Table 3.
Reported symptoms at the time of test, and physical and mental health before test, by SARS-CoV-2 status, overall and stratified by age group
|
All participants |
Participants aged 11–14 years |
Participants aged 15–17 years |
|||||
|---|---|---|---|---|---|---|---|
| Tested positive for SARS-CoV-2 (n=3065) | Tested negative for SARS-CoV-2 (n=3739) | Tested positive for SARS-CoV-2 (n=1244) | Tested negative for SARS-CoV-2 (n=1609) | Tested positive for SARS-CoV-2 (n=1821) | Tested negative for SARS-CoV-2 (n=2130) | ||
| No reported symptoms | 1981 (64·6%) | 3430 (91·7%) | 830 (66·7%) | 1450 (90·1%) | 1151 (63·2%) | 1980 (93·0%) | |
| 1 symptom | 60 (2·0%) | 35 (0·9%) | 32 (2·6%) | 22 (1·4%) | 28 (1·5%) | 13 (0·6%) | |
| 2 symptoms | 88 (2·9%) | 43 (1·2%) | 45 (3·6%) | 29 (1·8%) | 43 (2·4%) | 14 (0·7%) | |
| 3 symptoms | 101 (3·3%) | 52 (1·4%) | 50 (4%) | 29 (1·8%) | 51 (2·8%) | 23 (1·1%) | |
| 4 symptoms | 109 (3·6%) | 36 (1·0%) | 56 (4·5%) | 15 (0·9%) | 53 (2·9%) | 21 (1·0%) | |
| ≥5 symptoms | 726 (23·7%) | 143 (3·8%) | 231 (18·6%) | 64 (4·0%) | 495 (27·2%) | 79 (3·7%) | |
| Specific symptoms | |||||||
| Fever | 548 (17·9%) | 148 (4·0%) | 195 (15·7%) | 76 (4·7%) | 353 (19·4%) | 72 (3·4%) | |
| Chills | 461 (15·0%) | 91 (2·4%) | 154 (12·4%) | 40 (2·5%) | 307 (16·9%) | 51 (2·4%) | |
| Persistent cough | 476 (15·5%) | 143 (3·8%) | 149 (12·0%) | 67 (4·2%) | 327 (18%) | 76 (3·6%) | |
| Tiredness | 696 (22·7%) | 125 (3·3%) | 233 (18·7%) | 57 (3·5%) | 463 (25·4%) | 68 (3·2%) | |
| Shortness of breath | 354 (11·5%) | 56 (1·5%) | 83 (6·7%) | 19 (1·2%) | 271 (14·9%) | 37 (1·7%) | |
| Loss of smell | 631 (20·6%) | 55 (1·5%) | 210 (16·9%) | 24 (1·5%) | 421 (23·1%) | 31 (1·5%) | |
| Unusually hoarse voice | 145 (4·7%) | 41 (1·1%) | 42 (3·4%) | 16 (1·0%) | 103 (5·7%) | 25 (1·2%) | |
| Unusual chest pain | 280 (9·1%) | 57 (1·5%) | 71 (5·7%) | 13 (0·8%) | 209 (11·5%) | 44 (2·1%) | |
| Unusual abdominal pain | 138 (4·5%) | 44 (1·2%) | 55 (4·4%) | 21 (1·3%) | 83 (4·6%) | 23 (1·1%) | |
| Diarrhoea | 166 (5·4%) | 41 (1·1%) | 52 (4·2%) | 20 (1·2%) | 114 (6·3%) | 21 (1%) | |
| Headaches | 806 (26·3%) | 178 (4·8%) | 306 (24·6%) | 86 (5·3%) | 500 (27·5%) | 92 (4·3%) | |
| Confusion, disorientation, or drowsiness | 225 (7·3%) | 29 (0·8%) | 53 (4·3%) | 9 (0·6%) | 172 (9·4%) | 20 (0·9%) | |
| Unusual eye-soreness | 185 (6·0%) | 30 (0·8%) | 56 (4·5%) | 13 (0·8%) | 129 (7·1%) | 17 (0·8%) | |
| Skipping meals | 360 (11·7%) | 67 (1·8%) | 103 (8·3%) | 23 (1·4%) | 257 (14·1%) | 44 (2·1%) | |
| Dizziness or light-headedness | 462 (15·1%) | 86 (2·3%) | 133 (10·7%) | 33 (2·1%) | 329 (18·1%) | 53 (2·5%) | |
| Sore throat | 687 (22·4%) | 200 (5·4%) | 241 (19·4%) | 98 (6·1%) | 446 (24·5%) | 102 (4·8%) | |
| Unusually strong muscle pains | 338 (11·0%) | 45 (1·2%) | 99 (8·0%) | 17 (1·1%) | 239 (13·1%) | 28 (1·3%) | |
| Earache or ringing in ears | 155 (5·1%) | 41 (1·1%) | 44 (3·5%) | 11 (0·7%) | 111 (6·1%) | 30 (1·4%) | |
| Raised welts on skin or swelling | 35 (1·1%) | 7 (0·2%) | 14 (1·1%) | 3 (0·2%) | 21 (1·2%) | 4 (0·2%) | |
| Red or purple sores or blisters on feet | 21 (0·7%) | 9 (0·2%) | 7 (0·6%) | 5 (0·3%) | 14 (0·8%) | 4 (0·2%) | |
| Other | 73 (2·4%) | 17 (0·5%) | 29 (2·3%) | 13 (0·8%) | 44 (2·4%) | 4 (0·2%) | |
| Health before test* | |||||||
| Very poor or poor | 66 (2·2%) | 81 (2·2%) | 14 (1·1%) | 22 (1·4%) | 52 (2·9%) | 59 (2·8%) | |
| Okay | 670 (21·9%) | 800 (21·4%) | 223 (17·9%) | 281 (17·5%) | 447 (24·5%) | 519 (24·4%) | |
| Good or very good | 2329 (76·0%) | 2858 (76·4%) | 1007 (80·9%) | 1306 (81·2%) | 1322 (72·6%) | 1552 (72·9%) | |
| Previous mental health* | |||||||
| Very poor or poor | 279 (9·1%) | 362 (9·7%) | 60 (4·8%) | 84 (5·2%) | 219 (12%) | 278 (13·1%) | |
| Okay | 901 (29·4%) | 1065 (28·5%) | 265 (21·3%) | 341 (21·2%) | 636 (34·9%) | 724 (34%) | |
| Good or very good | 1885 (61·5%) | 2312 (61·8%) | 919 (73·9%) | 1184 (73·6%) | 966 (53·1%) | 1128 (53·0%) | |
Data are n (%).
*
Participants were asked to rate their physical and mental health before their SARS-CoV-2 test in two separate questions using a five-category Likert scale; for analysis, we recorded these variables into three categories (very poor and poor, okay, and good and very good).