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Problematic Mobile Phone Use and Addiction Across Generations: the Roles of Psychopathological Symptoms and Smartphone Use
Open accessAbstract
Contemporary technological advances have led to a significant increase in using mobile technologies. Recent research has pointed to potential problems as a consequence of mobile overuse, including addiction, financial problems, dangerous use (i.e. whilst driving) and prohibited use (i.e. use in forbidden areas). The aim of this study is to extend previous findings regarding the predictive power of psychopathological symptoms (depression, anxiety and stress), mobile phone use (i.e. calls, SMS, time spent on the phone, as well as the engagement in specific smartphone activities) across Generations X and Y on problematic mobile phone use in a sample of 273 adults. Findings revealed prohibited use and dependence were predicted by calls/day, time on the phone and using social media. Only for dependent mobile phone use (rather than prohibited), stress appeared as significant. Using social media and anxiety significantly predicted belonging to Generation Y, with calls per day predicted belonging to Generation X. This finding suggests Generation Y are more likely to use asynchronous social media-based communication, whereas Generation X engage more in synchronous communication. The findings have implications for prevention and awareness-raising efforts of possibly problematic mobile phone use for educators, parents and individuals, particularly including dependence and prohibited use.
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“Using mobile phones is understood as leading to alterations in everyday life habits and perceptions of reality, which can be associated with negative outcomes, such as impaired social interactions, social isolation, as well as both somatic and mental health problems, including anxiety, depression, and stress [85,87].”
From Social networking sites and addiction: Ten lessons learned (2017) · cites this paper as [87]
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Metadata
- Authors
- Kuss, D. J., Kanjo, E., Crook-Rumsey, M., Kibowski, F., Wang, G. Y., & Sumich, A.
- Affiliations
- Nottingham Trent University (GB)
- Auckland University of Technology (NZ)
- Corresponding author
- Kuss, Daria J.
- Venue
- Journal of Technology in Behavioral Science
- Published
- 2018-01-08
- Volume
- 3
- Issue
- 3
- Pages
- 141-149
- ISSN
- 2366-5963 (ISSN-L)
- PMC
- PMC6133055
- OpenAlex
- W2772395238
- Cited by
- 196
- References
- 49
- Citations by year
- 2026: 15 · 2025: 21 · 2024: 20 · 2023: 26 · 2022: 36 · 2021: 23 · 2020: 26 · 2019: 21 · 2018: 7
- FWCI
- 107.62
- Type
- book chapter
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Journal of Technology in Behavioral Science (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- University of Southern Queensland ePrints (University of Southern Queensland) (acceptedVersion)
- Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
- Tuwhera (Auckland University of Technology) (submittedVersion, cc-by)
- Funders
- British Academy (SG162119)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Keywords
- problematic mobile phone use, mobile phone addiction, smartphone addiction, Generation X, millennials, psychiatric symptoms, depression, anxiety, stress, social media use, synchronous communication, asynchronous communication, mobile phone calls
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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