The problematic use of the mobile phone: cross-sectional analysis of the individual profile and associated factors
e202305036
Keywords:
Mental health, Adolescent behaviour, Mobile phone use, Habits, Addictive behaviour, Screen TimeAbstract
BACKGROUND // The problematic use of mobile phones is a phenomenon that can be associated with a specific individual profile and it has been seen that there are associated factors, although most of them have been studied in a limited way and in small samples. The aim of this study was to describe the association between the problematic use of the mobile phone and social traits, health, and health-related behaviors among high school students.
METHODS // This is a cross-sectional study performed in a representative sample of students aged 13-18 years in the Lifestyle Risk Factors in Secondary School Students (FRESC) survey conducted in 2016 in Barcelona (n=3,778). Problematic mobile phone use was obtained from the Mobile Related Experiences Questionnaire (CERM). Multivariate logistic regression models were built to assess the relationship between this variable and social, health and behavioural variables.
RESULTS // A total of 52% of girls and 44% of boys reported frequent or occasional problems with their mobile phone usage. The factors associated with the dependent variable were poor relationships with the family, mobile phone usage before sleeping or during dinner, inadequate hours of sleep, sedentariness, substance consumption and poor mental health.
CONCLUSIONS // The problematic use of the mobile is frequent among students and there are several associated social, health and behavioral factors. There are substantial differences by sex and age, with the strongest associations in younger girls.
Downloads
References
Anderson E, Steen E, Stavropoulos V. Internet use and Problematic Internet Use: a systematic review of longitudinal research trends in adolescence and emergent adulthood. Int J Adolesc Youth. 2016;22(4):430-454. doi: https://dx.doi.org/10.1080/02673843.2016.1227716
Hootsuite and We Are Social. Digital 2022 July: Global Digital Overview. DataReportal, Global Digital Insights. Disponible en: https://datareportal.com/reports/digital-2022-july-global-statshot. [Consultado septiembre de 2022].
Royal Society for Public Health, RSPH. Status Of Mind Social Media And Young People’s Mental Health And Wellbeing (Report); 2017. Disponible en: https://www.rsph.org.uk/uploads/assets/uploaded/d125b27c-0b62-41c5-a2c0155a8887cd01.pdf. [Consultado septiembre de 2022].
Cía A. Las adicciones no relacionadas a sustancias (DSM-5, APA, 2013): un primer paso hacia la inclusión de las Adicciones Conductuales en las clasificaciones categoriales vigentes. Rev Neuropsiquiatr. 2014;76(4):210. doi: https://dx.doi.org/10.20453/rnp.v76i4.1169
Carbonell X, Panova T. A critical consideration of social networking sites’ addiction potential. Addict Res Theory. 2016;25(1):48-57. doi: https://dx.doi.org/10.1080/16066359.2016.1197915
Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict. 2018;7(2):252-259. doi: https://dx.doi.org/10.1556/2006.7.2018.49
Echeburúa E, De Corral P. Adicción a las nuevas tecnologías y a las redes sociales en jóvenes: un nuevo reto. Adicciones. 2010;22(2):91. doi: https://dx.doi.org/10.20882/adicciones.196
Kuss D, Griffiths M, Binder J. Internet addiction in students: Prevalence and risk factors. Comput Human Behav. 2013;29(3):959-966. doi: https://dx.doi.org/10.1016/j.chb.2012.12.024
Steinberg L, Graham S, O’Brien L, Woolard J, Cauffman E, Banich M. Age Differences in Future Orientation and Delay Discounting. Child Dev. 2009;80(1):28-44. doi: https://dx.doi.org/10.1111/j.1467-8624.2008.01244.x
Sánchez-Martínez M, Otero A. Factors Associated with Cell Phone Use in Adolescents in the Community of Madrid (Spain). CyberPsychology & Behavior. 2009;12(2):131-137. doi: https://dx.doi.org/10.1089/cpb.2008.0164
Bianchi A, Phillips J. Psychological Predictors of Problem Mobile Phone Use. CyberPsychology & Behavior. 2005;8(1):39-51. doi: https://dx.doi.org/10.1089/cpb.2005.8.39
Langarizadeh M, Naghipour M, Tabatabaei S, Mirzaei A, Eslami Vaghar M. Prediction of internet addiction based on information literacy among students of Iran University of Medical Sciences. Electron Physician. 2018;10(2):6333-6340. doi: https://dx.doi.org/10.19082/6333
Sahın S, Ozdemir K, Unsal A, Temiz N. Evaluation of mobile phone addiction level and sleep quality in university students. Pak J Med Sci. 2013;29(4). doi:https://dx.doi.org/10.12669/pjms.294.3686
Augner C, Hacker G. Associations between problematic mobile phone use and psychological parameters in young adults. Int J Public Health. 2011;57(2):437-441. doi: https://dx.doi.org/10.1007/s00038-011-0234-z
Glazzard J, Stones S. Social Media and Young People’s Mental Health. Selected Topics in Child and Adolescent Mental Health. 2020. doi: https://dx.doi.org/10.5772/intechopen.88569
Lee J, Hwang J, Park S et al. Differential resting-state EEG patterns associated with comorbid depression in Internet addiction. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2014;50:21-26. doi: https://dx.doi.org/10.1016/j.pnpbp.2013.11.016
De-Sola Gutiérrez J, Rodríguez de Fonseca F, Rubio G. Cell-Phone Addiction: A Review. Front Psychiatry. 2016;7. doi: https://dx.doi.org/10.3389/fpsyt.2016.00175
Santamariña-Rubio E, Serral G, Pérez C. La Salut I Els Seus Determinants En L’Alumnat Adolescent De Barcelona. Enquesta FRESC 2016. Barcelona Public Health Agency, ASPB; 2017. Disponible en: www.aspb.cat/wp-content/uploads/2017/05/salut-i-els-seus-determinants-en-alumnat-adolescent-Barcelona-FRESC-2016.pdf. [Consultado septiembre de 2022].
Carbonell X, Chamarro A, Griffiths M, Talarn A. Uso problemático de Internet y móvil en adolescentes y jóvenes españoles. Anales de Psicología. 2012;28(3). doi: https://dx.doi.org/10.6018/analesps.28.3.156061
Carbonell X, Chamarro A, Oberst U, Rodrigo B, Prades M. Problematic Use of the Internet and Smartphones in University Students: 2006-2017. Int J Environ Res Public Health. 2018;15(3):475. doi: https://dx.doi.org/10.3390/ijerph15030475
Ajuntament de Barcelona. Distribució Territorial De La Renda Familiar Disponible Per Càpita A Barcelona. Barcelona: Ajuntament de Barcelona; 2013. Disponible en: https://ajuntament.barcelona.cat/barcelonaeconomia/sites/default/files/RFD%202013_bcn.pdf. [Consultado septiembre de 2022].
National Sleep Foundation. Summary findings of the 2006 sleep in America poll. Disponible en: https://www.sleepfoundation.org/professionals/sleep-america-polls/2006-teens-and-sleep. [Consultado septiembre de 2022].
Amireault S, Godin G. The Godin-Shephard Leisure-Time Physical Activity Questionnaire: Validity Evidence Supporting its Use for Classifying Healthy Adults into Active and Insufficiently Active Categories. Percept Mot Skills. 2015;120(2):604-622. doi: https://dx.doi.org/10.2466/03.27.pms.120v19x7
Nebot M, Giménez E, Ariza C, Tomás Z. Tendencias en el consumo de tabaco, alcohol y cannabis en los adolescentes de Barcelona entre 1987 y 2004. Medicina Clínica. 2006;126(4):159. doi: https://dx.doi.org/10.1157/13084030
Ministerio de Sanidad, servicios sociales e igualdad, MSSSI. Encuesta Estatal Sobre Uso De Drogas En Enseñanzas Secundarias (ESTUDES), 2014. Delegación del Gobierno para el Plan Nacional sobre Drogas; 2016. Disponible en: http://www.pnsd.mscbs.gob.es/profesionales/sistemasInformacion/sistemaInformacion/pdf/2016_Informe_ ESTUDES.pdf. [Consultado septiembre de 2022]
López M, Gabilondo A, Codony M et al. Adaptation into Spanish of the Warwick–Edinburgh Mental Well- being Scale (WEMWBS) and preliminary validation in a student sample. Quality of Life Research. 2012;22(5):1099-1104. doi: https://dx.doi.org/10.1007/s11136-012-0238-z
Goodman R, Ford T, Simmons H, Gatward R, Meltzer H. 0 British Journal of Psychiatry. 2000;177(6):534-539. doi: https://dx.doi.org/10.1192/bjp.177.6.534
StataCorp. Stata Statistical Software: Release 13. College Station, TX: StataCorp LP. 2013.
Thomée S. Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure. Int J Environ Res Public Health. 2018;15(12):2692. doi: https://dx.doi.org/10.3390/ijerph15122692
Liu M, Wu L, Yao S. Dose-response association of screen time-based sedentary behaviour in children and adolescents and depression: a meta-analysis of observational studies. Br J Sports Med. 2015;50(20):1252- 1258. doi: https://dx.doi.org/10.1136/bjsports-2015-095084
Marshall S, Biddle S, Gorely T, Cameron N, Murdey I. Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. Int J Obes. 2004;28(10):1238-1246. doi: https://dx.doi.org/10.1038/sj.ijo.0802706
Continente X, Pérez A, Espelt A, López M. Media devices, family relationships and sleep patterns among adolescents in an urban area. Sleep Med. 2017;32:28-35. doi: https://dx.doi.org/10.1016/j.sleep.2016.04.006
Grant J, Lust K, Chamberlain S. Problematic smartphone use associated with greater alcohol consumption, mental health issues, poorer academic performance, and impulsivity. Journal of Behavioral Addictions. 2019;8(2):335-342.
Fargues M, Lusar A, Jordania C, Sánchez X. Validación de dos escalas breves para evaluar la adicción a Internet y el abuso de móvil. Psicothema. 2009;21(3):480-485.
Harris B, Regan T, Schueler J, Fields S. Problematic Mobile Phone and Smartphone Use Scales: A Systematic Review. Frontiers in Psychology. 2020;11.
Published
How to Cite
License
Copyright (c) 2023 Marc Olivella-Cirici, Xavier Garcia-Continente, Montse Bartroli Checa, Gemma Serral Cano, Glòria Pérez Albarracín
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Usted es libre de:
Compartir — copiar y redistribuir el material en cualquier medio o formato.
La licenciante no puede revocar estas libertades en tanto usted siga los términos de la licencia.
Bajo los siguientes términos:
Atribución — Usted debe dar crédito de manera adecuada , brindar un enlace a la licencia, e indicar si se han realizado cambios. Puede hacerlo en cualquier forma razonable, pero no de forma tal que sugiera que usted o su uso tienen el apoyo de la licenciante.
NoComercial — Usted no puede hacer uso del material con propósitos comerciales.
SinDerivadas — Si remezcla, transforma o crea a partir del material, no podrá distribuir el material modificado.
No hay restricciones adicionales — No puede aplicar términos legales ni medidas tecnológicas que restrinjan legalmente a otras a hacer cualquier uso permitido por la licencia.
Avisos:
No tiene que cumplir con la licencia para elementos del material en el dominio público o cuando su uso esté permitido por una excepción o limitación aplicable.
No se dan garantías. La licencia podría no darle todos los permisos que necesita para el uso que tenga previsto. Por ejemplo, otros derechos como publicidad, privacidad, o derechos morales pueden limitar la forma en que utilice el material.