The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.
Exploring the relationships between college students’ cell phone use, personality and leisure
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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 [4]
In the citing paper
“The negative consequences of this problem include the possible increase of stress, anxiety, and/or the “paradox” of a lack of communication, despite being more connected, especially among young people and adolescents [5,6,7].”
From Problematic Use of the Internet and Smartphones in University Students: 2006–2017 (2018) · cites this paper as [5]
Citations
Cites
Multiple Imputation for Nonresponse in Surveys
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Flow: the psychology of optimal experience
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Applied Multivariate Statistics for the Social Sciences
Stevens, J. P. (2012) · Routledge eBooks · doi:10.4324/9780203843130 · Cited by 10,652
Flow: The Psychology of Optimal Experience
Buchanan, R., & Csíkszentmihályi, M. (1991) · Design Issues · doi:10.2307/1511458 · Cited by 9,449
A very brief measure of the Big-Five personality domains
Gosling, S. D., Rentfrow, P. J., & Swann, W. B. (2003) · Journal of Research in Personality · doi:10.1016/s0092-6566(03)00046-1 · Cited by 8,307
Cluster Analysis for Applications
(1973) · Elsevier eBooks · doi:10.1016/c2013-0-06161-0 · Cited by 5,112
Aldenderfer, M. S. (1984) · Cited by 2,502
Multiple Imputation for Nonresponse in Surveys.
Lynn, P. J., & Rubin, D. B. (1988) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348774 · Cited by 2,330
Who interacts on the Web?: The intersection of users’ personality and social media use
Correa, T., Hinsley, A. W., & de Zúñiga, H. G. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2009.09.003 · Cited by 1,915
Personality and motivations associated with Facebook use
Ross, C., Orr, E. S., Sisic, M., Arseneault, J. M., Simmering, M. G., & Orr, R. R. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2008.12.024 · Cited by 1,728
Research works printed but not linked: 3
- Barkley, 2013, Cellular telephone use is associated with greater sedentary behavior independent of leisure-time physical activity, Applied Physiology, Nutrition and Metabolism, 38, 1023
- Kirkcaldy, 1989, Gender and personality determinants of recreational interests, Studia Psychologica, 30, 115
- Lepp, A., & Barkley, J. (2014). Cell phone use as leisure: Activities, motivations and affective experiences. In: Book of Abstracts for the Leisure Research Symposium of the National Recreation and Parks Association’s Annual Congress, (pp. 154–156). Retrieved on 10/22/2014 from: <http://www.academyofleisuresciences.com/sites/default/files/2014%20LRS%20Book%20of%20Abstracts.pdf>.
Cited by
Sorted by citations
Relationships among smartphone addiction, stress, academic performance, and satisfaction with life
Samaha, M., & Hawi, N. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.045 · Cited by 1,246
The Prevalence of Depression, Anxiety and Stress and Their Associated Factors in College Students.
Ramón-Arbués, E., Gea-Caballero, V., Granada-López, J. M., Juárez-Vela, R., Pellicer-García, B., & Antón-Solanas, I. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17197001 · Cited by 637
“The negative consequences of PIU include, among others, a possible increase in stress and anxiety, as well as a lack of social communication and interaction [49,50].”
BackgroundLepp, A., Barkley, J. E., & Karpinski, A. C. (2015) · Sage Open · doi:10.1177/2158244015573169 · Cited by 429
Self-citationChen, L., Yan, Z., Tang, W., Yang, F., Xie, X., & He, J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.10.030 · Cited by 334
Do smartphone usage scales predict behavior?
Ellis, D. A., Davidson, B. I., Shaw, H., & Geyer, K. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.05.004 · Cited by 326
Metadata
- Authors
- Lepp, A., Li, J., Barkley, J. E., & Salehi-Esfahani, S.
- Affiliations
- Kent State University (US)
- Corresponding author
- Lepp, Andrew
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 43
- Pages
- 210-219
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2071986174
- Cited by
- 188
- References
- 62
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 5 · 2023: 15 · 2022: 15 · 2021: 27 · 2020: 28 · 2019: 16 · 2018: 25 · 2017: 15 · 2016: 12 · 2015: 13
- FWCI
- 44.55
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- Funders
- Kent State University
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Recreation, Leisure, Wilderness Management
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Cyberloafing and Workplace Behavior
- Keywords
- mobile phone use, university students, leisure experience, personality, Big Five personality traits, extraversion, introversion, boredom, challenges, well-being, smartphone use patterns
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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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