The DOI matches its Crossref record; 43 of the 44 references it cites were found in a registry or an index.
The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week
Overview
Integrity signals
Registry
Cites
Statistics
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
“PSU was positively associated with an individual's average minutes of screen time over a week, which ranged from a minimum of 46.571 min over a week, to a maximum of 608.143 min over a week.”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Rozgonjuk, Levine, et al., 2018
In the citing paper
“average phone screen unlocks over a week was not associated with PSU.”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Rozgonjuk, Levine, et al., 2018
In the citing paper
“the relationship between procrastination and PSU may be mediated by social media use in lectures, diverting attention from the lecturer.”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Rozgonjuk, Levine, et al., 2018
In the citing paper
“However, this is less likely since the ligature suggests that smartphone use is habitual and generally time invariant [67,68] and thereby does not significantly change in accordance with life events.”
From Effects of Social Media and Smartphone Use on Body Esteem in Female Adolescents: Testing a Cognitive and Affective Model (2020) · cites this paper as [68]
Citations
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
The PHQ-9: Validity of a brief depression severity measure
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2001.016009606.x · Cited by 44,910
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Discovering Statistics Using SPSS
Field, A. P., & Miles, J. N. V. (2000) · Medical Entomology and Zoology · Cited by 28,269
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,773
Lovibond, P. F., & Lovibond, S. H. (1995) · Behaviour Research and Therapy · doi:10.1016/0005-7967(94)00075-u · Cited by 14,523
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820
Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998) · Psychological Assessment · doi:10.1037/1040-3590.10.2.176 · Cited by 4,874
Kroenke, K., Spitzer, R. L., Williams, J. B. W., & Löwe, B. (2010) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2010.03.006 · Cited by 4,057
Discovering statistics using R
(2012) · Choice Reviews Online · doi:10.5860/choice.50-2114 · Cited by 2,548
Kardefelt-Winther, D. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.059 · Cited by 2,519
Psychometric properties of the Depression Anxiety Stress Scales (DASS) in clinical samples
Brown, T. A., Chorpita, B. F., Korotitsch, W., & Barlow, D. H. (1997) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(96)00068-x · Cited by 1,860
Yuan, K.-H., & Bentler, P. (2000) · Sociological Methodology · doi:10.1111/0081-1750.00078 · Cited by 1,847
Elhai, J. D., Dvorak, R. D., Levine, J. C., & Hall, B. J. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.08.030 · Cited by 1,689
Self-citationDevelopment and Validation of a Smartphone Addiction Scale (SAS)
Kwon, M., Lee, J.-Y., Won, W.-Y., Park, J.-W., Min, J.-A., Hahn, C., Gu, X., Choi, J.-H., & Kim, D.-J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056936 · Cited by 1,670
Demirci, K., Akgönül, M., & Akpinar, A. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.010 · Cited by 1,529
Twelve frequently asked questions about growth curve modeling
Curran, P. J., Obeidat, K., & Losardo, D. (2010) · Journal of Cognition and Development · doi:10.1080/15248371003699969 · Cited by 1,246
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
Billieux, J., Maurage, P., Lopez-Fernandez, O., Kuss, D. J., & Griffiths, M. D. (2015) · Current Addiction Reports · doi:10.1007/s40429-015-0054-y · Cited by 1,205
Habits make smartphone use more pervasive.
Oulasvirta, A., Rattenbury, T., Ma, L., & Raita, E. (2012) · Personal and Ubiquitous Computing · doi:10.1007/s00779-011-0412-2 · Cited by 1,190
Social capital and mental illness: a systematic review
Silva, M. J. D., McKenzie, K. J., Harpham, T., & Huttly, S. R. A. (2005) · Journal of Epidemiology & Community Health · doi:10.1136/jech.2004.029678 · Cited by 1,036
Modeling habitual and addictive smartphone behavior
van Deursen, A. J. A. M., Bolle, C. L., Hegner, S. M., & Kommers, P. A. M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.12.039 · Cited by 1,031
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.05.079 · Cited by 1,020
Self-citationHow can we conceptualize behavioural addiction without pathologizing common behaviours?
Kardefelt‐Winther, D., Heeren, A., Schimmenti, A., van Rooij, A., Maurage, P., Carras, M., Edman, J., Blaszczynski, A., Khazaal, Y., & Billieux, J. (2017) · Addiction · doi:10.1111/add.13763 · Cited by 780
Wolniewicz, C. A., Tiamiyu, M. F., Weeks, J. W., & Elhai, J. D. (2018) · Psychiatry Research · doi:10.1016/j.psychres.2017.09.058 · Cited by 539
Self-citationMeasuring Mobile Phone Use: Self-Report Versus Log Data
Boase, J., & Ling, R. (2013) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12021 · Cited by 490
Smartphone Use, Work–Home Interference, and Burnout: A Diary Study on the Role of Recovery
Derks, D., & Bakker, A. B. (2012) · Applied Psychology · doi:10.1111/j.1464-0597.2012.00530.x · Cited by 466
Smartphone addiction, daily interruptions and self-reported productivity
Duke, É., & Montag, C. (2017) · Addictive Behaviors Reports · doi:10.1016/j.abrep.2017.07.002 · Cited by 466
Elhai, J. D., Levine, J. C., Dvorak, R. D., & Hall, B. J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.023 · Cited by 397
Self-citationThe role of stress and motivation in problematic smartphone use among college students
Wang, J.-L., Wang, H.-Z., Gaskin, J., & Wang, L.-H. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.005 · Cited by 317
Depression and social anxiety in relation to problematic smartphone use
Elhai, J. D., Tiamiyu, M. F., & Weeks, J. W. (2018) · Internet Research · doi:10.1108/intr-01-2017-0019 · Cited by 233
Self-citationDepression and emotion regulation predict objective smartphone use measured over one week
Elhai, J. D., Tiamiyu, M. F., Weeks, J. W., Levine, J. C., Picard, K. J., & Hall, B. J. (2018) · Personality and Individual Differences · doi:10.1016/j.paid.2017.04.051 · Cited by 232
Self-citationGray, C. B. (2010) · BRILL eBooks · doi:10.1163/9789042030084_006 · Cited by 209
Cross-generational analysis of predictive factors of addictive behavior in smartphone usage
Zhitomirsky-Geffet, M., & Blau, M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.07.061 · Cited by 186
Kobayashi, T., & Boase, J. (2012) · Communication Methods and Measures · doi:10.1080/19312458.2012.679243 · Cited by 155
Rozgonjuk, D., Saal, K., & Täht, K. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15010092 · Cited by 138
Self-citationGriffiths, M. D. (2017) · Addiction · doi:10.1111/add.13828 · Cited by 125
Dunkley, D. M., Sanislow, C. A., Grilo, C. M., & McGlashan, T. H. (2008) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2008.09.004 · Cited by 101
Elhai, J. D., Hall, B. J., Levine, J. C., & Dvorak, R. D. (2017) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2017-2-3 · Cited by 86
Self-citationKim, H.-J., Min, J.-Y., Kim, H.-J., & Min, K.-B. (2019) · Journal of Mental Health · doi:10.1080/09638237.2017.1370641 · Cited by 80
Developing a shorter version of the Estonian Smartphone Addiction Proneness Scale (E-SAPS18)
Rozgonjuk, D., Rosenvald, V., Janno, S., & Täht, K. (2016) · Cyberpsychology Journal of Psychosocial Research on Cyberspace · doi:10.5817/cp2016-4-4 · Cited by 72
Self-citationSubstance and behavioral addictions may share a similar underlying process of dysregulation
Sussman, S. Y., Rozgonjuk, D., & van den Eijnden, R. J. J. M. (2017) · Addiction · doi:10.1111/add.13825 · Cited by 71
Self-citationPTSD's relation with problematic smartphone use: Mediating role of impulsivity
Contractor, A. A., Weiss, N. H., Tull, M. T., & Elhai, J. D. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.05.018 · Cited by 63
Self-citation
Flagged first, then by citations
1 of the 44 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Parry, D. A., Davidson, B. I., Sewall, C. J. R., Fisher, J. T., Mieczkowski, H., & Quintana, D. S. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01117-5 · Cited by 793
Busch, P. A., & McCarthy, S. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106414 · Cited by 657
Smartphone addiction is increasing across the world: A meta-analysis of 24 countries
Olson, J. A., Sandra, D. A., Colucci, É. S., Bikaii, A. A., Chmoulevitch, D., Nahas, J., Raz, A., & Veissière, S. P. L. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107138 · Cited by 474
Yang, J., Fu, X. B., Liao, X., & Li, Y. (2019) · Psychiatry Research · doi:10.1016/j.psychres.2019.112686 · Cited by 429
Elhai, J. D., Yang, H., & Montag, C. (2020) · Brazilian Journal of Psychiatry · doi:10.1590/1516-4446-2020-0870 · Cited by 527
Self-citation
Metadata
- Authors
- Rozgonjuk, D., Levine, J. C., Hall, B. J., & Elhai, J. D.
- Affiliations
- University of Tartu (EE)
- University of Toledo (US)
- Johns Hopkins University (US)
- Corresponding author
- Rozgonjuk, Dmitri
- Hall, Brian J.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 87
- Pages
- 10-17
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2803663223
- Cited by
- 327
- References
- 44
- Citations by year
- 2026: 28 · 2025: 38 · 2024: 43 · 2023: 42 · 2022: 40 · 2021: 56 · 2020: 47 · 2019: 28 · 2018: 5
- FWCI
- 77.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Computers in Human Behavior (publishedVersion)
- 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
- smartphone addiction, depression, anxiety, screen time, university students, latent growth curve models
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review