The problematic use of the mobile phone: cross-sectional analysis of the individual profile and associated factors

e202305036

Authors

  • Marc Olivella-Cirici Agència de Salut Pública de Barcelona (ASPB). Barcelona. España. / Departament de Medicina i Ciències de la Vida (MELIS), Universitat Pompeu Fabra (UPF). Barcelona. España.
  • Xavier Garcia-Continente Agència de Salut Pública de Barcelona (ASPB). Barcelona. España. / Institut d’Investigacions Biomèdiques de Sant Pau. Barcelona. España. / Consorcio de Investigación Biomédica en red de epidemiología y salud pública (CIBERESP). Madrid. España.
  • Montse Bartroli Checa Agència de Salut Pública de Barcelona (ASPB). Barcelona. España. / Departament de Medicina i Ciències de la Vida (MELIS), Universitat Pompeu Fabra (UPF). Barcelona. España. / Institut d’Investigacions Biomèdiques de Sant Pau. Barcelona. España.
  • Gemma Serral Cano Agència de Salut Pública de Barcelona (ASPB). Barcelona. España. / Institut d’Investigacions Biomèdiques de Sant Pau. Barcelona. España. / Consorcio de Investigación Biomédica en red de epidemiología y salud pública (CIBERESP). Madrid. España.
  • Glòria Pérez Albarracín Agència de Salut Pública de Barcelona (ASPB). Barcelona. España. / Departament de Medicina i Ciències de la Vida (MELIS), Universitat Pompeu Fabra (UPF). Barcelona. España. / Institut d’Investigacions Biomèdiques de Sant Pau. Barcelona. España. / Consorcio de Investigación Biomédica en red de epidemiología y salud pública (CIBERESP). Madrid. España.

Keywords:

Mental health, Adolescent behaviour, Mobile phone use, Habits, Addictive behaviour, Screen Time

Abstract

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

Download data is not yet available.

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

2023-05-03

How to Cite

1.
Olivella-Cirici M, Garcia-Continente X, Bartroli Checa M, Serral Cano G, Pérez Albarracín G. The problematic use of the mobile phone: cross-sectional analysis of the individual profile and associated factors: e202305036. Rev Esp Salud Pública [Internet]. 2023 May 3 [cited 2024 Nov. 16];97:13 páginas. Available from: https://ojs.sanidad.gob.es/index.php/resp/article/view/115

Issue

Section

Originales

Categories

Most read articles by the same author(s)