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The relationship between cell phone use, academic performance, anxiety, and Satisfaction with Life in college students
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“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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Items 701–800 of 985
Médiaeszközök használatának pszichológiai következményei a tanulással összefüggésben
Faragó, B. (2018) · Iskolakultúra · doi:10.17543/iskkult.2018.1-2.23 · Cited by 2
Impact of smartphone use on health among higher secondary level students in Khulna, Bangladesh
Chowdhury, S., Basu, B., & Laskar, M. (2018) · Mediscope · doi:10.3329/mediscope.v6i1.38936 · Cited by 2
Relationships of Smartphone Dependence With Chronotype and Gender in Adolescence
Ezoe, S., & Toda, M. (2018) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-5225-7128-5.ch003 · Cited by 2
Social Media's Impact on Creative Thought
Robinson, L., Streuli, J., & Fidalgo, A. R. (2019) · International Conference on Knowledge and Smart Technology · doi:10.1109/kst.2019.8687632 · Cited by 1
“The incredibly rapid technological advancements and development of mobile phones has led to devices that can be used as a phone, computer, camera, radio, television, calculator, blogging tool, diary, bank, or a book [1].”
BackgroundRunaway Processes in Modern Human Culture
Miklósi, Á., & Konok, V. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108131797.018 · Cited by 2
EXAMINING THE EFFECTS OF SMARTPHONE USE AT WORK ON WORK ATTITUDES
Yılmaz, S., Yalçın, A., & TÜRK, M. (2020) · Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.35379/cusosbil.818316 · Cited by 3
The Relationship between Smartphone Addiction, Sleep Quality and Stress among University Students
(2020) · Personalia Pelajar · doi:10.17576/personalia.2301.2020.06 · Cited by 2
“Based on Lepp et.al.”
Kaniaru, D. K., Karani, A. K., & Waithera, M. (2020) · Saudi Journal of Nursing and Health Care · doi:10.36348/sjnhc.2020.v03i10.001 · Cited by 3
“In the academic field, various studies have demonstrated the negative impact of excessive cell phone use on academic performance [23, 24], although there is only one study that relates nomophobia to attention in class among university students.”
BackgroundMurata, K. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-78465-2_32 · Cited by 2
Smartphone Use and Well-Being in Two Contexts
O’Toole, K. J. (2021) · Journal of Media Psychology Theories Methods and Applications · doi:10.1027/1864-1105/a000321 · Cited by 2
Scherr, S., & Bartsch, A. (2016) · Springer eBooks · doi:10.1007/978-3-658-10948-6_22-1 · Cited by 2
The Negative Relationship Between Objectively Assessed Physical Activity and Total Smartphone Usage
Smith-Ricketts, J., Lepp, A., & Barkley, J. E. (2022) · Research Directs in Psychology and Behavior · doi:10.53520/rdpb2022.10747 · Cited by 2
Self-citationUzdıl, N., & Şimşek, N. (2023) · Journal of Dependence · doi:10.51982/bagimli.1149089 · Cited by 2
Comparative study of athletes with high and low nomophobia toward archery accuracy
Suhasto, S., Tomoliyus, T., Widiyanto, W., Yachsie, B., & Fimbriata, F. A. (2023) · Fizjoterapia Polska · doi:10.56984/8zg0df27b · Cited by 3
Online addictions are real: What are technology educators doing about it?
Lee, K. M., Kostrykina, S., & Washbrooke, S. (2023) · Australasian Journal of Technology Education · doi:10.15663/ajte.v9.i0.101 · Cited by 3
“…tend to continually check their digital devices for fear of missing out (FoMO) (Klimmt et al., 2018); some studies linked FoMO to smartphone addiction (Davey & Davey, 2014, Kwon et al., 2013, Salehan & Negahban, 2013) and problematic mobile phone use (Cheever et al., 2014; Lepp et al., 2014).”
BackgroundAngeioplastis, A., Eleftherios, P., Tsakiridis, S., Tsimpiris, A., & Varsamis, D. (2024) · doi:10.18690/um.fov.3.2024.2 · Cited by 2
Beyond Intelligence: The Life and Work of Howard Gardner
Tugberk, C., & Sirin, S. R. (2024) · Springer eBooks · doi:10.1007/978-3-030-81037-5_143-1 · Cited by 2
A Novel Study to Predict Trends and Policies for Mobile Communication in Multienvironment Regions
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“Lepp, Barkley and Karpinski [5] investigated the relationships between total cell phone use and texting, on Satisfaction with Life (SWL), in college students.”
BackgroundInvestigation of Smartphone Use Addiction in Generation Y
Salabğir, Z. G., & Nasır, S. (2019) · Advances in human and social aspects of technology book series · doi:10.4018/978-1-7998-1063-6.ch010 · Cited by 2
Mei, G., Hou, Y., Tian, Z., & Xu, W. (2020) · Chinese Automation Congress · doi:10.1109/cac51589.2020.9327898 · Cited by 2
“Except for the aforementioned factors, college admissions policies, which including allocating different enrolment ratios for students from different provinces and priority admission policies for ethnic minorities, resulting in students with different learning ability and past AP, which has been found to be a strong p…”
BackgroundNudging problematic smartphone use to a lower level
Palokangas, L., & Suomala, J. (2017) · Theseus (Ammattikorkeakoulujen) · Cited by 2
The Global State of Mental Health: Trends and CorrelatesPreprint
Deole, S. S. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3425624 · Cited by 2
“As per emerging literature, the excessive use of the internet, smartphones, and digital technology is negatively associated with the user's quality of life and mental health, especially among the younger population (Baert & Amez, 2019; Lepp et al., 2014).”
InfluentialSmartphone Use and Academic Performance: Correlation or Causal Relationship?Preprint
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Leveraging Rational Addiction Theory to Reduce Mobile UsagePreprint
Somasundaram, J., Zimmermann, L., & Duc, P. Q. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3719413 · Cited by 2
Stress, Mood, and Smartphone Use in University Students: A 12-week Longitudinal StudyPreprint
Bradley, A., & Howard, A. (2021) · doi:10.31219/osf.io/frvpb · Cited by 2
The Influence of Gadget towards Information Technology Addict and Procrastination Behaviour
Susilawati, E. (2019) · IOP Conference Series: Materials Science and Engineering · doi:10.1088/1757-899x/662/2/022054 · Cited by 5
“[16] It is also in line with the research of Cheng et.al (2000) that proposed a significant positive correlation was found between total time spent on studying and test scores reflecting that procrastination can ultimately lead to lower academic performance.”
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Sepehri, N., Niknami, M., Ghorchian, N., & Taghipourzahir, A. (2021) · International Journal of Ethics & Society · doi:10.52547/ijethics.3.2.52 · Cited by 1
Uso Problemático de Smartphone entre Acadêmicos do Curso de Ciências Contábeis
Kaveski, I. D. S., Rodrigues, I. D. S. C., & Garcia, T. T. (2022) · RC&C Revista de Contabilidade e Controladoria · doi:10.5380/rcc.v14i1.80687 · Cited by 1
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“Some of the studies found a negative relationship (Akhter, 2013; Lepp et al., 2014; Türel and Toraman, 2015; Hawi and Samaha, 2016) while others found no relationship between these two variables (Ellore et al.”
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El colapso del Yo. Hacia una educación para la emancipación interior
Roldán, P. R., & Gascón, A. D. L. H. (2024) · Revista Internacional de Educación y Análisis Social Crítico Mañé Ferrer & Swartz · doi:10.51896/easc.v2i1.545 · Cited by 1
Teachers’ Perspective on Mobile Devices Usage in School Environment
Spasskaya, E. B., & Proekt, Y. L. (2024) · Springer geography · doi:10.1007/978-3-031-67762-5_26 · Cited by 1
Cultivating Classroom Connectivity: Navigating the Role of Cell Phones in Education
Sharma, S. (2024) · The Clearing House A Journal of Educational Strategies Issues and Ideas · doi:10.1080/00098655.2024.2427334 · Cited by 1
“These studies have consistently identified issues such as decreased student learning (Lepp, Barkley, and Karpinski 2014; Bjornsen and Archer 2015), decreased student achievement (Kates, Wu, and Coryn 2018) and decreased student participation (Berry and Westfall 2015) as common consequences of…”
Millán, D. (2024) · AERA Open · doi:10.1177/23328584241297158 · Cited by 1
“For example, students who use cellphones during class can be distracted and under-perform (Lepp et al., 2014).”
Liu, N., Han, X., Dai, X., & Zhang, G. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1681556 · Cited by 3
“Physical activity provides opportunities for face-to-face interaction, which reduces reliance on virtual socializing (28).”
Sacred verses screen: Can religiosity buffer digital distress and delay discounting?
Asante, E. F., Adu, B. Y., & Woode, I. (2025) · Science Mundi · doi:10.51867/scimundi.5.2.35 · Cited by 2
“Lepp et al. (2014) studied smartphone use and anxiety among college students, which, while not focused on DDT specifically, provides relevant insights into how DD manifests am ong student populations.”
InfluentialChen, B., Xiao, Y., Wang, R., Zhu, Y., Liang, Y., & Ding, L. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1695798 · Cited by 1
“Smartphone addiction is particularly prevalent among university students and has been linked to multiple negative outcomes, including anxiety, depression, sleep deprivation, and physical inactivity (8, 12–14).”
Imrani, S., Touri, B., Romo, L., & Zerhouni, O. (2026) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2026.100667 · Cited by 3
Nawaz, S., Linden, T., Mitchell, M., & Bhowmik, J. (2026) · Social Sciences & Humanities Open · doi:10.1016/j.ssaho.2026.102569 · Cited by 3
Gülden, Ç. (2026) · Journal of Psychologists and Counsellors in Schools · doi:10.1177/20556365261419843 · Cited by 2
“…poor academic performance, increased symptoms of depression, anxiety, suicidal ideation, and dissociation (e.g., Boysan et al., 2017; Chen et al., 2016; Cheng & Meng, 2021; Elhai et al., 2016; Erdem & Sezer Efe, 2022; Lepp et al., 2014; Kim et al., 2006; Seo et al., 2016; Ye et al., 2023).”
Liu, D., Fu, Y., Lu, G., Zhang, S., Li, K., Zhou, W., & Chen, C. (2026) · Acta Psychologica · doi:10.1016/j.actpsy.2026.106818 · Cited by 1
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“In university samples, MPA frequently co-occurs with declines in academic achievement, social impairment, and mood fluctuations (5).”
InfluentialHe, Y., Pan, T., Hong, S., Xu, T., Liu, L., Liu, S., Xiong, P., Yang, X., Wang, D., Chen, W., et al. (2026) · BMC Psychology · doi:10.1186/s40359-026-05257-z · Cited by 1
“On average, students spend approximately 278.67 min on their mobile phones and send about 76.68 text messages each day [1].”
InfluentialConformity through the mobile phone choices of the young French
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Humanistic antidotes for a narcissistic social media addicted society
Benjamin, E. (2017) · Self & Society · doi:10.1080/03060497.2017.1368173 · Cited by 1
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“Previous studies have shown the different negative impacts of excessive use of screen devices and addiction to technology on academic performance, on psychological well-being such as stress self-esteem and life satisfaction [20, 21].”
BackgroundBehavioral Biometrics and Ambient Intelligence: New Opportunities for Context-Aware Applications
Davide, C., & Nováis, P. (2017) · Frontiers in artificial intelligence and applications · doi:10.3233/978-1-61499-804-4-68 · Cited by 1
L'educazione al benessere nell'età evolutiva
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“Empirical research shows that academic performance is negatively impacted by the use of social media (Kirschner and Kaprinski, 2010), as well as smartphones (Lepp et al., 2014).”
BackgroundSmartphone as a learning tool: Psychological analysis
Безгодова, С. А., Miklyaeva, A. V., & Yumkina, E. A. (2020) · Gercenovskie čteniâ: psihologičeskie issledovaniâ v obrazovanii · doi:10.33910/herzenpsyconf-2020-3-41 · Cited by 1
Smartphone Addiction Factors Effecting University Student Performance
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“Similarly, a study on Taiwan’s female university students reveals that students spend most time on calling and texting that adversely affect their academic performance (Lepp et al., 2014).”
Efficacy of Cell Phones Within Instructional Design
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“These studies have provided evidence that self-reported device usage often negatively impacts academic performance in the short-term and long-term (Gingerich and Lineweaver 2014; Junco and Cotten 2012; Junco 2015; Lepp, Barkley, and Karpinski 2014).”
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“Smartphone addiction has been linked to higher levels of academic stress among these students (Lepp, Barkley, & Karpinski, 2014).”
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“Seterusnya, kesan dalam konteks masalah mental pula ialah menyebabkan individu terbabit mengalami tekanan, risau yang melampau, gelisah, tertekan dan kepuasan diri yang rendah (Elhai et al., 2017; Gupta et al., 2016; Lepp et al., 2014; Samaha & Hawi, 2016; Tao et al., 2017; Gezgin et al., 2018).”
BackgroundRelación entre la distribución del tiempo y las nuevas tecnologías en los adolescentes
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Gracia, P., Bohnert, M., & Celik, S. (2022) · doi:10.31234/osf.io/wfktu · Cited by 1
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Metadata
- 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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