Table 2 Linear regression analysis results for the association between white matter hyperintensity and air pollution.

From: Annual exposure to PM10 is related to cerebral small vessel disease in general adult population

Air pollutants (IQR)b

Volume of white matter hyperintensitya

Unadjusted

Model 1c

Model 2d

β

95% CI

p

β

95% CI

p

β

95% CI

p

PM10 (11.6 μg/m3)

0.034

 − 0.019, 0.087

0.205

0.082

0.038, 0.125

 < 0.001

0.060

0.013, 0.107

0.013

NO2 (15.0 ppb)

− 0.012

− 0.061, 0.037

0.628

− 0.029

− 0.069, 0.011

0.157

− 0.026

− 0.069, 0.017

0.228

SO2 (1.8 ppb)

− 0.027

− 0.072, 0.019

0.248

− 0.009

− 0.046, 0.029

0.654

− 0.010

− 0.050, 0.030

0.622

CO (0.17 ppm)

0.008

− 0.038, 0.055

0.726

− 0.012

− 0.051, 0.026

0.524

− 0.005

− 0.046, 0.037

0.821

  1. IQR, interquartile range; CI, confidence interval; PM10, particulate matter ≤ 10 μm in diameter; NO2, nitrogen dioxide; SO2, sulfur dioxide; CO, carbon monoxide.
  2. aVolume of white matter hyperintensity was square root-transformed to achieve normality.
  3. bThe β coefficients and standard error in each air pollutant was scaled to the interquartile range for each pollutant, respectively (11.6 μg/m3 for PM10, 15.0 ppb for NO2, 1.8 ppb for SO2, and 0.17 ppm for CO).
  4. cModel 1 was adjusted for age, sex, body mass index.
  5. dModel 2 was adjusted for Model 1 plus hypertension, diabetes mellitus, and dyslipidemia.
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