Internet Addiction Phenomenon in Early Adolescents in Hong Kong

Table 2

Percentage of participants with Internet addiction behavior in two years.

Internet use behaviors in the past year	No (Wave 2)		Yes (Wave 2)		Yes (Wave 1)		Related-Samples McNemar Tests
	Number	Percent	Number	Percent	Number	Percent	Statistics	P
(1) Feeling preoccupied with the Internet or online services and think about it while offline	2141	58.9%	1494	41.1%	1324	39.9%	1.50	.22
(2) Feeling a need to spend more and more time online to achieve satisfaction	2484	68.4%	1147	31.6%	1072	32.3%	1.11	.29
(3) Unable to control your online use	2765	68.1%	866	23.9%	752	22.7%	0.54	.46
(4) Feeling restless or irritable when attempting to cut down or stop online use	3119	85.9%	511	14.1%	484	14.6%	0.04	.85
(5) Stay online longer than originally intended	1937	53.4%	1691	46.6%	1404	42.4%	14.82	.00
(6) Risk the loss of a significant relationship, job, or educational or career opportunity because of online use	2821	77.7%	809	22.3%	644	19.5%	5.89	.02
(7) Lie to family members or friends to conceal excessive Internet use	2925	80.6%	703	19.4%	651	19.7%	0.51	.48
(8) Go online to escape problems or relieve feelings such as helplessness, guilt, anxiety, or depression	2892	79.8%	732	20.2%	633	19.2%	1.63	.20
(9) Showing withdrawal when offline, such as increased depression, moodiness, or irritability	3151	77.6%	477	13.1%	395	12.0%	1.40	.24
(10) Keep on using Internet even after spending too much money on online fees	3219	89.0%	399	11.0%	331	10.1%	0.10	.75
Participants can be classified as Internet addiction (Young’s criteria)	2663	73.3%	972	26.7%	869	26.4%	0.10	.76

Note. Related-Samples McNemar Tests were conducted to examine whether the difference between the distribution of students with Internet addictive behaviors in Wave 1 and Wave 2 is significant.