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. 2023 Jul 14;23:361. doi: 10.1186/s12887-023-04130-x

Table 2.

Distribution characteristics of ADHD symptoms among preschool children Note:The chi-square test (categorical variables) and t test (continuous variables) were used to test the distribution difference

Group Non-ADHD symptoms ADHD symptoms P
Total, n (%) 2260 (96.5) 82 (3.5)
Screen time > 1 h in weekdays, n (%) 0.001
No 1800 (81.6) 54 (66.7)
Yes 407 (18.4) 27 (33.3)
Screen time > 1 h in weekend, n (%) 0.045
No 1157 (52.7) 34 (41.5)
Yes 1038 (47.3) 48 (58.5)
Average screen time > 1 h, n (%) 0.003
No 1297 (59.5) 35 (43.2)
Yes 884 (40.5) 46 (56.8)
Children age (years) (Mean ± SD) 0.060
5.24 ± 0.63 5.11 ± 0.67
Gender, n (%) 0.001
Boys 1220 (54.0) 59 ( 72.0)
Girls 1040 (46.0) 23 (28.0)
Age at pregnancy (years) (Mean ± SD) 0.104
27.71 ± 3.95 26.99 ± 4.00
Premature, n (%) 0.922
Non-premature 2155 (95.4) 78 (95.1)
Premature delivery 105 (4.6) 4 (4.9)
Paternal education levels, n (%) 0.030
Junior high school and below 163 (7.3) 13 (15.9)
Senior high school 323 (14.3) 13 (15.9)
College degree and above 1657 (73.3) 52 (63.4)
Unknown 116 (5.1) 4 (4.9)
Maternal education levels, n (%) 0.043
Junior high school and below 213 (9.4) 15 (18.3)
Senior high school 292 (12.9) 12 (14.6)
College degree and above 1664 (73.6) 51 (62.2)
Unknown 91 (4.0) 4 (4.9)
Number of children in family, n (%) 0.628
One 1145 (50.9) 44 (53.7)
Two and more 1103 (49.1) 38 (46.3)
Overweight or obesity, n (%) 0.095
No 1749 (77.4) 57 (69.5)
Yes 511 (22.6) 25 (30.5)

Note:The chi-square test (categorical variables) and t test (continuous variables) were used to test the distribution difference.