2015-Nature
TL;DR: It is found that emissions from residential energy use such as heating and cooking, prevalent in India and China, have the largest impact on premature mortality globally, being even more dominant if carbonaceous particles are assumed to be most toxic.
Abstract: Assessment of the global burden of disease is based on epidemiological cohort studies that connect premature mortality to a wide range of causes, including the long-term health impacts of ozone and fine particulate matter with a diameter smaller than 2.5 micrometres (PM2.5). It has proved difficult to quantify premature mortality related to air pollution, notably in regions where air quality is not monitored, and also because the toxicity of particles from various sources may vary. Here we use a global atmospheric chemistry model to investigate the link between premature mortality and seven emission source categories in urban and rural environments. In accord with the global burden of disease for 2010 (ref. 5), we calculate that outdoor air pollution, mostly by PM2.5, leads to 3.3 (95 per cent confidence interval 1.61-4.81) million premature deaths per year worldwide, predominantly in Asia. We primarily assume that all particles are equally toxic, but also include a sensitivity study that accounts for differential toxicity. We find that emissions from residential energy use such as heating and cooking, prevalent in India and China, have the largest impact on premature mortality globally, being even more dominant if carbonaceous particles are assumed to be most toxic. Whereas in much of the USA and in a few other countries emissions from traffic and power generation are important, in eastern USA, Europe, Russia and East Asia agricultural emissions make the largest relative contribution to PM2.5, with the estimate of overall health impact depending on assumptions regarding particle toxicity. Model projections based on a business-as-usual emission scenario indicate that the contribution of outdoor air pollution to premature mortality could double by 2050.

3,848 citations


Additional excerpts

  • ...In another exercise, Lelieveld et al. (2015), estimated that land traffic emissions, on a country level, may be responsible for about one-fifth of the mortality attributable to ambient PM2....

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Frequently Asked Questions (2)
Q1. What have the authors contributed in "Participatory quantitative health impact assessment of urban and transport planning in cities: a review and research needs" ?

Nieuwenhuijsen et al. this paper showed that 20 % of premature mortality in a city like Barcelona is related to urban and transport planning related exposures, including air pollution, noise, temperature, green space, and physical activity, not meeting international exposure level guidelines. 

An important component of further research is the improvement or further development of conceptual frameworks for urban and transport planning, environmental exposures, behaviour and health bringing in aspects of the full-chain of events and considering multiple exposures and complexities, interdependencies and uncertainties of the real world ( Briggs 2008, de Nazelle et al 2011, MacMillan et al 2014, Nieuwenhuijsen 2016, Giles Corti et al 2016, Verbeek and Boelens 2016 ). A further research need is how to have citizens participate in the process and get to grips with the complexities that may occur especially when aiming to develop quantitative models. Further work is also needed on the assessment of governance structure in cities and to obtain political input on urban and transport planning effects on population health, acceptability, facilitators and impediments to any recommended interventions. These frameworks may go well beyond what actually can be quantitatively modelled, at the time being, but at least allow for assessment of model uncertainty and potential bias recognizing aspects that have not previously been taken into account. 

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What are the current research needs in the field of health impact assessment?

The current research needs in the field of health impact assessment include the development of participatory integrated and full-chain models, methods, and tools.