Table 2 Six environmental factors included in the prediction model.

From: Indoor PM2.5 exposure affects skin aging manifestation in a Chinese population

Variables

Correlation with measured PM2.5

Prediction model

 

coefficient

P value

Slope

p-value

R2

Constant

  

90.65

<0.0001

0.6568

Pack-year

0.47

0.0093

0.42

0.0148

 

Passive smoking

0.40

0.0289

24.40

0.0013

 

Use of solid fuels for cooking

0.28

0.1285

21.55

0.0100

 

Time length of air conditioner in summer

−0.37

0.0423

−2.53

0.0195

 

Ventilation condition in bedrooms

−0.26

0.1667

−22.64

0.0379

 

Distance to major road

0.07

0.7162

−10.77

0.0347

 

Use of air conditioner

−0.29

0.1189

—

—

 

Good ventilation condition in kitchen

−0.11

0.5775

—

—

 

Outdoor PM2.5

0.62

0.0002

—

—

 
  1. The prediction model equation with final prediction variables are the following: PM2.5 exposure = f(pack-years, passive smoking, use of solid fuels for cooking, time length of air conditioner in summer, ventilation condition in bedrooms, distance to major road).
Back to article page