Table 5

Estimating the percentage change in risk (95% CI) per 10 µg/m3 increase in pollutant: single pollutant regression models*

Daily mean PollutantSubtypes of ischaemic stroke
TACI (number of cases=187), per cent change (95% CI)PACI (number of cases=520), per cent change (95% CI)POCI (number of cases=193), per cent change (95% CI)LACI (number of cases=407), per cent change (95% CI)
Single pollutant regression model
PM2.55.9 (−15.9 to 33.3)−9.6 (−22.1 to 5.0)−9.7 (−27.5 to 12.5)−5.7 (−20.3 to 11.5)
PM102.5 (−12.4 to 19.9)−4.8 (−13.9 to 5.3)−7.4 (−20.9 to 8.3)−4.4 (−14.6 to 7.1)
O33.1 (−9.5 to 17.4)−1.2 (−8.7 to 6.9)5.5 (−6.5 to 18.9)−4.8 (−12.8 to 4.0)
NO2−6.2 (−18.8 to 8.4)−3.6 (−11.9 to 5.4)1.3 (−11.7 to 16.2)−0.8 (−10.1 to 9.5)
NOX−1.0 (−4.9 to 3.1)−0.7 (−3.5 to 2.3)−0.9 (−5.0 to 3.5)−0.5 (−3.6 to 2.7)
  • *The conditional logistic regression model fits the pollutants at lag 0 and adjusts for two natural cubic splines (df=2) for temperature (lags 0–1 and 2–6), two natural cubic splines (df=2) for humidity (lags 0–1 and 2–6), public holidays and a sine/cosine annual cycle.

  • LACI, lacunar infarct; NO2, nitrogen dioxide; NOX, NO2+nitrogen oxide; O3, ozone; PACI, partial anterior circulation infarct; PM10, particulate matter <10 µm in diameter; PM2.5, particulate matter <2.5 µm in diameter; POCI, posterior circulation infarct; TACI, anterior circulation infarct.