Skip to main content
Key Specialties
Cardiology Diabetology Endocrinology Gastroenterology Geriatrics and Gerontology Gynecology and Obstetrics Hematology Infectious Disease Internal Medicine Nephrology Neurology Oncology Pediatrics Respiratory Medicine Rheumatology Surgery
Congress Coverage
2024 ACC Congress 2023 ESMO Congress 2023 EASD Congress 2023 ERS Congress 2023 ESC Congress 2023 EHA Congress 2023 ASCO Annual Meeting
Clinical Collections
Advances in Alzheimer’s

At a glance: The ONWARDS insulin icodec trials

A round-up of the ONWARDS phase 3 clinical trials evaluating the novel weekly insulin icodec in people with diabetes.
ADVANCED SEARCH
Log in
Top
BMC Public Health
Published in: BMC Public Health 1/2016

Open Access 01-12-2015 | Research article

Screen-based behaviour in school-aged children with long-term illness

Authors: Daniela Husarova, Andrea Madarasova Geckova, Lukas Blinka, Anna Sevcikova, Jitse P. van Dijk, Sijmen A. Reijneveld

Published in: BMC Public Health | Issue 1/2016

Login to get access

Abstract

Background

Evidence is lacking on the screen-based behaviour of adolescents with a chronic condition. The aim of our study was to analyse differences in screen-based behaviour of adolescents by long-term illness, asthma and learning disabilities.

Methods

We used data from the cross-sectional Health Behaviour of School-aged Children study collected in 2014 among Slovak adolescents (age 13 to 15 years old, N = 2682, 49.7 % boys). We analysed the associations between screen-based behaviour and long-term illness, asthma and learning disabilities using logistic regression models adjusted for gender.

Results

We found no associations between screen-based behaviour and long-term illness, except that children with asthma had a 1.60-times higher odds of excessively playing computer games than healthy children (95 % confidence interval of odds ratio (CI): 1.11–2.30). Children with learning disabilities had 1.71-times higher odds of risky use of the Internet (95 % CI: 1.19–2.45).

Conclusion

Adolescents with a long-term illness or with a chronic condition or a learning disability do not differ from their peers in screen-based activities. Exceptions are children with asthma and children with learning disabilities, who reported more risky screen-based behaviour.
Literature
1.
Brindova D, Dankulincova Veselska Z, Klein D, Hamrik Z, Sigmundova D, van Dijk JP, et al. Is the association between screen-based behaviour and health complaints among adolescents moderated by physical activity? Int J Public Health. 2015;60:139–45.CrossRefPubMed
2.
Costigan SA, Barnett L, Plotnikoff RC, Lubans DR. The health indicators associated with screen-based sedentary behavior among adolescent girls: a systematic review. J Adolesc Health. 2013;52:382–92.CrossRefPubMed
3.
Janssen I, Boyce WF, Pickett W. Screen time and physical violence in 10 to 16-year-old Canadian youth. Int J Public Health. 2012;57:325–31.CrossRefPubMed
4.
Livingstone S, Haddon L, Görzig A, Ólafsson K. Risks and safety on the internet: the perspective of European children. Full findings. London: EU Kids Online; 2011.
5.
Melkevik O, Torsheim T, Iannotti RJ, Wold B. Is spending time in screen-based sedentary behaviors associated with less physical activity: a cross national investigation. Int J Behav Nutr Phys. 2010;7:46.CrossRef
6.
Finne E, Bucksch J, Lampert T, Kolip P. Physical activity and screen-based media use: cross-sectional associations with health-related quality of life and the role of body satisfaction in a representative sample of German adolescents. Health Psychol Behav Med. 2013;1(1):15–30.PubMedCentralCrossRefPubMed
7.
8.
Blinka L, Skarupova K, Sevcikova A, Wolfling K, Muller KW, Dreier M. Excessive internet use in European adolescents: What determines differences in severity? Int J Public Health. 2015;60:249–56.CrossRefPubMed
9.
Valkenburg PM, Peter J. The differential susceptibility to media effects model. J Commun. 2013;63:221–43.CrossRef
10.
Slater MD. Reinforcing spirals: the mutual influence of media selectivity and media effects and their impact on individual behaviour and social identity. Commun Theory. 2007;17(3):281–303.CrossRef
11.
Michaud PA, Suris JC, Viner R. The adolescent with a chronic condition: epidemiology, developmental issues and health care provision. Geneva: Department of Child and Adolescent Health and Development; 2007.
12.
Pearce N, Aı¨t-Khaled N, Beasley R, Mallol J, Keil U, Mitchell E, et al. Worldwide trends in the prevalence of asthma symptoms: phase III of the International Study of Asthma and Allergies in Childhood (ISAAC). Thorax. 2007;62:758–66.PubMedCentralCrossRefPubMed
13.
Lindsay S, Kingsnorth S, Hamdani Y. Barriers and facilitators of chronic illness self-management among adolescents: a review and future directions. J Nurs Healthc Chronic Ill. 2011;3:186–208.CrossRef
14.
Walker RG, Obeid J, Nguyen T, Ploeger H, Proudfoot NA, Bos C, et al. Sedentary time and screen-based sedentary behaviors of children with a chronic disease. Pediatr Exerc Sci. 2015;27:219–25.CrossRefPubMed
15.
16.
Denny S, de Silva M, Fleming T, Clark T, Merry S, Ameratunga S, et al. The prevalence of chronic health conditions impacting on daily functioning and the association with emotional well-being among a national sample of high school students. J Adolesc Health. 2014;54:410–5.CrossRefPubMed
17.
Santos T, de Matos MG, Simões MC, Fonseca H, do Céu Machado M. Individual factors related to chronic condition in Portuguese adolescents: highlights from the HBSC/WHO study. Health. 2013;5:25–34.CrossRef
18.
Weiss MD, Baer S, Allan BA, Saran K, Schibuk H. The screens culture: impact on ADHD. ADHD Atten Def Hyp Disord. 2011;3:327–34.CrossRef
19.
Ko CH, Yen JY, Yen CF, Chen CS, Chen C. The association between Internet addiction and psychiatric disorder: a review of the literature. Eur Psychiatry. 2012;27(1):1–8.CrossRefPubMed
20.
Sibley BA, Etnier JL. The relationship between physical activity and cognition in children: a meta-analysis. Pediatr Exerc Sci. 2003;15(3):243–56.
21.
Currie C, Inchley J, Molcho M, Lenzi M, Veselska Z, Wild F, editors. Health Behaviour in School-aged Children (HBSC) study protocol: background, methodology and mandatory items for the 2013/14 survey. St. Andrews: CAHRU; 2014.
22.
American Academy of Pediatrics, Committee on Public Education. Children, adolescents, and television. Pediatrics. 2001;107(2):423–6.CrossRef
23.
Skarupova K, Olafsson K, Blinka L. Excessive internet use and its association with negative experiences: quasi-validation of a short scale in 25 European countries. Comput Human Behav. 2015;53:118–23.CrossRef
24.
Mazur J, Sentenac M, Brooks F, Małkowska-Szkutnik A, Gajewski J, Gavin A. Burden of chronic health conditions in adolescence measured by school surveys. Dev Period Med. 2013;17(2):157–64.
25.
Gennuso J, Epstein LH, Paluch RA, Cerny F. The relationship between asthma and obesity in urban minority children and adolescents. Arch Pediatr Adolesc Med. 1998;152(12):1197–200.PubMed
26.
Lang DM, Butz A, Duggan AK, Serwint JR. Physical activity in urban school-aged children with asthma. Pediatrics. 2004;113(4):341–6.CrossRef
27.
Kim JW, So WY, Kim YS. Association between asthma and physical activity in Korean adolescents: the 3rd Korea Youth Risk Behavior Web-based Survey (KYRBWS-III). Eur J Public Health. 2011;22(6):864–8.CrossRefPubMed
28.
Seigel WM, Golden NH, Gough JW, Lashley MS, Sacker IM. Depression, self-esteem, and life events in adolescents with chronic diseases. J Adolesc Health Care. 1990;11(6):501–4.CrossRefPubMed
29.
Vila G, Nollet-Clemencon C, De Blic J, Mouren-Simeoni MC, Scheinmann P. Prevalence of DSM IV anxiety and affective disorders in a pediatric population of asthmatic children and adolescents. J Affect Disord. 2000;58(3):223–31.CrossRefPubMed
30.
Ryan RM, Rigby CS, Przybylski A. The motivational pull of video games: a self-determination theory approach. Motiv Emotion. 2006;30(4):344–60.CrossRef
31.
Reinecke L. Games and recovery: The use of video and computer games to recuperate from stress and strain. J Media Psych. 2009;21(3):126–42.CrossRef
32.
Reinecke L, Tamborini R, Grizzard M, Lewis R, Eden A, Bowman DN. Characterizing mood management as need satisfaction: the effects of intrinsic needs on selective exposure and mood repair. J Commun. 2012;62(3):437–53.CrossRef
33.
Brindova D, Dankulincova Veselska Z, Sigmundova D, Madarasova Geckova A. Age and gender differences in prevalence of screen based behavior, physical activity, and health complaints among Slovak school-aged children. Cent Eur J Public Health. 2015;23:S30–S36.
34.
Milde-Busch A, von Kries R, Thomas S, Heinrich S, Straube A, Radon K. The association between use of electronic media and prevalence of headache in adolescents: results from a population-based cross-sectional study. BMC Neurol. 2010;10:12.PubMedCentralCrossRefPubMed
35.
Bull R, Scerif G. Executive functioning as a predictor of children’s mathematics ability: inhibition, switching, and working memory. Dev Neuropsychol. 2001;19(3):273–93.CrossRefPubMed
36.
37.
Yen JY, Ko CH, Yen CF, Wu HY, Yang MJ. The comorbid psychiatric symptoms of Internet addiction: attention deficit and hyperactivity disorder (ADHD), depression, social phobia, and hostility. J Adolesc Health. 2007;41(1):93–8.CrossRefPubMed
38.
Mayes SD, Calhoun SL, Crowell EW. Learning disabilities and ADHD overlapping spectrum disorders. J Learn Disabil. 2000;33(5):417–24.CrossRefPubMed
39.
Cook BG, Li D, Heinrich KM. Obesity, physical activity, and sedentary behaviour of youth with learning disabilities and ADHD. J Learn Disabil. 2015;48(6):563–76.CrossRefPubMed
Metadata
Title
Screen-based behaviour in school-aged children with long-term illness
Authors
Daniela Husarova
Andrea Madarasova Geckova
Lukas Blinka
Anna Sevcikova
Jitse P. van Dijk
Sijmen A. Reijneveld
Publication date
01-12-2015
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2016
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-016-2804-8

Other articles of this Issue 1/2016

BMC Public Health 1/2016 Go to the issue

Research article

Exposure to different lengths of sick leave and subsequent work absence among young adults

Research article

Undernutrition and associated factors among children aged 6-59 months in East Belesa District, northwest Ethiopia: a community based cross-sectional study

Research article

Epidemiological survey of intentional poisoning suicide during 1993-2013 in Ilam Province, Iran

Research article

Integrating acute malnutrition interventions into national health systems: lessons from Niger

Research article

Factors associated with pre-ART loss-to-follow up in adults in rural KwaZulu-Natal, South Africa: a prospective cohort study

Study protocol

Latin American Study of Nutrition and Health (ELANS): rationale and study design