Table 3

Impacts of personal factors on the symptom development of AIA by linear regression analysesa,b,c,d
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)

a Results are reported as Coefficient Estimate (SE).

b AIA: adolescent internet addiction.

c *p-values<0.05; **p-values<0.01; ***p values<0.001.

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.

Xu et al.

Xu et al. BMC Public Health 2012 12:1106   doi:10.1186/1471-2458-12-1106

Open Data