scholarly journals Illuminating Stakeholder Perspectives at the Intersection of Air Quality Health Risk Communication and Cardiac Rehabilitation

Author(s):  
Mary Clare Hano ◽  
Christina L. Baghdikian ◽  
Steven Prince ◽  
Elisa Lazzarino ◽  
Bryan Hubbell ◽  
...  

There is ample evidence of adverse cardiovascular health outcomes associated with exposure to air pollution and cardiac rehabilitation patients are at increased risk for future adverse health events related to air quality. Risk communication and health messaging about recommended behaviors to reduce exposure to air pollution can be integrated into existing care routines and structures. How this can be achieved most appropriately and effectively is not well understood. A focus group design is used to investigate cardiovascular patient and provider experiences, attitudes and beliefs about the risks of air pollution, related health risk messaging and factors that may influence integrating that topic into patient care and communication. Three discussions were hosted, one with cardiac patients, a second with non-physician cardiac rehabilitation providers and a third with physicians who treat cardiac patients. A within-case thematic inductive analysis of each discussion is used to understand the nature of communication, logistics, guidance and overall substance of the cardiac rehabilitation educational experience. Results suggest that air pollution may be an unrecognized risk factor for cardiac patients and cardiac rehabilitation is a prime setting for communicating air pollution health risk messaging. However, to effectively integrate air quality health risk messaging into cardiac rehabilitation, it is critical to account for the existing knowledge-base and behaviors of both providers and patients.

2019 ◽  
Vol 8 (2) ◽  
pp. 274 ◽  
Author(s):  
Darren E. R. Warburton ◽  
Shannon S. D. Bredin ◽  
Erin M. Shellington ◽  
Christie Cole ◽  
Amanda de Faye ◽  
...  

Persons living with chronic medical conditions (such as coronary artery disease (CAD)) are thought to be at increased risk when exposed to air pollution. This systematic review critically evaluated the short-term health effects of air pollution in persons living with CAD. Original research articles were retrieved systematically through searching electronic databases (e.g., Medical Literature Analysis and Retrieval System Online (MEDLINE)), cross-referencing, and the authors’ knowledge. From 2884 individual citations, 26 eligible articles were identified. The majority of the investigations (18 of 22 (82%)) revealed a negative relationship between air pollutants and cardiac function or overall health. Heart rate variability (HRV) was the primary cardiovascular outcome measure, with 10 out of 13 studies reporting at least one index of HRV being significantly affected by air pollutants. However, there was some inconsistency in the relationship between HRV and air pollutants, mediated (at least in part) by the confounding effects of beta-blocker medications. In conclusion, there is strong evidence that air pollution can have adverse effects on cardiovascular function in persons living with CAD. All persons living with CAD should be educated on how to monitor air quality, should recognize the potential risks of excessive exposure to air pollution, and be aware of strategies to mitigate these risks. Persons living with CAD should minimize their exposure to air pollution by limiting outdoor physical activity participation when the forecast air quality health index indicates increased air pollution (i.e., an increased risk).


2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
J Gajic ◽  
D Dimovski ◽  
B Vukajlovic ◽  
M Jevtic

Abstract Issue/problem Increasing attention is being paid to air pollution as one of the greatest threats to public and urban health. The WHO’s Urban Health Initiative points out the importance of collecting data and mapping the present state of air quality in urban areas. For citizens, such engagement is enabled by the appearance of personal air quality measurement devices that use crowd-sourcing to make measurement results publicly accessible in real time. Description of the problem As a way of contributing to air pollution monitoring in their town, three PhD Public health students conducted over 40 measurements between the start of June and end of August 2018 on various locations in the city of Novi Sad, Serbia. Measurements were performed using AirBeam personal air quality monitoring devices and their results presented as μg/m3 of Particulate Matter 2.5 (PM2.5) and automatically uploaded to the internet using the Air-casting app. Results Measurements conducted in public transportation vehicles returned the rather high average value of 40 μg/m3, where coffee shops and restaurants scored an even higher value of 48,67 μg/m3. The lowest average air pollution levels were registered near the Danube river bank (5.67) and in the parks (6), while the sites near crossroads or in the street showed average air pollution of 8.33 μg/m3. Residential areas where smoking is present during the day reported 2.5 times higher PM2.5 values than those without smokers (33.8 and 12.78 μg/m3). Lessons Bearing in mind that the air quality is considered as a serious health risk in urban areas, results of this pilot investigation suggest potential health risk for citizens living in urban areas. The negative effects of combustion and smoking on air quality are strongly highlighted, as well as the positive impact of green areas and parks near residential areas. Key messages Air pollution exposure as a serious health risk in urban areas. Crowdsourcing as a way of air quality monitoring has great potential for contributing to public health.


2021 ◽  
Vol 9 (1) ◽  
pp. 127-137
Author(s):  
Edward Kibikyo Mukooza

More than 98% of urban centres exceeding 100,000 people in Low and Middle-Income Countries (LMICs), do not meet the WHO air quality limits. Data on air pollution from LMICs is scarce. We measured the mean concentrations of near-road PM2.5 in the period of Aug.-Dec. 2020, described the Mukono Municipality’s near-road populations’ exposure to PM2.5, and assessed the associated health risk. PurpleAir PA-II laser particle counters, measured near-road ambient air PM2.5 concentration in Mukono Municipality during the period of 09/1/20 to 12/04/20. Excel Toolpak was used for data analysis and the health risk assessed with the WHO AirQ+ tool. The mean ambient near–road PM2.5 in Mukono Municipality were 30.97, 33.84 and 47.74 ug/m3for background, near-unpaved and near-paved roads, respectively. Mukono Municipality’s population was exposed to ambient PM2.5 concentrations higher than the WHO annual limit of 10 ug/m3. This level of air pollution is associated with preventable annual premature deaths of up to 133.11 per 100,000 population. Vehicles were assumed to be the predominant source of near-road ambient air PM2.5 pollution. The Municipality’s population was exposed to near-road ambient air PM2.5 exceeding the WHO annual limit by as much as *4.7 for the paved roads, *3.3 for the unpaved roads and *3 for the background. This leads to increased risk of preventable premature deaths in the Municipality.Mukono Municipality could monitor PM2.5; guide developers to placebuildings more than 100 meters away from roadsides and should promotepolicies for newer vehicles on Ugandan roads.


Circulation ◽  
2015 ◽  
Vol 131 (suppl_1) ◽  
Author(s):  
Sarah Singh ◽  
Courtney Pilkerton ◽  
Adam Christian ◽  
Thomas K Bias ◽  
Stephanie J Frisbee

BACKGROUND: Although the link between air pollution and cardiovascular disease has been controversial in recent decades, it remains a top global health concern. Most studies have assessed only the relationship between pollutant concentrations and morbidity or mortality in populous cities. In this study, we investigated the association of long term exposure to major air pollutants with current cardiovascular health. This outcome was a measure of health rather than disease, as measured by the Cardiovascular Health Index (CVHI) developed by the American Heart Association. METHODS: We analyzed 2011 data from 3007 counties across the US using Behavioral Risk Factor Surveillance System and Area Health Resources File. Air Quality Index (AQI) for five major pollutants from 2001-2011; Ozone, Sulfur dioxide and Carbon monoxide and Fine particulate matter (aerodynamic diameter of 10 and ≤2.5 μm) were obtained from the EPA Air Quality System database. Categories were based on the 11-year average pollutant AQI level and using Jenks optimization method; persistently good, variant and persistently bad. Associations between categories and the mean CVHI were evaluated using Poisson regression models adjusting for age, sex, race/ethnicity and socioeconomic status at the individual and population level. RESULTS: PM2.5 was most frequently measured (938 counties) and carbon monoxide least frequently (224 counties). Correlations between pollutants were moderate and significant (p<0.0001), ranging from r=0.30 between CO and Oz to r=0.52 between SD and PM2.5. Four pollutants had 11-year average AQI levels significantly associated with increased mean CVHI score of individuals. Living in a county categorized as ‘persistently good’ or ‘variant’ AQI levels for ozone is significantly associated with an estimated 3% increase in CVHI (95% CI 0.1% - 5.0%) as compared to living in a county of ‘persistently bad’ AQI levels. In addition, living in a county of only ‘persistently good’ AQI levels for PM2.5 is significantly associated with an estimated 5% increase in CVHI (95% CI 3% - 9%) as compared to living in a county of ‘persistently bad’ AQI levels. Inverse relationships existed for both PM10 and carbon monoxide. CONCLUSIONS: It is difficult to tease apart the independent effects of individual air pollutants on health as humans are exposed to a mixture of gases. However we have shown that at the individual level, there is an association between long term exposure to air pollution and its effects on current cardiovascular health. Further research is needed to determine whether these effects exist at varying levels of subject characteristics.


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