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. 2021 Oct 2;18(19):10397. doi: 10.3390/ijerph181910397

Table 3.

Sleep parameters in adolescents aged 12–14 with IA verified with Chen Internet Addiction Scale (CIAS).

Sleep Parameters Age 12–14
Boys (n = 1009) Girls (n = 1219)
AIU
n = 575
MIU
n = 376
IA
n = 58
p d H AIU
n = 593
MIU
n = 534
IA
n = 92

p
d H
Bedtime weekdays
(in hours)
23
(22–23)
23
(22–24)
23.5
(23–25)
<0.001 0.478 56.36 23
(22–23)
23
(23–24)
23
(22–24)
<0.001 0.411 51.16
Waking up weekdays
(in hours)
7
(7–8)
7
(7–9)
8
(7–9)
0.008 0.176 9.69 7
(6–8)
7
(6–9)
7
(6–9)
0.016 0.144 8.28
Total sleep weekdays
(in hours)
8.5
(7.7–9.5)
8.3
(7.3–9.3)
8.3
(7.3–9.1)
0.004 0.193 11.22 8.3
(7.4–9.2)
8.0
(7.0–9.0)
7.8
(6.5–9.3)
0.003 0.179 11.65
Sleep onset latency
(in minutes)
10
(7–20)
10
(10–30)
15
(8–30)
0.017 0.164 8.15 12
(10–20)
15
(10–30)
15
(10–30)
<0.001 0.222 15.94
Frequency of night awakenings
(in points)
0
(0–1)
1
(0–1)
1
(0–2)
0.014 0.163 8.61 1
(0–1)
1
(0–2)
1
(0–2)
<0.001 0.368 41.45
PDSS score
(in points)
8
(5–12)
11
(8–15)
14
(10–18)
<0.001 0.696 111.53 10
(7–14)
14
(10–17)
17
(14–20)
<0.001 0.752 151.74

Note: Time is expressed in 24–hour clock time. AIU—adaptive Internet use; MIU—maladaptive Internet use; IA—Internet addiction. Data are presented as medians (25–75% quartiles). The Kruskal–Wallis H test was used. d—effect size (Cohen’s d) for Kruskal–Wallis H test calculated according to recommendations Fritz, Morris & Richler [45] with the public domain software https://www.psychometrica.de/effect_size.html (accessed on 2 October 2021).