Table 1 Baseline demographic and health characteristics of COVID-19 positive and negative groups, stratified by age into children (5 to 11 years) and youths (12 to 20 years)

From: Risk of neuropsychiatric and related conditions associated with SARS-CoV-2 infection: a difference-in-differences analysis

 

Children

Youths

 

COVID-19 positive (N = 141,349)

COVID-19 negative (N = 441,790)

COVID-19 positive (N = 184,725)

COVID-19 negative (N = 445,524)

Mean (SD) age (years)

8·02 (2·03)

7·68 (2·02)

15·85 (2·48)

15·72 (2·46)

Sex

female

67200 (47·54%)

208647 (47·23%)

102352 (55·41%)

243311 (54·61%)

male

74147 (52·46%)

233128 (52·77%)

82340 (44·57%)

202124 (45·37%)

other/unknown

2 (0·00%)

15 (0·00%)

33 (0·02%)

89 (0·02%)

Race

Asian/PI

7147 (5·06%)

22394 (5·07%)

7103 (3·85%)

19679 (4·42%)

Black/AA

26028 (18·41%)

77109 (17·45%)

32121 (17·39%)

71179 (15·98%)

Hispanic

33470 (23·68%)

99570 (22·54%)

40774 (22·07%)

87388 (19·61%)

White

58446 (41·35%)

190066 (43·02%)

88475 (47·90%)

223170 (50·09%)

Multiple

2964 (2·10%)

11100 (2·51%)

2528 (1·37%)

7739 (1·74%)

other/unknown

13294 (9·41%)

41551 (9·41%)

13724 (7·43%)

36369 (8·16%)

Hospital

A

10267 (7·26%)

37518 (8·49%)

12060 (6·53%)

30577 (6·86%)

B

17983 (12·72%)

50147 (11·35%)

17151 (9·28%)

39349 (8·83%)

C

5102 (3·61%)

26782 (6·06%)

5533 (3·00%)

23306 (5·23%)

D

4693 (3·32%)

13587 (3·08%)

6934 (3·75%)

17011 (3·82%)

E

4154 (2·94%)

8044 (1·82%)

7091 (3·84%)

13052 (2·93%)

F

2316 (1·64%)

12643 (2·86%)

2147 (1·16%)

10349 (2·32%)

G

1971 (1·39%)

4023 (0·91%)

4222 (2·29%)

7944 (1·78%)

H

3199 (2·26%)

14347 (3·25%)

8144 (4·41%)

29957 (6·72%)

I

1918 (1·36%)

4976 (1·13%)

5159 (2·79%)

9732 (2·18%)

J

2823 (2·00%)

12582 (2·85%)

3572 (1·93%)

12225 (2·74%)

K

2065 (1·46%)

5921 (1·34%)

2885 (1·56%)

7978 (1·79%)

L

13633 (9·64%)

35395 (8·01%)

12489 (6·76%)

26245 (5·89%)

M

7800 (5·52%)

39868 (9·02%)

9978 (5·40%)

34533 (7·75%)

N

449 (0·32%)

1224 (0·28%)

2084 (1·13%)

3444 (0·77%)

O

8372 (5·92%)

32867 (7·44%)

7897 (4·28%)

24043 (5·40%)

P

5565 (3·94%)

15017 (3·40%)

9188 (4·97%)

22894 (5·14%)

Q

2970 (2·10%)

11581 (2·62%)

4149 (2·25%)

13249 (2·97%)

R

20044 (14·18%)

48775 (11·04%)

28030 (15·17%)

47454 (10·65%)

S

7534 (5·33%)

3709 (0·84%)

11109 (6·01%)

3666 (0·82%)

T

1253 (0·89%)

8849 (2·00%)

1298 (0·70%)

8494 (1·91%)

U

3978 (2·81%)

13696 (3·10%)

4729 (2·56%)

15025 (3·37%)

V

3936 (2·78%)

13460 (3·05%)

4514 (2·44%)

16603 (3·73%)

W

4010 (2·84%)

12124 (2·74%)

6674 (3·61%)

11213 (2·52%)

X

3726 (2·64%)

10243 (2·32%)

5953 (3·22%)

11553 (2·59%)

Y

1588 (1·12%)

4412 (1·00%)

1735 (0·94%)

5628 (1·26%)

BMI category

Non-obese

55731 (39·43%)

208023 (47·09%)

68050 (36·84%)

203291 (45·63%)

obese

72423 (51·24%)

190405 (43·10%)

96663 (52·33%)

192282 (43·16%)

Unknown

13195 (9·34%)

43362 (9·82%)

20012 (10·83%)

49951 (11·21%)

Clinical characteristics

ED visits

0

105627 (74·73%)

328426 (74·34%)

141487 (76·59%)

342382 (76·85%)

1

20116 (14·23%)

67784 (15·34%)

24140 (13·07%)

62116 (13·94%)

2+

15606 (11·04%)

45580 (10·32%)

19098 (10·34%)

41026 (9·21%)

Inpatient visits

0

132890 (94·02%)

413667 (93·63%)

170628 (92·37%)

405541 (91·03%)

1

4998 (3·54%)

19330 (4·38%)

8518 (4·61%)

26133 (5·87%)

2+

3461 (2·45%)

8793 (1·99%)

5579 (3·02%)

13850 (3·11%)

Outpatient visits

0

19623 (13·88%)

72984 (16·52%)

26547 (14·37%)

72841 (16·35%)

1

17936 (12·69%)

71995 (16·30%)

25188 (13·64%)

70350 (15·79%)

2+

103790 (73·43%)

296811 (67·18%)

132990 (71·99%)

302333 (67·86%)

PMCA index

0

106350 (75·24%)

326474 (73·90%)

139008 (75·25%)

322992 (72·50%)

1

22402 (15·85%)

71193 (16·11%)

27216 (14·73%)

71026 (15·94%)

2

12597 (8·91%)

44123 (9·99%)

18501 (10·02%)

51506 (11·56%)

Negative tests prior entry

0

84429 (59·73%)

337684 (76·44%)

121218 (65·62%)

348636 (78·25%)

1

31703 (22·43%)

69760 (15·79%)

36881 (19·97%)

65033 (14·60%)

2+

25217 (17·84%)

34346 (7·77%)

26626 (14·41%)

31855 (7·15%)

  1. PI Pacific Islander, AA Asian American, BMI Body Mass Index, ED Emergency Department, PMCA Pediatric Medical Complexity Algorithm.