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Relationships among smartphone addiction, anxiety, and family relations
Abstract
Smartphones have become ubiquitous in people’s lives to an extent that necessitates the investigation of their negative impact. The scarcity of such investigations triggered our interest in examining the relationships among smartphone addiction, anxiety, and family relations. A total of 381 university students participated in an online survey composed of demographic information, the Smartphone Addiction Scale – Short Version, and the Beck Anxiety Inventory. Binary logistic regression analysis and structural equation modelling showed that undergraduate students who had smartphone addiction demonstrated greater odds of having high anxiety compared to those who were not addicted, and students who had high anxiety exhibited greater odds of having clinically significant problems in their family relations. Nevertheless, path analysis showed that anxiety mediated a positive relationship between smartphone addiction and problematic family relations.
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“Hawi and Samaha (2017) identified anxiety as mediating this relationship.”
From Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area (2021) · cites this paper as Hawi and Samaha, 2017
Citations
Cites
An inventory for measuring clinical anxiety: Psychometric properties.
Beck, A. T., Epstein, N., Brown, G., & Steer, R. A. (1988) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.56.6.893 · Cited by 14,407
Werner, E. Ε., & Smith, R. S. (1992) · Cornell University Press eBooks · doi:10.7591/9781501711992 · Cited by 2,896
The Smartphone addiction scale: development and validation of a short version for adolescents
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0083558 · Cited by 2,177
Development 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
Social Measurement: Current Issues
Bohrnstedt, G. W., & Borgatta, E. F. (1981) · Medical Entomology and Zoology · Cited by 1,394
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
Self-citationThe dark side of smartphone usage: Psychological traits, compulsive behavior and technostress
Lee, Y., Chang, C., Lin, Y., & Cheng, Z. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.047 · Cited by 1,115
Lepp, A., Barkley, J. E., & Karpinski, A. C. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2013.10.049 · Cited by 990 · cited 1×
“…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…”
BackgroundSmartphone use and smartphone addiction among young people in Switzerland
Haug, S., Castro, R. P., Kwon, M., Filler, A., Kowatsch, T., & Schaub, M. P. (2015) · Journal of Behavioral Addictions · doi:10.1556/2006.4.2015.037 · Cited by 903
Introduction to Structural Equation Modelling Using SPSS and AMOS
Blunch, N. J. (2008) · SAGE Publications Ltd eBooks · doi:10.4135/9781446249345 · Cited by 777
The invisible addiction: Cell-phone activities and addiction among male and female college students
Roberts, J., Yaya, L., & Manolis, C. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.015 · Cited by 711
Hawi, N. S., & Samaha, M. (2017) · Social Science Computer Review · doi:10.1177/0894439316660340 · Cited by 618
Self-citationDevelopment and validation of the Smartphone Addiction Inventory (SPAI)
Lin, Y.-H., Chang, L.-R., Lee, Y.-H., Tseng, H.-W., Kuo, T. B. J., & Chen, S.-H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098312 · Cited by 611
Hong, F.-Y., Chiu, S.-I., & Huang, D.-H. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.06.020 · Cited by 568
Factors associated with Internet addiction among adolescents
Lam, L. T., Peng, Z.-W., Mai, J.-C., & Jing, J. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2009.0036 · Cited by 531
Beranuy, M., Oberst, U., Carbonell, X., & Chamarro, A. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.03.001 · Cited by 498
Family factors of Internet addiction and substance use experience in Taiwanese adolescents
Yen, J.-Y., Yen, C.-F., Chen, C.-C., Chen, S.-H., & Ko, C.-H. (2007) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9948 · Cited by 481
Smartphone addiction and its relationship with social anxiety and loneliness
Enez Darcin, A., Kose, S., Noyan, C. O., Nurmedov, S., Yılmaz, O., & Dilbaz, N. (2016) · Behaviour & Information Technology · doi:10.1080/0144929x.2016.1158319 · Cited by 447
The Beck Anxiety Inventory in a non-clinical sample
Creamer, M. C., Foran, J. M., & Bell, R. (1995) · Behaviour Research and Therapy · doi:10.1016/0005-7967(94)00082-u · Cited by 424
Park, S. K., Kim, J. Y., & Cho, C. B. (2008) · PubMed · Cited by 421
López-Fernández, O. (2015) · Addictive Behaviors · doi:10.1016/j.addbeh.2015.11.013 · Cited by 397
Prevalence of problematic mobile phone use in British adolescents.
Lopez-Fernandez, O., Honrubia-Serrano, L., Freixa-Blanxart, M., & Gibson, W. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2012.0260 · Cited by 371
Hawi, N. S., & Samaha, M. (2016) · Computers & Education · doi:10.1016/j.compedu.2016.03.007 · Cited by 360
Self-citationDemirci, K., Orhan, H., Demirdaş, A., Akpınar, A., & Sert, H. (2014) · Klinik Psikofarmakoloji Bülteni-Bulletin of Clinical Psychopharmacology · doi:10.5455/bcp.20140710040824 · Cited by 303
Charlton, J. P., & Danforth, I. D. W. (2009) · Behaviour and Information Technology · doi:10.1080/01449290903401978 · Cited by 261
Impulsivity in Internet Addiction: A Comparison with Pathological Gambling
Lee, H. W., Choi, J., Shin, Y.-C., Lee, J., Jung, H. Y., & Kwon, J. S. (2012) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0063 · Cited by 255
Noyan, C., Darcin, A., Nurmedov, S., Yilmaz, O., & Dilbaz, N. (2015) · Anatolian Journal of Psychiatry · doi:10.5455/apd.176101 · Cited by 254
Li, W., Garland, E. L., & Howard, M. O. (2013) · Computers in Human Behavior · doi:10.1016/j.chb.2013.11.004 · Cited by 246
Effects of smartphone overuse on hand function, pinch strength, and the median nerve
İnal, E. E., Demirci, K., Cetinturk, A., Akgönül, M., & Savaş, S. (2015) · Muscle & Nerve · doi:10.1002/mus.24695 · Cited by 235
Dalbudak, E., Evren, C., Aldemir, S., Coskun, K. S., Ugurlu, H., & Yıldırım, F. G. (2013) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2012.0390 · Cited by 217
CRF receptor 1 regulates anxiety behavior via sensitization of 5-HT2 receptor signaling
Magalhães, A. C., Holmes, K. D., Dale, L. B., Comps‐Agrar, L., Lee, D., Yadav, P. N., Drysdale, L., Poulter, M. O., Roth, B. L., Pin, J., et al. (2010) · Nature Neuroscience · doi:10.1038/nn.2529 · Cited by 198
Ko, C.-H., Liu, T.-L., Wang, P.-W., Chen, C.-S., Yen, C.-F., & Yen, J.-Y. (2014) · Comprehensive Psychiatry · doi:10.1016/j.comppsych.2014.05.003 · Cited by 187
Magán, I., Sanz, J., & García-Vera, M. P. (2008) · The Spanish Journal of Psychology · doi:10.1017/s1138741600004637 · Cited by 157
Internet addiction among adolescents in Lebanon
Hawi, N. S. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.01.007 · Cited by 152
Self-citationMüller, K. W., Glaesmer, H., Brähler, E., Wölfling, K., & Beutel, M. E. (2013) · Behaviour and Information Technology · doi:10.1080/0144929x.2013.810778 · Cited by 145
The Beck Anxiety Inventory in nonclinical samples: Initial psychometric properties
Borden, J. W., Peterson, D. R., & Jackson, E. A. (1991) · Journal of Psychopathology and Behavioral Assessment · doi:10.1007/bf00960446 · Cited by 123
Uso problemático de Internet y móvil en adolescentes y jóvenes españoles
Carbonell, X., Chamarro, A., Griffiths, M., & Talarn, A. (2012) · Anales de Psicología · doi:10.6018/analesps.28.3.156061 · Cited by 121
Are we addicted to our cell phones?
Sapacz, M., Rockman, G., & Clark, J. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.004 · Cited by 116
Kabasakal, Z. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.019 · Cited by 80
Associations between screen media parenting practices and children’s screen time in Lebanon
Samaha, M., & Hawi, N. S. (2016) · Telematics and Informatics · doi:10.1016/j.tele.2016.06.002 · Cited by 80
Self-citationInternet addiction and sleep disturbance symptoms among Turkish high school students
Canan, F., Yıldırım, O., Sinani, G., Öztürk, Ö., Ustunel, T. Y., & Ataoğlu, A. (2013) · Sleep and Biological Rhythms · doi:10.1111/sbr.12022 · Cited by 70
Impact of e-Discipline on Children's Screen Time
Hawi, N. S., & Rupert, M. S. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0608 · Cited by 68
Self-citationValidation of the Arabic Version of the Internet Gaming Disorder-20 Test
Hawi, N. S., & Samaha, M. (2017) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2016.0493 · Cited by 51
Self-citationDevelopment and Validation of the Smartphone Addiction Inventory
Kang, H., & ChangHo, P. (2012) · Cited by 23
Journal of Neurology and Psychology
(2026) · Journal of Neurology and Psychology · doi:10.13188/2332-3469 · Cited by 16
Smartphone Usage, Social Relations and Life Satisfaction of Hong Kong College Students
Chui, R. C. F. (2014) · Springer eBooks · doi:10.1007/978-981-287-209-8_16 · Cited by 15
Samaha, M., & Hawi, N. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.001 · Cited by 12
Self-citation
Research works printed but not linked: 7
- Beck, A. T., and R. A. Steer. 1990. Manual for the Beck Anxiety Inventory. San Antonio, TX: Psychological Corporation.
- Browne, M. W., R. Cudeck, K. A. Bollen, and J. S. Long. 1993. “Alternative Ways of Assessing Model Fit.” Sage Focus Editions 154: 136–136.
- Dahlstrom, E., and J. Bichsel. 2014. ECAR Study of Undergraduate Students and Information Technology, 2014. Educause. Louisville, CO: ECAR.
- Hawi N. S. and M. Samaha. 2016a. Effects of Technologies on 9-Year Old Children. In International Arab Conference on Information Technology Yassmine Hammamet Tunisia.
- 10.1177/0894439316660340 · DOI · Paper page
- Hudson, W. W. 1992. The WALMYR Assessment Scales Scoring Manual. Tempe, AZ: WALMYR Pub. Co.
- Kibona, L., and G. Mgaya. 2015. “Smartphones’ Effects on Academic Performance of Higher Learning Students.” Journal of Multidisciplinary Engineering Science and Technology 2 (4): 777–784.
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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., Levine, J. C., & Hall, B. J. (2018) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2018.11.005 · Cited by 377
Media use and acute psychological outcomes during COVID-19 outbreak in China
Chao, M., Xue, D., Liu, T., Yang, H., & Hall, B. J. (2020) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2020.102248 · Cited by 300
Internet gaming disorder in Lebanon: Relationships with age, sleep habits, and academic achievement
Hawi, N. S., Samaha, M., & Griffiths, M. D. (2018) · Journal of Behavioral Addictions · doi:10.1556/2006.7.2018.16 · Cited by 235
Self-citation
Metadata
- Authors
- Hawi, N. S., & Samaha, M.
- Affiliations
- Notre Dame University – Louaize (LB)
- Corresponding author
- Samaha, Maya
- ORCID
- Samaha, Maya
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2017-06-07
- Volume
- 36
- Issue
- 10
- Pages
- 1046-1052
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W2622657021
- Cited by
- 190
- References
- 51
- Citations by year
- 2026: 13 · 2025: 20 · 2024: 22 · 2023: 20 · 2022: 29 · 2021: 26 · 2020: 24 · 2019: 18 · 2018: 8 · 2017: 6
- FWCI
- 39.21
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour and Information Technology (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Council for Scientific Research (3661/S)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- smartphone addiction, anxiety, family relationships, mediation, university students
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