Adiposity and different types of screen time

Pediatrics

Volumn 132, Issue 6, 2013, Pages

  Falbe, Jennifer ^a,b   Rosner, Bernard ^c   Willett, Walter C ^a,b,c   Sonneville, Kendrin R ^d   Hu, Frank B ^a,b,c   Field, Alison E ^b,c,d  

^a Departments of Nutrition   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BRIGHAM AND WOMEN S HOSPITAL   (United States)

^d BOSTON CHILDREN S HOSPITAL   (United States)

Author keywords

Adiposity; Adolescent; BMI; Body weight; Longitudinal studies; Sedentary lifestyle; Television; Video games

Indexed keywords

ADOLESCENT; ADULT; BODY MASS; CHILD; FEMALE; HUMAN; LEAN BODY WEIGHT; MAJOR CLINICAL STUDY; MALE; OBESITY; PRIORITY JOURNAL; RECREATION; REVIEW; RISK ASSESSMENT; RISK FACTOR; SCREEN TIME; SEX DIFFERENCE; TELEVISION VIEWING; WEIGHT GAIN; COMPARATIVE STUDY; FOLLOW UP; MULTIVARIATE ANALYSIS; PATHOPHYSIOLOGY; PSYCHOLOGY; QUESTIONNAIRE; SELF REPORT; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TELEVISION; UTILIZATION; VIDEORECORDING; YOUNG ADULT;

ADIPOSITY; ADOLESCENT; BODY MASS INDEX; CHILD; FEMALE; FOLLOW-UP STUDIES; HUMANS; LINEAR MODELS; MALE; MULTIVARIATE ANALYSIS; OVERWEIGHT; QUESTIONNAIRES; SELF REPORT; TELEVISION; VIDEO GAMES; VIDEODISC RECORDING; VIDEOTAPE RECORDING; WEIGHT GAIN; YOUNG ADULT;

EID: 84890736722     PISSN: 00314005     EISSN: 10984275     Source Type: Journal    
DOI: 10.1542/peds.2013-0887     Document Type: Review

References (61)

1. Rideout VJ, Foehr UG, Roberts DF. Generation M2: Media in the Lives of 8- to 18-Year-Olds. Menlo Park, CA: Kaiser Family Foundation; 2010
2. Strasburger VC, Jordan AB, Donnerstein E. Health effects of media on children and adolescents. Pediatrics. 2010;125(4):756- 767
3. Tremblay MS, LeBlanc AG, Kho ME, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98
4. Rey-López JP, Vicente-Rodríguez G, Biosca M, Moreno LA. Sedentary behaviour and obesity development in children and adolescents. Nutr Metab Cardiovasc Dis. 2008; 18(3):242-251
5. Gortmaker SL, Peterson K, Wiecha J, et al. Reducing obesity via a school-based interdisciplinary intervention among youth: Planet Health. Arch Pediatr Adolesc Med. 1999;153(4):409-418
6. Epstein LH, Roemmich JN, Robinson JL, et al. A randomized trial of the effects of reducing television viewing and computer use on body mass index in young children. Arch Pediatr Adolesc Med. 2008;162(3): 239-245
7. Robinson TN. Reducing children's television viewing to prevent obesity: A randomized controlled trial. JAMA. 1999;282(16):1561- 1567
8. Lajunen HR, Keski-Rahkonen A, Pulkkinen L, Rose RJ, Rissanen A, Kaprio J. Leisure activity patterns and their associations with overweight: A prospective study among adolescents. J Adolesc. 2009;32(5):1089- 1103
9. O'Loughlin J, Gray-Donald K, Paradis G, Meshefedjian G. One- and two-year predictors of excess weight gain among elementary schoolchildren in multiethnic, low-income, inner-city neighborhoods. Am J Epidemiol. 2000;152(8):739-746
10. Janz KF, Burns TL, Levy SM; Iowa Bone Development Study. Tracking of activity andsedentary behaviors in childhood: The Iowa Bone Development Study. Am J Prev Med. 2005;29(3):171-178
11. Gordon-Larsen P, Adair LS, Popkin BM. Ethnic differences in physical activity and inactivity patterns and overweight status. Obes Res. 2002;10(3):141-149
12. Hesketh K, Carlin J, Wake M, Crawford D. Predictors of body mass index change in Australian primary school children. Int J Pediatr Obes. 2009;4(1):45-53
13. Berkey CS, Rockett HR, Gillman MW, Colditz GA. One-year changes in activity and in inactivity among 10- to 15-year-old boys and girls: Relationship to change in body mass index. Pediatrics. 2003;111(4 pt 1):836-843
14. Zimmerman FJ, Bell JF. Associations of television content type and obesity in children. Am J Public Health. 2010;100(2):334-340
15. Berkey CS, Rockett HR, Colditz GA. Weight gain in older adolescent females: The Internet, sleep, coffee, and alcohol. J Pediatr. 2008;153(5):635-639, 639.e1
16. Bell RA, Cassady D, Culp J, Alcalay R. Frequency and types of foods advertised on Saturday morning and weekday afternoon English- and Spanish-language American television programs. J Nutr Educ Behav. 2009;41(6):406-413
17. Harris JL, Weinberg ME, Schwartz MB, Ross C, Ostroff J, Brownell KD. Trends in television food advertising progress in reducing unhealthy marketing to young people? 2010. Available at: www.yaleruddcenter.org/resources/upload/ docs/what/reports/RuddReport-TVFoodAdvertising-2.10.pdf. Accessed January 24, 2012
18. Batada A, Seitz MD, Wootan MG, Story M. Nine out of 10 food advertisements shown during Saturday morning children's television programming are for foods high in fat, sodium, or added sugars, or low in nutrients. J Am Diet Assoc. 2008;108(4): 673-678
19. Swinburn B, Shelly A. Effects of TV time and other sedentary pursuits. Int J Obes (Lond). 2008;32(suppl 7):S132-S136
20. Sonneville KR, Gortmaker SL. Total energy intake, adolescent discretionary behaviors and the energy gap. Int J Obes (Lond). 2008; 32(suppl 6):S19-S27
21. Blass EM, Anderson DR, Kirkorian HL, Pempek TA, Price I, Koleini MF. On the road to obesity: Television viewing increases intake of high-density foods. Physiol Behav. 2006;88(4-5):597-604
22. Miller SA, Taveras EM, Rifas-Shiman SL, Gillman MW. Association between television viewing and poor diet quality in young children. Int J Pediatr Obes. 2008;3(3):168- 176
23. Harris JL, Bargh JA, Brownell KD. Priming effects of television food advertising on eating behavior. Health Psychol. 2009;28(4): 404-413
24. Montgomery KC, Grier S, Chester J, Dorfman L. Food marketing in the digital age: A conceptual framework and agenda for research. April 1, 2011. Available at: http://digitalads.org/documents/Digital-Food-Mktg-Conceptual- Model%20Report.pdf. Accessed January 19, 2013
25. PQMedia. Global product placement spending up 10% to $7.4 billion in 2011, pacing for 11% growth in 2012, as wireless technology, changing consumer habits & looser regulations compel brands to invest in alternative marketing solutions. December 4, 2012. Available at: www.pqmedia.com/about- press-201212.html. Accessed February 8, 2013
26. Kolish ED. The Children's Food & Beverage Advertising Initiative white paper on CFBAI's uniform nutrition criteria. July 2011. Available at: www.bbb.org/us/storage/0/Shared %20Documents/ White%20Paper%20on%20CFBAI%20Uniform%20Nutrition%20Criteria% 20July%202011.pdf. Accessed January 8, 2012
27. Rich-Edwards JW, Goldman MB, Willett WC, et al. Adolescent body mass index and infertility caused by ovulatory disorder. Am J Obstet Gynecol. 1994;171(1):171-177
28. Berkey CS, Colditz GA. Adiposity in adolescents: Change in actual BMI works betterthan change in BMI z score for longitudinal studies. Ann Epidemiol. 2007;17(1):44-50
29. Strauss RS. Comparison of measured and self-reported weight and height in a crosssectional sample of young adolescents. Int J Obes Relat Metab Disord. 1999;23(8):904-908
30. Shannon B, Smiciklas-Wright H, Wang MQ. Inaccuracies in self-reported weights and heights of a sample of sixth-grade children. J Am Diet Assoc. 1991;91(6):675-678
31. Goodman E, Hinden BR, Khandelwal S. Accuracy of teen and parental reports of obesity and body mass index. Pediatrics. 2000;106(1 pt 1):52-58
32. Field AE, Aneja P, Rosner B. The validity of self-reported weight change among adolescents and young adults. Obesity (Silver Spring). 2007;15(9):2357-2364
33. Cole TJ, Bellizzi MC, Flegal KM, Dietz WH. Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ. 2000;320(7244): 1240-1243
34. Rosner B. Percentage points for a generalized ESD many-outlier procedure. Technometrics. 1983;25(2):165-172
35. Schmitz KH, Harnack L, Fulton JE, et al. Reliability and validity of a brief questionnaire to assess television viewing and computer use by middle school children. J Sch Health. 2004;74(9):370-377
36. Ainsworth BE, Haskell WL, Whitt MC, et al. Compendium of physical activities: An update of activity codes and MET intensities. Med Sci Sports Exerc. 2000;32(suppl 9): S498-S504
37. Morris NM, Udry Jr. Validation of a selfadministered instrument to assess stage of adolescent development. J Youth Adolesc. 1980;9(3):271-280
38. Durrleman S, Simon R. Flexible regression models with cubic splines. Stat Med. 1989;8 (5):551-561
39. Berkey CS, Rockett HR, Field AE, et al. Activity, dietary intake, and weight changes in a longitudinal study of preadolescent and adolescent boys and girls. Pediatrics. 2000; 105(4). Available at: www.pediatrics.org/cgi/content/ full/105/4/e56
40. Halford JC, Boyland EJ, Hughes G, Oliveira LP, Dovey TM. Beyond-brand effect of television (TV) food advertisements/commercials oncaloric intake and food choice of 5-7-yearold children. Appetite. 2007;49(1):263-267
41. Borzekowski DL, Robinson TN. The 30-second effect: An experiment revealing the impact of television commercials on food preferences of preschoolers. J Am Diet Assoc. 2001;101 (1):42-46
42. Sutherland LA, Mackenzie T, Purvis LA, Dalton M. Prevalence of food and beverage brands in movies: 1996-2005. Pediatrics. 2010;125(3):468-474
43. Chaput JP, Visby T, Nyby S, et al. Video game playing increases food intake in adolescents: A randomized crossover study. Am J Clin Nutr. 2011;93(6):1196-1203
44. Folkvord F, Anschütz DJ, Buijzen M, Valkenburg PM. The effect of playing advergames that promote energy-dense snacks or fruit on actual food intake among children. Am J Clin Nutr. 2013;97(2):239-245
45. Martinez-Gómez D, Gomez-Martinez S, Ruiz JR, Ortega FB, Marcos A, Veiga OL. Video game playing time and cardiometabolic risk in adolescents: The AFINOS study. Med Clin (Barc). 2012;139(7):290-292
46. Gopinath B, Baur LA, Hardy LL, et al. Relationship between a range of sedentary behaviours and blood pressure during early adolescence. J Hum Hypertens. 2012; 26(6):350-356
47. Goldfield GS, Kenny GP, Hadjiyannakis S, et al. Video game playing is independently associated with blood pressure and lipids in overweight and obese adolescents. PLoS ONE. 2011;6(11):e26643
48. Bruce AS, Lepping RJ, Bruce JM, et al. Brain responses to food logos in obese and healthy weight children. J Pediatr. 2013;162 (4):759-764.e2
49. Forman J, Halford JC, Summe H, MacDougall M, Keller KL. Food branding influences ad libitum intake differently in children depending on weight status. Results of a pilot study. Appetite. 2009;53(1):76-83
50. Halford JC, Boyland EJ, Hughes GM, Stacey L, McKean S, Dovey TM. Beyond-brand effect of television food advertisements on food choice in children: The effects of weight status. Public Health Nutr. 2008;11(9):897-904
51. Interagency Working Group on Food Marketed to Children. Preliminary proposed nutrition principles to guide industry selfregulatoryefforts: Request for comments. April 2011. Available at: www.ftc.gov/os/2011/04/ 110428foodmarketproposedguide. pdf. Accessed November 8, 2012
52. Bickham DS, Blood EA, Walls CE, Shrier LA, Rich M. Characteristics of screen media use associated with higher BMI in young adolescents. Pediatrics. 2013;131(5):935- 941
53. Kovacic WE, Harbour PJ, Leibowitz J, Rosch TJ. Marketing Food to Children and Adolescents: A Review of Industry Expenditures, Activities, and Self-Regulation. A Report to Congress. Washington, DC: Federal Trade Commission; 2008
54. Bellissimo N, Pencharz PB, Thomas SG, Anderson GH. Effect of television viewing at mealtime on food intake after a glucose preload in boys. Pediatr Res. 2007;61(6): 745-749
55. Temple JL, Giacomelli AM, Kent KM, Roemmich JN, Epstein LH. Television watching increases motivated responding for food and energy intake in children. Am J Clin Nutr. 2007;85(2): 355-361
56. Higgs S, Woodward M. Television watching during lunch increases afternoon snack intake of young women. Appetite. 2009;52 (1):39-43
57. Oldham-Cooper RE, Hardman CA, Nicoll CE, Rogers PJ, Brunstrom JM. Playing a computer game during lunch affects fullness, memory for lunch, and later snack intake. Am J Clin Nutr. 2011;93(2):308-313
58. Ogden CL, Carroll MD, Kit BK, Flegal KM. Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA. 2012;307(5):483- 490
59. Foehr UG. Media Multitasking Among American Youth: Prevalence, Predictors and Pairings. Menlo Park, CA: Kaiser Family Foundation; 2006
60. Schmidt ME, Haines J, O'Brien A, et al. Systematic review of effective strategies for reducing screen time among young children. Obesity (Silver Spring). 2012;20 (7):1338-1354
61. Strasburger VC; Council on Communications and Media. Children, adolescents, obesity, and the media. Pediatrics. 2011;128 (1):201-208