Table 1 Demographic and clinical characteristics of ADHD children with and without PDMU
From: Influences of digital media use on children and adolescents with ADHD during COVID-19 pandemic
Characteristics | ADHD with PDMU (n = 82) | ADHD without PDMU (n = 110) | Statistical values | p |
|---|---|---|---|---|
Age (months) mean ± SD | 136.73 ± 27.69 | 127.85 ± 22.21 | t = − 2.46 | 0.02 |
Average living area (square meters) mean ± SD | 32.92 ± 43.15 | 32.50 ± 32.24 | Z = -0.39 | 0.69 |
Gender, n (%) | ||||
 Female | 24 (29.27) | 28 (25.45) | χ2 = 0.35 | 0.56 |
 Male | 58 (70.73) | 82 (74.55) |  |  |
ADHD subtypes, n (%) | ||||
 Inattentive | 66 (80.49) | 82 (74.54) | χ2 = 1.03 | 0.65 |
 Hyperactive-impulsive | 1 (1.22) | 2 (1.82) |  |  |
 Combined | 15 (18.29) | 26 (23.64) |  |  |
Treatment, n (%) | ||||
 With medication | 36 (43.90) | 57 (51.82) | χ2 = 1.18 | 0.28 |
Comorbidity, n (%) | ||||
 ODD | 42 (51.22) | 35 (31.82) | χ2 = 7.36 | 0.01 |
 Tics | 31 (37.80) | 26 (23.64) | χ2 = 4.52 | 0.03 |