(C) Daily Yonder - Keep it Rural
This story was originally published by Daily Yonder - Keep it Rural and is unaltered.
. . . . . . . . . .
Fine Particles in Wildfire Smoke and Pediatric Respiratory Health in California [1]
['Aguilera', 'Scripps Institution Of Oceanography', 'Corringham', 'Gershunov', 'Leibel', 'Departments Of Allergy', 'Immunology', 'Pediatric Allergy', 'Benmarhnia', 'Herbert Wertheim School Of Public Health']
Date: 2021-04-01
Wildfire-specific PM 2.5 was found to be ∼10 times more harmful on children’s respiratory health than PM 2.5 from other sources, particularly for children aged 0 to 5 years. Even relatively modest wildfires and associated PM 2.5 resolved on our record produced major health impacts, particularly for younger children, in comparison with ambient PM 2.5 .
A 10-unit increase in PM 2.5 (from nonsmoke sources) was estimated to increase the number of admissions by 3.7% (95% confidence interval: 1.2% to 6.1%). In contrast, the effect of PM 2.5 attributable to wildfire was estimated to be a 30.0% (95% confidence interval: 26.6% to 33.4%) increase in visits.
Exposure to airborne fine particles with diameters ≤2.5 μm (PM 2.5 ) pollution is a well-established cause of respiratory diseases in children; whether wildfire-specific PM 2.5 causes more damage, however, remains uncertain. We examine the associations between wildfire-specific PM 2.5 and pediatric respiratory health during the period 2011–2017 in San Diego County, California, and compare these results with other sources of PM 2.5 .
Airborne fine particles with diameters ≤2.5 μm (PM 2.5 ) from wildfire smoke adversely impact public health, notably through respiratory diseases 1 – 5 because PM 2.5 can deposit in the respiratory tract 6 and affect vulnerable populations. 7 – 9 Although PM 2.5 in the United States has decreased in past decades because of environmental regulations, 10 , 11 wildfire PM 2.5 and the associated health impacts are projected to increase with global change. 12 – 14
Current air quality regulations from the Clean Air Act Amendments assume that the toxicity of PM 2.5 does not vary across different sources of emission. Recent toxicological studies have, however, found that the toxicity level of PM 2.5 in wildfires smoke is greater than that of an equivalent dose of PM 2.5 in ambient air, 15 , 16 which suggests current PM 2.5 standards may need reconsideration. Characterizing specific vulnerabilities to wildfire smoke and other sources of PM 2.5 helps targeting population groups for preventive measures and health monitoring.
In children, high levels of PM 2.5 affect lung development and impair lung function, 17 , 18 regardless of any preexisting illness or chronic condition. 19 Although children are considered a vulnerable group in terms of exposure to PM 2.5 , 20 few studies have demonstrated increased vulnerability in children exposed to PM 2.5 from wildfire smoke. 21 – 26 In addition, existing literature has mainly addressed the effects of single wildfires over a short period of time and has not considered any differential effects of PM 2.5 on health based on sources of emission.
In coastal Southern California (SoCal), wildfires driven by the warm, dry, northeasterly Santa Ana winds (SAWs) in early fall 27 , 28 have the greatest effect on human health and the economy. 29 – 31 Wildfire severity is expected to increase in this region because of a warming and drying climate 32 , 33 despite a projected decrease in SAW activity. 34 , 35 Two studies examining the impacts of the 2003 SAW-driven firestorm on pediatric health revealed higher prevalence of self-reported respiratory symptoms in school-aged children living in communities exposed to smoke. 22 , 36 Hutchinson et al 25 found a 70% increase in emergency department visits for respiratory diagnoses in San Diego County for children aged 0 to 4 years during a similar firestorm in 2007. Leibel et al 26 found an increase in pediatric respiratory visits, particularly for younger children, after a SAW-driven wildfire in 2017. Wildfire health impacts are also associated with a substantial economic burden, such as the estimated $3.4 million in health care costs during the October 2007 firestorm in SoCal. 37
Here, we examine the associations between wildfire-specific PM 2.5 and pediatric visits for respiratory diseases during the period 2011–2017 in San Diego County and compare these results with other sources of PM 2.5 . Our analytical approach to estimate human exposure to wildfire-specific PM 2.5 allows for the examination of multiple wildfire events, which is uncommon in the existing literature. Specifically, our spatiotemporal multiple imputation approach to isolate wildfire-specific PM 2.5 offers the advantage of modeling daily concentrations at the zip code level over a large study period (7 years) and area.
Mean daily PM 2.5 during the 7-year period (2011–2017) in the 86 zip codes with available concentrations after interpolation from EPA Air Quality System air quality monitors (shown here as black triangles). Inset is the situation of San Diego County (in red) in California.
Mean daily PM 2.5 during the 7-year period (2011–2017) in the 86 zip codes with available concentrations after interpolation from EPA Air Quality System air quality monitors (shown here as black triangles). Inset is the situation of San Diego County (in red) in California.
The study area covered 86 zip codes in San Diego County with PM 2.5 data availability ( Fig 1 ), which mainly involved coastal zip codes with the largest population in the county ( Supplemental Fig 3 ). Between 2011 and 2017, there were 45 wildfires, of which 14 were SAW-related ( Supplemental Fig 3 , Supplemental Table 4 ), with a total of 108 000 acres burned over the 7-year period, according to data from the California Department of Forestry and Fire Protection (CalFire;
http://frap.fire.ca.gov/ ). This period did not contain extreme wildfires; for comparison, the largest single wildfire in the county, the Witch Fire, burned 198 000 acres in October 2007. SAW-driven wildfires burn in the backcountry foothills typically in fall (the beginning of the SAW season before the first rains of winter) transporting smoke toward coastal areas. Conversely, most summer fires in SoCal are quickly contained and typically cause little damage to population. 38
Within our 7-year study period, there were 884 471 emergency department and urgent care visits in the Rady’s Children Hospital network, which provides medical care for 91% of San Diego County’s hospitalized children. 26 The specific data fields analyzed included date of visit, date of birth, zip code of patient’s residence, and respiratory or nonrespiratory visit. Respiratory visits were defined by the following specific data field chief complaints: difficulty breathing, respiratory distress, wheezing, asthma, or cough. Using the visit’s chief complaint, a single specific data field indicating the intent of the visit captured a greater number of visits with an indication of a respiratory condition compared to using International Classification of Diseases, Ninth Revision and International Classification of Diseases, 10th Revision diagnostic codes. 25 , 29 Respiratory visits accounted for 20% of total visits (n = 174 766). In addition, we also considered the above 5 chief complaints individually in our statistical analyses related to the effects of wildfire PM 2.5 on pediatric health.
Daily zip code-specific concentrations of PM 2.5 were estimated from 2011 to 2017 by using 24-hour daily means sampled and analyzed by the US Environmental Protection Agency (EPA) Air Quality System (
https://www.epa.gov/aqs ) at ground monitoring stations ( Fig 1 ). Values were interpolated by using an inverse distance weighting approach, 39 which gives greater importance to monitoring stations closer to the point of interest, with monitored PM 2.5 data within a 20-km radius of each population-weighted zip code centroid. The resulting zip code level values of daily PM 2.5 represent fine particulate matter from all sources (ambient levels from traffic and industrial emissions and wildfire smoke).
We used available smoke plume data sets from the National Oceanographic and Atmospheric Administration’s Hazard Mapping System (HMS) to identify zip code days exposed to wildfire smoke. HMS uses visible satellite imagery and trained satellite analyst skills to estimate the spatial extent of smoke, although it cannot discern whether a given plume is at ground level (where PM 2.5 samples are taken for monitoring) or higher in the atmosphere. 40 The HMS smoke products represent the spatial extent of daily smoke plumes. 41 A simple smoke binary variable was created by intersecting zip code polygons with smoke polygons, which was then used as an indication of daily exposure to wildfire smoke PM 2.5 . In other words, a value of 1 (exposed) was assigned to a zip code on a given day if its boundaries were within a smoke plume polygon from the HMS data set.
5. Subsequent strata-specific analyses of pediatric visits by age categories of <6, 6 to 12, and 13 to 19 years were performed. In addition, we conducted a sensitivity analysis by removing the zip code fixed-effects term. Finally, we also evaluated the impacts on health with lag effects (lags 1–3).
Lastly, rates of pediatric visits (per 100 000 individuals) were regressed on the wildfire-specific PM 2.5 concentrations (Equation 1 below), including controls for day-of-week effects, month-of-year effects, a linear time trend, and zip code fixed effects. Ordinary Least Squares regressions were implemented with the Linear Models for Panel Data R package. 43 The same analysis was performed for aggregated and nonsmoke concentrations of PM 2.5 . To summarize, our analysis of impacts on rates (ie, population in the denominator) of respiratory visits controls for time-fixed confounders at the zip code level, which, in turn, include baseline risk (intercept) and population composition:
We used a spline interpolation approach to impute the values of nonsmoke PM 2.5 on all zip code days categorized as exposed to smoke and where PM 2.5 data were originally available (ie, we did not impute missing values in the original data set). Cubic spline interpolation was implemented by means of the imputeTS R package. 42 This step provided estimates of ambient PM 2.5 unrelated to wildfire smoke.
We used a cubic spline interpolation to impute the PM 2.5 concentrations attributable to nonsmoke sources in zip code days previously identified as exposed to wildfire smoke. Cubic splines are an extension of polynomial regression in which times t are divided into k intervals called knots. For each interval, a regression is fit with 3 parameters. This method has been found to allow the inclusion of local characteristics of a trend without prejudicing its global characteristics. More specifically, we followed the steps below:
Among the 5 specific conditions, cough was present in most visits categorized as respiratory ( Supplemental Table 8 , Supplemental Fig 4 ). A 10-U increase in wildfire-specific PM 2.5 was estimated to cause a 21.8% (95% CI: 3.6% to 40.1%) increase in visits reporting cough ( Table 3 ). Models for aggregated and nonsmoke PM 2.5 reported a 3% increase in respiratory visits associated with cough. For the remaining 4 conditions, results from our models consistently revealed at least 1 order of magnitude increase for visits associated with wildfire-specific PM 2.5 in relation to other sources, although results lacked precision ( Table 3 ).
When looking at the association between wildfire PM 2.5 and respiratory visits by age categories ( Table 2 ), children from 0 to 5 years old were most affected. For this age range, wildfire-specific PM 2.5 was ∼10 times more harmful (34.5% increased visits; Table 2 ) than PM 2.5 from other sources (eg, 3.1% increase for nonsmoke PM 2.5 ). Results for the remaining age categories were rather imprecise, although the coefficient for wildfire-specific PM 2.5 was 2 orders of magnitude larger than those for aggregated and nonsmoke PM 2.5 for children aged 6 to 12 years. The negative coefficient (−0.010; 95% CI: −0.041 to 0.020) for children between 13 and 19 years old would indicate a predominant protective effect under wildfire smoke conditions, although results were also imprecise for this group.
Table 1 summarizes our results for the effects of wildfire-PM 2.5 on pediatric respiratory visits in San Diego County over the period 2011–2017. On the basis of the mean number (2.5) of daily respiratory visits per 100 000 individuals, a 10-U increase in PM 2.5 (from aggregated sources) was estimated to increase the number of admissions by 3.9% (95% confidence interval [CI]: 1.5% to 6.3%). A similar increase was found for nonsmoke concentrations of PM 2.5 (3.7%; CI: 1.2% to 6.1%). In contrast, the effect of PM 2.5 attributable to wildfire smoke was estimated to be a 30.0% (95% CI: 26.6% to 33.4%) increase in visits associated with a 10-unit increase in PM 2.5 . Comparable results were observed when expressing the differential impacts with an IQR increase in PM 2.5 ( Supplemental Table 5 ) Wildfire-specific PM 2.5 was thus found to be ∼10 times more harmful on children’s respiratory health than PM 2.5 from other sources (eg, nonsmoke). A sensitivity analysis in which the zip code fixed-effects term was removed resulted in similar findings (see Supplemental Table 6 ). Results of lag effects (lags 1–3; presented in Supplemental Table 7 ), although highly imprecise at some instances, yielded greater coefficient values (of at least one order of magnitude) for wildfire-specific PM 2.5 , which translates to greater impacts on health.
We found that wildfire-specific PM 2.5 cause a greater impact on pediatric respiratory health than PM 2.5 from other sources, such as ambient concentrations from traffic emissions. The differential toxicity of wildfire PM 2.5 as compared with other sources of PM 2.5 has been debated,44,45 but recent animal toxicological studies suggest that wildfire particulate matter may be more toxic than equal doses of ambient PM 2.5 .15,16 Previous research suggests that wildfire-specific particulate matter is mainly constituted of elemental carbon, although heat-labile organic compounds (eg, volatile organic compounds such as benzene) may also play a significant role in explaining higher toxicity. As fires reach the wildland-urban interface, other toxic chemicals may be released from the burning of residential or industrial infrastructure. In epidemiological studies, it has been revealed that exposure to PM 2.5 from wildfire smoke leads to acute exacerbations of respiratory symptoms and increased health care use1,8,9,25 and particularly affects children.26
Because children breathe more air per minute than adults and have lungs that are still developing, they are especially vulnerable to health effects during wildfires, particularly in the case of children who are very young or who already have respiratory diseases. Our findings also indicate that children between 0 and 5 years old were more affected by PM 2.5 in wildfire smoke than older children, which is consistent with recent evidence in our study region.25,26 Acute effects of smoke exposure observed on children’s respiratory systems could also lead to chronic health issues. For instance, Black et al46 observed a decrease in lung function in a cohort of 3-year-old (adolescent) Macaque monkeys who were infants during the 2008 wildfires in Northern California that was not observed in an unexposed cohort (born a year later). Research on long-term effects of wildfire smoke exposure during childhood is, however, scarce and deserves further attention.3
By understanding the impacts of wildfire smoke exposure on vulnerable pediatric populations, researchers and policy makers can develop evidence-based guidelines for mitigating risk and increasing public awareness of wildfire impacts. Public health strategies to protect susceptible individuals could involve early warning systems and community coordination with schools and health care providers.47 A larger burden on the health care system beyond inpatient hospitalizations would also increase awareness among public health care practitioners and providers of the possible increase in care use after a wildfire.9 From a land management perspective, prescribed fires during appropriate fuel and weather conditions can help reduce the likelihood of severe damage caused by large, devastating wildfires.48 Although prescribed fires raise public concerns regarding pollutant exposure, a recent study in California has suggested that wildfire smoke may be more harmful to children’s health than smoke from a prescribed fire.49
Understanding the impacts of wildfire on public health is of vital importance and is particularly relevant in a wildfire-prone region like SoCal that is densely populated downwind of wildfire-risk areas. Warming is continually increasing wildfire frequency and severity in California.33,50 A later start to the wet season, together with an expected decrease in SAW activity in the fall,35 will gradually shift the SoCal wildfire season from fall to winter.33,35 Moreover, the region is continuously experiencing spatial patterns of population expansion from coastal areas inland, leading to the expansion of the wildland-urban interface,51 which can increase sources of wildfire ignition, leading to a greater probability of large and destructive wildfires in the sloping backcountry where SAWs are maximized.
Although extreme wildfires have occurred elsewhere in SoCal during our 2011–2017 period of record, San Diego County, specifically, has been spared from devastating extremes certainly due in part to lessons learned from the 2003 and 2007 catastrophic wildfires.52 Even relatively modest wildfires resolved on our record produced major health impacts, as revealed here.
Study limitations include the use of patient home address (zip code) to estimate exposures and using community-level PM 2.5 to assess and quantify individual wildfire PM 2.5 exposures. In addition, it is possible that some visits are from the same affected individuals; although it is unfeasible to perform a sensitivity analysis because of lack of information on individuals, we expect that it would not significantly affect the outcome and conclusions of our study. The number and extent of smoke plumes used to categorize exposed zip code days represent a conservative estimate because of the limitations of visible satellite data and geospatial relationships. All the above may have led to the misclassification of some of the smoke PM 2.5 as nonsmoke PM 2.5 and vice versa. We did not specifically evaluate weather-related confounders, although we assume that seasonal controls in our regression models capture the variability of regional and seasonal factors such as temperature and humidity. Lastly, although not considered in this study, it would be interesting to assess the epidemiological response in the pediatric population in relation to health outcomes beyond respiratory conditions.
Overall, our results underscore the need for a better understanding of the differential effects of wildfire-specific PM 2.5 on vulnerable populations. Broader regional trends in extreme wildfire occurrences associated with global warming33 and population expansion51 as well as compounding effects on the respiratory system from the current global pandemic (coronavirus disease 2019) and regional epidemics (eg, seasonal flu) provide urgency to quantifying impacts and develop vulnerability-targeted early warning systems and adaptation plans expanding from county to broader scales.
[END]
---
[1] Url:
https://publications.aap.org/pediatrics/article/147/4/e2020027128/180791/Fine-Particles-in-Wildfire-Smoke-and-Pediatric?autologincheck=redirected?nfToken=00000000-0000-0000-0000-000000000000
Published and (C) by Daily Yonder - Keep it Rural
Content appears here under this condition or license: Creative Commons CC BY-ND 4.0 International.
via Magical.Fish Gopher News Feeds:
gopher://magical.fish/1/feeds/news/dailyyonder/
