Skip to main content
letter
. 2020 Jun 26;33(4):e13567. doi: 10.1111/dth.13567

TABLE 1.

Logistic regression parameters for the most common inconveniences due to the use of face masks as an effect a

Variable Difficulty in breathing Warming/sweating Glasses misting up Slurred speech Itch
P value OR 95% Confidence P value OR 95% Confidence P value OR 95% Confidence P value OR 95% Confidence P value OR 95% Confidence
Surgical mask .0000 0.4216 (0.3101, 0.5731) .0006 0.5978 (0.4454, 0.8024) .0000 0.1025 (0.0701, 0.1501) .0000 0.1684 (0.1087, 0.2610) .0000 0.0382 (0.0140, 0.1044)
Cloth mask .0000 1.5552 (1.3364, 1.8098) .0001 1.3139 (1.1428, 1.5105) .0000 1.9178 (1.6562, 2.2207) .0000 1.8648 (1.5711, 2.2133) .0000 2.9902 (2.2845, 3.9140)
Respirators N95 + FFP .5140 0.9460 (0.8006, 1.1177) .3176 0.9215 (0.7851, 1.0817) .0000 1.6533 (1.3826, 1.9772) .0857 1.1538 (0.9801, 1.3582) .3209 0.8941 (0.7169, 1.1152)
a

A logistic regression for the dependent variables (inconveniences linked to the mask wearing), establishing the crucial impacting factors (masks types as independent variables) and their odds ratios (ORs) was performed. The P values were considered significant if P < .05 (bold). FFP, filtering facepiece.