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