The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students
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College students are an at-risk population regarding excessive and addictive smartphone use.
“have been shown to constitute an at-risk population regarding excessive and addictive smartphone use1–4”
From Emotion-related impulsivity moderates the cognitive interference effect of smartphone availability on working memory (2019) · cites this paper as [3]
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BackgroundMethodInfluentialRelationships among smartphone addiction, stress, academic performance, and satisfaction with life
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“This is consistent with most studies researching smartphone addiction (e.g., AboArrab & Al-Qosairi, 2014; Alasdair & Philips, 2011; Al-Jamal, 2014; Campbell, 2005; GSMA, 2011; Javid et al., 2011; Lepp et al., 2014).”
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“For example, Lepp et al. (2014) found a negative correlation between grade point average (GPA) and both 2 Equal variances not assumed due to significant Levene’s test, F = 6.2, p = .013. overall cell phone use (i.e., including all uses apart from listening to music) and text messaging among…”
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“• Depression L: [26,268,269] CS: [29,53,113,139,140,239,244,264,269] NA: [74,75] • Sleep problems, lower sleep quality L: [268,269,274] CS: [117,149,187,269] • Later bedtimes, shorter sleep CS: [103,113,117,228] • Tiredness, reduced daytime function CS: [65,113,117,187,228] • Lower mental well-being CS: [227] NA: [37]…”
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“Improving student–student relationship can help reduce adolescent smartphone addiction, given the adverse impacts smartphone addiction has on adolescents’ development, such as physical health, emotions, sleep quality, and academic performance (Kim et al., 2015; Lemola et al., 2015; Lepp et al., 2014; Samaha & Hawi, 20…”
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“…been linked to poor academic performance (Kibona and Mgaya 2015; Hawi and Samaha 2016c), stress, and low satisfaction with life (Lee et al. 2014; Lepp, Barkley, and Karpinski 2014; Samaha and Hawi 2016), and some studies addressed the negative impact of smartphone addiction on people’s physical…”
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Is the smartphone a smart choice? The effect of smartphone separation on executive functions
Hartanto, A., & Yang, H. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.002 · Cited by 164 · see citing works
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“Despite conflicting findings, researchers generally agree that a broad understanding of the field combined with proper utilization of social media would enable the creation of better learner-focused systems in education [5], although previous frameworks and models related to social media have been shown to produce sev…”
BackgroundProblematic smartphone use: an empirically validated model
Pivetta, E., Harkin, L., Billieux, J., Kanjo, E., & Kuss, D. J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.06.013 · Cited by 149 · see citing works
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“Studies have shown that deterioration in academic performance was one of the most frequently reported adverse outcomes of smartphone addiction among university students in the United States [47] and Italy [48].”
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The association between social anxiety and mobile phone addiction: A three-level meta-analysis
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“…have examined associations between technology addictions and stress, anxiety (Hawi and Samaha 2017a), depression, and psychological well-being, which all had negative impacts on satisfaction with life (Lepp, Barkley, and Karpinski 2014; Kabasakal 2015; Hawi and Samaha 2016; Samaha and Hawi 2016).”
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Linking decent work with physical and mental health: A psychology of working perspective
Duffy, R. D., Kim, H. J., Gensmer, N. P., Raque‐Bogdan, T. L., Douglass, R. P., England, J. W., & Büyükgöze‐Kavas, A. (2019) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2019.05.002 · Cited by 129 · see citing works
Effects of Phubbing: Relationships With Psychodemographic Variables
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“The “always on” or “perpetual contact” offered by the modern smartphone, asserts McDaniel (2015), can lead to stress.”
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“Literature highlighted how psychopathological measures of anxiety and depression entertained small or negligible correlation with flourishing [84] and life satisfaction [85,86], which are respectively EWB and HWB measures.”
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“The effects of multitasking on academic performance were examined in numerous studies (Becker et al., 2013; Junco & Cotten, 2012; Karpinski, Kirschner, Ozer, Mellott, & Ochwo, 2013; Lepp et al., 2014; Wang & Tchernev, 2012).”
Prolonged mobile phone use is associated with depressive symptoms in Chinese adolescents
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What College Instructors Can Do About Student Cyber-slacking
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“Meanwhile, using mobile technology for off-task purposes while handling academic tasks has been associated with detriments to homework completion rates (e.g., Junco and Cotten 2012), test scores (e.g., Bjornsen and Archer 2015), final course grades (e.g., Lepp et al. 2014), and more.”
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“These negative consequences include symptoms of depression and anxiety [7,8], detrimental effects on attention [9], financial problems [10], sleep disturbances [11], dangerous use [12], and problematic social and academic behaviours [9,13].”
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Smartphones are more reinforcing than food for students
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The Impact of Social Media Networks Websites Usage on Students’ Academic Performance
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“[19] explored that Cell Phone use was negatively related to GPA and positively related to anxiety.”
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“Studies in the United States that have subjectively measured the association of smartphones with physical activity and sedentary behavior have demonstrated that smartphone use is positively associated with sedentary behavior with no relationship between smartphone use and physical activity and may decrease the intensi…”
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Problematic smartphone use among Lebanese adults aged 18–65 years using MPPUS-10
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Digital distraction in the classroom: exploring instructor perceptions and reactions
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“College students spend several hours on their mobile phones (Barkley and Lepp 2016; Roberts, Yaya, and Manolis 2014), send hundreds of text messages (Lepp, Barkley, and Karpinski 2014; Lepp, Barkley, and Salehi-Esfahani 2015; Lepp, Li, and Barkley 2016), and log several hours on Twitter, Facebook,…”
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“This debate surrounding Internet addiction is now related to smartphone use as well (Lopez-Fernandez, 2017; Lopez-Fernandez, Kuss, Griffiths, & Billieux, 2015), because most research on excessive smartphone use has commonly focused more on generalized use, and less on specific forms.”
BackgroundSmartphone Restriction and Its Effect on Subjective Withdrawal Related Scores
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- Authors
- Lepp, A., Barkley, J. E., & Karpinski, A. C.
- Affiliations
- Kent State University (US)
- Corresponding author
- Lepp, Andrew
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 31
- Pages
- 343-350
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W1998146685
- Cited by
- 990
- References
- 58
- Citations by year
- 2026: 56 · 2025: 59 · 2024: 87 · 2023: 98 · 2022: 94 · 2021: 126 · 2020: 114 · 2019: 91 · 2018: 94 · 2017: 58 · 2016: 56 · 2015: 43 · 2014: 14
- FWCI
- 116.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computers in Human Behavior (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Keywords
- mobile phone use, text messaging, academic performance, anxiety, life satisfaction, subjective well-being, university students, GPA, mental health, mediation
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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.
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