Health Psychology Research / HPR / Online First / DOI: 10.14440/hpr.2589845
RESEARCH ARTICLE

Maladaptive Smartphone use among Jordanian Adolescents: Prevalence, Correlations, and the Role of Cognitive Emotion Regulation

Fatimah S. Tarawneh1 Alaa Abuattallah2 Latefa Ali Dardas3*
Show Less
1 Princess Muna College of Nursing, Mutah University, Al-kark 61710, Jordan
2 Department of Maternal and Child Health Nursing, Faculty of Nursing, Applied Science Private University, Faculty of Nursing, Amman 11937, Jordan
3 Department of Community Health Nursing, School of Nursing, University of Jordan, Amman 11942, Jordan
Submitted: 10 February 2025 | Accepted: 6 March 2025 | Published: 4 August 2025
© 2025 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

Background

Maladaptive smartphone use (MSU) has emerged as a significant concern, particularly among adolescents. In Jordan, a country with a youthful population and high rates of smartphone engagement, understanding MSU and its psychological impacts is crucial.

Objective

The study aims to (i) determine the point prevalence and patterns of MSU among Jordanian adolescents, and (ii) examine whether cognitive emotion regulation strategies mediate the relationship between MSU and psychological health.

Methods

A cross-sectional, descriptive, correlational survey was conducted. Using a multistage sampling approach, the study targeted students aged 13 – 17 in Jordanian public and private schools, with schools randomly selected from each region. A structured questionnaire assessed sociodemographic data, smartphone addiction, cognitive emotion regulation, and psychological health targeting depression, anxiety, and stress.

Results

Among the 960 students who participated, 36% exhibited signs of MSU. Adolescents with high MSU reported significantly higher maladaptive cognitive emotion regulation strategies than those with low MSU. Factors such as age, gender, socioeconomic status, and academic performance influenced MSU levels. Maladaptive emotion regulation strategies partially mediated the relationship between MSU and psychological health, with high MSU linked to greater levels of emotional distress.

Conclusion

This study reveals a significant prevalence of MSU among Jordanian adolescents, with notable demographic variations. It proposes a link between MSU and psychological health, emphasizing the mediating role of cognitive emotion regulation. These results contribute to the growing body of literature on smartphone use behaviors and their psychological implications, particularly within the context of Jordanian adolescents. The study’s insights are relevant for developing targeted interventions to mitigate MSU and its psychological impacts.

Keywords
Maladaptive smartphone use
School adolescents
Jordan
Internet addiction
Funding
This study was funded by the University of Jordan Deanship of Scientific Research (Grant number 18/2023).
Conflict of interest
The authors declare no competing interests.
References
[1]
  1. Sangeetha S, Inturi R, Srikanth A, Hariprasath T, Abishavarthana P, Samyuktha S. On-Device Application Categorization using Application Resources. United States: IEEE; 2023. p. 1-6.

 

  1. Jay A. Number of Smartphone and Mobile Phone Users Worldwide in 2022/2023: Demographics, Statistics, Predictions. FinancesOnline. Available from: https://financesonline/com/number-of/2023 [Last accessed on 2023 Jan 15].

 

  1. Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict. 2018;7(2):252- 259. doi: 10.1556/2006.7.2018.49

 

  1. Fischer-Grote L, Kothgassner OD, Felnhofer A. Risk factors for problematic smartphone use in children and adolescents: A review of existing literature. Neuropsychiatr. 2019;33(4):179-190. doi: 10.1007/s40211-019-00319-8

 

  1. Rahmillah FI, Tariq A, King M, Oviedo- Trespalacios O. Is distraction on the road asso­ciated with maladaptive mobile phone use? A systematic review. Accid Anal Prev. 2023;181:106900. doi: 10.1016/j.aap.2022.106900

 

  1. Körmendi A. Smartphone usage among adoles­cents. Psychiatr Hung. 2015;30(3):297-302.

 

  1. Wacks Y, Weinstein AM. Excessive smart­phone use is associated with health problems in adolescents and young adults. Front Psychiatry. 2021;12:669042. doi: 10.3389/fpsyt.2021.669042

 

  1. Kim HJ, Min JY, Min KB, Lee TJ, Yoo S. Relationship among family environment, self-con­trol, friendship quality, and adolescents’ smart­phone addiction in South Korea: Findings from nationwide data. PLoS One. 2018;13(2):e0190896. doi: 10.1371/journal.pone.0190896

 

  1. Lee H, Kim J. A structural equation model on Korean adolescents’ excessive use of smartphones. Asian Nurs Res (Korean Soc Nurs Sci). 2018. doi: 10.1016/j.anr.2018.03.002

 

  1. Kim SY, Han S, Park EJ, et al. The relationship between smartphone overuse and sleep in younger children: A prospective cohort study. J Clin Sleep Med. 2020;16(7):1133-1139. doi: 10.5664/jcsm.8446

 

  1. Zhuang L, Wang L, Xu D, Wang Z, Liang R. Association between excessive smartphone use and cervical disc degeneration in young patients suffering from chronic neck pain. J Orthop Sci. 2021;26(1):110-115. doi: 10.1016/j.jos.2020.02.009

 

  1. Tymofiyeva O, Yuan JP, Kidambi R, et al. Neural correlates of smartphone dependence in ado­lescents. Front Hum Neurosci. 2020;14:564629. doi: 10.3389/fnhum.2020.564629

 

  1. Liu RD, Hong W, Ding Y, et al. Psychological distress and problematic mobile phone use among adolescents: The mediating role of maladaptive cognitions and the moderating role of effortful control. Front Psychol. 2019;10:1589. doi: 10.3389/ fpsyg.2019.01589

 

  1. Wanqing H, Fenqing L, Solodukho A. Smartphone addiction and cross-cultural adjust­ment among overseas Chinese students: The role of emotion regulation beliefs and strategies. Front Psychol. 2022;13:1009347. doi: 10.3389/ fpsyg.2022.1009347

 

  1. Extremera N, Quintana-Orts C, Sánchez-Álvarez N, Rey L. The role of cognitive emotion regulation strategies on problematic smartphone use: Comparison between problematic and non-problematic adolescent users. Int J Environ Res Public Health. 2019;16(17):3142. doi: 10.3390/ ijerph16173142

 

  1. Vink M, Gladwin TE, Geeraerts S, et al. Towards an integrated account of the development of self-regulation from a neurocognitive perspective: A framework for current and future longitudinal multi-modal investigations. Dev Cogn Neurosci. 2020;45:100829. doi: 10.1016/j.dcn.2020.100829

 

  1. Giordano C, Coco GL, Salerno L, Di Blasi M. The role of emotion dysregulation in adolescents’ prob­lematic smartphone use: A study on adolescent/par­ents triads. Comput Hum Behav. 2021;115:106632. doi: 10.1016/j.chb.2020.106632

 

  1. Unicef J. Youth a Successful Transition to Adulthood for Every Child. United States: Unicef; 2020.

 

  1. WHO. Country Cooperation Strategy for WHO and Jordan 2021-2025. Geneva: WHO; 2021.

 

  1. Al-Krenawi A. Syrian Refugees in Jordan and Mental Health: Challenges and Culturally Sensitive Practice. Netherlands: Brill; 2024.

 

  1. Abu-Taieh EM, AlHadid I, Kaabneh K, et al. Predictors of smartphone addiction and social isolation among jordanian children and adoles­cents using SEM and ML. Big Data Cognit Comput. 2022;6(3):92. doi: 10.3390/bdcc6030092

 

  1. Atoum M, Al-Rawashdeh S, Atoum D, Atoum H, Atoum R. Electronic devices use association with psychological distress and sleep among ado­lescents. Electron J Gen Med. 2021;18(6):em327. doi: 10.29333/ejgm/11314

 

  1. Statistics Do. Jordanian Statistical Yearbook; 2023. Available from: https://dosweb.dos.gov.jo/ar/ product/statistical_year_book2023 [Last accessed on 2023 Jan 15].

 

  1. Nanjundeswaraswamy T, Divakar S. Determination of sample size and sampling meth­ods in applied research. Proc Eng Sci. 2021;3(1):25- 32. doi: 10.24874/PES03.01.003

 

  1. Lin YH, Chang LR, Lee YH, Tseng HW, Kuo TB, Chen SH. Development and validation of the smartphone addiction inventory (SPAI). PLoS One. 2014;9(6):e98312. doi: 10.1371/journal. pone.0098312

 

  1. Khoury JM, De Freitas AAC, Roque MAV, Albuquerque MR, Das Neves MCL, Garcia FD. Assessment of the accuracy of a new tool for the screening of smartphone addiction. PLoS One. 2017;12(5):e0176924. doi: 10.1371/journal. pone.0176924

 

  1. Pavia L, Cavani P, Di Blasi M, Giordano C. Smartphone addiction inventory (SPAI): Psychometric properties and confirmatory factor analysis. Comput Hum Behav. 2016;63:170-178. doi: 10.1016/j.chb.2016.05.039

 

  1. Simó-Sanz C, Ballestar-Tarín ML, Martínez- Sabater A. Smartphone addiction inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population. PLoS One. 2018;13(10):e0205389. doi: 10.1371/journal. pone.0205389

 

  1. Andrade ALM, Spritzer DT, Scatena A, et al. Psychometric properties of the smartphone addic­tion inventory-short form (SPAI-SF) in Brazilian adolescents. Psychiatr Res. 2023;319:115001. doi: 10.1016/j.psychres.2022.115001

 

  1. Chamizo Nieto MT, Rey L, Sánchez Álvarez N. Validation of the Spanish version of the cogni­tive emotion regulation questionnaire in adoles­cents. Psicothema. 2020;32:153-159. doi: 10.7334/ psicothema2019.156

 

  1. Garnefski N, Kraaij V. The cogni­tive emotion regulation questionnaire. Eur J Psychol Assess. 2007;23(3):141-149. doi: 10.1027/1015-5759.23.3.141

 

  1. Ouerchefani R, Ouerchefani N, Rejeb MR, Le Gall D. Cognitive emotion regulation questionnaire: Psychometric properties of the Tunisian version. Encephale. 2021;47(5):406-412. doi: 10.1016/j. encep.2020.11.007

 

  1. Lovibond S. Manual for the depression anxiety stress scales. Psychology Foundation of Australia. Australia: NovoPsych; 1995.

 

  1. Parkitny L, McAuley J. The depression anxiety stress scale (DASS). J Physiother. 2010;56(3):204. doi: 10.1016/s1836-9553(10)70030-8

 

  1. Hussain NM, AlMansouri DH, AlGhareeb M, et al. Translating and validating the hoarding rat­ing scale-self report into Arabic. BMC Psychol. 2023;11(1):233. doi: 10.1186/s40359-023-01277-1

 

  1. Permission P. Informed consent, paren­tal permission, and assent in pediatric practice. Committee on bioethics, American academy of pediatrics. Pediatrics. 1995;95(2):314-317.

 

  1. Kim Y, Dhammasaccakarn W, Laeheem K, Rinthaisong I. The impact of family functioning fac­tors on smartphone addiction and phubbing among muslim adolescents in Thailand. Children (Basel). 2024;11(5):522. doi: 10.3390/children11050522

 

  1. Davey S, Davey A. Assessment of smartphone addiction in Indian adolescents: A mixed method study by systematic-review and meta-analysis approach. Int J Prev Med. 2014;5(12):1500-1511.

 

  1. Fatkuriyah L, Sun-Mi C. The relationship among parenting style, self-regulation, and smart­phone addiction proneness in Indonesian junior high school students. IJNP Indones J Nurs Pract. 2021;5(1):51-59. doi: 10.18196/ijnp.v5i1.11186

 

  1. Lee C, Lee SJ. Prevalence and predictors of smartphone addiction proneness among Korean adolescents. Child Youth Serv Rev. 2017;77:10-17. doi: 10.1016/j.childyouth.2017.04.002

 

  1. Buctot DB, Kim N, Kim JJ. Factors associ­ated with smartphone addiction prevalence and its predictive capacity for health-related qual­ity of life among Filipino adolescents. Child Youth Serv Rev. 2020;110:104758. doi: 10.1016/j. childyouth.2020.104758

 

  1. Esmaeilpour F, Letafatkar A, Baker JS, et al. Reliability and construct validity of the smart­phone addiction scale short version (SAS-SV) in Iranian students. J Public Health. 2021;31:345-353. doi: 10.1007/s10389-021-01529-7

 

  1. Çağan Ö, Koca B. Evaluation of high school stu­dents’ smartphone addiction and insomnia level. Evaluation. 2020;7(1):45-51. doi: 10.4274/jtsm. galenos.2020.84755

 

  1. Al-Amri A, Abdulaziz S, Bashir S, Ahsan M, Abualait T. Effects of smartphone addiction on cognitive function and physical activity in mid­dle-school children: A cross-sectional study. Front Psychol. 2023;14:1182749. doi: 10.3389/ fpsyg.2023.1182749

 

  1. Sadiq S, Anasse K, Slimani N. Scrolling through sleep: Moroccan high school students smartphone uses and sleep quality. Int J Innov Res Sci Stud. 2023;6(3):702-709. doi: 10.53894/ijirss.v6i3.1795

 

  1. Louragli I, Ahami A, Khadmaoui A, Mammad K, Lamrani AC. Evaluation of the nomophobia’s prevalence and its impact on school performance among adolescents in Morocco. Prob Psychol Cent. 2018;12(2):84-94. doi: 10.33225/ppc/18.12.84

 

  1. Fekih-Romdhane F, Malaeb D, Sarray El Dine A, Obeid S, Hallit S. The relationship between smart­phone addiction and aggression among lebanese adolescents: The indirect effect of cognitive func­tion. BMC Pediatr. 2022;22(1):735. doi: 10.1186/ s12887-022-03808-y

 

  1. Buabbas AJ, Al-Mass MA, Al-Tawari BA, Buabbas MA. The detrimental impacts of smart technology device overuse among school students in Kuwait: A cross-sectional survey. BMC Pediatr. 2020;20:1-12. doi: 10.1186/s12887-020-02417-x

 

  1. Alabdallat Y, Albakri KA, Al-Hanaqtah BM, Al-Dajani MH, Saleh OM, Harvey H. The associa­tion between smartphone addiction, depression and anxiety among medical students in Jordan. Jordan Med J. 2023;57(1): 60-61. doi: 10.35516/jmj. v57i1.1102

 

  1. Albursan IS, Al Qudah MF, Dutton E, et al. National, sex and academic discipline difference in smartphone addiction: A study of students in Jordan, Saudi Arabia, Yemen and Sudan. Community Ment Health J. 2019;55:825-830. doi: 10.1007/ s10597-019-00368-x

 

  1. De-Sola Gutiérrez J, Rodríguez De Fonseca F, Rubio G. Cell-phone addiction: A review. Front Psychiatry. 2016;7:175. doi: 10.3389/ fpsyt.2016.00175

 

  1. Yang SY, Chen MD, Huang YC, Lin CY, Chang JH. Association between smartphone use and mus­culoskeletal discomfort in adolescent students. J Community Health. 2017;42:423-430. doi: 10.1007/ s10900-016-0271-x

 

  1. Jahng KE. Maternal abusive parenting and young South Korean adolescents’ problematic smartphone use: The moderating effects of time spent hanging out with peers and trusting peer relationships. Child Youth Serv Rev. 2019;98:96-104. doi: 10.1016/j.childyouth.2018.12.028

 

  1. Chen B, Liu F, Ding S, Ying X, Wang L, Wen Y. Gender differences in factors associated with smartphone addiction: A cross-sectional study among medical college students. BMC Psychiatry. 2017;17:341. doi: 10.1186/s12888-017-1503-z

 

  1. Yang SY, Lin CY, Huang YC, Chang JH. Gender differences in the association of smartphone use with the vitality and mental health of adolescent students. J Am Coll Health. 2018;66(7):693-701. doi: 10.1080/07448481.2018.1454930

 

  1. Slaih MA, Khader YS, Amarneh BH, Alyahya MS, Al-Adwan NT. Patterns of smartphone use among university students in Jordan. Arab J Psychiatr. 2019;30(1):54-61. doi: 10.12816/0052936

 

  1. Mallya NV, Sunil Kumar DR, Mashal S. A study to evaluate the behavioral dimensions of nomopho­bia and attitude toward smartphone usage among medical students in Bengaluru. Nat J Physiol Pharm Pharmacol. 2018;8(11):1553-1553. doi: 10.5455/ njppp.2018.8.0827603092018

 

  1. Behera D. A Study to Assess the Prevalence of Mobile Phone Addiction and its Impact Among Adolescents in Selected Pre-University Colleges at Bangalore with View to Prepare Information Booklet. India: Rajiv Gandhi University of Health Sciences; 2018.

 

  1. Gezgin DM. Understanding patterns for smart­phone addiction: Age, sleep duration, social net­work use and fear of missing out. Cypr J Educ Sci. 2018;13(2):409-421.

 

  1. Bhanderi DJ, Pandya YP, Sharma DB. Smartphone use and its addiction among ado­lescents in the age group of 16-19 years. Indian J Community Med. 2021;46(1):88-92. doi: 10.4103/ ijcm.IJCM_263_20

 

  1. Fırat S, Gül H, Sertçelik M, Gül A, Gürel Y, Kılıç BG. The relationship between problematic smartphone use and psychiatric symptoms among adolescents who applied to psychiatry clinics. Psychiatry Res. 2018;270:97-103. doi: 10.1016/j. psychres.2018.09.015

 

  1. Lee EJ, Ogbolu Y. Does parental control work with smartphone addiction?: A cross-sectional study of children in South Korea. J Addict Nurs. 2018;29(2):128- 138. doi: 10.1097/JAN.0000000000000222

 

  1. Durak HY. Investigation of nomophobia and smartphone addiction predictors among adoles­cents in Turkey: Demographic variables and aca­demic performance. Soc Sci J. 2019;56(4):492-517. doi: 10.1016/j.soscij.2018.09.003

 

  1. Haug S, Castro RP, Kwon M, Filler A, Kowatsch T, Schaub MP. Smartphone use and smartphone addiction among young people in Switzerland. J Behav Addict. 2015;4(4):299-307. doi: 10.1556/2006.4.2015.037

 

  1. Statistics Do. Report on the Situation of Poverty in Jordan. Available from: https://dosweb.dos.gov. jo/databank/analytical_reports/economic/poverty_ report/poverty_report_2010.pdf [Last accessed on 2023 Jan 01].

 

  1. Lee J, Lim H, Allen J, Choi G, Jung J. Smartphone addiction and depression among low-income boys since COVID-19: The moderating effect of being an only child. Healthcare (Basel). 2021;9:1350. doi: 10.3390/healthcare9101350

 

  1. Khalily MT, Loona MI, Bhatti MM, Ahmad I, Saleem T. Smartphone addiction and its asso­ciated factors among students in twin cities of Pakistan. J Pak Med Assoc. 2020;70(8):1357-1362. doi: 10.5455/JPMA.23054

 

  1. Sarman A, Çiftci N. Relationship between smartphone addiction, loneliness, and depression in adolescents: A correlational structural equation modeling study. J Pediatr Nurs. 2024;76:150-159. doi: 10.1016/j.pedn.2024.02.019

 

  1. Sunday OJ, Adesope OO, Maarhuis PL. The effects of smartphone addiction on learning: A meta-anal­ysis. Comput Hum Behav Rep. 2021;4:100114. doi: 10.1016/j.chbr.2021.100114

 

  1. Mahsud M, Khalaf AJM, Mahsud Z, Afzal A, Afzal F. Addiction to smartphones leading to dis­traction in the classrooms: Effect of different cultures. J Stat Manag Syst. 2021;24(4):741-754. doi: 10.1080/09720510.2020.1834660

 

  1. Garnefski N, Kraaij V, Spinhoven P. Negative life events, cognitive emotion regulation and emotional problems. Person Individ Differ. 2001;30(8):1311- 1327. doi: 10.1016/S0191-8869(00)00113-6

 

  1. Van Deursen AJ, Bolle CL, Hegner SM, Kommers PA. Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emo­tional intelligence, social stress, self-regulation, age, and gender. Comput Hum Behav 2015;45:411- 420. doi: 10.1016/j.chb.2014.12.039

 

  1. Zsido AN, Arato N, Lang A, Labadi B, Stecina D, Bandi SA. The role of maladaptive cognitive emotion regulation strategies and social anxiety in problematic smartphone and social media use. Person Individ Differ. 2021;173:110647. doi: 10.1016/j.paid.2021.110647

 

  1. Casale S, Caplan SE, Fioravanti G. Positive metacognitions about Internet use: The mediat­ing role in the relationship between emotional dysregulation and problematic use. Addict Behav. 2016;59:84-88. doi: 10.1016/j.addbeh.2016.03.014

 

  1. Estévez A, Urbiola I, Iruarrizaga I, Onaindia J, Jauregui P. Emotional dependency in dating relation­ships and psychological consequences of internet and mobile abuse. Anal Psicol. 2017;33(2):260-268. doi: 10.6018/analesps.33.2.255111

 

  1. Maleki L, Kazemi A, Alimehdi M. The rela­tionship between cognitive emotional regulation and mindfulness with problematic use of cell-phones among medical students. Family Health. 2023;12(4):114-127.

 

  1. Schäfer JÖ, Naumann E, Holmes EA, Tuschen- Caffier B, Samson AC. Emotion regulation strat­egies in depressive and anxiety symptoms in youth: A meta-analytic review. J Youth Adolesc. 2017;46:261-276. doi: 10.1007/s10964-016-0585-0

 

  1. Fortes AB, Broilo PL, Lisboa CSM. Smartphone use and psychological well-being: The moderat­ing role of emotion regulation. Trends Psychol. 2021;29:189-203. doi: 10.1007/s43076-020-00051-1

 

  1. Arrivillaga C, Elhai JD, Rey L, Extremera N. Depressive symptomatology is associated with problematic smartphone use severity in adoles­cents: The mediating role of cognitive emotion regulation strategies. Cyberpsychol J Psychosoc Res Cybers. 2023;17(3):2. doi: 10.5817/CP2023-3-2

 

  1. Elhai JD, Yang H, Montag C. Cognitive-and emotion-related dysfunctional coping processes: Transdiagnostic mechanisms explaining depres­sion and anxiety’s relations with problematic smartphone use. Curr Addict Rep. 2019;6:410-417. doi: 10.1007/s40429-019-00260-4

 

  1. Arrivillaga C, Rey L, Extremera N. Psychological distress, rumination and problematic smartphone use among Spanish adolescents: An emotional intelligence-based conditional process analy­sis. J Affect Disord. 2022;296:1-8. doi: 10.1016/j. jad.2021.09.021

 

  1. Vally Z, Alghraibeh AM, Elhai JD. Severity of depression and anxiety in relation to problematic smartphone use in the United Arab Emirates: The mediational roles of rumination and fear of missing out. Hum Behav Emerg Technol. 2021;3(3):423-431. doi: 10.1002/hbe2.259

 

  1. Zavardeh SZ, Salimi F, Amani O. The medi­ating role of cognitive emotion regulation in the relationship between psychological flexibility and self-compassion with problematic use of smart­phone in none-clinical population. J Psychol N Ideas. 2024;20(24):1-12.
Share
Back to top
Health Psychology Research, Electronic ISSN: 2420-8124 Published by Health Psychology Research