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

Table 1.

Demographic characteristics among participants between different genders

Group Total Boys Girls P
n (%) 2452 (100.0) 1348 (55.0) 1104 (45.0)
Children age (years) (Mean ± SD) 5.25 ± 0.63 5.24 ± 0.64 5.25 ± 0.62 0.856
Age at pregnancy (years) (Mean ± SD) 27.70 ± 4.01 27.64 ± 4.00 27.77 ± 4.02 0.422
Premature, n (%) 0.001
Non-premature 2337 (95.3) 1220 (54.0) 59 (72.0)
Premature delivery 115 (4.7) 1040 (46.0) 23 (28.0)
Paternal education levels, n (%) 0.079
Junior high school and below 205 (8.4) 128 (9.5) 77 (7.0)
Senior high school 356 (14.5) 191 (14.2) 165 (14.9)
College degree and above 1766 (72.0) 954 (70.8) 812 (73.6)
Unknown 125 (5.1) 75 (5.6) 50 (4.5)
Maternal education levels, n (%) 0.222
Junior high school and below 266 (10.9) 154 (11.4) 112 (10.1)
Senior high school 320 (13.1) 180 (13.4) 140 (12.7)
College degree and above 1762 (71.9) 949 (70.4) 813 (73.6)
Unknown 104 (4.2) 65 (4.8) 39 (3.5)
Number of children in family, n (%) 0.106
One 1236 (50.8) 697 (52.2) 539 (49.0)
Two and more 1199 (49.2) 637 (47.8) 562 (51.0)
Overweight or obesity, n (%) < 0.001
Yes 217 (8.8) 142 (10.5) 75 (6.8)
No 2235 (91.2) 1206 (89.5) 1029 (93.2)
Screen time > 1 h, n (%)
Weekdays 457 (19.4) 270 (20.9) 187 (17.5) 0.040
Weekend 1130 (48.0) 647 (50.3) 483 (45.3) 0.015
Average 967 (39.4) 568 (44.7) 399 (37.6) < 0.001
ADHD symptoms, n (%) 82 (3.5) 59 (4.6) 23 (2.2) < 0.001

Note:The chi-square test (categorical variables) and t test (continuous variables) were used to test the distribution difference between boys and girls. The P-value is the statistical significance of the difference test