Internet Addiction Phenomenon in Early Adolescents in Hong Kong

Table 4

Logistic regression analyses on students’ Internet addiction.

	B	Odds ratio	P
First block
Age	−0.04	0.96	.59
Gender	−0.13	0.88	.18
Second block
Immigration status	0.19	1.21	.17
Family economic status (CSSA)	0.09	1.10	.66
Third block
IA-Wave 1	2.02	7.55	.00

Notes. Dependent variable: IA-Wave 2: whether the student meets the criterion of Internet addiction at wave 2.
Gender: 1 = female; 0 = male.
Immigration status: 1 = immigrant students; 0 = local student.
Family economic status: 1 = Receiving Comprehensive Social Security Assistance (CSSA); 2 = not receiving CSSA.
IA-Wave 1: 1= the student met the criterion of Internet addiction at wave 1; 0 = the student did not meet the criterion of Internet addiction at wave 1.