Empowering community health professionals for effective air pollution information communication.

BACKGROUND: Air pollution remains a significant public health risk, particularly in urban areas. Effective communication strategies remain integral to overall protection by encouraging the adoption of personal air pollution exposure reduction behaviours. This study aims to explore how community health professionals can be empowered to communicate air pollution information and advice to the wider community, to encourage the uptake of desired behaviours in the population. METHODS: The study adopted a qualitative methodology, where four homogenous Focus Group Discussions (FGDs) were held with a range of community health professionals, including Health Care Professionals, Community Health and Wellbeing Workers (CHWWs) and Social Prescribing Link Workers (SPLW). A classical content analysis was conducted with the Structural Empowerment Theory (SET) and Psychological Empowerment Theory (PET) as guiding concepts. RESULTS: Five key themes were identified: from a structural empowerment perspective: [1] resources and support, [2] knowledge. From a psychological empowerment perspective: [3] confidence as advisor, [4] responsibility as advisor, and [5] residents' receptiveness to advice. It was concluded that advice should be risk stratified, clear, easy to follow and provide alternatives. CONCLUSION: This study identified ways for community health professionals to be empowered by local councils or other organisations in providing advice on air pollution, through the provision of essential structural support and opportunities to enhance their knowledge and confidence in the subject. Implementing recommendations from this study would not only empower community health professionals to advise on air pollution to the wider community but also increase adherence to health advice.

"I am an air quality scientist"- Using citizen science to characterise school children's exposure to air pollution.

Children are particularly vulnerable to the harmful effects of air pollution. To tackle this issue and implement effective strategies to reduce child exposure, it is important to understand how children are exposed to this risk. This study followed a citizen science approach to air pollution monitoring, aiming to characterise school children's exposure to air pollution and to analyse how a citizen science approach to data collection could contribute to and enhance the research process. 258 children across five London primary schools attended air pollution education sessions and measured air pollution for a week using backpacks with built-in air quality sensors. Children received a summary of the results, advice and information on how to reduce exposure to air pollution. Data on the impact of the approach on the school community were collected using surveys and focus groups with children and their parents and interviews with the teachers involved. The unique data set obtained permitted us to map different routes and modes of transport used by the children and quantify different exposure levels. We identified that, on average, children were exposed to higher levels of air pollution when travelling to and from school, particularly during the morning journey where air pollution levels were on average 52% higher than exposures at school. Children who walked to and from school through busy main roads were exposed to 33% higher levels of air pollution than those who travelled through back streets. The findings from this study showed that using a citizen science approach to data collection, where children are actively involved in the research process, not only facilitated the gathering of a large data set by encouraging participation and stimulating adherence with the study protocol, but also increased children's awareness of air pollution, encouraging them to adopt positive behaviour changes to reduce their exposure.

Comparing human exposure to fine particulate matter in low and high-income countries: A systematic review of studies measuring personal PM2.5 exposure.

BACKGROUND: Due to the adverse health effects of air pollution, researchers have advocated for personal exposure measurements whereby individuals carry portable monitors in order to better characterise and understand the sources of people's pollution exposure. OBJECTIVES: The aim of this systematic review is to assess the differences in the magnitude and sources of personal PM2.5 exposures experienced between countries at contrasting levels of income. METHODS: This review summarised studies that measured participants personal exposure by carrying a PM2.5 monitor throughout their typical day. Personal PM2.5 exposures were summarised to indicate the distribution of exposures measured within each country income category (based on low (LIC), lower-middle (LMIC), upper-middle (UMIC), and high (HIC) income countries) and between different groups (i.e. gender, age, urban or rural residents). RESULTS: From the 2259 search results, there were 140 studies that met our criteria. Overall, personal PM2.5 exposures in HICs were lower compared to other countries, with UMICs exposures being slightly lower than exposures measured in LMICs or LICs. 34% of measured groups in HICs reported below the ambient World Health Organisation 24-h PM2.5 guideline of 15 µg/m3, compared to only 1% of UMICs and 0% of LMICs and LICs. There was no difference between rural and urban participant exposures in HICs, but there were noticeably higher exposures recorded in rural areas compared to urban areas in non-HICs, due to significant household sources of PM2.5 in rural locations. In HICs, studies reported that secondhand smoke, ambient pollution infiltrating indoors, and traffic emissions were the dominant contributors to personal exposures. While, in non-HICs, household cooking and heating with biomass and coal were reported as the most important sources. CONCLUSION: This review revealed a growing literature of personal PM2.5 exposure studies, which highlighted a large variability in exposures recorded and severe inequalities in geographical and social population subgroups.