Kawasaki Disease and Exposure to Fine Particulate Air Pollution.

OBJECTIVE: To analyze associations of short-term exposure to fine particulate matter (diameter ≤ 2.5 µm [PM2.5]), a measurable component of urban pollution, with the event date of fever onset for patients with Kawasaki disease (KD) residing in 7 metropolitan regions. STUDY DESIGN: A case-crossover study design was used. Time trends, seasonality, month, and weekday were controlled for by matching. We assembled PM2.5 exposure measurements from urban monitors and imputed PM2.5 to provide day-to-day temporal variability and resolution for time series indexes of exposures. Selected exposure windows (to 14 days) of PM2.5 were examined. RESULTS: A total of 3009 KD events were included for which the subject resided within a study metropolitan area and the event date occurred during years with available PM2.5. The estimated ORs (with 95% CIs) of an event of KD associated with a 10 µg/m(3) PM2.5 lagged moving average concentration of lagged exposure period (ie, concurrent, preceding day[s]) revealed no evidence of a consistent, statistically significant, positive association between elevated PM2.5 exposure and increased risk of KD. Extended analysis with stratification by city, sex, age, ethnic origin, incomplete or complete clinical manifestations, the presence of coronary aneurysm, and intravenous immunoglobulin resistance did not provide evidence of a consistent, statistically significant, positive association between elevated exposure to PM2.5 and increased risk of KD for any of the strata studied. CONCLUSIONS: This multicity study failed to establish a risk of the event of KD with short-term fine particulate exposure. Our negative findings add to the growing field of environmental epidemiology research of KD.

Systemic onset juvenile idiopathic arthritis and exposure to fine particulate air pollution.

OBJECTIVES: Fine particulate matter (PM2.5) is a measurable component of ambient pollution, and positive associations of short-term PM2.5 exposure with the clinical presentation of systemic onset juvenile idiopathic arthritis (SJIA) in young children have been described in a regional cohort. Our objective was to further establish associations between short-term pollution exposures and the reported clinical event of SJIA onset in cases residing from multiple metropolitan regions. METHODS: A case-crossover study design was used to analyse associations of short-term PM2.5 exposures with the event of SJIA symptom onset from cases residing in five metropolitan regions. Time trends, seasonality, month, and weekday were controlled for by matching. Selected exposure windows (to 14 days) of PM2.5 were examined. RESULTS: Positive, statistically significant associations between PM2.5 concentrations and elevated risk of SJIA were not observed. The most positive associations of short-term PM2.5 exposure with SJIA were in children <5.5 years (RR 1.75, 95% CI 0.85-3.62). An ad hoc extended pooled analysis including previously reported cases from Utah's metropolitan areas identified an increased risk of SJIA for children <5.5 years (RR = 1.76, 95% CI 1.07-2.89 per 10 µg/m3 increase in 3-day lagged moving average PM2.5). CONCLUSIONS: In this multi-city, multi-period study small, statistically insignificant PM2.5-SJIA associations are observed. However, as found in prior study, the PM2.5-SJIA association is most suggestive in preschool aged children. Larger numbers of SJIA cases spatially located in geographic areas which experience a greater day to day ambient particulate burden may be required by the analysis to demonstrate effects.

Particulate Air Pollution, Exceptional Aging, and Rates of Centenarians: A Nationwide Analysis of the United States, 1980-2010.

BACKGROUND: Exceptional aging, defined as reaching age 85 years, shows geographic inequalities that may depend on local environmental conditions. Links between particulate pollution-a well-recognized environmental risk factor-and exceptional aging have not been investigated. OBJECTIVES: We conducted a nationwide analysis of ~28 million adults in 3,034 United States counties to determine whether local PM2.5 levels (particulate matter < 2.5 µm in aerodynamic diameter) affected the probability of becoming 85- to 94-year-olds or centenarians (100- to 104-year-olds) in 2010 for individuals who were 55-64 or 70-74 years old, respectively, in 1980. METHODS: We used population-weighted regression models including county-level PM2.5 from hybrid land-use regression and geostatistical interpolation, smoking, obesity, sociodemographic, and age-specific migration variables. RESULTS: On average, 2,295 and 71.4 per 10,000 of the 55- to 64- and 70- to 74-year-olds in 1980, respectively, remained in the 85- to 94- and 100- to 104-year-old population in 2010. An interquartile range (4.19 µg/m3) increase in PM2.5 was associated with 93.7 fewer 85- to 94-year-olds (p < 0.001) and 3.5 fewer centenarians (p < 0.05). These associations were nearly linear, were stable to model specification, and were detectable below the annual PM2.5 national standard. Exceptional aging was strongly associated with smoking, with an interquartile range (4.77%) increase in population who smoked associated with 181.9 fewer 85- to 94-year-olds (p < 0.001) and 6.4 fewer centenarians (p < 0.001). Exceptional aging was also associated with obesity rates and median income. CONCLUSIONS: Communities with the most exceptional aging have low ambient air pollution and low rates of smoking, poverty, and obesity. Improvements in these determinants may contribute to increasing exceptional aging. Citation: Baccarelli AA, Hales N, Burnett RT, Jerrett M, Mix C, Dockery DW, Pope CA III. 2016. Particulate air pollution, exceptional aging, and rates of centenarians: a nationwide analysis of the United States, 1980-2010. Environ Health Perspect 124:1744-1750; http://dx.doi.org/10.1289/EHP197.