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Table 3 Impacts of personal factors on the symptom development of AIA by linear regression analyses a,b,c,d

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

Risk factors

Total score (Adjusted R2=0.31)

Seven subscales

Lack-of- control

Socialization

Planning

Negative life consequences

Time consuming

Tolerance

Withdrawal

Gender

 Girls (ref.)

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 Boys

3.9 (0.8)***

0.2(0.1)

0.6(0.2)***

0.0(0.1)

0.3 (0.1)*

1.0(0.1)***

0.5 (0.1)***

1.5(0.3)***

Grade

 Junior high school  students (ref.)

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 Senior high school students

8.2 (0.9)***

0.7(0.1)***

2.5(2.3)

1.7(1.6)

1.7 (0.2)***

2.4(1.6)

1.0 (0.1)***

2.0(0.3)***

Monthly money spending (RMB/month)

 <100 (ref.)

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 ≥300

6.1(1.2)***

0.5(0.2)**

1.0(0.3)***

0.9(0.2)**

0.8(0.2)***

1.0(0.2)***

0.4(0.2)***

1.7(0.5)**

 100~299

6.4 (1.0)***

0.5(0.1)***

0.9(0.2)***

0.7(0.1)***

0.9 (0.2)***

0.9(0.1)***

0.5(0.1)***

1.9(0.4)***

Academic achievements

 Very good (ref.)

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 Relatively & very bad

12.6(2.0)***

1.3(0.3)***

4.0(0.4)***

1.6(0.3)***

1.3(0.3)***

0.2(0.3)

1.4(0.3)***

2.7(0.7)***

 General

4.8(1.6)**

0.8(0.2)***

1.8(0.3)***

0.8(0.2)***

0.4(0.3)

0.0(0.2)

0.5(0.2)*

0.9(0.5)

 Relatively good

−1.3(1.6)

0.1(0.2)

0.4(0.3)

0.2(0.2)

−0.4(0.3)

−0.4(0.2)

−0.1(0.2)

−1.1(0.6)

Purposes to use internet

 Academic learning (ref.)

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 Games

20.7(1.4)***

2.0(0.2)***

3.6(0.3)***

2.6(0.2)***

3.0(0.3)***

2.0(0.2)***

1.5(0.2)***

6.5(0.5)***

 Real-time chatting

13.6(1.5)***

1.4(0.2)***

2.2(0.3)***

1.8(0.2)***

1.9(0.3)***

1.4(0.2)***

1.0 (0.2)***

4.3(0.6)***

 Browsing news or e-mails

4.0 (1.4)**

0.4(0.2)

0.4(0.3)

0.7 (0.2)***

0.7 (0.2)**

0.5 (0.2)*

0.1(0.2)

1.4 (0.5)**

Total hours spent on internet for a whole week (hours/week)

 <7

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 >28

19.9(1.5)***

0.7(0.2)***

3.4(0.3)***

2.4(0.2)***

2.2(0.3)***

3.2(0.2)***

3.3(0.2)***

5.6(0.6)***

 21 ~28

17.1(1.8)***

0.9(0.3)***

2.6(0.4)***

2.1(0.3)***

1.9(0.3)***

2.1(0.3)***

2.7(0.2)***

5.5(0.7)***

 14 ~21

14.5(1.4)***

0.8(0.2)***

2.6(0.3)***

1.8(0.2)***

1.6(0.3)***

1.7(0.2)***

2.4(0.2)***

4.0(0.5)***

 7~14

10.2(1.0)***

0.7(0.1)***

1.7(0.2)***

1.2(0.2)***

1.2(0.2)***

1.2(0.2)***

1.5(0.1)***

2.8(0.4)***

School type

 Junior high school

1.0

1.0

1.0

1.0

1.0

1.0

1.0

1.0

 Vocational senior high school

7.1(11.4)

2.2(1.6)

2.1(0.2)***

1.7(0.2)***

0.6(2.0)

2.2(1.6)

0.2(1.4)

3.9(3.9)

 Ordinary senior high school

1.9(11.3)

1.4(1.5)

1.2(0.2)***

1.5(0.2)***

0.2(1.9)

2.8(1.6)

0.4(1.4)

3.0(3.9)

 Key senior high school

2.9(11.3)

1.6(1.6)

0.8(0.3)**

0.7(0.2)***

0.2(1.9)

2.6(1.6)

0.3(1.4)

3.6(3.9)

  1. a Results are reported as Coefficient Estimate (SE).
  2. b AIA: adolescent internet addiction.
  3. c * p-values<0.05; ** p-values<0.01; *** p values<0.001.
  4. d Adolescent age, gender, grade, school types, adolescent academic achievement, adolescent monthly spending levels, internet-use time, and the main purposes and places of adolescent internet use were adjusted in the models.