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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: Environ Int. 2014 Dec 30;76:71–77. doi: 10.1016/j.envint.2014.12.009

Table 4.

Associations between air pollutant PM10 and risk of preterm by exposure window

PM10 (µg/m3)
(U.S. NAAQS
level)
Controls Preterm Moderate preterm Very preterm Medically indicated
preterm
Spontaneous preterm

Cases ORa(95%CI) Cases ORa(95%CI) Cases ORa(95%CI) Cases ORa(95%CI) Cases ORa(95%CI)
Entire pregnancy
  <150 5687 419 1 355 1 64 1 111 1 308 1
  ≥150 2605 258 1.48(1.22–1.81) 216 1.48(1.20–1.84) 42 1.45(0.91–2.33) 74 1.80(1.24–2.62) 184 1.37(1.09–1.72)
1st trimester
  <150 4591 353 1 295 1 58 1 97 1 256 1
  ≥150 3701 324 1.17(0.86–1.60) 276 1.30(0.92–1.83) 48 0.71(0.35–1.44) 88 1.06(0.59–1.88) 236 1.25(0.87–1.79)
2nd trimester
  <150 4102 343 1 289 1 54 1 93 1 250 1
  ≥150 4190 334 0.99(0.75–1.31) 282 1.09(0.80–1.48) 52 0.67(0.35–1.28) 92 1.43(0.84–2.44) 242 0.87(0.64–1.20)
3rd trimester
  <150 4520 392 1 322 1 70 1 103 1 289 1
  ≥150 3772 285 0.75(0.56–0.99) 249 0.92(0.67–1.26) 36 0.29(0.16–0.52) 82 1.02(0.58–1.79) 203 0.65(0.47–0.90)
Last 4 weeks before delivery
  <150 5068 400 1 340 1 60 1 111 1 286 1
  ≥150 3224 277 1.19(0.94–1.49) 231 1.11(0.86–1.42) 46 1.70(0.96–3.04) 74 1.07(0.69–1.64) 206 1.23(0.94–1.61)
Last 6 weeks before delivery
  <150 4916 397 1 340 1 57 1 103 1 294 1
  ≥150 3376 280 1.08(0.85–1.37) 231 0.96(0.74–1.24) 49 2.03(1.11–3.72) 82 1.40(0.88–2.21) 198 0.99(0.75–1.30)
Last 8 weeks before delivery
  <150 4757 381 1 324 1 57 1 104 1 277 1
  ≥150 3535 296 1.15(0.88–1.48) 247 1.06(0.80–1.40) 49 1.73(0.89–3.33) 81 1.14(0.70–1.87) 215 1.15(0.85–1.55)

Abbreviations: PM, particulate matter; OR, odds ratio; CI: confident interval

a

Adjusted for maternal age (<25, 25–35, >35 years), parity (primiparous, multiparous), active smoking during pregnancy (yes, no), passive smoking during pregnancy (yes, no), season of conception (fall/winter, summer/spring), prehistory of preterm (yes, no), education level (<college, ≥college), family monthly income per capita (<3000, ≥3000RMB), cooking fuel (gas/electricity, coal/biomass, others), and daily average temperature