TABLE 4.
Wore a facemask in public a N = 252 | Never wore a facemask in one public place N = 13 | Never wore a facemask in two or more public places N = 17 | p-value b | |
---|---|---|---|---|
Age group | 0.360 | |||
0–17 years | 64 (89) | 6 (8) | 2 (3) | |
18–49 years | 132 (89) | 5 (3) | 11 (7) | |
Above 49 years | 56 (90) | 2 (3) | 4 (6) | |
Sex | 0.132 | |||
Male | 87 (85) | 8 (8) | 7 (7) | |
Female | 164 (92) | 5 (3) | 10 (6) | |
Exempt from wearing a facemask because of PCD | 0.004 | |||
No | 161 (90) | 10 (6) | 7 (4) | |
Yes, personal exemption | 0 | 1 (50) | 1 (50) | |
Yes, people with PCD in my region are exempt | 29 (91) | 1 (3) | 2 (6) | |
I don’t know | 61 (91) | 0 | 6 (9) | |
Beliefs about wearing a facemask (disagree or strongly disagree) | ||||
Facemasks protect me from getting infected with COVID-19 | 23 (85) | 1 (4) | 3 (11) | 0.395 |
Facemasks protect me from spreading COVID-19 to others | 8 (73) | 1 (10) | 2 (18) | 0.100 |
When I wear a facemask, my cough worsens | 104 (90) | 5 (4) | 7 (6) | 1.000 |
Uncomfortable to wear a facemask because of cough, runny nose, or other reason (n = 274) | 0.780 | |||
No | 124 (91) | 7 (5) | 6 (4) | |
Yes | 124 (91) | 5 (4) | 8 (6) | |
Self-reported FEV1 at study entry (n = 192) | 1.000 | |||
FEV1 a above 40% predicted | 151 (87) | 11 (6) | 12 (7) | |
FEV1 a below 40% predicted | 16 (89) | 1 (6) | 1 (6) | |
Difficult to communicate with others when they wear a facemask | 0.214 | |||
No | 194 (89) | 12 (6) | 11 (5) | |
Yes | 58 (89) | 1 (2) | 6 (9) | |
Affordability of facemasks | 0.727 | |||
I cannot afford as many as I need | 9 (100) | 0 | 0 | |
Facemasks are heavy on my budget | 44 (86) | 4 (8) | 3 (6) | |
Facemasks fit in my budget | 163 (92) | 8 (4) | 7 (4) | |
Country specific facemask recommendation | <0.001 | |||
Facemasks required in whole country | 227 (93) | 12 (5) | 5 (2) | |
Facemasks required in parts of country | 20 (77) | 0 | 6 (23) | |
Facemasks not required | 5 (42) | 1 (8) | 6 (50) |
a Busy street, public transport, Bus-/train station grocery store, clothes store, restaurants, cinemas, hairdressers, physiotherapists, fitness studios, bank-/post offices.
Fischer’s exact if cell-counts were less than 10.
FEV1: forced exhaled volume in one second