Smartphone addiction is considered currently as a public health concern especially among university students.
Aim:
The study assesses the prevalence of smartphone addiction and its sociodemographic and psychiatric correlates among Egyptian university students.
Methods:
A random sample of 1,380 undergraduate Egyptian university students from different universities were assessed using the smartphone addiction short scale, Beck depression Inventory, Beck anxiety Inventory, Pittsburgh sleep Quality Index, and Columbia suicide severity scale.
Results:
About 59% are smartphone addicts without any gender difference, we find a highly significant relation between smartphone addiction and depression, anxiety, sleep disturbance, smoking, and suicide.
Conclusion:
our study adds to the existing literature regarding the magnitude of smartphone addiction and its relationship with different psychiatric disorders.
Abdel-KhalekA. M. (1998). Internal consistency of an Arabic adaptation of the Beck depression inventory in four Arab countries. Psychological Reports, 82(1), 264–266. https://doi.org/10.2466/pr0.1998.82.1.264
2.
Abu-JedyA. (2008). Mobile phone addiction and its relationship with self-disclosure among sample of students from University of Jordan and Amman Al-Ahliyya University. Jordan Journal of Educational Science, 4(2), 137–150.
3.
AkhtarP.MaL.WaqasA.NaveedS.LiY.RahmanA.WangY. (2020). Prevalence of depression among university students in low and middle income countries (LMICs): A systematic review and meta-analysis. Journal of Affective Disorders, 274, 911–919. https://doi.org/10.1016/j.jad.2020.03.183. PMID:32664032.
4.
AlAmerM.ShdaifatE.AlshowkanA.EldeenA. G.JamamaA. (2020). Exploring associations between Internet addiction, depressive symptoms, and sleep disturbance among Saudi nursing students. The Open Nursing Journal, 14, 29–36. https://doi.org/10.2174/1874434602014010029
5.
AlhazmiA. A.AlzahraniS. H.BaigM.SalawatiE. M.AlkatheriA. (2018). Prevalence and factors associated with smartphone addiction among medical students at King Abdulaziz University, Jeddah. Pakistan Journal of Medical Sciences, 34(4), 984–988. https://doi.org/10.12669/pjms.344.15294. PMID:30190766.
6.
Al-ShattiD. T. S. (2015). Psychometric properties of the Arabic version of the Beck Anxiety Inventory in the state of Kuwait. Journal of Educational & Psychological Sciences, 16, 431–463.
7.
AuerbachR. P.MortierP.BruffaertsR.AlonsoJ.BenjetC.CuijpersP.DemyttenaereK.EbertD. D.GreenJ. G.HaskingP.MurrayE.NockM. K.Pinder-AmakerS.SampsonN. A.SteinD. J.VilagutG.ZaslavskyA. M.KesslerR. C.; WHO WMH-ICS Collaborators. (2018). WHO World Mental Health surveys international college student project: Prevalence and distribution of mental disorders. Journal of Abnormal Psychology, 127(7), 623–638. https://doi.org/10.1037/abn0000362
8.
BeckA. T.EpsteinN.BrownG.SteerR. A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56, 893–897. https://doi.org/10.1037/0022-006X.56.6.893. PMID:3204199.
BeckerS. P.DvorskyM. R.HoldawayA. S.LuebbeA. M. (2018). Sleep problems and suicidal behaviors in college students. Journal of Psychiatric Research, 99, 122–128. https://doi.org/10.1016/j.jpsychires.2018.01.009. PMID: 29448236; PMCID: PMC5962276.
11.
BillieuxJ.Van der LindenM.RochatL. (2008). The role of impulsivity in actual and problematic use of the mobile phone. Applied Cognitive Psychology, 22(9), 1195–1210. https://doi.org/10.1002/acp.1429
12.
BuysseD. J.ReynoldsC. F.3rdMonkT. H.BermanS. R.KupferD. J. (1989). The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Research, 28(2), 193–213. https://doi.org/10.1016/0165-1781(89)90047-4. PMID:2748771.
13.
ÇağanÖ.ÜnsalA.ÇelikN. (2014). Evaluation of college students’ the level of addiction to cellular phone and investigation on the relationsship between the addiction and the level of depression. Procedia - Social and Behavioral Sciences, 114, 831–839. https://doi.org/10.1016/j.sbspro.2013.12.793
14.
CazzulinoF.BurkeR. V.MullerV.ArbogastH.UppermanJ. S. (2014). Cell phones and young drivers: A systematic review regarding the association between psychological factors and prevention. Traffic Injury Prevention, 15(3), 234–242. PMID: 24372495 https://doi.org/10.1080/15389588.2013.822075
15.
ChenB.LiuF.DingS.YingX.WangL.WenY. (2017). Gender differences in factors associated with smartphone addiction: A cross-sectional study among medical college students. BMC Psychiatry, 17(1), 341. https://doi.org/10.1186/s12888-017-1503-z PMID:29017482.
16.
DemirciK.AkgönülM.AkpinarA. (2015). Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. Journal of Behavioral Addictions, 4(2), 85–92. https://doi.org/10.1556/2006.4.2015.010. PMID:26132913.
17.
ElwasifyM.BarakatD. H.FawzyM.ElwasifyM.RashedI.RadwanD. N. (2016). Quality of sleep in a sample of Egyptian medical students. Middle East Current Psychiatry, 23(4), 200–207. https://doi.org/10.1097/01.xme.0000490933.67457.d4
18.
EskinM.AlBuhairanF.RezaeianM.Abdel-KhalekA. M.HarlakH.El-NayalM.AsadN.KhanA.MechriA.NoorI. M.HamdanM.IsayevaU.KhaderY.Al SayyariA.KhaderA.BehzadiB.ÖztürkC. Ş.HendarminL. A.KhanM. M.KhatibS. (2019, March). Suicidal thoughts, attempts and motives among university students in 12 Muslim-majority countries. Psychiatric Quarterly, 90(1), 229–248. https://doi.org/10.1007/s11126-018-9613-4. PMID:30498939.
19.
GaurA. (2019). Relationship between smartphone addiction severity and depression among college students. International Journal of Indian Psychology, 7, 19–29. https://doi.org/10.25215/0702.004
GrantJ. E.LustK.ChamberlainS. R. (2019). Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. Journal of Behavioral Addictions, 8(2), 335–342. https://doi.org/10.1556/2006.8.2019.32. PMID:31257917.
22.
GriffithsM. (2005). A “components” model of addiction within a biopsychosocial framework. Journal of Substance Use, 10(4), 191–197. https://doi.org/10.1080/14659890500114359
HawiN. S.SamahaM. (2016). To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance. Computers & Education, 98, 81–89. https://doi.org/10.1016/j.compedu.2016.03.007
25.
HawiN. S.SamahaM. (2017). Relationships among smartphone addiction, anxiety, and family relations. Behaviour & Information Technology, 36(10), 1046–1052. https://doi.org/10.1080/0144929X.2017.1336254
26.
HeathertonT. F.KozlowskiL. T.FreckerR. C.FagerströmK. O. (1991). The Fagerström test for nicotine dependence: A revision of the Fagerström Tolerance Questionnaire. British Journal of Addiction, 86(9), 1119–1127. https://doi.org/10.1111/j.1360-0443.1991.tb|01879.xPMID:1932883.
27.
HershnerS. D.ChervinR. D. (2014). Causes and consequences of sleepiness among college students. Nature and Science of Sleep, 6, 73–84. https://doi.org/10.2147/NSS.S62907. PMID:25018659.
28.
HorganA.KellyP.GoodwinJ.BehanL. (2018). Depressive symptoms and suicidal ideation among Irish undergraduate college students. Issues in Mental Health Nursing, 39(7), 575–584. https://doi.org/10.1080/01612840.2017.1422199. PMID:29465285.
29.
İnalE. E.Demi̇rci̇K.Çeti̇ntürkA.AkgönülM.SavaşS. (2015). Effects of smartphone overuse on hand function, pinch strength, and the median nerve. Muscle & Nerve, 52, 183–188. https://doi.org/10.1002/mus.24695. PMID:25914119.
30.
IqbalS.GuptaS.VenkataraoE. (2015, March). Stress, anxiety and depression among medical undergraduate students and their socio-demographic correlates. The Indian Journal of Medical Research, 141(3), 354–357. https://doi.org/10.4103/0971-5916.156571. PMID:25963497.
31.
IslamM. A.BarnaS. D.RaihanH.KhanM. N. A.HossainM. T. (2020). Depression and anxiety among university students during the COVID-19 pandemic in Bangladesh: A web-based cross-sectional survey. PLoS One, 15(8), e0238162. https://doi.org/10.1371/journal.pone.0238162. PMID:32845928.
32.
KassimS.SalamM.CroucherR. (2012). Validity and reliability of the Fagerstrom test for cigarette dependence in a sample of Arabic speaking UK-resident Yemeni khat chewers. Asian Pacific Journal of Cancer Prevention, 13(4), 1285–1288. https://doi.org/10.7314/apjcp.2012.13.4.1285. PMID:22799320.
33.
KimD.LeeY.LeeJ.NamJ. K.ChungY. (2014). Development of Korean smartphone addiction proneness scale for youth. PLoS One, 9(5), e97920. https://doi.org/10.1371/journal.pone.0097920. PMID:24848006.
34.
KimR.LeeK. J.ChoiY. J. (2015). Mobile phone overuse among elementary school students in Korea: Factors associated with mobile phone use as a behavior addiction. Journal of Addictions Nursing, 26(2), 81–85. https://doi.org/10.1097/JAN.0000000000000074
35.
KimS. G.ParkJ.KimH. T.PanZ.LeeY.McIntyreR. S. (2019). The relationship between smartphone addiction and symptoms of depression, anxiety, and attention-deficit/hyperactivity in South Korean adolescents. Annals of General Psychiatry, 18, 1. https://doi.org/10.1186/s12991-019-0224-8. PMID:30899316.
36.
KimY.LeeN.LimY. (2017). Gender differences in the association of smartphone addiction with food group consumption among Korean adolescents. Public Health, 145, 132–135. https://doi.org/10.1016/j.puhe.2016.12.026
37.
KoC. H.YenJ. Y.ChenC. C.ChenS. H.YenC. F. (2005). Gender differences and related factors affecting online gaming addiction among Taiwanese adolescents. The Journal of Nervous and Mental Disease, 193(4), 273–277. https://doi.org/10.1097/01.nmd.0000158373.85150.57
38.
KwonM.LeeJ. Y.WonW. Y.ParkJ. W.MinJ. A.HahnC.GuX.ChoiJ. H.KimD. J. (2013). Development and validation of a Smartphone Addiction Scale (SAS). PLoS One, 8(2), e56936. https://doi.org/10.1371/journal.pone.0056936. PMID:23468893.
39.
LeppA.BarkleyJ. E.KarpinskiA. C. (2014). The relationship between cell phone use, academic performance, anxiety, and satisfaction with life in college students. Computers in Human Behavior, 31, 343–350. https://doi.org/10.1016/j.chb.2013.10.049
40.
LevensonJ. C.ShensaA.SidaniJ. E.ColditzJ. B.PrimackB. A. (2016, April). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/10.1016/j.ypmed.2016.01.001. PMID:26791323.
41.
Lopez-FernandezO.Honrubia-SerranoL.Freixa-BlanxartM.GibsonW. (2014). Prevalence of problematic mobile phone use in British adolescents. Cyberpsychology Behavior and Social Networking, 17(2), 91–98. https://doi.org/10.1089/cyber.2012.0260. PMID:23981147.
42.
LuW.BianQ.SongY. Y.RenJ. Y.XuX. Y.ZhaoM. (2015). Prevalence and related risk factors of anxiety and depression among Chinese college freshmen. Journal of Huazhong University of Science and Technology, 35, 815–822. https://doi.org/10.1007/s11596-015-1512-4. PMID:26670430.
43.
MaatoukF.BarkallahM.MayW. (2011). Prevalence of cigarette smoking among Tunisian dental students. Preventive Medicine, 53, 435–436. https://doi.org/10.1016/j.ypmed.2011.09.010. PMID:21996549.
44.
MamunM. A.HossainM. S.GriffithsM. D. (2019). Mental health problems and associated predictors among Bangladeshi students. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-019-00144-8
45.
Matar BoumoslehJ.JaaloukD. (2017). Depression, anxiety, and smartphone addiction in university students: a cross sectional study. PLoS One, 12(8), e0182239. https://doi.org/10.1371/journal.pone.0182239. PMID:28777828.
46.
MohamedS. M.MostafaM. H. (2020). Impact of smartphone addiction on depression and self-esteem among nursing students. Nursing Open, 7, 1346–1353. https://doi.org/10.1002/nop2.506. PMID:32802355.
47.
MusumariP. M.TangmunkongvorakulA.SrithanaviboonchaiK.TechasrivichienT.SuguimotoS. P.Ono-KiharaM.KiharaM. (2018). Grit is associated with lower level of depression and anxiety among university students in Chiang Mai, Thailand: A cross-sectional study. PLoS One, 13(12), e0209121. https://doi.org/10.1371/journal.pone.0209121. PMID:30550597.
48.
NasserA. M. A.GengY.Al-WesabiS. A. (2020, March). The prevalence of smoking (cigarette and waterpipe) among university students in some Arab countries: A systematic review. Asian Pacific Journal of Cancer Prevention, 21(3), 583–591. https://doi.org/10.31557/APJCP.2020.21.3.583. PMID:32212782.
49.
OzcanB.AcimisN. M. (2021). Sleep quality in Pamukkale University students and its relationship with smartphone addiction. Pakistan Journal of Medical Sciences, 37(1), 206–211. https://doi.org/10.12669/pjms.37.1.3130. PMID:33437278.
50.
O’DonnellS.EpsteinL. H. (2019). Smartphones are more reinforcing than food for students. Addictive Behaviors, 90, 124–133. https://doi.org/10.1016/j.addbeh.2018.10.018. PMID:30390436.
PosnerK.BrownG. K.StanleyB.BrentD. A.YershovaK. V.OquendoM. A.CurrierG. W.MelvinG. A.GreenhillL.ShenS.MannJ. J. (2011). The Columbia-suicide Severity Rating Scale: Initial validity and internal consistency findings from three multisite studies with adolescents and adults. American Journal of Psychiatry, 168(12), 1266–1277. https://doi.org/10.1176/appi.ajp.2011.10111704. PMID:22193671.
54.
SahinS.OzdemirK.UnsalA.TemizN. (2013). Evaluation of mobile phone addiction level and sleep quality in university students. Pakistan Journal of Medical Sciences, 29(4), 913–918. https://doi.org/10.12669/pjms.294.3686. PMID:24353658.
55.
SfendlaA.LaitaM.NejjarB.SouirtiZ.TouhamiA. A. O.SenhajiM. (2018). Reliability of the Arabic Smartphone Addiction Scale and Smartphone Addiction Scale-short version in two different Moroccan samples. Cyberpsychology Behavior and Social Networking, 21(5), 325–332.
56.
ShamsuddinK.FadzilF.IsmailW. S.ShahS. A.OmarK.MuhammadN. A.JaffarA.IsmailA.MahadevanR. (2013). Correlates of depression, anxiety and stress among Malaysian university students. Asian Journal of Psychiatry, 6(4), 318–323. PMID: 23810140 https://doi.org/10.1016/j.ajp.2013.01.014
57.
ShanZ.DengG.LiJ.LiY.ZhangY.ZhaoQ. (2013). Correlational analysis of neck/shoulder pain and low back pain with the use of digital products, physical activity and psychological status among adolescents in Shanghai. PLoS One, 8(10), e78109. https://doi.org/10.1371/journal.pone.0078109. PMID:24147114.
58.
ShrivastavaA.SaxenaY. (2014). Effect of mobile usage on serum melatonin levels among medical students. Indian Journal of Physiology and Pharmacology, 58(4), 395–399.
59.
SongY.OhS.KimE.NaE.JungH.ParkS. (2007). Media user patterns of adolescentsin a multimedia environment: An assessment of gender and income differences. Journal of Communication Research, 46(2), 33–65. https://doi.org/10.22174/jcr.2009.46.2.33
60.
SuleimanK. H.YatesB. C.BergerA. M.PozehlB.MezaJ. (2010). Translating the Pittsburgh sleep quality index into Arabic. Western Journal of Nursing Research, 32(2), 250–268. https://doi.org/10.1177/0193945909348230. PMID:19915205.
61.
SzpakowA.StryzhakA.ProkopowiczW. (2011). Evaluation of threat of mobile phone – Addiction among Belarusian university students. Progress in Health Sciences, 1(2), 96–101.
62.
TossellC.KortumP.ShepardC.RahmatiA.ZhongL. (2015). Exploring smartphone addiction: Insights from long-term telemetric behavioral measures. International Journal of Interactive Mobile Technologies, 9, 37. https://doi.org/10.3991/ijim.v9i2.4300
63.
TranA.TranL.GeghreN.DarmonD.RampalM.BrandoneD.GozzoJ. M.HaasH.Rebouillat-SavyK.CaciH.AvillachP. (2017). Health assessment of French university students and risk factors associated with mental health disorders. PLoS One, 12(11), e0188187. https://doi.org/10.1371/journal.pone.0188187. PMID:29176864.
64.
VenkateshE.JemalM. Y. A.SamaniA. S. A. (2017, April6). Smart phone usage and addiction among dental students in Saudi Arabia: A cross sectional study. International Journal of Adolescent Medicine and Health, 31(1), 20160133. https://doi.org/10.1515/ijamh-2016-0133. PMID:28384117.
65.
VukomanovicI.KocicS.RadovanovicS.MihailovicN.VasiljevicD.VukomanovicV.; IS. (2017). The prevalence of cigarette smoking and its correlates of depressive and anxiety symptoms among university students in central Serbia. Tobacco Prevention and Cessation, 3(May Supplement), 18. https://doi.org/10.18332/tpc/73697
66.
WhitlockJ.EckenrodeJ.SilvermanD. (2006). Self-injurious behaviors in a college population. Pediatrics, 117, 1939–1948. https://doi.org/10.1542/peds.2005-2543. PMID:16740834.
67.
World Bank. (2021). Population, total - Egypt, Arab Rep. Data [online]. Retrieved June 2, 2021. World Bank.
68.
World Health Organization. (2015). Public health implications of excessive use of the internet, computers, smartphones and similar electronic devices (Meeting report). Foundation for Promotion of Cancer Research National Cancer Research Centre. Retrieved July 29, 2021, from https://apps.who.int/iris/rest/bitstreams/826746/retrieve
69.
YildirimC.SumuerE.AdnanM.YildirimS. (2016). A growing fear: Prevalence of nomophobia among Turkish college students. Information Development, 32(5), 1322–1331. https://doi.org/10.1177/0266666915599025
70.
YousifW.KhamisS. (2017). Prevalence and associated factors of stress, anxiety and depression among medical Fayoum University students. Alexandria Journal of Medicine, 53(1), 77–84. https://doi.org/10.1016/j.ajme.2016.01.005
71.
ZhangM. X.WuA. M. S. (2020). Effects of smartphone addiction on sleep quality among Chinese university students: The mediating role of self-regulation and bedtime procrastination. Addictive Behaviors, 111, 106552. https://doi.org/10.1016/j.addbeh.2020.106552
