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Table 1 Personal characteristics and characteristics of online behaviors of the study population of 5,122 Shanghai adolescents

From: Personal characteristics related to the risk of adolescent internet addiction: a survey in Shanghai, China

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)***

  1. a total score: total score of DRM-52 scale.
  2. b internet addiction: defined when the total score of DRM-52 scale ≥163.
  3. 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.
  4. 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.
  5. e p 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.
  6. *p-values<0.05; **p-values<0.01; ***p-values<0.001 (compared with reference groups).