Latent class analysis on internet and smartphone addiction in college students
Mok JY, Choi SW, Kim DJ, Choi JS, Lee J, Ahn H, Choi EJ, Song WY
Neuropsychiatric disease and treatment · 125 citas
Cómo se estudió
- Diseño
- Estudio transversal (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación independiente
Según la declaración de financiación del texto completo.
Publicación
- Publicado
- 2014-05-01 · Neuropsychiatr Dis Treat · vol. 10 · pág. 817
- Editorial
- Dove Medical Press
- Citado
- 299 citas · más que el 100% de estudios similares · 52.5× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 64 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY-NC
- Áreas de investigación
- Impact of Technology on Adolescents · Psychosocial Factors Impacting Youth
- Palabras clave
- internet addiction, smartphone addiction, university students, addiction severity, sex differences, psychosocial traits, anxiety, neurotic personality, mood, Big Five personality traits
8 autores
- Sam‐Wook Choi🇰🇷Eulji University
- Jung Yeon Mok🇰🇷Eulji University
- Dai‐Jin Kim🇰🇷The Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
- Jung‐Seok Choi🇰🇷Seoul National University; SNUH SMG-SNU Boramae Medical Center
- Jaewon Lee🇰🇷Eulji University
- Heejune Ahn🇰🇷Seoul National University of Science and Technology
- Eun-Jeung Choi🇰🇷Dongshin University
- Wonyoung Song🇰🇷Konyang University
Resumen
El texto original del estudio, en el idioma en que se publicó.
Purpose
This study aimed to classify distinct subgroups of people who use both smartphone and the internet based on addiction severity levels. Additionally, how the classified groups differed in terms of sex and psychosocial traits was examined.
Methods
A total of 448 university students (178 males and 270 females) in Korea participated. The participants were given a set of questionnaires examining the severity of their internet and smartphone addictions, their mood, their anxiety, and their personality. Latent class analysis and ANOVA (analysis of variance) were the statistical methods used.
Results
Significant differences between males and females were found for most of the variables (all <0.05). Specifically, in terms of internet usage, males were more addicted than females (P<0.05); however, regarding smartphone, this pattern was reversed (P<0.001). Due to these observed differences, classifications of the subjects into subgroups based on internet and smartphone addiction were performed separately for each sex. Each sex showed clear patterns with the three-class model based on likelihood level of internet and smartphone addiction (P<0.001). A common trend for psychosocial trait factors was found for both sexes: anxiety levels and neurotic personality traits increased with addiction severity levels (all P<0.001). However, Lie dimension was inversely related to the addiction severity levels (all P<0.01).
Conclusion
Through the latent classification process, this study identified three distinct internet and smartphone user groups in each sex. Moreover, psychosocial traits that differed in terms of addiction severity levels were also examined. It is expected that these results should aid the understanding of traits of internet and smartphone addiction and facilitate further study in this field.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY-NC).
Confianza de la comunidad
Cargando…
¿Cuánto confías en los hallazgos de este estudio?
Comentarios
¿Algo está mal aquí?
Señala este estudio si su información, etiquetas o financiación parecen incorrectas. Un editor revisa cada señalamiento.
Información educativa sobre investigación publicada. No es consejo médico ni una recomendación para empezar o dejar nada.