Skip to main content
. 2021 Nov 8;13(11):2239. doi: 10.3390/v13112239

Table 1.

Participant demographics 1.

Other Respiratory
Infections (Not COVID-19) n = 11
COVID-19
Infections
n = 22
Indeterminate
n = 5
p Value 1
Age (mean ± STDEV) 55 ± 16 55 ± 15 57 ± 11 0.9249
Sex (% female) 8 (73%) 11 (50%) 3 (60%) 0.2783
BMI (kg/m2) 24.0 ± 2.9 25.0 ± 3.6 24.5 ± 2.3 0.4172
Health Conditions (frequency)
Asthma 1 (9%) 1 (5%) 1 (20%) -
COPD (including emphysema and chronic bronchitis) 1 (9%) 0 (0%) 0 (0%) -
Other lung disease 0 (0%) 1 (5%) 0 (0%) -
Diabetes 0 (0%) 3 (14%) 0 (0%) -
Hypertension 1 (9%) 1 (5%) 1 (20%) -
Heart disease 0 (0%) 2 (9%) 0 (0%) -
Cancer 2 (18%) 2 (9%) 0 (0%) -
Autoimmune condition 1 (9%) 1 (5%) 1 (20%) -
Medications
Number of medications (mean ± STDEV) 1 ± 2 2 ± 2 1 ± 1 0.2049
Symptoms (frequency)
Cough 6 (55%) 13 (59%) 2 (40%) -
Shortness of breath 4 (36%) 9 (41%) 1 (20%) -
Chest pain 3 (27%) 9 (41%) 2 (40%) -
Fever 3 (27%) 12 (55%) 1 (20%) -
Feeling generally unwell 9 (82%) 21 (95%) 2 (40%) -
Abnormally tired 7 (64%) 20 (91%) 2 (40%) -
New confusion 4 (36%) 1 (5%) 1 (20%) -
New generalized muscle aches and pains 5 (45%) 16 (73%) 2 (40%) -
New joint pain 3 (27%) 5 (23%) 2 (40%) -
Earache/infection 0 (0%) 1 (5%) 0 (0%) -
Headache 6 (55%) 14 (64%) 1 (20%) -
Runny/stuffy nose 7 (64%) 7 (32%) 2 (40%) -
Sinus pain 2 (18%) 4 (18%) 1 (20%) -
Sore/scratchy throat 7 (64%) 10 (45%) 2 (40%) -
Loss of appetite 4 (36%) 8 (36%) 2 (40%) -
Loss of taste/smell 2 (18%) 11 (50%) 1 (20%) -
Duration of Symptoms
No symptoms—1 week 4 (36%) 3 (14%) 1 (20%) -
2–4 weeks 3 (27%) 11 (50%) 4 (80%) -
4 or more weeks 4 (36%) 8 (36%) 0 -
Diagnosis
PCR test for SARS-CoV-2
performed
0 (0%) 15 (68%) 0 (0%) -
Told by a health care professional that they had SARS-CoV-2/COVID-19 without a PCR test 1 (8%) 5 (25%) 0 (0%) -

1 Statistical comparisons were made between ‘other respiratory infections’ and ‘COVID-19 infections’ groups only, since the ‘indeterminate’ group was not used in subsequent analyses. Student’s unpaired parametric t-test was used to compare age and BMI, which were normally distributed. Sex distribution was measured by Fisher’s exact test to analyze a 2 × 2 contingency table. Differences in the number of medications, which was not normally distributed, was measured using an unpaired non-parametric test not assuming Gaussian distribution.