Shek Daniel T L, Yu Lu
Department of Applied Social Sciences, The Hong Kong Polytechnic University, Hong Kong.
ScientificWorldJournal. 2012;2012:104304. doi: 10.1100/2012/104304. Epub 2012 Jun 18.
The present study investigated the prevalence and demographic correlates of Internet addiction in Hong Kong adolescents as well as the change in related behavior at two time points over a one-year interval. Two waves of data were collected from a large sample of students (Wave 1: 3,328 students, age = 12.59 ± 0.74 years; Wave 2: 3,580 students, age = 13.50 ± 0.75 years) at 28 secondary schools in Hong Kong. Comparable to findings at Wave 1 (26.4%), 26.7% of the participants met the criterion of Internet addiction at Wave 2 as measured by Young's 10-item Internet Addiction Test. The behavioral pattern of Internet addiction was basically stable over time. While the predictive effects of demographic variables including age, gender, family economic status, and immigration status were not significant, Internet addictive behaviors at Wave 1 significantly predicted similar behaviors at Wave 2. Students who met the criterion of Internet addiction at Wave 1 were 7.55 times more likely than other students to be classified as Internet addicts at Wave 2. These results suggest that early detection and intervention for Internet addiction should be carried out.
本研究调查了香港青少年网络成瘾的患病率及其人口统计学相关因素,以及在一年间隔内两个时间点相关行为的变化。从香港28所中学的大量学生样本中收集了两波数据(第一波:3328名学生,年龄=12.59±0.74岁;第二波:3580名学生,年龄=13.50±0.75岁)。与第一波(26.4%)的结果相当,根据杨的10项网络成瘾测试,第二波中有26.7%的参与者符合网络成瘾标准。网络成瘾的行为模式随时间基本稳定。虽然年龄、性别、家庭经济状况和移民状况等人口统计学变量的预测作用不显著,但第一波的网络成瘾行为能显著预测第二波的类似行为。在第一波中符合网络成瘾标准的学生在第二波中被归类为网络成瘾者的可能性是其他学生的7.55倍。这些结果表明,应针对网络成瘾进行早期检测和干预。