Predictors of Habitual and Addictive Smartphone Behavior in Problematic Smartphone Use
Park J, Jeong JE, Rho MJ
Psychiatry investigation · 14 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- Government
- National Research Foundation
- Government
- National Research Foundation of Korea
- Government
- Ministry of Science and ICT, South Korea
- Grants
- National Research Foundation of Korea (NRF2018R1C1B6007750); National Research Foundation of Korea (2018R1C1B6007750)
Based on 3 listed funder(s).
Publication
- Published
- 2021-02-01 · Psychiatry Investig · vol. 18 · issue 2 · pp. 118–125
- Publisher
- Korean Neuropsychiatric Association
- Cited
- 48 citations · more than 99% of similar papers · 12.7× the field average
- Impact
- Top 10% most cited in its field
- References
- 52 works
- Access
- Open access (free to publish) · CC-BY-NC
- Research areas
- Impact of Technology on Adolescents · Child Development and Digital Technology · Behavioral Health and Interventions
- Keywords
- smartphone addiction, social networking services, mobile games, entertainment apps, shopping apps, sleep duration
3 authors
From KR
- Jihwan ParkThe Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
- Jo-Eun JeongThe Catholic University of Korea Daejeon St. Mary's Hospital; Catholic University of Korea
- Mi Jung RhoThe Catholic University of Korea Seoul St. Mary's Hospital; Catholic University of Korea
Abstract
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.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC).
Community trust
Loading…
How much do you trust this study's findings?
Comments
Sign in to rate, comment on or flag this study.Sign inSomething wrong here?
Flag this study if its information, labels or funding look wrong. An editor reviews every flag.
Sign in to rate, comment on or flag this study.Sign inEducational information about published research. Not medical advice, and not a recommendation to start or stop anything.