Predictors of Habitual and Addictive Smartphone Behavior in Problematic Smartphone Use
Park J, Jeong JE, Rho MJ
Psychiatry investigation · 14 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
- Gobierno
- National Research Foundation
- Gobierno
- National Research Foundation of Korea
- Gobierno
- Ministry of Science and ICT, South Korea
- Subvenciones
- National Research Foundation of Korea (NRF2018R1C1B6007750); National Research Foundation of Korea (2018R1C1B6007750)
Según 3 financiadores declarados.
Publicación
- Publicado
- 2021-02-01 · Psychiatry Investig · vol. 18 · número 2 · págs. 118–125
- Editorial
- Korean Neuropsychiatric Association
- Citado
- 48 citas · más que el 99% de estudios similares · 12.7× el promedio de su campo
- Impacto
- Entre el 10 % más citado de su campo
- Referencias
- 52 trabajos
- Acceso
- Acceso abierto (publicación gratuita) · CC-BY-NC
- Áreas de investigación
- Impact of Technology on Adolescents · Child Development and Digital Technology · Behavioral Health and Interventions
- Palabras clave
- smartphone addiction, social networking services, mobile games, entertainment apps, shopping apps, sleep duration
3 autores
- Jihwan Park🇰🇷The Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
- Jo-Eun Jeong🇰🇷The Catholic University of Korea Daejeon St. Mary's Hospital; Catholic University of Korea
- Mi Jung Rho🇰🇷The Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
Resumen
El texto original del estudio, en el idioma en que se publicó.
Objective
Smartphones have become common, and problematic smartphone use (PSU) is increasing. Predictors of PSU should be identified to prevent it. Little is known about the role of content types of smartphone use as predictors of PSU. Therefore, we aimed to evaluate the predictors of two proposed concepts of PSU, namely habitual smartphone behavior (SB) and addictive SB, within the context of the application (app) categories.
Methods
We studied 1,039 smartphone users using online surveys conducted between January 2 and 31, 2019. We employed multiple regression analysis to identify the predictors of habitual and addictive SB. We controlled for sex and age (mean=39.20).
Results
Common predictors of habitual and addictive SB were the use of social networking services, games, entertainment apps, and average weekend smartphone usage time. The predictors of habitual SB were the use of web and lifestyle apps, weekly usage frequency, and sex (female) and the predictors of addictive SB were the use of shopping apps and sleep duration.
Conclusion
This study revealed the need to consider habitual and addictive SB in evaluating PSU. The predictors in terms of the content types of smartphone usage can be used to develop monitoring and prevention services for PSU.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY-NC).
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