Skip to main content

Table 5 Multivariable analysis: Logistic regression taking the presence/absence of acne as the dependent variable

From: Association between exposure to ambient air pollution and occurrence of inflammatory acne in the adult population

Variable

p

aOR

95% CI

Gender (females vs males*)

0.001

4.39

1.80–10.68

Age

< 0.001

1.05

1.03–1.08

Use of hydrating cream (yes vs no*)

0.002

4.30

1.70–10.85

Passive smoking (yes vs no*)

0.069

1.64

0.96–2.79

Working near a power plant (yes vs no*)

0.039

3.07

1.06–8.88

NO2 exposure categories (vs no exposure*)

0.105

  

Mild

0.149

2.28

0.74–7.02

Moderate

0.436

1.53

0.53–4.43

Severe

0.022

8.24

1.36–49.90

Number of family members with acne or history of acne

0.035

1.48

1.03–2.13

Skin type

< 0.001

  

Normal

 

1

 

Dry

< 0.001

0.20

0.09–0.44

Mixed

0.103

0.41

0.14–1.20

Oily

0.149

0.61

0.31–1.20

  1. *Reference group; CI Confidence Interval; aOR Adjusted odds ratio; Nagelkerke R2 = 35.6%; numbers in bold indicate significant p-values. Variables entered in the model: gender, age, use of hydrating cream, passive smoking, working near a power plant, NO2 exposure categories, number of family members with acne or history of acne, skin type