Screen-based behaviour in school-aged children with long-term illness
Language English Country England, Great Britain Media electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26861123
PubMed Central
PMC4746885
DOI
10.1186/s12889-016-2804-8
PII: 10.1186/s12889-016-2804-8
Knihovny.cz E-resources
- MeSH
- Asthma epidemiology MeSH
- Chronic Disease epidemiology MeSH
- Ethnicity MeSH
- Internet statistics & numerical data MeSH
- Humans MeSH
- Logistic Models MeSH
- Adolescent MeSH
- Odds Ratio MeSH
- Computers statistics & numerical data MeSH
- Learning Disabilities epidemiology MeSH
- Cross-Sectional Studies MeSH
- Sedentary Behavior * MeSH
- Television statistics & numerical data MeSH
- Video Games statistics & numerical data MeSH
- Health Behavior MeSH
- Check Tag
- Humans MeSH
- Adolescent MeSH
- Male MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Slovakia epidemiology MeSH
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.
See more in PubMed
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. doi: 10.1007/s00038-014-0627-x. PubMed DOI
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. doi: 10.1016/j.jadohealth.2012.07.018. PubMed DOI
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. doi: 10.1007/s00038-010-0221-9. PubMed DOI
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.
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. doi: 10.1186/1479-5868-7-46. PubMed DOI PMC
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. doi: 10.1080/21642850.2013.809313. PubMed DOI PMC
Spada MM. An overview of problematic internet use. Addict Behav. 2014;39:3–6. doi: 10.1016/j.addbeh.2013.09.007. PubMed DOI
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. doi: 10.1007/s00038-014-0635-x. PubMed DOI
Valkenburg PM, Peter J. The differential susceptibility to media effects model. J Commun. 2013;63:221–43. doi: 10.1111/jcom.12024. DOI
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. doi: 10.1111/j.1468-2885.2007.00296.x. DOI
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.
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. doi: 10.1136/thx.2006.070169. PubMed DOI PMC
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. doi: 10.1111/j.1752-9824.2011.01090.x. DOI
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. doi: 10.1123/pes.2014-0074. PubMed DOI
Conn KM, Hernandez T, Puthoor P, Fagnano M, Halterman JS. Screen time use among urban children with asthma. Acad Pediatr. 2009;9(1):60–3. doi: 10.1016/j.acap.2008.10.001. PubMed DOI PMC
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. doi: 10.1016/j.jadohealth.2013.09.010. PubMed DOI
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. doi: 10.4236/health.2013.511A2005. DOI
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. doi: 10.1007/s12402-011-0065-z. PubMed DOI PMC
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. doi: 10.1016/j.eurpsy.2010.04.011. PubMed DOI
Sibley BA, Etnier JL. The relationship between physical activity and cognition in children: a meta-analysis. Pediatr Exerc Sci. 2003;15(3):243–56.
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.
American Academy of Pediatrics. Committee on Public Education Children, adolescents, and television. Pediatrics. 2001;107(2):423–6. doi: 10.1542/peds.107.2.423. PubMed DOI
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. doi: 10.1016/j.chb.2015.06.047. DOI
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. PubMed
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
Lang DM, Butz A, Duggan AK, Serwint JR. Physical activity in urban school-aged children with asthma. Pediatrics. 2004;113(4):341–6. doi: 10.1542/peds.113.4.e341. PubMed DOI
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. doi: 10.1093/eurpub/ckr175. PubMed DOI
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. doi: 10.1016/0197-0070(90)90110-N. PubMed DOI
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. doi: 10.1016/S0165-0327(99)00110-X. PubMed DOI
Ryan RM, Rigby CS, Przybylski A. The motivational pull of video games: a self-determination theory approach. Motiv Emotion. 2006;30(4):344–60. doi: 10.1007/s11031-006-9051-8. DOI
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. doi: 10.1027/1864-1105.21.3.126. DOI
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. doi: 10.1111/j.1460-2466.2012.01649.x. DOI
Brindova D, Dankulincova Veselska Z, Sigmundova D, Madarasova GA. 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. PubMed
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. doi: 10.1186/1471-2377-10-12. PubMed DOI PMC
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. doi: 10.1207/S15326942DN1903_3. PubMed DOI
Kuss DJ, Griffiths MD. Internet and gaming addiction: a systematic literature review of neuroimaging studies. Brain Sci. 2012;2(3):347–74. doi: 10.3390/brainsci2030347. PubMed DOI PMC
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. doi: 10.1016/j.jadohealth.2007.02.002. PubMed DOI
Mayes SD, Calhoun SL, Crowell EW. Learning disabilities and ADHD overlapping spectrum disorders. J Learn Disabil. 2000;33(5):417–24. doi: 10.1177/002221940003300502. PubMed DOI
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. doi: 10.1177/0022219413518582. PubMed DOI