Public views on the links between air pollution and health in Northeast England

Assessment of air pollution and air quality perception mismatch using mobility-based real-time exposure

Air pollution poses a threat to human health. Public perceptions of air pollution are important for individual self-protection and policy-making. Given the uncertainty faced by residence-based exposure (RB) measurements, this study measures individuals' real-time mobility-based (MB) exposures and perceptions of air pollution by considering people's daily movement. It explores how contextual uncertainties may influence the disparities in perceived air quality by taking into account RB and MB environmental factors. In addition, we explore factors that are related to the mismatch between people's perceived air quality and actual air pollution exposure. Using K-means clustering to divide the PM2.5 values into two groups, a mismatch happens when the perceived air quality is poor but the air pollution level is lower than 15.536μg/m3 and when the perceived air quality is good but the air pollution level is higher than 15.608μg/m3. The results show that there is a mismatch between air pollution exposure and perception of air pollution. People with low income are exposed to higher air pollution. Unemployed people and people with more serious mental health symptoms (e.g., depression) have a higher chance of accurately assessing air pollution (e.g., perceiving air quality as poor when air pollution levels are high). Older people and those with a higher MB open space density tend to underestimate air pollution. Students tend to perceive air quality as good. People who are surrounded by higher MB transportation land-use density and green space density tend to perceive air quality as poor. The results can help policymakers to increase public awareness of high air pollution areas, and consider the health effects of landscapes during planning.

Wind turbines as new smokestacks: Preserving ruralness and restrictive land-use ordinances across U.S. counties

Renewable energy (RE) facilities provide a global public good of climate mitigation but impose local costs such as landscape disruption and harming the rural character. Because of their land-intensive nature, utility-scale RE facilities tend to be located in rural areas with plentiful and cheap land. In the U.S., about every fourth county (729 of 3,143) has enacted ordinances restricting the siting of RE facilities. Drawing on a novel dataset of county-level restrictions on wind and solar RE facilities for the period 201o-2022, we explore whether, all else equal, levels of ruralness motivate the onset of such restrictions. As the policy literature on problem visibility suggests, we find support for this hypothesis for wind energy facilities only, probably because wind turbines due to their height tend to disrupt the rural landscape and are visible from long distances. We also find that counties are more likely to adopt restrictions for both wind and solar when adjacent counties have enacted them, thereby suggesting a contagion effect in the onset of restrictions. Contrary to the prevalent view on partisanship in climate policy, liberal counties are likely to restrict wind facilities. Our paper points to important sociological and quality-of-life factors that might be impeding the clean energy transition.

Knowledge, attitudes, and perception of air pollution in Ireland

Aim

Air pollution remains a major global public health challenge; and Ireland is no exception to the human health implications of exposure ambient air pollutants. Accurate and timely information can be critical to mitigate the harmful effects of air pollution. This study aimed to assess the knowledge, perceptions, and attitudes to poor air quality in Ireland to assist stakeholders in developing and implementing effective communication pieces and policies about the management of air pollution.

Study design

Cross-sectional population-based cohort.

Method

Quantitative data on knowledge, attitudes, and perceptions (KAP) were collected from respondents living across Ireland, and the results were analysed with SPSS (Version 28.0).

Results

Among the 1005 respondents included in this study, the mean [SD] age was 46.1 [15.3] years; 53% were female (n = 530); and 66% and 35% of respondents were aware of air pollution and its adverse effects on health at a national and local level respectively (n = 668 and n = 353 respectively). In addition, there were significant relationships between socio-demographic and air pollution awareness. There were correlation between respondent's age, gender, socio-economic group, and locality in Ireland.

Conclusion

This study demonstrates that environmental health literacy around air pollution in critically lacking among respondents. Given that air pollution is an increasingly important global priority, opportunities need to create to improve reach and impact of communication of air quality health risk and mitigation measures.

Air Pollution Health Literacy among Active Commuters in Hamilton, Ontario

The promotion of active transportation (AT), which has been broadly defined as a physical effort performed by the traveller to produce motion, has been a popular strategy to reduce vehicular emissions, improve air quality, and promote physical activity. However, individuals who engage in AT may incur increased exposure to air pollutants and thus potential health impacts. This research sought to determine how active commuters understand the health risks associated with air pollution during their commutes, and whether they engage in any behaviours to limit exposure. An online survey was adapted from the Environmental Health Literacy framework to assess air pollution health literacy among active commuters in Hamilton, ON, and generated a sample size of 192 AT users. Analyses involved the use of frequency tables and cross-tabulations for the quantitative data, and the Health Belief Model and thematic analysis to interpret the qualitative data. Results revealed that most AT users do not adopt behaviours that would limit air pollution exposure on commutes and exhibited low self-rated knowledge of the health impacts of air pollution exposure. Issues of perceived susceptibility and severity, barriers, cues to action, and self-efficacy all further impacted the likelihood of adopting health protective behaviours. Conclusively, air pollution is an often-neglected consideration among active commuters, with air pollution knowledge predicting the likelihood of behavioural modification.

Air quality change and public perception during the COVID-19 lockdown in India

This study aims at analyzing the change in air quality following the COVID-19 lockdown in India and its perception by the general public. Air quality data for 100 days recorded at 193 stations throughout India were analyzed between 25th March to 17th May 2020. A nationwide online survey was conducted to obtain public perceptions of air quality improvement (n = 1750). On average, approximately 40% improvement in the air quality index was observed, contributed by a reduction in 40% of PM₁₀, 44% of PM_2.5, 51% of NO₂ and 21% of SO₂. There was a significant difference between the levels of all the pollutants before and after the lockdown (p < 0.05), except ozone. The correlation between PM₁₀ and PM_2.5 with ozone was significant after the lockdown period, indicating that a significant portion of the particulates present in the atmosphere after the lockdown period is secondary. The values of PM_2.5/PM₁₀ were found to be >0.5 in North East states and this observation points to the long-distance transport of PM_2.5 from other places. The survey for public perception showed that 60% of the respondents perceived improvement in air quality. Household emissions were perceived to be a significant source of pollution after the lockdown. An odds ratio (OR) of 17 (95%, CI: 6.42, 47.04) indicated a very high dependence of perception on actual air quality. OR between air quality and health improvement was 5.2 (95%, CI: 2.69, 10.01), indicating significant health improvement due to air quality improvement. Google Trends analysis showed that media did not influence shaping the perception. There was a significant improvement in the actual and perceived air quality in India after the COVID-19-induced lockdown. PM₁₀ levels had the most decisive influence in shaping public perception.

When narratives speak louder than numbers: the effects of narrative persuasion across the stages of behavioural change to reduce air pollution

Is narrative persuasion effective when promoting new behaviours in favour of the environment? Does this effectiveness vary depending on whether individuals are already thinking about changing? This paper has two main objectives: (1) to explore how individuals at different stages of the behavioural change process perceive air pollution, focussing on the perceived psychological distance of its environmental risks (Study 1); and (2) to test whether the effects of presenting the risks of air pollution in a narrative vs. statistical format on pro-environmental intentions vary depending on the individuals' stage of behavioural change (Study 2). Study 1 (N = 263) is based on a survey measuring individuals' perceived psychological distance of the environmental risks of air pollution, and the perceived effectiveness of different pro-environmental behaviours. Results suggest that perceived distance and perceived effectiveness vary across different stages of behavioural change. Study 2 (N = 258) presents a 2(Format: narrative vs. statistical) × 3(Stages of change) protocol, testing the effectiveness of a narrative format depending on individuals' stage of behavioural change. Results suggest that proximising a threat through a narrative format of communication is more effective especially for individuals in the pre-action stage of change. We also present a moderated mediation model explaining the influence of the interaction between the message format and the stage of behavioural change on behavioural intentions and on efficacy appraisal via narrative engagement. Findings are discussed with regards to the stage model and narrative persuasion.

Citizens' Perception on Air Quality in Portugal-How Concern Motivates Awareness

This study aimed to understand the knowledge of Portuguese citizens about air quality and the extent to which the concerns about specific environmental problems can motivate their acquaintance of information. Moreover, this study also allowed to understand which information about air quality needs further dissemination to provide the citizens with all the available tools and the correct knowledge. For this, a national online survey about air quality perception was conducted, where 1131 answers were obtained and two different populations were compared: the general population and a sub-population from an urban-industrial area of Lisbon metropolitan area that had experienced frequent air pollution events in the past. Air pollution was considered the environmental topic of higher concern among this sub-population (61.4%), while in the general population it ranked thirdly (27.4%). Generally, the sub-population showed higher knowledge about air quality than the general population, with 61% being able to identify at least one air pollutant. The perception of the local air quality was also very different between populations, with 61% of the sub-population considering it poor or very poor, while only 14% of the general population had the same perception, which highlights the different levels of concern between populations. A weak knowledge about air pollutants (50% of the general population could not identify any air pollutant) and an erroneous perception of the contribution of the different pollution sources to air quality levels were found. More than 50% of the respondents of both populations were considered to not have enough information regarding the air quality in their area of residence, with the national air quality database being unknown to almost everyone. Overall, strong efforts should be made to increase the awareness about the importance of air quality, which may promote a higher acceptance of the implementation of future actions to improve air quality.

Validity of self-reported air pollution annoyance to assess long-term exposure to air pollutants in Belgium

In epidemiological studies, assessment of long term exposure to air pollution is often estimated using air pollution measurements at fixed monitoring stations, and interpolated to the residence of survey participants through Geographical Information Systems (GIS). However, obtaining georeferenced address data from national registries requires a long and cumbersome administrative procedure, since this kind of personal data is protected by privacy regulations. This paper aims to assess whether information collected in health interview surveys, including air pollution annoyance, could be used to build prediction models for assessing individual long term exposure to air pollution, removing the need for data on personal residence address. Analyses were carried out based on data from the Belgian Health Interview Survey (BHIS) 2013 linked to GIS-modelled air pollution exposure at the residence place of participants older than 15 years (n = 9347). First, univariate linear regressions were performed to assess the relationship between air pollution annoyance and modelled exposure to each air pollutant. Secondly, a multivariable linear regression was performed for each air pollutant based on a set of variables selected with elastic net cross-validation, including variables related to environmental annoyance, socio-economic and health status of participants. Finally, the performance of the models to classify individuals in three levels of exposure was assessed by means of a confusion matrix. Our results suggest a limited validity of self-reported air pollution annoyance as a direct proxy for air pollution exposure and a weak contribution of environmental annoyance variables in prediction models. Models using variables related to the socio-economic status, region, urban level and environmental annoyance allow to predict individual air pollution exposure with a percentage of error ranging from 8% to 18%. Although these models do not provide very accurate predictions in terms of absolute exposure to air pollution, they do allow to classify individuals in groups of relative exposure levels, ranking participants from low over medium to high air pollution exposure. This model represents a rapid assessment tool to identify groups within the BHIS participants undergoing the highest levels of environmental stress.

Assessment of the environmental perceptions, attitudes, and awareness of city dwellers regarding sustainable urban environmental management: a case study of Dhaka, Bangladesh

Environmental problems are very concerning, particularly in many cities of developing countries, because they obstruct the creation of a sustainable urban environment. Dhaka, Bangladesh was chosen as the research area of this study, as Bangladesh is a developing country with pollution; moreover, the level of residents' environmental perception was assessed, and their environmental attitudes and awareness were examined in relation to their demographic characteristics. A face-to-face questionnaire survey involving 400 respondents was conducted across various zones of the study area. The mean score, standard deviation, and p value of each respondent's answer were calculated separately using a one-way analysis of variance (ANOVA). Then, a grand mean, average standard deviation, and combined p values for environmental perception and attitude themes were computed theme-wise. Descriptive statistics were produced to illustrate the respondents' level of environmental awareness. The study results revealed that the respondents had a moderate to high level of perceived knowledge about the causes and effects of environmental pollution. They also had an intention to reduce the environmental pollution in their surroundings. The score differences (p < .05) across the age groups, education levels, occupation types, and income groups were nearly all significant, except for those pertaining to the gender of the respondents. Surprisingly, only 18% of the respondents were aware of their home's and neighborhood's garbage management procedures. It is urgent to influence citizens' environmental behaviors to ensure the city's long-term sustainability. This study's findings can be used in decision-making processes regarding sustainable urban environments worldwide.

Air pollution perception in ten countries during the COVID-19 pandemic

As largely documented in the literature, the stark restrictions enforced worldwide in 2020 to curb the COVID-19 pandemic also curtailed the production of air pollutants to some extent. This study investigates the perception of the air pollution as assessed by individuals located in ten countries: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the USA. The perceptions towards air quality were evaluated by employing an online survey administered in May 2020. Participants (N = 9394) in the ten countries expressed their opinions according to a Likert-scale response. A reduction in pollutant concentration was clearly perceived, albeit to a different extent, by all populations. The survey participants located in India and Italy perceived the largest drop in the air pollution concentration; conversely, the smallest variation was perceived among Chinese and Norwegian respondents. Among all the demographic indicators considered, only gender proved to be statistically significant.

Stakeholders' Perceptions of Environmental and Public Health Risks Associated with Hydrocarbon Activities in and around the Vasilikos Energy Center, Cyprus

The Vasilikos Energy Center (VEC) is a large hydrocarbon industrial hub actively operating in Cyprus. There is strong public interest by the communities surrounding VEC to engage with all stakeholders towards the sustainable development of hydrocarbon in the region. The methodological framework of the exposome concept would allow for the holistic identification of all relevant environmental exposures by engaging the most relevant stakeholders in industrially contaminated sites. The main objectives of this study were to: (i) evaluate the stakeholders’ perceptions of the environmental and public health risks and recommended actions associated with the VEC hydrocarbon activities, and (ii) assess the stakeholders’ understanding and interest towards exposome-based technologies for use in oil and gas applications. Methods: Six major groups of stakeholders were identified: local authorities, small-medium industries (SMIs) (including multi-national companies), small-medium enterprises (SMEs), academia/professional associations, government, and the general public residing in the communities surrounding the VEC. During 2019–2021, a suite of stakeholder engagement initiatives was deployed, including semi-structured interviews (n = 32), a community survey for the general public (n = 309), technical meetings, and workshops (n = 4). Results from the semi-structured interviews, technical meetings and workshops were analyzed through thematic analysis and results from the community survey were analyzed using descriptive statistics. Results: Almost all stakeholders expressed the need for the implementation of a systematic health monitoring system for the VEC broader area and its surrounding residential communities, including frequent measurements of air pollutant emissions. Moreover, stricter policies by the government about licensing and monitoring of hydrocarbon activities and proper communication to the public and the mass media emerged as important needs. The exposome concept was not practiced by the SMEs, but SMIs showed willingness to use it in the future as part of their research and development activities. Conclusions: The sustainable development of hydrocarbon exploitation and processing prospects for Cyprus involves the VEC. Continuous and active collaboration and mutual feedback among all stakeholders involved with the VEC is essential, as this may allow future environmental and occupational health initiatives to be formalized.

Public perception of air pollution sources across Europe

Air pollution is one of the primary concerns of our society for its effect on human health and the environment. Among the policy measures that can be put in place to limit air pollutant emissions, end-of-pipe technologies and/or regulatory instruments may be implemented through legislative acts. Also, equally important are behavioural measures, requiring citizens' active involvement. The success of any measure to limit pollutant emissions requires the acceptance by the citizens that, in turn, implies a correct perception of the main pollutant emission drivers. We present here the comparison between the public perception of air pollution sources and the real-world situation through a survey carried out in seven European countries and involving 16 101 respondents. Our study shows a dramatic underestimation of the contribution of the agri-food sector to air pollution. This result is common to all respondents in the seven countries examined and only to a small extent depends on gender, age and socio-economic status of the respondents.

Using Social Media Mining and PLS-SEM to Examine the Causal Relationship between Public Environmental Concerns and Adaptation Strategies

With growing scientific evidence showing the harmful impact of air pollution on the environment and individuals’ health in modern societies, public concern about air pollution has become a central focus of the development of air pollution prevention policy. Past research has shown that social media is a useful tool for collecting data about public opinion and conducting analysis of air pollution. In contrast to statistical sampling based on survey approaches, data retrieved from social media can provide direct information about behavior and capture long-term data being generated by the public. However, there is a lack of studies on how to mine social media to gain valuable insights into the public’s pro-environmental behavior. Therefore, research is needed to integrate information retrieved from social media sites into an established theoretical framework on environmental behaviors. Thus, the aim of this paper is to construct a theoretical model by integrating social media mining into a value-belief-norm model of public concerns about air pollution. We propose a hybrid method that integrates text mining, topic modeling, hierarchical cluster analysis, and partial least squares structural equation modelling (PLS-SEM). We retrieved data regarding public concerns about air pollution from social media sites. We classified the topics using hierarchical cluster analysis and interpreted the results in terms of the value-belief-norm theoretical framework, which encompasses egoistic concerns, altruistic concerns, biospheric concerns, and adaptation strategies regarding air pollution. Then, we used PLS-SEM to confirm the causal relationships and the effects of mediation. An empirical study based on the concerns of Taiwanese social media users about air pollution was used to demonstrate the feasibility of the proposed framework in general and to examine gender differences in particular. Based on the results of the empirical studies, we confirmed the robust effects of egoistic, altruistic, and biospheric concerns of public impact on adaptation strategies. Additionally, we found that gender differences can moderate the causal relationship between egoistic concerns, altruistic concerns, and adaptation strategies. These results demonstrate the effectiveness of enhancing perceptions of air pollution and environmental sustainability by the public. The results of the analysis can serve as a basis for environmental policy and environmental education strategies.

Does public concern over haze pollution matter? Evidence from Beijing-Tianjin-Hebei region, China

Chinese residents are becoming more and more concerned about the living environment especially under the situation of environmental degradation caused by the unbalanced and inadequate economic development. The widespread of internet use provide a new way for public to express the dissatisfaction on environmental pollution. Although the public is the main body of society, the public concern over environmental issues are rarely studied. In this paper, the impact of public concern over haze on haze pollution is quantitatively examined by the utilization of econometric model. Specifically, the Baidu search index (BSI) is utilized as indicators for public concern. Using the panel data consisting of 13 cities in Beijing-Tianjin-Hebei region from the period from January 2014 to December 2019, estimation results showed a significant improvement effect of public concern on haze pollution. In general, the public concern can improve the air quality in a short turn. However, this improvement effect varies with different economic development levels. These findings can help policy makers to better understand the role of public in social governance and improve the air quality in China with the inclusion of public participation.

Comparing Outrage Effect on the Risk Perception of Climate Change versus Fine Dust

Public evaluation of risk is influenced by the emotive response to perceived risk characteristics, namely outrage factors. We evaluated which outrage factors contribute to the public perception of two different environmental risks, climate change and fine dust. In particular, the outrage factors of controllability, familiarity, and delayed effect were assessed to determine if they are more salient and influential for climate change than fine dust. A nationwide online survey (N = 1,000) was conducted to measure nine outrage factors and risk perception for both risks in a South Korean population. Although both environmental risks were associated with a similar level of risk perception, catastrophic potential and personal stake were the highest scoring outrage factors for climate change and fine dust, respectively, and were also the strongest influence for the level of each risk perception. Familiarity was more salient for climate change than fine dust, and was influential only for climate change. Delayed effect was more salient for climate change, but was not influential for the perception of both risks. Controllability was more salient for fine dust but had no significant influence on both risk perceptions. Catastrophic potential, dread, personal stake, and trust were common influential outrage factors for both risks. We discuss the significance of an individualistic approach to evaluating outrage effects. In addition, the practical implications of comparing salient and influential outrage factors for both risks were addressed in terms of risk communication.

Change in Public Concern and Responsive Behaviors Toward Air Pollution Under the Dome

This study evaluates the effect of the documentary Under the Dome on the concern and responsive behaviors of the public regarding air pollution in China, with two surveys conducted before and after watching the documentary. Employing difference-in-differences regression, this study answers two research questions: (1) Does Under the Dome change public concern about air pollution? (2) Does Under the Dome change public behaviors in response to air pollution, including protective behaviors (i.e., wearing face masks) and mitigation behaviors (i.e., reducing car driving)? We find that the information campaign (1) protects against the decline of public concern about air pollution in Beijing and (2) moderates the degree to which people's perceived severity, perceived susceptibility, and sense of self-efficacy influence protective behaviors and moderates the degree to which people's belief in the cooperative behaviors by others influences mitigation behaviors. This study provides evidence that information campaigns of the Under the Dome type are effective in raising public awareness; however, the information campaign did not directly influence public protective and mitigation behaviors.

The Grass Is Always Greener on My Side: A Field Experiment Examining the Home Halo Effect

Wood-burning pollution is a severe problem in southern Chile, where every winter, people are exposed to unhealthy ambient fine particulate matter (PM2.5) concentrations. Urban air quality is a major concern for health officials, but public awareness campaigns tend to focus on outdoor hazards. Our understanding of how residents are exposed and perceive air pollution risks in their homes remains incomplete. This study explores the ability of participants to perceive indoor air quality. We collected data on 81 households, combining perceptions of air quality with objective measurements of PM2.5. Residents’ evaluations of air quality were systematically compared to inspectors’ evaluations in order to examine the home halo effect. We found that residents tended to overestimate air quality in their homes. We discuss how our data supported the existence of a home halo effect, but also point out the possibility that individuals’ ability to perceive air quality in indoor spaces is limited by other factors.

Comparative Optimism: Relative Risk Perception and Behavioral Response to Lead Exposure

Despite their true exposure, individuals with Comparative Optimism consider themselves less prone to the adverse health effects of pollution. Since individuals' response to a given environmental risk is affected by their appraisal of the risk, those with Comparative Optimism may be less likely to engage in prescribed behaviors or to do so at the urgency required of the given risk. Such limited or delayed response can amplify the risk instead of reducing it. Thus, there is a need to understand if Comparative Optimism applies to pollutants with irreversible adverse health effects as it would impose a higher burden. There is also a need to know which segments of the population are prone to Comparative Optimism and how it manifests in terms of activities that can enhance exposure. Doing so will allow public health professionals address gaps in risk communication and management efforts and help improve environmental health outcomes. Using survey data, we assess the presence, behavioral and socioeconomic predictors, and implications of Comparative Optimism for communicating and managing lead exposure risk in an urban setting. Our results indicate that a large share of the population has Comparative Optimism for lead exposure, despite living in a city that has a relatively higher lead poisoning burden. We also found that ethnicity, income, length of stay at residence, among others, predict Comparative Optimism, suggesting that Comparative Optimism may predict elevated blood lead level.

Characteristics of public concern on haze in China and its relationship with air quality in urban areas

Severe air pollution associated with the rapid urbanization is a pressing issue in China. Moreover, the public awareness of environmental protection in China is awakening, which poses enormous pressure on governments to enforce environmental regulations. The study of environmental problems from the public perspective plays a crucial role in effective environmental governance. The Baidu search engine is the China's largest search engine. The search index of haze based on Baidu search engine reflects the public concern on air quality in China. The aim of this study is to uncover important relationships between public concern and air quality monitoring data based on the case study of haze pollution crisis in China. The results indicate that: (1) the year 2013 is the turning point of the public concern on air quality in China; (2) according to daily data analysis, the search index of haze has increased progressively with increased PM_2.5 concentration with a time lag of 0-4 days and the lag time has a declining tendency from 2013 to 2017; (3) according to annual data analysis, the public concern showed a weak correlation with air quality and they showed an opposite temporal trend. However, when the long-term annual trend was removed, the strong positive correlation emerges between the fluctuation parts of the search index of haze and monitoring data of air quality. This indicates the public is more sensitive to the short-term fluctuation of air quality. The results of this paper provide statistical evidence on the evolution of public concern on air quality from 2013 to 2017. This study will help policy makers to better understand the patterns of the public's perception of environmental problems and consequently improve the government's capability to deal with these challenges.

A Perspective Analysis of Dams and Water Quality: The Bui Power Project on the Black Volta, Ghana

Large dams play an important role in promoting economic and social development in many countries. However, the construction of such dams can have a detrimental effect on the environment. The aim of this study was to investigate perceptions of drinking water quality among inhabitants of selected communities within the Bui Dam environs. With the help of questionnaires, 100 respondents from communities "near to the dam" were randomly selected and interviewed. Their responses were compared with another 100 respondents selected from "far from the dam" communities. These were augmented with in-depth interviews, focus group discussion, and personal observation. Analysis of the results showed that, there were greater proportions (31%) of the participants who lived in "near communities" within the age category 20-25 compared to 19% of their "far communities" counterparts. There were significantly greater proportions of female respondents in the "near to the dam" (57%) compared to respondents in the "far from the dam" communities (52%). The study further showed that the perception of risk of consuming contaminated drinking water was more common among "far from the dam" communities (odds ratio = 4.57). The perception of the quality of water based on some physical properties was investigated as part of our study. Analysis of the results showed that significantly greater proportion of the "far from the dam" communities (35%) perceived their water had an objectionable smell compared to 7% of inhabitants of their other counterparts (p value = 0.001). The study further showed that significantly greater proportion of the study participants in the far from the communities perceived that their water had colour (65%) and they did not drink water from any other source (63%) apart from their stream. The study demonstrated that generally, inhabitants within the study communities perceived the construction of the Bui Power Project has negatively affected their drinking water quality.

A comparison of individual exposure, perception, and acceptable levels of PM2.5 with air pollution policy objectives in China

Atmospheric pollution has emerged as a major public health issue in China. Public perception and acceptable risk levels of air pollution can prompt individual behavioral changes and play a major role in the public's response to health risks. Therefore, to explore these responses and evaluate what constitutes publicly acceptable concentrations of fine particulate matter (PM_2.5), questionnaire surveys were conducted in three representative cities of China: Beijing, Nanjing, and Guangzhou. Great differences in public risk perception were revealed. Public perception of the health effects of air pollution (Effect) and familiarity with it (Familiarity) were significantly higher in the winter than in the summer, and also during severe haze days compared with typical days. The public perception of trust in the government (Trust) was consistent across all conditions. Exposure to severe haze pollution and experiencing harms from it were key factors influencing public willingness to respond to haze. These results reflected individual exposure levels correlating closely with risk perception and acceptance of PM_2.5. However, a crucial gap exists between public acceptable risk levels (PARL) of air pollution and the policy objectives of the State Council's Action Plan. Thus, policymakers can utilize this study to develop more targeted measures to combat air pollution.

Understanding Public Views about Air Quality and Air Pollution Sources in the San Joaquin Valley, California

The San Joaquin Valley of California has poor air quality and high rates of asthma. Surveys were collected from 744 residents of the San Joaquin Valley from November 2014 to January 2015 to examine the public's views about air quality. The results of this study suggest that participants exposed to high PM_2.5 (particulate matter less than 2.5 microns in size) concentrations perceived air pollution to be of the worst quality. Air quality in the San Joaquin Valley was primarily perceived as either moderate or unhealthy for sensitive groups. Females perceived air pollution to be of worse quality compared to males. Participants perceived unemployment, crime, and obesity to be the top three most serious community problems in the San Joaquin Valley. Participants viewed cars and trucks, windblown dust, and factories as the principle contributors to air pollution in the area. There is a need to continue studying public perceptions of air quality in the San Joaquin Valley with a more robust survey with more participants over several years and seasons.

Combining physiological, environmental and locational sensors for citizen-oriented health applications

This work investigates the potential of combining the outputs of multiple low-cost sensor technologies for the direct measurement of spatio-temporal variations in phenomena that exist at the interface between our bodies and the environment. The example used herein is the measurement of personal exposure to traffic pollution, which may be considered as a function of the concentration of pollutants in the air and the frequency and volume of that air which enters our lungs. The sensor-based approach described in this paper removes the 'traditional' requirements either to model or interpolate pollution levels or to make assumptions about the physiology of an individual. Rather, a wholly empirical analysis into pollution exposure is possible, based upon high-resolution spatio-temporal data drawn from sensors for NO₂, nasal airflow and location (GPS). Data are collected via a custom smartphone application and mapped to give an unprecedented insight into exposure to traffic pollution at the individual level. Whilst the quality of data from low-cost miniaturised sensors is not suitable for all applications, there certainly are many applications for which these data would be well suited, particularly those in the field of citizen science. This paper demonstrates both the potential and limitations of sensor-based approaches and discusses the wider relevance of these technologies for the advancement of citizen science.

Public perception of smog: A case study in Ningbo City, China

Smog has become a public environmental crisis in most areas of China, and in response, research efforts have mainly focused on the chemical properties of smog and its impact on human health. However, in-depth research on the public's perception of smog has not yet been conducted. A survey of residents living around eight state-controlled atmospheric environmental monitoring sites in Ningbo City was conducted using stratified sampling. The data was statistically analyzed to investigate people's views and behavioral tendencies in smog weather, the influence of different media reports on public outlook, and public opinions on the local atmosphere and pollution management in different areas. The results showed that people's perception of smog differs greatly from actual conditions, indicating that the public opinion tends to deviate when faced with a public crisis. Mainstream media (TV, newspaper, etc.), accounting for 67% of all media sources, are the main source for dissemination of smog information. The main sources of pollution, in order of decreasing contribution, according to residents of Ningbo City are as follows: motor vehicle exhaust, industrial coal combustion, large-scale construction, biomass burning, and kitchen fumes.

IMPLICATIONS

Since 2011, most areas of China have been affected by frequent smog. Most research on smog has been concentrated on its causes, alert systems, and prevention measures, whereas in-depth research on the public perception of smog has not yet been conducted. When a risky environmental event such as smog occurs, consequences may be more serious than the event itself will cause if people take irrational measures because of lacking relevant knowledge. Therefore, investigating people's attitude and response to smog is both theoretically and practically significant.

Latino and Non-Latino Perceptions of the Air Quality in California's San Joaquin Valley

The San Joaquin Valley (SJV) of California has poor air quality, high rates of asthma, and high rates of obesity. Informational campaigns aimed at increasing awareness of the health impacts of poor air quality and promoting behavior change need to be tailored to the specific target audiences. The study examined perceptions of air quality, perceived health impacts, and methods of accessing information about air quality between Latinos and other groups in the SJV. Residents of the SJV (n = 744) where surveyed via one of three methods: community organizations (256), public locations (251), and an internet panel (237). The results suggest that people perceive the air quality in their region to be generally unhealthy, particularly for sensitive groups. The air quality is more likely to be reported as being unhealthy by people with health problems and less unhealthy by Latinos and people who report regularly exercising. Latinos are more likely to report working outdoors regularly, but also more likely to report being able to reduce their exposure if the air quality is unhealthy. The results report differences in informational sources about air quality, suggesting that informational campaigns should target high risk groups using a variety of media.

Perception of Air Pollution in the Jinchuan Mining Area, China: A Structural Equation Modeling Approach

Studies on the perception of air pollution in China are very limited. The aim of this paper is to help to fill this gap by analyzing a cross-sectional dataset of 759 residents of the Jinchuan mining area, Gansu Province, China. The estimations suggest that perception of air pollution is two-dimensional. The first dimension is the perceived intensity of air pollution and the second is the perceived hazardousness of the pollutants. Both dimensions are influenced by environmental knowledge. Perceived intensity is furthermore influenced by socio-economic status and proximity to the pollution source; perceived hazardousness is influenced by socio-economic status, family health experience, family size and proximity to the pollution source. There are no reverse effects from perception on environmental knowledge. The main conclusion is that virtually all Jinchuan residents perceive high intensity and hazardousness of air pollution despite the fact that public information on air pollution and its health impacts is classified to a great extent. It is suggested that, to assist the residents to take appropriate preventive action, the local government should develop counseling and educational campaigns and institutionalize disclosure of air quality conditions. These programs should pay special attention to young residents who have limited knowledge of air pollution in the Jinchuan mining area.

Factors Affecting Parent's Perception on Air Quality-From the Individual to the Community Level

The perception of air quality significantly affects the acceptance of the public of the government’s environmental policies. The aim of this research is to explore the relationship between the perception of the air quality of parents and scientific monitoring data and to analyze the factors that affect parents’ perceptions. Scientific data of air quality were obtained from Wuhan’s environmental condition reports. One thousand parents were investigated for their knowledge and perception of air quality. Scientific data show that the air quality of Wuhan follows an improving trend in general, while most participants believed that the air quality of Wuhan has deteriorated, which indicates a significant difference between public perception and reality. On the individual level, respondents with an age of 40 or above (40 or above: OR = 3.252; 95% CI: 1.170–9.040), a higher educational level (college and above: OR = 7.598; 95% CI: 2.244–25.732) or children with poor healthy conditions (poor: OR = 6.864; 95% CI: 2.212–21.302) have much more negative perception of air quality. On the community level, industrial facilities, vehicles and city construction have major effects on parents’ perception of air quality. Our investigation provides baseline information for environmental policy researchers and makers regarding the public’s perception and expectation of air quality and the benefits to the environmental policy completing and enforcing.

[Preliminary analysis of a questionnaire for assessing the social perception of air pollution]

Objective To analyze the psychometric properties and the structural organization of a questionnaire designed to assess the social perception of air pollution and its health risks in the Valle de Aburrá (Colombia), a geographical area where environmental problems associated with air pollution have been identified. Methods A descriptive study was carried out, in which a questionnaire was designed and validated to determine three dimensions of social perception of air pollution: the socio-territorial dimension, the socio-cognitive dimension and the behavioral dimension. Some socio-demographical variables were also included. After the pilot study, the dimensions of the analysis were organized into 12 categories, made up of 111 items with Likert scales of four or five response options. The instrument was applied to a non-random sample of 318 participants, who were residents of Medellin city and Girardota town. Results After exploratory factor analysis (varimax rotation), the questionnaire was reduced to 68 items assessing seven dimensions of social perception of air pollution and its health risks. The total variance explained is 75 %, and the overall Cronbach's alpha reliability was 0.9. Discussion The dimensions found allow us to develop an approach to the structural organization of the social perception of air pollution in the context of study. Although some socio-cognitive and behavioral dimensions were confirmed, the socio-territorial dimension and the personal involvement variable were not configured as structural components and, conceptually, they need to be reworked. Confirmatory structural analysis of the dimensions of the questionnaire is required.

Proximity to busy highways and local resident perceptions of air quality

This study investigated variations in perceptions of air quality as a function of residential proximity to busy highways, across two suburbs of South Auckland, New Zealand. While plenty is known about the spatial gradients of highway emissions, very little is known about variation of lay understanding at the fine spatial scale and whether there are gradients in severity of concerns. One-hundred and four near-highway residents agreed to participate in a semi-structured interview on their knowledge and attitudes towards highway traffic emissions. Proximity to the highway edge varied within 5-380 m at the predominantly downwind side of the highway and 13-483 m at the upwind side. Likert-type ordered response questions were analysed using multivariate regression. Inverse linear relationships were identified for distance from highway and measures of concern for health impacts, as well as for noise (p<0.05). Positive linear relationships were identified for distance from highway and ratings of both outdoor and indoor air quality (p<0.05). Measures of level of income had no conclusive statistically significant effect on perceptions. Additional discussion was made surrounding participant's open-ended responses, within the context of limited international research. Findings indicate that there may be quantifiable psychological benefits of separating residents just a short distance (40 m+) from highways and that living within such close proximity can be detrimental to wellbeing by restricting local outdoor activity. This work lends additional rationale for a residential separation buffer of ~100 m alongside major highways in the interests of protecting human health.

"We are used to this": a qualitative assessment of the perceptions of and attitudes towards air pollution amongst slum residents in Nairobi

Background

People’s perceptions of and attitudes towards pollution are critical for reducing exposure among people and can also influence the response to interventions that are aimed at encouraging behaviour change. This study assessed the perceptions and attitudes of residents in two slums in Nairobi regarding air pollution.

Methods

We conducted focus group discussions with residents aged 18 years and above using an emergent design in the formulation of the study guide. A thematic approach was used in data analysis.

Results

The discussions revealed that the two communities experience air pollution arising mainly from industries and dump sites. There was an apparent disconnect between knowledge and practice, with individuals engaging in practices that placed them at high risk of exposure to air pollution. Residents appear to have rationalized the situation in which they live in and were resigned to these conditions. Consequently, they expressed lack of agency in addressing prevalent air pollution within their communities.

Conclusions

Community-wide education on air pollution and related health effects together with the measures needed to reduce exposure to air pollution are necessary towards reducing air pollution impacts. A similar city-wide study is recommended to enable comparison of perceptions along socio-economic groups and neighbourhoods.

Community perceptions of air pollution and related health risks in Nairobi slums

Air pollution is among the leading global risks for mortality and responsible for increasing risk for chronic diseases. Community perceptions on exposure are critical in determining people's response and acceptance of related policies. Therefore, understanding people' perception is critical in informing the design of appropriate intervention measures. The aim of this paper was to establish levels and associations between perceived pollution and health risk perception among slum residents. A cross-sectional study of 5,317 individuals aged 35+ years was conducted in two slums of Nairobi. Association of perceived score and individual characteristics was assessed using linear regression. Spatial variation in the perceived levels was determined through hot spot analysis using ArcGIS. The average perceived air pollution level was higher among residents in Viwandani compared to those in Korogocho. Perceived air pollution level was positively associated with perceived health risks. The majority of respondents were exposed to air pollution in their place of work with 66% exposed to at least two sources of air pollution. Less than 20% of the respondents in both areas mentioned sources related to indoor pollution. The perceived air pollution level and related health risks in the study community were low among the residents indicating the need for promoting awareness on air pollution sources and related health risks.

Activity change in response to bad air quality, National Health and Nutrition Examination Survey, 2007-2010

Air pollution contributes to poor respiratory and cardiovascular health. Susceptible individuals may be advised to mitigate effects of air pollution through actions such as reducing outdoor physical activity on days with high pollution. Our analysis identifies the extent to which susceptible individuals changed activities due to bad air quality. This cross-sectional study included 10,898 adults from the National Health and Nutrition Examination Survey (NHANES) 2007–2010. Participants reported if they did something differently when air quality was bad. Susceptible categories included respiratory conditions, cardiovascular conditions and older age (≥65 years). Analyses accounted for complex survey design; logistic regression models controlled for gender, race, education, smoking, and body mass index. 1305 individuals reported doing something differently (12.0%, 95% confidence interval (CI): 10.9, 13.1). This percentage was 14.2% (95% CI: 11.6, 16.8), 25.1% (95% CI: 21.7, 28.6), and 15.5% (95% CI: 12.2, 18.9) among older adults, those with a respiratory condition, and those with a cardiovascular condition, respectively. In adjusted regression models the following were significantly more likely to have changed activity compared to those who did not belong to any susceptible group: respiratory conditions (adjusted odds ratio (aOR): 2.61, 95% CI: 2.03, 3.35); respiratory and cardiovascular conditions (aOR: 4.36, 95% CI: 2.47, 7.69); respiratory conditions and older age (aOR: 3.83; 95% CI: 2.47, 5.96); or all three groups (aOR: 3.52; 95% CI: (2.33, 5.32). Having cardiovascular conditions alone was not statistically significant. Some individuals, especially those with a respiratory condition, reported changing activities due to poor air quality. However, efforts should continue to educate the public about air quality and health.

Experience with urban air pollution in Paterson, New Jersey and implications for air pollution communication

Communication about air pollution can help reduce health risks, but a scattered, largely qualitative literature on air pollution beliefs, attitudes, and behaviors raises questions about its effectiveness. A telephone survey of Paterson, New Jersey (USA) residents tested four hypotheses aimed toward integrating these findings. Self-reported sheltering indoors during high pollution, the recommended strategy, was predicted by perceived air quality and self-reported "sensitivity" to air pollution. Nearly a quarter of the sample reported mandatory outdoor activity (e.g., work) that might increase their exposures, but this factor did not significantly affect self-reported sheltering. Perceptions of air quality did not correlate strongly with official monitoring data (U.S. Air Quality Index (AQI)); even people who regularly sought AQI data relied upon sensory cues to high pollution, and secondarily upon health cues. Use of sensory and health cues, definitions of what makes someone sensitive to air pollution, and (less strongly) definitions of vulnerability to air pollution varied widely. The minority aware of the AQI were more likely to seek it if they had illnesses or saw themselves in the targeted AQI audience, yet less likely if they believed themselves sensitive to pollution. However, their sense of the AQI's match to their own experience was driven by whether they used sensory (yes) or health (no) cues, not by illness status. Some urban residents might not have access to AQI data, but this barrier seems outweighed by need to bridge interpretive gaps over definitions of air pollution, sensory perception, vulnerability, and health consequences.

Developing a bidirectional academic-community partnership with an Appalachian-American community for environmental health research and risk communication

BACKGROUND

Marietta, Ohio, is an Appalachian-American community whose residents have long struggled with understanding their exposure to airborne manganese (Mn). Although community engagement in research is strongly endorsed by the National Institutes of Health and the National Institute of Environmental Health Sciences in particular, little has been documented demonstrating how an academic-community partnership that implements the community-based participatory research (CBPR) principles can be created and mobilized for research.

OBJECTIVES

We created a bidirectional, academic-community partnership with an Appalachian-American community to a) identify the community's thoughts and perceptions about local air quality, its effect on health, and the perception of risk communication sources and b) jointly develop and conduct environmental health research.

METHODS

We formed a community advisory board (CAB), jointly conducted pilot research studies, and used the results to develop a community-driven research agenda.

RESULTS

Persons in the community were "very concerned" to "concerned" about local air quality (91%) and perceived the air quality to have a direct impact on their health and on their children's health (93% and 94%, respectively). The CAB identified the primary research question: "Does Mn affect the cognition and behavior of children?" Although the community members perceived research scientists as the most trusted and knowledgeable regarding risks from industrial emissions, they received very little risk information from research scientists.

CONCLUSIONS

Engaging a community in environmental health research from its onset enhanced the quality and relevance of the research investigation. The CBPR principles were a useful framework in building a strong academic-community partnership. Because of the current disconnect between communities and research scientists, academic researchers should consider working collaboratively with community-based risk communication sources.

Pedestrians' perception of environmental stimuli through field surveys: focus on particulate pollution

The between perception of individual exposure to different environmental stimuli; microclimate, noise and especially particulate matter (PM) was examined. Microclimate, noise and PM were monitored during field surveys with 260 questionnaire-guided interviews at a road construction site and a traffic site on the UC San Diego campus. The overall comfort was determined primarily by the thermal environment. The air quality was considered to be poor by 42% of the interviewees at the construction site, which was burdened with higher PM counts and sound levels. Overall, higher PM concentrations were correlated with perception of poor air quality. Similarity between the overall air quality and how dusty it feels suggests that visual clues of PM, such as dust, affect the perception of air quality and pollution. The effect of medical or smoking history on the perceived air quality was also examined. People with a medical history of hay fever voted more frequently for poor air quality conditions than those without, whereas current smokers were the least sensitive to ambient air quality conditions. Through the exposure-response relationships between the various perception votes and PM, it was possible to predict perceived air cleanliness using the PM count. Understanding the human assessment of environmental stimuli could inform the design and development of urban spaces, in relation to the allocation of uses and activities, along with air quality management schemes.

Perceived health risks of manganese in the Molango Mining District, Mexico

A series of investigations, using an ecosystem approach to human health, have been conducted in the Molango Mining District in the state of Hidalgo, Mexico. Given that risk perception plays a key role in the public response to environmental exposures, it is important to recognize the perceived health risks of manganese (Mn). The aim of this study was to analyse the Mn risk perception by describing the attitudes of adult residents toward their communities, assessing the importance they give to environmental problems, including Mn, and their recognition of the links established between Mn and health-illness-death. A quantitative study based on interviewer-administered questionnaires was conducted. A sample of 402 residents was randomly selected from six communities at different distances from the mines and/or Mn processing plants. Descriptive statistics and logistic regression models were used to identify Mn risk perception predictors. The results show that roughly 30% of the residents identified mining activities and the resultant pollution as their most important concern. This proportion is greater in communities that have processing plants within them. More than 70% perceive a high Mn pollution regionally, but this proportion decreases when the residents attribute the pollution to their home area. More than 20% of the adults interviewed associated Mn exposure with their own illness, mainly "lungs" and "sight." Factors influencing Mn risk perception are community of residence, age group (41-60), and the report of having a chronic illness. The risk management plan for the mining district must take into account these differences to have a greater local impact.

Some considerations for the communication of results of air pollution health effects tracking

Communicating effectively and efficiently on air quality and its health impacts is an important but difficult and complex task. It requires careful consideration of the audience one wants to reach, the messages one is trying to present, the venue through which the message will be delivered. The audience, context, technique, and content factors may affect how well it is heard and how appropriately it is interpreted. In this short paper, I describe many of these concerns and provide some suggestions for how best to address them. However, since every audience differs in goals, characteristics, and nature, what is most important is implementing an effective communications program. This program should include frequent two-way communication, repeated and on-going evaluation of how well the audience understands the messages, and consideration of how to improve the delivery.

Community perception of water quality in a mining-affected area: a case study for the Certej catchment in the Apuseni Mountains in Romania

Mining-contaminated sites and the affected communities at risk are important issues on the agenda of both researchers and policy makers, particularly in the former communist block countries in Eastern Europe. Integrated analyses and expert based assessments concerning mining affected areas are important in providing solid policy guidelines for environmental and social risk management and mitigation. Based on a survey for 103 households conducted in a former mining site in the Certej Catchment of the Apuseni Mountains, western Romania, this study assesses local communities' perceptions on the quality of water in their living area. Logistic regression was used to examine peoples' perception on the quality of the main river water and of the drinking water based on several predictors relating to social and economic conditions. The results from the perception analysis were then compared with the measurements of heavy metal contamination of the main river and drinking water undertaken in the same study area. The findings indicate that perception and measurement results for the water quality in the Certej Catchment are convergent, suggesting an obvious risk that mining activities pose on the surface water. However, the perception on drinking water quality was little predicted by the regression model and does not seem to be so much related to mining as to other explanatory factors, such as special mineralogy of rock and soils or improper water treatment infrastructure, facts suggested by the measurements of the contaminants. Discussion about the implications of these joint findings for risk mitigation policies completes this article.

Efficacy of an outdoor air pollution education program in a community at risk for asthma morbidity

BACKGROUND

Asthma management guidelines recommend avoiding exposure to indoor and outdoor air pollutants. A limitation of such recommendations is that they do not provide information about how the public should obtain and act on air quality information. Although the Air Quality Index (AQI) provides simplified outdoor air quality forecasts, communities with high rates of asthma morbidity tend to have low rates of internet access due to factors such as low socioeconomic status. Assessments of knowledge about air quality among low-income minority communities are lacking, as are community-based programs to educate the public about using the AQI.

METHODS

An air quality education program and system for disseminating air quality information were developed to promote pollutant avoidance during the reconstruction of a major highway in a low-income minority community on Chicago's South Side. The program, which centered on workshops run by community asthma educators, was evaluated using a pre-test, post-test, and 1-year follow-up questionnaire.

RESULTS

A total of 120 community workshop participants completed at least a portion of the evaluation process. At baseline, knowledge about air quality was limited. Following the workshops, substantial increases were noted in rates of correct answers to questions about health effects of air pollution, the availability of air quality information, and the color code for an AQI category. Approximately 1 year after the workshops were held, few participants could recall elements of the training. Few participants have internet access, and alternative means of distributing air quality information were suggested by study participants.

CONCLUSIONS

Baseline knowledge of air quality information was limited in the community studied. Air quality education workshops conducted by community educators can increase knowledge about outdoor air quality and its impact on health over the short term. Refresher workshops or other efforts to sustain the knowledge increase may be useful. Given the known short-term and long-term effects of air quality on morbidity and mortality, air quality education efforts should be further developed, evaluated, and promoted for the general public, for people with underlying cardiopulmonary disease, and given the documented health disparities within the general population, for low-income and minority communities.

Why do neighbors have different environmental priorities? Analysis of environmental risk perception in a Beirut neighborhood

Differences in environmental priorities within an urban neighborhood of Beirut are analyzed. The explanatory capabilities of five categories of contextual variables are compared: socioeconomic status, locality, health, behavior, and environmental beliefs. Semi-structured interviews with key individuals in the community and residents were first conducted. Four environmental issues of concern were identified. A survey was carried out to identify the relative priority accorded by respondents to these four issues, and to measure variables likely to explain differences of opinion. Bivariate and multivariate logistic regression analyses were conducted for each of the four problems. The 99% confidence interval (CI) of the odds ratio (OR) was used as a test of significance. Respondents suffering from a respiratory disease (OR = 6.94, 99%CI = 1.54-31.25), those living in less crowded houses (OR = 4.88, 99%CI = 1.38-17.24), and those not living close to the neighborhood's industrial street (OR=5.26, 99%CI = 1.01-27.78) are significantly more likely to rank poor air quality first. Significant associations are found between poor water quality as first priority and nonpresence of a smoker in the household (OR = 6.12, 99%CI = 1.84-20.32) and perception of water salinity as a problem (OR = 7.46, 99%CI = 1.50-37.03). Males (OR = 6.94, 99%CI = 1.02-47.62) and tenants versus owners (OR = 10.49, 99%CI = 1.36-80.61) are significantly more likely to rank the residential-industrial mix first. Socioeconomic variables retain their explanatory capability in the studied neighborhood, despite relatively small income disparities. Behavioral variables, such as smoking, may be causative factors of priorities. Analyzing relative priorities, rather than "concern" or lack of it, reveals more complex patterns of association. Identifying environmental-perception divide lines can help develop a more inclusive and effective participatory environmental management.

Potential sources of bias in the use of individual's recall of the frequency of exposure to air pollution for use in exposure assessment in epidemiological studies: a cross-sectional survey

BACKGROUND

In a previous study it has been shown that mean population perception of air pollution correlates well with physical measures of actual air pollution and could be used as a measure of exposure to air pollution, at least for those forms of pollution perceptible to humans. However, for such a measure to be valid researchers would need to be confident that it was not strongly biased by possible confounding variables. This study reports the association between perception of above average levels of air pollution compared with others in the neighbourhood and a number of factors that may influence reporting.

METHODS

This was a postal cross-sectional study of 3402 households in England in a mixed rural and urban area adjacent to a large industrial complex. Respondents were asked about their social and demographic characteristics, the presence of respiratory symptoms and frequency of exposure to a range of pollution types.

RESULTS AND DISCUSSION

There were strong associations (p < 0.01) with the presence of a person in the home with respiratory symptoms, the belief that industrial pollution was harming their health, social class, living in rented accommodation and reporting noise from neighbours and other people's smoke. Smoking behaviour did not affect reporting.

CONCLUSIONS

We did not find any evidence of bias that would substantially invalidate mean population reporting of air pollution severity as a measure of exposure in epidemiological studies, though care may be needed in interpreting results where those factors found to be significant in this study vary substantially between areas.