A latent profile transition analysis and influencing factors of internet addiction for adolescents: A short-term longitudinal study

Abstract

Internet addiction for adolescent, which is widely concerned by the whole society, has become a public health problem. Internet addiction not only had a negative impact on physical and mental development of adolescents, but also was harmful to their study, life, interpersonal communication and personality formation, and so on. In recent years, the data analysis methods of longitudinal research have developed rapidly. It not only focused on the overall average growth trend, but also considered the differences in the individual trends. Latent profile transition analysis (LPTA) is an extension of latent profile analysis (LPA) and latent transition analysis (LTA), and is a longitudinal data analysis method. LPTA can simultaneously estimate group membership in multiple time points and their latent transition tendency among these subgroups between each two time points. This study used LPTA to explore the development trend of adolescent internet addiction over time and its influencing factors. 1033 adolescents participated in a short-term 6-month longitudinal study with a total of three tests. Participants completed internet addiction test, self-rating anxiety scale and self-rating depression scale. The results showed that: (1) There are three categories of adolescent internet addiction, namely non-internet addiction group, low-internet addiction group and high-internet addiction group. (2) Non-internet addiction group has a strong stability. Low-internet addiction group has a high probability to become non-internet addiction group or high-internet addiction group. (3) Boys are more likely than girls to develop into high-internet addiction group. Anxiety and depression both affect the development of adolescent internet addiction.