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Journal of Public Health

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23.03.2019 | Review Article

Screen time and adiposity among children and adolescents: a systematic review

verfasst von: Madhvi Tripathi, Shailendra Kumar Mishra

Erschienen in: Journal of Public Health | Ausgabe 3/2020

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Abstract

Background

The younger generation is witnessing a major lifestyle change due to the incorporation of a myriad digital devices into their daily lives. Susceptibility to screen exposure at an early age may have far-reaching effects on health outcomes. A review of various cross-cultural studies would help to ascertain the impacts of screen-based technologies on adiposity among children and adolescents.

Objective

To examine the relationship between screen time and indicators of adiposity among children and adolescents, based on a systematic review of previous research carried out in this area around the world.

Methods

Articles in English language from 2010 to 2017 were selected through web databases such as Google Scholar, Science Direct, Research Gate, Pub Med, etc. Published empirical research works that demonstrated the association between screen time or sedentary time and adiposity measures such as BMI, percentage of body fat, and waist circumference were included for review. The search was limited to boys and girls aged 5–19 years. For this review, 235 full-text articles were collected, out of which only 40 met the inclusion criteria. Of 40 selected studies, 36 had reported results for BMI, seven for percentage of body fat, and 13 for waist circumference. With regard to screen-related activities, data were obtained mainly for TV viewing (n = 18), computer use (n = 11), video game playing (n = 5) and Internet use (n = 1).

Result

Among the studies selected for review, 85% (31 cross-sectional, six longitudinal and one interventional, i.e. n = 38) indicated positive association between screen time and incidences of adiposity among children and adolescents. However, 15% (n = 6) of the studies (four cross-sectional, one longitudinal and one interventional) reported no significant associations between time spent on screen devices and any of the indicators of adiposity. None of the studies showed a negative association. Age- and gender-related differences were also seen in usage of screen-based technologies and related activities.

Conclusion

Reducing overall use of screen technologies and displacing it with other active pursuits, increasing sleep duration, and promoting healthy lifestyle behaviors could be an effective approach to attenuate increased risks of overweight or obesity and improve health of children and adolescents.

Al-Agha AE, Nizar FS, Nahhas AM (2016) The association between body mass index and duration spent on electronic devices in children and adolescents in Western Saudi Arabia. Saudi Med J 37(4):436–439. https://doi.org/10.15537/smj.2016.4.15018 CrossRefPubMedPubMedCentral

Altenburg T, Hofsteenge G, Wejis P, Delemarre-van de Waal H, Chinapaw M (2012) Self-reported screen time and cardiometabolic risk in obese Dutch adolescents. PLoS One 7(12):01–04. https://doi.org/10.1371/journal.pone.0053333 CrossRef

American Academy of Pediatrics (2011) Policy statement—children, adolescents, obesity, and the media. Pediatrics 128(1):201–208. www.pediatrics.org/cgi/doi/10.1542/peds.2011-1066 CrossRef

Anderson PM (2012) Parental employment, family routines and childhood obesity. Econ Hum Biol 10(4):340–351CrossRef

Arango CM, Parra DC, Gomez LF, Lema L, Lobelo F, Ekeuland U (2014) Screen time, cardiorespiratory fitness and adiposity among school-aged children from Monteria, Colombia. J Sci Med Sport 17(5):491–495. https://doi.org/10.1016/j.jsams.2013.09.010 CrossRefPubMed

Arcan C, Hannan PJ, Fulkerson JA, Himes JH, Rock BH, Smyth M, Story M (2013) Associations of home food availability, dietary intake, screen time and physical activity with BMI in young American-Indian children. Public Health Nutr 16(1):146–155. https://doi.org/10.1017/S136898001200033X CrossRefPubMed

Arora T, Hosseini-Araghi M, Bishop J, Yao GL, Thomas GN, Taheri S (2013) The complexity of obesity in UK adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Pediatr Obes 8:358–366. https://doi.org/10.1111/j.2047-6310.2012.00119.x CrossRefPubMed

Barnett TA, O’Loughlin J, Sabiston CM, Karp I, Be’langer M, Hulst AV, Lambert M (2010) Teens and screens: the influence of screen time on adiposity in adolescents. Am J Epidemiol 172(3):255–262. https://doi.org/10.1093/aje/kwq125 CrossRefPubMed

Bickham DS, Blood EA, Walls CE, Shrier LA, Rich M (2013) Characteristics of screen media use associated with higher BMI in young adolescents. Pediatrics 131(5):935–941. https://doi.org/10.1542/peds.2012-1197 CrossRefPubMedPubMedCentral

Borgogna N, Lockhart G, Grenard JL, Barrett T, Shiffman S, Reynolds KD (2015) Ecological momentary assessment of urban adolescents’ technology use and cravings for unhealthy snacks and drinks: differences by ethnicity and sex. J Acad Nutr Diet 115(5):759–766. https://doi.org/10.1016/j.jand.2014.10.015 CrossRefPubMed

Buchanan LR, Rooks-Peck CR, Finnie RKC, Wethington HR, Jacob V, Fulton JE, Johnson DB, Kahwati LC, Pratt CA, Ramirez G, Mercer SL, Glanz K, Community Preventive Services Task Force (2016) Reducing recreational sedentary screen time: a community guide systematic review. Am J Prev Med 50(3):402–415. https://doi.org/10.1016/j.amepre.2015.09.030 CrossRef

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

Chaput JP, Visby T, Klingenberg L, Gregersen NT, Tremblay A, Astrup A, Sjodin A (2011) Video game playing increases food intake in adolescents: a randomized crossover study. Am J Clin Nutr 93(6):1196–1203. Accessed 05 Nov 2017CrossRef

Chaput J-P, Leduc G, Boyer C, Bélanger P, LeBlanc AG, Borghese MM, Tremblay MS (2014) Electronic screens in children’s bedrooms and adiposity, physical activity and sleep: do the number and type of electronic devices matter? Can J Public Health 105(4):273–279. Accessed on 16 July 2018. https://www.ncbi.nlm.nih.gov/pubmed/25166130 CrossRef

Chinapaw MJM, Altenburg TM, Eijsden MV, Gemke R, Vrijkotte T (2014) Screen time and cardiometabolic function in Dutch 5–6 year olds: cross-sectional analysis of the ABCD-study. BMC Public Health 933(14):01–06. https://doi.org/10.1186/1471-2458-14-933 CrossRef

Colley RC, Garriguet D, Janssen I, Wong SL, Saunders TJ, Carson TMS (2013) The association between accelerometer-measured patterns of sedentary time and health risk in children and youth: results from the Canadian Health Measures Survey. BMC Public Health 200(13):01–09. https://doi.org/10.1186/1471-2458-13-200 CrossRef

Coombs NA, Stamatakis E (2015) Associations between objectively assessed and questionnaire-based sedentary behaviour with BMI-defined obesity among general population children and adolescents living in England. BMJ Open 5(6):e007172. https://doi.org/10.1136/bmjopen-2014-00717

Crowder JS, Sisson SB, Ramey E, Arnold SH, Richardson S, DeGrace BW (2012) How did the television get in the child's bedroom? Analysis of family interviews. Prev Med 55(6):623–628CrossRef

de Jong E, Visscher TLS, HiraSing RA, Heymans MW, Seidell JC, Renders CM (2013) Association between TV viewing, computer use and overweight, determinants and competing activities of screen time in 4- to 13-year-old children. Int J Pediatr Obes 37:47–53. Accessed on 06 Dec 2017CrossRef

Ekelund U, Luan J, Sherar L, Esliger D, Griew P, Cooper A (2012) Moderate to vigorous physical activity and sedentary time and cardiometabolic risk factors in children and adolescents. JAM 307(7):704–712. Accessed on 18 Sept 2017. http://jamanetwork.com/ CrossRef

Fakhouri THI, Hughes JP, Brody DJ, Kit BK, Ogden CI (2013) Physical activity and screen-time viewing among elementary school–aged children in the United States from 2009 to 2010. JAMA Pediatr 167(3):223–229. https://doi.org/10.1001/2013.jamapediatrics.122 CrossRefPubMed

Fitzpatrick C, Pagani L, Barnett T (2012) Early childhood television viewing predicts explosive leg strength and waist circumference by middle childhood. Int J Behav Nutr Phys Act 87(9):01–06. https://doi.org/10.1186/1479-5868-9-87 CrossRef

Garmy P (2014) Sleep, television, texting and computer habits and overweightness in schoolchildren and adolescents. In: Mazzariello R (Ed.) Psychology of habits. Nova Science, Hauppauge NY, pp 29–44

Ghavarnzadeh S, Khalkhali HR, Alizadeh M (2013) TV viewing, independent of physical activity and obesogenic foods, increases overweight and obesity in adolescents. J Health Popul Nutr 3(3):334–342

Gilbert-Diamond D, Li Z, Adachi-Mejia AM, McClure AC, Sargent JD (2014) Association of a television in the bedroom with increased adiposity gain in a nationally representative sample of children and adolescents. JAMA Pediatr 168(5):427–434. https://doi.org/10.1001/jamapediatrics.2013.3921 CrossRefPubMedPubMedCentral

Hardy LL, Denney-Wilson E, Thrift AP, Okely AD, Baur LA (2010) Screen time and metabolic risk factors among adolescents. Arch Pediatr Adolesc Med 164(7):643–649. Accessed from http://jamanetwork.com/ on 18 Sept 2017CrossRef

Henderson M, Benedetti A, Barnett TA, Mathieu M-E, Deladoey J, Gray-Donald K (2016) Influence of adiposity, physical activity, fitness, and screen time on insulin dynamics over 2 years in children. JAMA Pediatr 170(3):227–235. https://doi.org/10.1001/jamapediatrics.2015.3909 CrossRefPubMed

Iannotti RJ, Wang J (2013) Trends in physical activity, sedentary behavior, diet, andBMI among US adolescents, 2001–2009. Pediatrics 132(4):606–614. https://doi.org/10.1542/peds.2013-1488 CrossRef

Jackson L, Von Eye A, Fitzgerald H, Witt EA, Zhao Y (2011) Internet use, videogame playing and cell phone use as predictors of children’s body mass index (BMI), body weight, academic performance, and social and overall self-esteem. Comput Hum Behav 27(1):599–604. https://doi.org/10.1016/j.chb.2010.10.019 CrossRef

Kim Y, Barreira TV, Kang M (2016) Concurrent associations of physical activity and screen-based sedentary behavior on obesity among us adolescents: a latent class analysis. J Epidemiol 26(3):137–144. https://doi.org/10.2188/jea.JE20150068 CrossRefPubMedPubMedCentral

Kimbro RT, Brooks-Gunn J, McLanahan S (2011) Young children in urban areas: links among neighborhood characteristics, weight status, outdoor play and television watching. Soc Sci Med 72(5):668–676. https://doi.org/10.1016/j.socscimed.2010.12.015 CrossRefPubMedPubMedCentral

LeBlanc AG, Broyles ST, Chaput J-P, Leduc G, Boyer C, Borghese MM, Tremblay MS (2015a) Correlates of objectively measured sedentary time and self-reported screen time in Canadian children. Int J Behav Nutr Phys Act 38(12):01–12. https://doi.org/10.1186/s12966-015-0197-1 CrossRef

LeBlanc AG, Chaput J-P, McFariane A, Colley RC, Thivel D, Biddle SJH, Maddison R, Leatherdale ST, Tremblay MS (2013) Active video games and health indicators in children and youth: a systematic review. PLoS One 8(6):e65351. https://doi.org/10.1371/journal.pone.0065351. CrossRefPubMedPubMedCentral

LeBlanc AG, Katzmarzyk PT, Barreira TV, Broyles ST, Chaput J-P, Church TS, Fogelholm M, Harrngton DM, Hu G, Kuriyan R, Kurpad A, Lambert EV, Maher C, Mala J, Matsudo V, Olds T, Onywera V, Sarmiento OL, Standage M, Tudor-Locke C, Zhao P, Tremblay MS, ISCOLE Research Group (2015b) Correlates of total sedentary time and screen time in 9–11 year-old children around the world: the international study of childhood obesity, lifestyle and the environment. PLoS One 10(6):01–20. https://doi.org/10.1371/journal.pone.0129622 CrossRef

Machado-Rodrigues AM, Leite N, Coelho-e-Silva MJ, Enes F, Fernandes R, Mascarenhas LPG, Boguszewski MCS, Malina RM (2015) Metabolic risk and television time in adolescent females. Int J Public Health 60:157–165. https://doi.org/10.1007/s00038-014-0625-z CrossRefPubMed

Maddison R, Foley L, Mhurchu C, Jiang Y, Jull A, Prapavessis H, Hohepa M, Rodgers A (2011) Effects of active video games on body composition: a randomized controlled trial. Am J Clin Nutr 94:156–163. Accessed on 01 Sept 2017CrossRef

Martinez-Gomez D, Rey-López JP, Chillón P, Gómez-Martínez S, Vicente-Rodríguez G, Martín-Matillas M, Garcia-Fuentes M, Delgado M, Moreno LA, Veiga OL, Eisenmann JC, Marcos A, AVENA Study Group (2010) Excessive TV viewing and cardiovascular disease risk factors in adolescents. The AVENA cross-sectional study. BMC Public Health 274(10):1–8. https://doi.org/10.1186/1471-2458-10-274 CrossRef

Nightingale CM, Rudnicka AR, Donin AS Sattar N, Cook DG, Whincup PH, Owen CG (2017) Screen time is associated with adiposity and insulin resistance in children. Arch Dis Child 0:1–5. https://doi.org/10.1136/archdischild-2016-312016 CrossRef

Olds T, Maher C, Ridley K, Kittel D (2010) Descriptive epidemiology of screen and nonscreen sedentary time in adolescents: a cross sectional study. Int J Behav Nutr Phys Act 92(7):1–9. https://doi.org/10.1186/1479-5868-7-92 CrossRef

Ramirez ER, Norman GJ, Rosenberg DE, Kerr J, Saelens BE, Durant N, Sallis JF (2011) Adolescent screen time and rules to limit screen time in the home. J Adolesc Health 48:379–385. Retrieved from http://pediatrics.aappublications.org/ by guest on December 20, 2017CrossRef

Robinson T, Matheson D, Kraemer HC, Wilson DM, Obarzanek E, Thompson NS, Alhassan S, Spencer TR, Haydel KF, Fujimoto M, Varady A, Killen JD (2010) A randomized controlled trial of culturally tailored dance and reducing screen time to prevent weight gain in low-income African-American girls. Arch Pediatr Adolesc Med 164(11):995–1004. Accessed on 04 Feb 2018CrossRef

Rosen LD, Lim AF, Felt J, Carrier LM, Cheever NA, Lara-Ruiz JM, Mendoza JS, Rokkum J (2014) Media and technology use predicts ill-being among children, preteens and teenagers independent of the negative health impacts of exercise and eating habits. Comput Hum Behav 35:364–375. https://doi.org/10.1016/j.chb.2014.01.03 CrossRef

Serrano-Sanchez JA, Martí-Trujillo S, Lera-Navarro A, Dorado-García C, González-Henríquez JJ (2011) Associations between screen time and physical activity among Spanish adolescents. PLoS One 6(9):e24453. https://doi.org/10.1371/journal.pone.0024453 CrossRefPubMedPubMedCentral

Sigmundova D, Sigmund E, Hamrik Z, Kalmanet M (2013) Trends of overweight and obesity, physical activity and sedentary behaviour in Czech schoolchildren: HBSC study. Eur J Pub Health 24(2):210–215. https://doi.org/10.1093/eurpub/ckt085 CrossRef

Silverstone S, Teatum J (2011) Technology: the problem or the solution to childhood obesity. Am J Bus Educ 4(1):37–60

Sisson S, Broyles S, Baker B, Katzmarzyk P (2010) Screen time, physical activity, and overweight in U.S. youth: national survey of children’s health 2003. J Adolesc Health 47(3):309–311CrossRef

Staiano AE, Harrington DM, Broyles ST, Gupta AK, Katzmarzyk PT (2013) Television, adiposity, and cardiometabolic risk in children and adolescents. Am J Prev Med 44(1):40–47. https://doi.org/10.1016/j.amepre.2012.09.049 CrossRefPubMedPubMedCentral

Stamatakis E, Coombs N, Jago R, Gama A, Mourão I, Nogueira H, Rosado V, Padez C (2013) Associations between indicators of screen time and adiposity indices in Portuguese children. Prev Med 56(5):299–303CrossRef

Tiberio SS, Kerr DCR, Capaldi DM, Pears KC, Kim HK, Nowicka P (2013) Parental monitoring of Children’s media consumption: the long-term influences on body mass index in children. JAMA Pediatr 168(5):414–421. https://doi.org/10.1001/jamapediatrics.2013.5483 CrossRef

Tremblay MS, LeBlanc AG, Janssen I, Kho ME, Hicks A, Murumets K, Colley RC, Duggan M (2010) Canadian sedentary behaviour guidelines for children and youth. Appl Physiol Nutr Metab 36:59–64. https://doi.org/10.1139/H11-012 CrossRef

Wilkie HJ, Standage M, Gillison FB, Cumming SP Katzmarzyk PT (2016) Multiple lifestyle behaviours and overweight and obesity among children aged 9–11 years: results from the UK site of the international study of childhood obesity, lifestyle and the environment. BMJ Open 6(2):e010677. https://doi.org/10.1136/bmjopen-2015-010677 CrossRef

Xue H, Tian G, Duan R, Quan L, Zhao L, Yang M, Libuda L, Muckelbauer R, Cheng G (2016) Sedentary behavior is independently related to fat mass among children and adolescents in South China. Nutrients 667(8):02–19. https://doi.org/10.3390/nu8110667 CrossRef

Titel: Screen time and adiposity among children and adolescents: a systematic review
verfasst von: Madhvi Tripathi
Shailendra Kumar Mishra
Publikationsdatum: 23.03.2019
Verlag: Springer Berlin Heidelberg
Erschienen in: Journal of Public Health / Ausgabe 3/2020
Print ISSN: 2198-1833
Elektronische ISSN: 1613-2238
DOI: https://doi.org/10.1007/s10389-019-01043-x

Springer Medizin

Abstract

Background

Objective

Methods

Result

Conclusion

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