Skip to main content

Advertisement

Log in

Problematic cell phone use for text messaging and substance abuse in early adolescence (11- to 13-year-olds)

  • Original Article
  • Published:
European Journal of Pediatrics Aims and scope Submit manuscript

Abstract

The aim of our study was to examine the association between problematic cell phone use (PCPU) for text messaging and substance abuse in young adolescents. This cross-sectional study was conducted on the basis of an ad hoc questionnaire, during the 2014–2015 school year in a province of the Veneto Region (Italy); it involved a sample of 1156 students in grades 6 to 8 (11 to 13 years old). A self-report scale based on the Short Message Service (SMS) Problem Use Diagnostic Questionnaire (SMS-PUDQ) was administered to assess the sample’s PCPU. A multivariate logistic regression model was applied to seek associations between PCPU (as the dependent variable) and independent variables. The proportion of students who reported a PCPU increased with age in girls (13.5 % in 6th grade, 16.4 % in 7th grade, and 19.5 % in 8th grade), but not in boys (14.3 % in 6th grade, 18.0 % in 7th grade, and 14.8 % in 8th grade). Logistic regression showed that drunkenness at least once and energy drink consumption raised the odds of PCPU, whereas reading books, higher average school marks, and longer hours of sleep were associated with lower odds of PCPU in early adolescence.

Conclusion: our findings confirm a widespread PCPU for text messaging among early adolescents. The odds of PCPU is greater in young people at risk of other substance abuse behavior.

What is Known:

Problematic cell phone use (PCPU) is associated with smoking and alcohol consumption in older adolescence.

What is New:

PCPU is widespread in early adolescence and it is associated with other unhealthy types of behavior.

Prevention, based on a multicomponent intervention strategy, should take PCPU into account for early adolescents too.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Abbreviations

CPU:

Cell phone use

ICT:

Information and communication technology

PCPU:

Problematic cell phone use

SMS-PUDQ:

SMS Problem Use Diagnostic Questionnaire

References

  1. Andrucci GL, Archer RP, Pancoast DL, Gordon RA (1989) The relationship of MMPI and Sensation Seeking Scales to adolescent drug use. J Pers Assess 53(2):253–266

    Article  CAS  PubMed  Google Scholar 

  2. Beranuy FM, Chamarro LA, Graner JC, Carbonell SX (2009) Validation of two brief scales for Internet addiction and mobile phone problem use. Psicothema 21(3):480–485

    Google Scholar 

  3. Bianchi A, Phillips JG (2005) Psychological predictors of problem mobile phone use. Cyberpsychol Behav 8(1):39–51

    Article  PubMed  Google Scholar 

  4. Billieux J, Van der Linden M, Rochat L (2008) The role of impulsivity in actual and problematic use of the mobile phone. Appl Cogn Psychol 22(9):1195–1210

    Article  Google Scholar 

  5. Cain N, Gradisar M (2010) Electronic media use and sleep in school-aged children and adolescents: a review. Sleep Med 11(8):735–742. doi:10.1016/j.sleep.2010.02.006

    Article  PubMed  Google Scholar 

  6. Chambers RA, Taylor JR, Potenza MN (2003) Developmental neurocircuitry of motivation in adolescence: a critical period of addiction vulnerability. Am J Psychiatry 160(6):1041–1052

    Article  PubMed Central  PubMed  Google Scholar 

  7. Charlton T, Panting C, Hannan A (2002) Mobile telephone ownership and usage among 10- and 11-year-olds. Emot Behav Diff 7:152–163

    Google Scholar 

  8. Childwise. Children and their media. Available via http://www.childwise.co.uk/monitor.html. Accessed 15 May 2015

  9. Chóliz M (2010) Mobile phone addiction: a point of issue. Addiction 105(2):373–374

    PubMed  Google Scholar 

  10. Donovan JE (2004) Adolescent alcohol initiation: a review of psychosocial risk factors. J Adolesc Health 35(6):529, e7-18

    Article  PubMed  Google Scholar 

  11. Eysenck HJ, Eysenck SBG (1991) Manual of the Eysenck Personality Scales (EPS Adult). Hodder & Stoughton, London

    Google Scholar 

  12. Gallimberti L, Chindamo S, Buja A et al (2011) Underage drinking on Saturday nights, sociodemographic and environmental risk factors: a cross-sectional study. Subst Abus Treat Prev Policy 6(1):15

    Article  Google Scholar 

  13. Gentile DA, Reimer RA, Nathanson AI et al (2014) Protective effects of parental monitoring of children’s media use: a prospective study. JAMA Pediatr 168(5):479–484

    Article  PubMed  Google Scholar 

  14. Gossop MR, Eysenck SB (1980) A further investigation into the personality of drug addicts in treatment. Br J Addict 75(3):305–311

    Article  CAS  PubMed  Google Scholar 

  15. Griffiths M, Renwick B (2003) Misfortune or mismanagement: a study of consumer debt issues. University of Newcastle, Australia

    Google Scholar 

  16. Harada T, Morikuni M, Yoshii S et al (2002) Usage of mobile phone in the evening or at night makes Japanese students evening-typed and night sleep uncomfortable. Sleep Hypn 4:149–153

    Google Scholar 

  17. Hill SY, Shen S, Lowers L, Locke J (2000) Factors predicting the onset of adolescent drinking in families at high risk for developing alcoholism. Biol Psychiatry 48(4):265–275

    Article  CAS  PubMed  Google Scholar 

  18. Junco R, Cotten SR (2012) No A 4 U: the relationship between multitasking and academic performance. Comput Educ 59(2):505–514

    Article  Google Scholar 

  19. Laberge-Nadeau C, Maag U, Bellavance F et al (2003) Wireless telephones and the risk of road crashes. Accid Anal Prev 35(5):649–660

    Article  PubMed  Google Scholar 

  20. Leena K, Tomi L, Arja RR (2005) Intensity of mobile phone use and health compromising behaviours—how is information and communication technology connected to health-related lifestyle in adolescence? J Adolesc 28(1):35–47

    Article  PubMed  Google Scholar 

  21. Leung L (2008) Linking psychological attributes to addiction and improper use of the mobile phone among adolescents in Hong Kong. J Child Media 2(2):93–113

    Article  Google Scholar 

  22. Lopez-Fernandez O, Honrubia-Serrano ML, Freixa-Blanxart M (2011) Spanish adaptation of the “Mobile Phone Problem Use Scale” for adolescent population. Adicciones 24(2):123–130

    Google Scholar 

  23. Manni R, Ratti MT, Marchioni E et al (1997) Poor sleep in adolescents: a study of 869 17-year-old Italian secondary school students. J Sleep Res 6(1):44–49

    Article  CAS  PubMed  Google Scholar 

  24. Martinotti G, Villella C, Di Thiene D et al (2011) Problematic mobile phone use in adolescence: a cross-sectional study. J Public Health 19(6):545–551

    Article  Google Scholar 

  25. Mezei G, Benyi M, Muller A (2007) Mobile phone ownership and use among school children in three Hungarian cities. Bioelectromagnetics 28(4):309–315

    Article  PubMed  Google Scholar 

  26. Moeller FG, Dougherty DM (2002) Impulsivity and substance abuse: what is the connection? Addict Disord Treat 1(1):3–10

    Article  Google Scholar 

  27. Oksman V, Turtiainen J (2004) Mobile communication as a social stage. The meanings of mobile communication among teenagers in Finland. N Med Soc 6:319–339

    Article  Google Scholar 

  28. Pastore V, Chóliz M (2011) Uso e abuso del telefono cellulare in adolescenti e giovani italiani. Modelli per la mente IV(2–3): 23–36. Available via http://www.toninocantelmi.it/userfiles/modelli-per-la-mente/Uso%20e%20abuso%20del%20telefono%20cellulare%20in%20adolescenti%20e%20giovani%20italiani%20anno%20IV%20n%202%203%202011.pdf Accessed 1 Jun 2015

  29. Punamaki R-L, Wallenius M, Nygard C-H et al (2007) Use of information and communication technology (ICT) and perceived health in adolescence: the role of sleeping habits and waking-time tiredness. J Adolesc 30:569–585

    Article  PubMed  Google Scholar 

  30. Rutland JB, Sheets T, Young T (2007) Development of a scale to measure problem use of short message service: the SMS Problem Use Diagnostic Questionnaire. Cyberpsychol Behav 10(6):841–843

    Article  PubMed  Google Scholar 

  31. Sánchez-Martínez M, Otero A (2009) Factors associated with cell phone use in adolescents in the community of Madrid (Spain). Cyberpsychol Behav 12(2):131–137

    Article  PubMed  Google Scholar 

  32. Selwyn N (2003) Schooling the mobile generation: the future for schools in the mobile-networked society. Br J Sociol Educ 24:131–144

    Article  Google Scholar 

  33. Smetaniuk P (2014) A preliminary investigation into the prevalence and prediction of problematic cell phone use. J Behav Addict 3(1):41–53

    Article  PubMed Central  PubMed  Google Scholar 

  34. Spear LP (2000) The adolescent brain and age-related behavioral manifestations. Neurosci Biobehav Rev 24(4):417–463

    Article  CAS  PubMed  Google Scholar 

  35. Spanish Statistical Office (2014) Survey on the equipment and use of information and communication technologies in households (ICT-H) 2014. Available via http://www.ine.es/jaxi/tabla.do?path=/t25/p450/base_2011/a2014/l1/&file=01002.px&type=pcaxis&L=1 Accessed 2 Sept 2015

  36. Taylor AS, Harper R (2003) The gift of the gab? A design-oriented sociology of young people’s use of mobiles. J Comput Supported Coop Work 12:267–296

    Article  Google Scholar 

  37. TIO annual report 2003. Melbourne, Victoria: Telecommunications Industry Ombudsman, 2003

  38. Wills TA, Vaccaro D, McNamara G (1994) Novelty seeking, risk taking, and related constructs as predictors of adolescent substance use: an application of Cloninger’s theory. J Subst Abus 6(1):1–20

    Article  CAS  Google Scholar 

  39. Yang YS, Yen JY, Ko CH et al (2010) The association between problematic cellular phone use and risky behaviors and low self-esteem among Taiwanese adolescents. BMC Public Health 10:217

    Article  PubMed Central  PubMed  Google Scholar 

  40. Yen CF, Tang TC, Yen JY et al (2009) Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in southern Taiwan. J Adolesc 32(4):863–873

    Article  PubMed  Google Scholar 

  41. Young KS (2004) Internet addiction: a new clinical phenomenon and its consequences. Am Behav Sci 48:402–415

    Article  Google Scholar 

Download references

Acknowledgments

Funding for this study was provided by the Fondazione Cassa di Risparmio di Padova e Rovigo, which is a nonprofit organization that has been working for the last 20 years to promote the quality of life and sustainable development of the territory of Padua and Rovigo. The Foundation had no role in the design of the study; the collection, analysis, and interpretation of the data; the writing of the manuscript; or the decision to submit the paper for publication. We thank all the schools in the province of Padua and the individual students who participated in the study.

Authors’ contributions

Dr Gallimberti conceptualized the study, coordinated all study phases, and approved the final manuscript as submitted. Dr. Buja designed the study, carried out the statistical analyses, reviewed and revised the manuscript, and approved the final manuscript as submitted. Dr Chindamo designed the data collection instruments, coordinated and supervised data collection at different school, and approved the final manuscript as submitted. Dr Marini, Dr Rabensteiner, and Dr Terraneo are involved in data collection at different schools and approved the final manuscript as submitted. Dr Gomez interpreted the data, critically reviewed and revised the manuscript, and approved the final manuscript as submitted. Dr Baldo designed the sampling methods, critically reviewed and revised the manuscript, and approved the final manuscript as submitted.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alessandra Buja.

Ethics declarations

• The authors have no conflicts of interest to disclose. The founder had no role in study design; data collection, analysis, and interpretation; manuscript drafting; or the decision to submit the paper for publication.

• The study was approved by the Ethical Committee at Padua Teaching Hospital. All procedures were in accordance with the ethical standards of our institutional research committee, and with the 1964 Helsinki Declaration and its later amendments, or comparable ethical standards.

• Consent to the students’ participation was first obtained from the school director. If this was granted, the prevention program was included in the school’s teaching plan, which is signed by parents at the start of the school year. Then all parents of the students enrolled were asked to sign a consent form and the students themselves also signed an assent form.

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Communicated by Peter de Winter

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gallimberti, L., Buja, A., Chindamo, S. et al. Problematic cell phone use for text messaging and substance abuse in early adolescence (11- to 13-year-olds). Eur J Pediatr 175, 355–364 (2016). https://doi.org/10.1007/s00431-015-2645-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00431-015-2645-y

Keywords

Navigation