Table 5

Regression models on the log value of indoor PM2.5 level and its related influential factors

Model 1Model 2Model 3
Coeff*tpCoeff*tpCoeff*tp
Log (outdoor PM2.5 level)0.524.430.0000.5415.060.0000.5714.840.000
ASD0.416.450.0000.417.300.000
OD−0.03−0.570.568
Restaurants or bars0.296.670.0000.296.680.0000.307.910.000
Interaction item 1−0.20−3.050.002−2.0−3.130.002
Wuhan−0.31−0.900.371
Xi'an0.130.240.814
Kunming−0.25−0.670.502
Guiyang0.411.040.299
Interaction item 2§0.391.280.202
Interaction item 3−0.11−0.200.845
Interaction item 4**0.200.630.531
Interaction item 5††−0.43−1.130.258
R20.510.490.41
  • * Here are all standardised coefficients.

  • Restaurants were coded as ‘0’ (referent group) and bars were code as ‘1’.

  • Interaction item of type of venues (restaurants or bars) with ASD.

  • § Interaction items of Wuhan and outdoor PM2.5 levels.

  • Interaction items of Xi'an and outdoor PM2.5 levels.

  • ** Interaction items of Kunming and outdoor PM2.5 levels.

  • †† Interaction items of Guiyang and outdoor PM2.5 levels.

  • ASD, active smokers density, number of smokers per 100 m3; OD, occupants density, number of occupants per 100 m3.