The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Depression, anxiety, and smartphone addiction in university students- A cross sectional study
Open accessAbstract
OBJECTIVES: The study aims to assess prevalence of smartphone addiction symptoms, and to ascertain whether depression or anxiety, independently, contributes to smartphone addiction level among a sample of Lebanese university students, while adjusting simultaneously for important sociodemographic, academic, lifestyle, personality trait, and smartphone-related variables. METHODS: A random sample of 688 undergraduate university students (mean age = 20.64 ±1.88 years; 53% men) completed a survey composed of a) questions about socio-demographics, academics, lifestyle behaviors, personality type, and smartphone use-related variables; b) 26-item Smartphone Addiction Inventory (SPAI) Scale; and c) brief screeners of depression and anxiety (PHQ-2 and GAD-2), which constitute the two core DSM-IV items for major depressive disorder and generalized anxiety disorder, respectively. RESULTS: Prevalence rates of smartphone-related compulsive behavior, functional impairment, tolerance and withdrawal symptoms were substantial. 35.9% felt tired during daytime due to late-night smartphone use, 38.1% acknowledged decreased sleep quality, and 35.8% slept less than four hours due to smartphone use more than once. Whereas gender, residence, work hours per week, faculty, academic performance (GPA), lifestyle habits (smoking and alcohol drinking), and religious practice did not associate with smartphone addiction score; personality type A, class (year 2 vs. year 3), younger age at first smartphone use, excessive use during a weekday, using it for entertainment and not using it to call family members, and having depression or anxiety, showed statistically significant associations with smartphone addiction. Depression and anxiety scores emerged as independent positive predictors of smartphone addiction, after adjustment for confounders. CONCLUSION: Several independent positive predictors of smartphone addiction emerged including depression and anxiety. It could be that young adults with personality type A experiencing high stress level and low mood may lack positive stress coping mechanisms and mood management techniques and are thus highly susceptible to smartphone addiction.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“there is considerable evidence that vulnerable individuals (e.g., college students) who have lower self-control are easily addicted to the overuse of smartphone, which results in poor mental health such as anxiety [8,9], depression [10] and loneliness [11].”
From Comparative effectiveness of mind-body exercise versus cognitive behavioral therapy for college students with problematic smartphone use: A randomized controlled trial (2020) · cites this paper as [10]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Patient Health Questionnaire-2: Validity of a Two-Item Depression Screener
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2003) · Medical Care · doi:10.1097/01.mlr.0000093487.78664.3c · Cited by 6,359
Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection
Kroenke, K., Spitzer, R. L., Williams, J. B. W., Monahan, P. O., & Löwe, B. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-146-5-200703060-00004 · Cited by 4,741
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
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
The 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
Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J. F., & Grob, A. (2015) · Journal of Youth and Adolescence · doi:10.1007/s10964-014-0176-x · Cited by 940
Beginning the workday yet already depleted? Consequences of late-night smartphone use and sleep
Lanaj, K., Johnson, R. E., & Barnes, C. M. (2014) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2014.01.001 · Cited by 738
Bian, M., & Leung, L. (2015) · Social Science Computer Review · doi:10.1177/0894439314528779 · Cited by 669
Development 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
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 684
Transitions in smartphone addiction proneness among children: The effect of gender and use patterns
Chiang, J., Chang, F., Lee, K., & Hsu, S.-Y. (2019) · PLoS ONE · doi:10.1371/journal.pone.0217235 · Cited by 48
The Relationship between Mother’s Smartphone Addiction and Children’s Smartphone Usage
Kim, B., Han, S. R., Park, E. J., Yoo, H., Suh, S. A., & Shin, Y. (2021) · Psychiatry Investigation · doi:10.30773/pi.2020.0338 · Cited by 48
Rosenthal, S. R., Zhou, J., & Booth, S. T. (2021) · Human Behavior and Emerging Technologies · doi:10.1002/hbe2.256 · Cited by 45
Smartphone use and its addiction among adolescents in the age group of 16–19 years
Bhanderi, D., Pandya, Y., & Sharma, D. (2021) · Indian Journal of Community Medicine · doi:10.4103/ijcm.ijcm_263_20 · Cited by 46
Dey, M., Studer, J., Schaub, M. P., Gmel, G. E., Ebert, D. D., Lee, J. Y.-C., & Haug, S. (2019) · Journal of Behavioral Addictions · doi:10.1556/2006.8.2019.17 · Cited by 45
‘Digital Wellbeing’: The Need of the Hour in Today’s Digitalized and Technology Driven World!
Thomas, N. M., Choudhari, S. G., Gaidhane, A. M., & Zahiruddin, Q. S. (2022) · Cureus · doi:10.7759/cureus.27743 · Cited by 44
Xie, G., Wu, Q., Guo, X.-H., Zhang, J., & Yin, D. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1105840 · Cited by 48
Zhang, K., Guo, H., Wang, T., Zhang, J., Yuan, G., Ren, J., Zhang, X., Yang, H., Lu, X., Zhu, Z., et al. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1083856 · Cited by 44
Lu, C., Zou, L., Becker, B., D. Griffiths, M., Yu, Q., Chen, S.-T., Demetrovics, Z., Jiao, C., Chi, X., Chen, A., et al. (2020) · International Journal of Mental Health Promotion · doi:10.32604/ijmhp.2020.014419 · Cited by 42
“, college students) who have lower self-control are easily addicted to the overuse of smartphone, which results in poor mental health such as anxiety [8,9], depression [10] and loneliness [11].”
BackgroundPredictors of problematic smartphone use among university students
Laurence, P. G., Busin, Y., Lima, H. S. C., & de Macedo, E. C. (2020) · Psicologia Reflexão e Crítica · doi:10.1186/s41155-020-00147-8 · Cited by 48
Gökçearslan, Ş., Durak, H. Y., Berikan, B., & Sarıtepeci, M. (2021) · Social Science Quarterly · doi:10.1111/ssqu.12949 · Cited by 43
Hasan, H. A., Shihab, K. A., Mohammad, Z., Jahan, H., Coussa, A., & Faris, M. E. (2022) · Heliyon · doi:10.1016/j.heliyon.2023.e12882 · Cited by 42
Rosa, V. L. L., & Commodari, E. (2023) · European Journal of Investigation in Health Psychology and Education · doi:10.3390/ejihpe13080108 · Cited by 40
Kabadayı, F. (2024) · BMC Psychology · doi:10.1186/s40359-024-02117-6 · Cited by 41
Ren, Z., Tan, J., Huang, B., Cheng, J., Huang, Y., Xu, P., Fang, X., Li, H., Zhang, D., & Gao, Y. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19169942 · Cited by 38
Zhang, Y., Lv, S., Li, C., Xiong, Y., Zhou, C., Li, X., & Ye, M. (2020) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-020-0309-9 · Cited by 38
Okafor, C. J., Asibong, U., Asibong, I. U., Ayi, E., Omoronyia, O. E., & Udofia, O. (2020) · Nigerian Postgraduate Medical Journal · doi:10.4103/npmj.npmj_169_19 · Cited by 38
Kumban, W., Cetthakrikul, S., & Santiworakul, A. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22020237 · Cited by 37
He, D., Shen, X., & Liu, Q. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.105232 · Cited by 43
Dhamija, S., Shailaja, B., Chaudhari, B., Chaudhury, S., & Saldanha, D. (2021) · Industrial Psychiatry Journal · doi:10.4103/0972-6748.328813 · Cited by 38
Pyeon, A., Choi, J., Cho, H., Kim, J.-Y., Choi, I. Y., Ahn, K. J., Choi, J., Chun, J., & Kim, D. (2021) · Journal of Behavioral Addictions · doi:10.1556/2006.2021.00085 · Cited by 36
Zhou, D., Liu, J., Wang, T., Liu, J., & Li, G. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2021.107171 · Cited by 38
Joshi, S. C., Woodward, J., & Woltering, S. (2022) · Current Psychology · doi:10.1007/s12144-022-03830-4 · Cited by 42
Huey, M. J., & Giguere, D. (2022) · Innovative Higher Education · doi:10.1007/s10755-022-09638-1 · Cited by 35
Chen, W., Yan, L., Yuan, Y.-R., Zhu, X.-W., Zhang, Y., & Lian, S.-L. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.750511 · Cited by 36
Park, E. J., Hwang, S. S., Lee, M., & Bhang, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19094939 · Cited by 38
Zeidan, J., Hallit, S. R., Akel, M., Louragli, I., & Obeïd, S. (2021) · BMC Psychology · doi:10.1186/s40359-021-00638-y · Cited by 35
Alotaibi, M. S., Fox, M., Coman, R. L., Ratan, Z. A., & Hosseinzadeh, H. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19074397 · Cited by 37
Kim, H. R., & Han, M. A. (2020) · Psychiatry Investigation · doi:10.30773/pi.2020.0007 · Cited by 33
Nomophobia in healthcare: an observational study between nurses and students.
Marletta, G., Trani, S., Rotolo, G., Monte, M. C. D., Sarli, L., Artioli, G., Torre, P. L., & Pedrazzi, G. (2021) · Acta bio-medica dell'Ateneo parmense/Acta biomedica · doi:10.23750/abm.v92is2.11505 · Cited by 35
Jin, Y., Xiong, W., Liu, X., & An, J. (2023) · Behavioral Sciences · doi:10.3390/bs13030222 · Cited by 35
Bhatt, S., & Gaur, A. (2019) · Indian Journal of Public Health · doi:10.4103/ijph.ijph_330_18 · Cited by 34
Lim, P. K., Nordin, A. S. A., Yee, A. H. A., & Tan, S. B. (2020) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-019-00203-0 · Cited by 33
Ayandele, O., Popoola, O., & Oladiji, T. O. (2020) · Journal of Health Research · doi:10.1108/jhr-10-2019-0225 · Cited by 37
Gao, L., Yang, C., Yang, X., Chu, X., Liu, Q., & Zhou, Z. (2021) · Asian Journal Of Social Psychology · doi:10.1111/ajsp.12471 · Cited by 33
Wang, T., Wong, J. Y. H., Wang, M. P., Li, A. C. Y., Kim, S. S., & Lee, J. J. (2021) · Journal of Medical Internet Research · doi:10.2196/26733 · Cited by 33
Rathod, A., Ingole, A., Gaidhane, A. M., & Choudhari, S. G. (2022) · Cureus · doi:10.7759/cureus.30756 · Cited by 37
Bouazza, S., Soukaina, E., Abbouyi, S., Rhazi, K. E., & Zarrouq, B. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20042891 · Cited by 31
SHORT VERSION OF THE QUESTIONNAIRE "SCALE OF DEPENDENCE ON THE SMARTPHONE"
Шейнов, В. П. (2021) · Институт психологии Российской Академии Наук Организационная психология и психология труда · doi:10.38098/ipran.opwp.2021.18.1.005 · Cited by 47
Wickord, L.-C., & Quaiser-Pohl, C. M. (2022) · Behavioral Sciences · doi:10.3390/bs12020020 · Cited by 35
Depresi pada Komunitas dalam Menghadapi Pandemi COVID-19: A Systematic Review
Maulida, H., Jatimi, A., Heru, M. J. A., Munir, Z., & Rahman, H. F. (2020) · Jurnal Sains dan Kesehatan · doi:10.25026/jsk.v2i4.201 · Cited by 33
Yang, W., Morita, N., Zuo, Z., Kawaida, K., Ogai, Y., Saito, T., & Hu, W. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18052748 · Cited by 33
He, H., Wu, Q., Hao, Y., Chen, S., Liu, T., & Liao, Y. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.648059 · Cited by 30
The smartphone addiction, peer relationships and loneliness in adolescents
Erdem, E., & Efe, Y. S. (2021) · L Encéphale · doi:10.1016/j.encep.2021.06.009 · Cited by 35
Deng, X., Li, X., & Xiang, Y. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107988 · Cited by 29
El-Zoghby, S. M., Zaghloul, N., Tawfik, A. M., Elsherbiny, N. M., Shehata, S. A., & Soltan, E. M. (2024) · Journal of the Egyptian Public Health Association · doi:10.1186/s42506-024-00154-y · Cited by 30
Hanafi, E., Siste, K., Wiguna, T., Kusumadewi, I., & Nasrun, M. W. S. (2019) · PLoS ONE · doi:10.1371/journal.pone.0212244 · Cited by 29
Addictive smartphone use in the elderly: relationship with depression, anxiety and sleep quality
Karaş, H., Küçükparlak, İ., Özbek, M. G., & Yılmaz, T. (2022) · Psychogeriatrics · doi:10.1111/psyg.12910 · Cited by 30
Shi, Y., Tang, Z., Gan, Z., Hu, M., & Liu, Y. (2023) · International Journal of Public Health · doi:10.3389/ijph.2023.1605609 · Cited by 31
Alsalman, Z., Debel, F. A. A., Zakaria, F. M. A., Shafey, M., & Darwish, M. A. (2020) · Journal of Family and Community Medicine · doi:10.4103/jfcm.jfcm_140_19 · Cited by 29
Zhang, C., Jiang, Y., Zhu, C., Li, M., Quan, X., & Chen, F. (2022) · Current Psychology · doi:10.1007/s12144-022-03556-3 · Cited by 30
Distinct patterns of problematic smartphone use and related factors in Chinese college students
Hong, L., Lai, X., Xu, D., Zhang, W., Wu, B., Yu, X., Zhao, K., & Zhang, G. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-04395-z · Cited by 29
Akbari, M., Bahadori, M. H., Khanbabaei, S., Milan, B. B., Horváth, Z., Griffiths, M. D., & Demetrovics, Z. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107589 · Cited by 28
Shang, Z., Wang, D., Liu, Z., & Zhang, X. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.09.035 · Cited by 27
Malebari, A. M., Alamoudi, S. O., AL-Alawi, T. I., Alkhateeb, A. A., Albuqayli, A. S., & Alothmany, H. N. (2024) · Frontiers in Public Health · doi:10.3389/fpubh.2024.1441695 · Cited by 27
Smartphone dependence and its influence on physical and mental health
Zhu, W., Zhang, Y., Lan, Y., & Song, X. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1281841 · Cited by 27
Smartphone Addiction and Personality: Review of International Research
Шейнов, В. П. (2021) · Вестник Российского университета дружбы народов. Серия: Психология и педагогика · doi:10.22363/2313-1683-2021-18-1-235-253 · Cited by 36
Screen Time and Productivity: An Extension of Goal- setting Theory to Explain Optimum Smartphone Use
Abhari, K., & Vaghefi, I. (2022) · AIS Transactions on Human-Computer Interaction · doi:10.17705/1thci.00169 · Cited by 27
Mengistu, N., Habtamu, E., Kassaw, C., Madoro, D., Molla, W., Wudneh, A., Abebe, L., & Duko, B. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280724 · Cited by 30
Liu, X., Wang, Z., Zhang, C., Xu, J., Shen, Z., Peng, L., Mi, Y., & Liu, X. (2024) · Psychology Research and Behavior Management · doi:10.2147/prbm.s452993 · Cited by 28
COVID-19 Pandemi Sürecinde Bilişim Teknolojileri Bağımlılığı
Öztürk, A. (2021) · Ağrı İbrahim Çeçen Üniversitesi Sosyal Bilimler Enstitüsü Dergisi · doi:10.31463/aicusbed.903612 · Cited by 29
Chahar, R., Dubey, A. K., & Narang, S. K. (2021) · International Journal of Advanced Technology and Engineering Exploration · doi:10.19101/ijatee.2021.874198 · Cited by 28
Al. Qudah, M. F., Albursan, I. S., Hammad, H. I., Alzoubi, A. M., Bakhiet, S. F., Almanie, A. M., Alenizi, S. S., Aljomaa, S. S., & Al-Khadher, M. M. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph182111016 · Cited by 25
Abukhanova, A. B., Almukhambetova, B., Mamekova, A., Spatay, A., & Danikeyeva, A. (2024) · Frontiers in Education · doi:10.3389/feduc.2024.1365220 · Cited by 25
Sadeghi, N., Rezaeian, S., Janatolmakan, M., Heidarian, P., & Khatony, A. (2025) · BMC Medical Education · doi:10.1186/s12909-025-06902-8 · Cited by 25
Islam, M. (2021) · Healthcare · doi:10.3390/healthcare9091213 · Cited by 25
Rozgonjuk, D., Blinka, L., Löchner, N., Faltýnková, A., Husárová, D., & Montag, C. (2023) · Child and Adolescent Psychiatry and Mental Health · doi:10.1186/s13034-023-00620-z · Cited by 32
Li, Z., Liang, M., Lc, R., & Luo, Y. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642479 · Cited by 30
Factors influencing smartphone overdependence among adolescents
Noh, D., & Shim, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-58152-1 · Cited by 26
Jo, S., Baek, I. C., D, M. F. M., Mischoulon, D., Hong, J. P., Kim, H., Park, M. J., Kim, E. J., & Jeon, H. J. (2021) · Psychiatry Research · doi:10.1016/j.psychres.2021.114133 · Cited by 24
The relationship between smartphone use and dry eye disease
Al-Marri, K., Al-Qashoti, M., Al-Zoqari, H., Elshaikh, U. A. M., Naqadan, A., Saeed, R. K. M., Faraj, J., & Shraim, M. (2021) · Medicine · doi:10.1097/md.0000000000027311 · Cited by 24
An Empirical Comparison of Machine Learning Models for Student’s Mental Health Illness Assessment
Muzumdar, P., Basyal, G. P., & Vyas, P. (2022) · Asian Journal of Computer and Information Systems · doi:10.24203/ajcis.v10i1.6882 · Cited by 24
University student's mental stress detection using machine learning
Firoz, M., Islam, M. M., Shidujaman, M., Islam, A., & Habib, M. T. (2023) · International Conference on Mechatronics and Intelligent Robotics (ICMIR) · doi:10.1117/12.2690039 · Cited by 25
Alqaderi, N., Elamin, A. B. A., Abdelmonem, K. Y. A., Teir, H. J., & Andrade, G. E. (2023) · BMC Psychology · doi:10.1186/s40359-023-01320-1 · Cited by 28
Lee, M., Chung, S. J., Lee, Y., Park, S., Kwon, J.-G., Kim, D., Lee, D., & Choi, J. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17165806 · Cited by 27
Buabbas, A. J., Hasan, H., & Buabbas, M. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0251479 · Cited by 27
Jeong, J.-H., & Bae, S. (2024) · Psychiatry Investigation · doi:10.30773/pi.2022.0288 · Cited by 23
Üniversite Öğrencilerinde Akıllı Telefon Bağımlılığı
Kumcağız, H., Terzi, Ö., Koç, B., & Terzi, M. (2020) · İnsan ve Toplum Bilimleri Araştırmaları Dergisi · doi:10.15869/itobiad.629737 · Cited by 28
Cheung, F. Y.-L., Lun, V. M., & Wang, H. (2021) · Stress and Health · doi:10.1002/smi.3083 · Cited by 24
Selçuk, K. T., & Ayhan, D. (2019) · Perspectives In Psychiatric Care · doi:10.1111/ppc.12465 · Cited by 23
Smartphone addiction and personality traits among Lebanese adults: the mediating role of self-esteem
Sfeir, E., Hallit, S. R., Akel, M., Salameh, P., & Obeïd, S. (2021) · Psychology Health & Medicine · doi:10.1080/13548506.2021.1995886 · Cited by 23
Han, S. (2022) · Technology in Society · doi:10.1016/j.techsoc.2022.102002 · Cited by 27
Lapierre, M. A., & Custer, B. E. (2020) · Mobile Media & Communication · doi:10.1177/2050157920935163 · Cited by 28
Nighttime cell phone use and sleep quality in young adults
Joshi, S. C., Woodward, J., & Woltering, S. (2021) · Sleep and Biological Rhythms · doi:10.1007/s41105-021-00345-6 · Cited by 22
Machado, J., Pai, R. R., & Kotian, R. R. (2023) · Journal of Education and Health Promotion · doi:10.4103/jehp.jehp_981_22 · Cited by 22
Predictors of life satisfaction in the United Arab Emirates: Results based on Gallup data
Lambert, L., Karabchuk, T., & Joshanloo, M. (2020) · Current Psychology · doi:10.1007/s12144-020-00873-3 · Cited by 22
Kong, L., Zhao, M., Huang, W., Zhang, W., & Liu, J. (2025) · BMC Psychology · doi:10.1186/s40359-025-02696-y · Cited by 21
Hsieh, C.-Y. (2025) · Acta Psychologica · doi:10.1016/j.actpsy.2025.105374 · Cited by 21
Dou, X., Lu, J., Yu, Y., Yi, Y., & Zhou, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-71947-6 · Cited by 25
Joshi, S. C. (2022) · Sleep and Biological Rhythms · doi:10.1007/s41105-022-00388-3 · Cited by 21
Joshi, S. C., Woltering, S., & Woodward, J. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20021197 · Cited by 21
Marin-Dragu, S., Forbes, A., Sheikh, S., Iyer, R. S., dos Santos, D. P., Alda, M., Hájek, T., Uher, R., Wozney, L., Paulovich, F. V., et al. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115298 · Cited by 21
Jin, C., Fan, C., & Niu, J. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1289499 · Cited by 21
Zhang, Y., Han, M., Lian, S.-L., Cao, X., & Yan, L. (2024) · PLoS ONE · doi:10.1371/journal.pone.0293094 · Cited by 22
Sabbah, H., Berbari, R., Khamis, R., Zorkot, D., Sabbah, S., Droubi, N., & Sabbah, I. (2019) · Journal of Computer and Communications · doi:10.4236/jcc.2019.711007 · Cited by 21
Consequence of phubbing on psychological distress among the youth of Hyderabad
Bala, S., Tekkam, S., & Pandve, H. T. (2020) · Medical Journal of Dr D Y Patil Vidyapeeth · doi:10.4103/mjdrdypu.mjdrdypu_315_19 · Cited by 21
Tonacci, A., Billeci, L., Sansone, F., Masci, A., Pala, A. P., Domenici, C., & Conte, R. (2019) · Medicina · doi:10.3390/medicina55020037 · Cited by 21
Halk Sağlığı Gözüyle Akıllı Telefon Bağımlılığı ve Ergenlik
GULER, B. D., & Yılmazel, G. (2020) · Turkish Journal of Family Medicine & Primary Care · doi:10.21763/tjfmpc.730254 · Cited by 20
The Development of an Educational Outdoor Adventure Mobile App
Michalakis, V. I., Vaitis, M., & Klonari, A. I. (2020) · Education Sciences · doi:10.3390/educsci10120382 · Cited by 20
Zhao, H., Rafik-Galea, S., Fitriana, M., & Song, T. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1092893 · Cited by 21
Metadata
- Authors
- Matar Boumosleh, J., & Jaalouk, D.
- Affiliations
- Notre Dame University – Louaize (LB)
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-08-04
- Volume
- 12
- Issue
- 8
- Pages
- e0182239
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5544206
- OpenAlex
- W2743889434
- Cited by
- 668
- References
- 21
- Citations by year
- 2026: 50 · 2025: 66 · 2024: 88 · 2023: 103 · 2022: 101 · 2021: 96 · 2020: 92 · 2019: 42 · 2018: 29 · 2017: 1
- FWCI
- 114.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- 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, depression, anxiety, university students, compulsive smartphone use, sleep quality, predictors of addiction, Lebanese university students
- MeSH terms
- Smartphone, Adolescent, Adult, Anxiety Disorders, Cross-Sectional Studies, Depressive Disorder, Female, Humans, Lebanon, Male, Surveys and Questionnaires, Students, Universities, Behavior, Addictive, Young Adult
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
