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. 2012 Dec 22;12:1106. doi: 10.1186/1471-2458-12-1106

Table 1.

Personal characteristics and characteristics of online behaviors of the study population of 5,122 Shanghai adolescents

Variables N Percentage (%) Internet use %(Nusing internet/ Nwhole)c Total Scorea(mean ± SD) Internet addictionb%(Ninternet addiction/ Nwhole)d
Gender (missing n=8)
 Female (ref.)
2580
50.4%
95.1% (2453 / 2580)
117.0 ± 38.1
6.4% (164 / 2580)
 Male
2534
49.6%
92.6% (2347 / 2534)**e
122.4 ± 43.5***e
11.3% (285 / 2534)***e
Grade (missing n=1)
 Junior high school students (ref.)
  1915
37.4%
92.6% (1774 / 1915)
110.3 ± 42.4
7.1% (135 / 1915)
 Senior high school students
  3206
62.6%
94.6% (3033 / 3206)**
125.3 ± 39.0***
9.8% (315 / 3206)**
School type (missing n=2)
 
 Junior high school (ref.)
  1907
37.2%
92.7% (1768 / 1907)
110.4 ± 42.3
7.1% (135 / 1907)
 Key senior high school
  1096
21.4%
94.5% (1036 / 1096)
120.2 ± 37.7***
6.1% (67 / 1096)
 Ordinary senior high school
  1102
21.5%
93.3% (1028 / 1102)
122.9 ± 40.9***
9.4% (104 / 1102)*
 Vocational senior high school
  1015
19.8%
96.0% (974 / 1015)*
133.1 ± 37.3***
14.2% (144 / 1015)***
Adolescent monthly money spending (missing n=9)
 
 < 100 RMB (ref.)
  3028
59.1%
92.6% (2805 / 3028)
112.2 ± 41.1
5.6% (168 / 3028)
 100~300 RMB
  1373
26.8%
95.7% (1314 / 1373)***
128.9 ± 38.0***
12.5% (172 / 1373)***
 ≥300 RMB
  712
13.9%
95.7% (681 / 712)***
133.5 ± 38.3***
15.3% (109 / 712)***
Residential or commuter students (missing n=4)
 
 Commuter students (ref.)
  4667
91.1%
93.7% (4372 / 4667)
119.2 ± 41.3
8.7% (407 / 4667)
 Residential students
  451
8.8%
96.0% (433 / 451)*
125.2 ± 35.6**
9.5% (43 / 451)
Academic achievement (missing n=16)
 
 Very good (ref.)
  324
6.3%
92.3% (299 / 324)
113.1 ± 42.2
4.0% (13 / 324)
 Relatively good
  1386
27.1%
94.4% (1308 / 1386)
112.9 ± 38.3
5.6% (78 / 1386)
 General
  2835
55.4%
94.6% (2682 / 2835)
122.3 ± 39.4***
8.9% (253 / 2835)***
 Relatively &very bad
  561
11.0%
89.7% (503 / 561)
126.8 ± 50.7***
18.9% (106 / 561)***
Main purpose of using internet (missing n=15)
 
 Academic learning (ref.)
  720
14.1%
100%
109.3 ± 26.8
1.4% (10 / 720)
 Only browsing news or emails
  881
17.2%
100%
117.3 ± 25.7***
2.5% (22 / 881)
 Playing games
  1003
19.6%
100%
140.7 ± 28.6***
20.1% (202 / 1003)***
 Real-time chatting
  667
13.0%
100%
132.5 ± 24.6***
8.1% (54 / 667)***
 Wandering aimlessly online
  1546
30.2%
100%
128.9 ± 29.2***
10.2% (158 / 1546)***
Place of using internet (missing n=24)
 
 School (ref.)
  314
6.1%
100%
115.2 ± 29.4
4.5% (14 / 314)
 Residences of classmates or relatives
  705
13.8%
100%
120.7 ± 27.6*
5.4% (38 / 705)
 Home
  3586
70.0%
100%
128.5 ± 29.4***
10.3% (369 / 3586)**
 Internet bar
  203
4.0%
100%
137.6 ± 25.9***
14.3% (29 / 203)***
Total hours online for a whole week (missing n=16)
 
 <7 hours (ref.)
  2812
54.9%
100%
117.7 ± 27.7
4.1% (114 / 2812)
 7~14 hours
  970
18.9%
100%
133.2 ± 26.6***
11.8% (114 / 970)***
 14~21 hours
  414
8.1%
100%
140.9 ± 24.1***
15.5% (64 / 414)***
 21~28 hours
  242
4.7%
100%
145.8 ± 23.9***
22.3% (54 / 242)***
 >28 hours
  378
7.4%
100%
151.1 ± 26.9***
27.3% (103 / 378)***
Hours online per weekday (missing n=21)
 
 ≤2 hours (ref.)
  3390
70.5%
100%
121.9 ± 29.1
6.9%(235/3390)
 2~4 hours
  756
15.7%
100%
134.3 ± 24.8***
10.6%(80/756)**
 4~6 hours
  357
7.4%
100%
139.5 ± 26.9***
17.1%(61/357)***
 6~8 hours
  113
2.3%
100%
143.0 ± 28.0***
23.0%(26/113)***
 ≥8 hours
  195
4.0%
100%
151.4 ± 26.7***
24.2%(47/195)***
Hours online on each Saturday/Sunday (missing n=17)
 
 ≤2 hours (ref.)
  1835
35.8%
100%
114.5 ± 28.1
3.4% (63 / 1835)
 2~4 hours
  1457
28.5%
100%
125.6 ± 25.8***
6.3% (92 / 1457)***
 4~6 hours
  668
13.0%
100%
136.5 ± 25.2***
12.0% (80 / 668)***
 6~8 hours
  351
6.9%
100%
143.8 ± 24.5***
20.2% (71 / 351)***
 ≥8 hours   504 9.8% 100% 150.7 ± 27.5*** 28.4% (143 / 504)***

a total score: total score of DRM-52 scale.

b internet addiction: defined when the total score of DRM-52 scale ≥163.

c %(Ninternet use /N whole): the rates of internet use was calculated as the ratio of the numbers of internet-use adolescents to the numbers of whole adolescent samples in that group.

d %(Ninternet addiction / N whole): the rates of AIA was calculated as the ratio of the numbers of internet-addicted adolescents to the numbers of whole adolescent samples in that group.

ep values for the comparison of total scores were calculated by one-way ANOVA, p values for the comparison of the rates of AIA were calculated by chi-square.

*p-values<0.05; **p-values<0.01; ***p-values<0.001 (compared with reference groups).