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. 2016 Feb 19;124(9):1479–1486. doi: 10.1289/ehp.1510133

Table 3.

Associations between preterm births and particulate matter concentrations modeled at the 4 km × 4 km resolution by species and sources using chemical transport models in California.

Air pollution indicator Cases (n) Controls (n) IQR Adjusted OR (95% CI)a p-Value
UCD/CIT modeled concentrations at the 4 km × 4 km resolution, by fraction and species (years 2000–2008)
Primary PM0.1 395,654 710,316 1.389 1.021 (1.015, 1.028) < 0.01
OC in PM0.1 395,654 710,316 0.985 1.018 (1.012, 1.024) < 0.01
EC in PM0.1 395,654 710,316 0.131 1.044 (1.036, 1.052) < 0.01
SOA in PM0.1 395,654 710,316 0.061 1.130 (1.117, 1.143) < 0.01
Primary PM2.5 395,654 710,316 8.229 1.036 (1.029, 1.043) < 0.01
OC in PM2.5 395,655 710,316 3.699 1.020 (1.013, 1.027) < 0.01
EC in PM2.5 395,654 710,316 1.258 1.040 (1.033, 1.048) < 0.01
SOA in PM2.5 395,654 710,316 0.239 1.115 (1.102, 1.128) < 0.01
Ammonium in PM2.5 395,654 710,316 1.188 1.138 (1.126, 1.150) < 0.01
Nitrates in PM2.5 395,654 710,316 2.914 1.138 (1.128, 1.149) < 0.01
Sulfates in PM2.5 395,654 710,316 0.535 1.004 (1.000, 1.008) 0.05
UCD_P modeled concentrations at the 4 km × 4 km resolution, by species, in PM2.5 (years 2000–2006)
Potassium 294,860 522,199 0.053 1.013 (1.003, 1.023) < 0.01
Chromium 294,860 522,199 0.002 0.999 (0.996, 1.001) 0.31
Iron 294,860 522,199 0.190 0.980 (0.967, 0.994) < 0.01
Titanium 294,860 522,199 0.008 0.992 (0.984, 1.001) 0.09
Magnesium 294,860 522,199 0.004 0.998 (0.990, 1.005) 0.55
Strontium 294,860 522,199 0.001 0.979 (0.969, 0.989) < 0.01
Arsenic 294,860 522,199 0.001 0.999 (0.997, 1.000) 0.06
Calcium 294,860 522,199 0.048 0.965 (0.955, 0.975) < 0.01
Zinc 294,860 522,199 0.002 0.982 (0.976, 0.988) < 0.01
UCD_P modeled concentrations at the 4 km × 4 km resolution, by fraction and sources (years 2000–2006)
Onroad gasoline PM0.1 294,860 522,199 0.083 1.107 (1.091, 1.123) < 0.01
Onroad diesel PM0.1 294,860 522,199 0.069 1.078 (1.066, 1.091) < 0.01
Commercial meat cooking PM0.1 294,860 522,199 0.122 1.069 (1.058, 1.081) < 0.01
Wood burning PM0.1 294,860 522,199 0.272 0.982 (0.975, 0.989) < 0.01
Onroad gasoline PM2.5 294,860 522,199 0.386 1.091 (1.077, 1.106) < 0.01
Onroad diesel PM2.5 294,860 522,199 0.397 1.059 (1.049, 1.070) < 0.01
Commercial meat cooking PM2.5 294,860 522,199 1.084 1.041 (1.033, 1.050) < 0.01
Wood burning PM2.5 294,860 522,199 1.811 0.985 (0.977, 0.993) < 0.01
Unit is micrograms per cubic meter. aOdds ratios were estimated using conditional logistic regression models, adjusted for race/ethnicity and educational level using categorical variables and for maternal age and median household income at census block–group level using polynomial functions. Odds ratios are expressed per interquartile range increase in exposure.