A Latent Transition Analysis of Internet Addiction in Early Adolescents and Its Contributing Factors
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| Title: | A Latent Transition Analysis of Internet Addiction in Early Adolescents and Its Contributing Factors |
|---|---|
| Language: | English |
| Authors: | Hu, Xiaojin, Chen, Yuling, Wang, Zhihang, Huebner, E. Scott, Ling, Yu (ORCID |
| Source: | Journal of Early Adolescence. May 2023 43(5):603-631. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 29 |
| Publication Date: | 2023 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Junior High Schools Middle Schools Secondary Education |
| Descriptors: | Internet, Addictive Behavior, Early Adolescents, Conceptual Tempo, Family Relationship, Learner Engagement, At Risk Persons, Foreign Countries, Computer Use, Adolescent Development, Middle School Students, Urban Schools |
| Geographic Terms: | China |
| DOI: | 10.1177/02724316221116045 |
| ISSN: | 0272-4316 1552-5449 |
| Abstract: | The purpose of the present study was to identify the patterns of Internet addiction in early adolescents and their associated protective factors in order to prevent and/or ameliorate internet addiction as early as possible. A 2-year longitudinal study was conducted among 621 Chinese early adolescents. Latent class and latent transition analyses were used to identify classes of the development of internet addiction. Three latent classes were identified, including a "Non-Internet Addiction Group" (43%), "Low Internet Addiction Group" (43%) and "High Internet Addiction Group" (14%). A Latent Transition Analysis of Adolescents in the Non-Internet Addiction Group and Low Internet Addiction Group demonstrated relative stability in class membership, whereas adolescents in the High Internet Addiction Group tended to change to the Low Internet Addiction Group. Results of multinomial logistic regression and latent transition analyses revealed that low impulsivity, high family care, and high student engagement in school all contributed to membership in the latent classes of internet use and transitions. Implications of these results for prevention and intervention and for future research are discussed. |
| Abstractor: | As Provided |
| Entry Date: | 2023 |
| Accession Number: | EJ1372205 |
| Database: | ERIC |
| Abstract: | The purpose of the present study was to identify the patterns of Internet addiction in early adolescents and their associated protective factors in order to prevent and/or ameliorate internet addiction as early as possible. A 2-year longitudinal study was conducted among 621 Chinese early adolescents. Latent class and latent transition analyses were used to identify classes of the development of internet addiction. Three latent classes were identified, including a "Non-Internet Addiction Group" (43%), "Low Internet Addiction Group" (43%) and "High Internet Addiction Group" (14%). A Latent Transition Analysis of Adolescents in the Non-Internet Addiction Group and Low Internet Addiction Group demonstrated relative stability in class membership, whereas adolescents in the High Internet Addiction Group tended to change to the Low Internet Addiction Group. Results of multinomial logistic regression and latent transition analyses revealed that low impulsivity, high family care, and high student engagement in school all contributed to membership in the latent classes of internet use and transitions. Implications of these results for prevention and intervention and for future research are discussed. |
|---|---|
| ISSN: | 0272-4316 1552-5449 |
| DOI: | 10.1177/02724316221116045 |
