Tracking of TV and video gaming during childhood: Iowa Bone Development Study

International Journal of Behavioral Nutrition and Physical Activity

Kathleen F Janz³  Steven M Levy²  Barbara Broffitt²  Frances D Sernulka-George¹  Matthew J Stancel¹  Shelby L Francis¹ 

[1] Department of Health and Human Physiology, University of Iowa, Iowa City, IA, USA;Department of Preventive and Community Dentistry, University of Iowa, Iowa City, IA, USA;Department of Epidemiology, University of Iowa, Iowa City, IA, USA

关键词: adolescence;    sedentary behavior;    stability;    physical activity;   

Others  :  1153686
DOI  :  10.1186/1479-5868-8-100

 received in 2011-03-28, accepted in 2011-09-24,  发布年份 2011

【 摘 要 】

Background

Tracking studies determine the stability and predictability of specific phenomena. This study examined tracking of TV viewing (TV) and video game use (VG) from middle childhood through early adolescence after adjusting for moderate and vigorous physical activity (MVPA), percentage of body fat (% BF), and maturity.

Methods

TV viewing and VG use were measured at ages 5, 8, 11, and 13 (n = 434) via parental- and self-report. MVPA was measured using the Actigraph, % BF using dual-energy x-ray absorptiometry, and maturity via Mirwald predictive equations. Generalized Estimating Equations (GEE) were used to assess stability and logistic regression was used to predict children "at risk" for maintaining sedentary behaviors. Additional models examined tracking only in overfat children (boys ≥ 25% BF; girls ≥ 32% BF). Data were collected from 1998 to 2007 and analyzed in 2010.

Results

The adjusted stability coefficients (GEE) for TV viewing were 0.35 (95% CI = 0.26, 0.44) for boys, 0.32 (0.23, 0.40) for girls, and 0.45 (0.27, 0.64) for overfat. For VG use, the adjusted stability coefficients were 0.14 (0.05, 0.24) for boys, 0.24 (0.10, 0.38) for girls, and 0.29 (0.08, 0.50) for overfat. The adjusted odds ratios (OR) for TV viewing were 3.2 (2.0, 5.2) for boys, 2.9 (1.9, 4.6) for girls, and 6.2 (2.2, 17.2) for overfat. For VG use, the OR were 1.8 (1.1, 3.1) for boys, 3.5 (2.1, 5.8) for girls, and 1.9 (0.6, 6.1) for overfat.

Conclusions

TV viewing and VG use are moderately stable throughout childhood and predictive of later behavior. TV viewing appears to be more stable in younger children than VG use and more predictive of later behavior. Since habitual patterns of sedentarism in young children tend to continue to adolescence, early intervention strategies, particularly to reduce TV viewing, are warranted.

【 授权许可】

   
2011 Francis et al; licensee BioMed Central Ltd.

【 图 表 】

Figure 1.

【 参考文献 】

• [1]de Onis M, Blossner M, Borghi E: Global prevalence and trends of overweight and obesity among preschool children. Am J Clin Nutr 2010, 92:1257-64.
• [2]National Center for Health Statistics: Health, United States, 2004 with chartbook on trends in the health of Americans. [http://www.ncbi.nlm.nih.gov/bookshelf/br.fcgi?book=healthus04&part=chartbook] webcite
• [3]Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM: Prevalence of high body index in us children and adolescents, 2007-2008. JAMA 2010, 303:242-249.
• [4]Boone JE, Gordon-Larsen P, Adair LS, Popkin BM: Screen time and physical activity during adolescence: longitudinal effects on obesity in young adulthood. [http://www.ijbnpa.org/content/4/1/26] webcite
• [5]Crespo CJ, Smit E, Troiano RP, Bartlett SJ, Macara CA, Anderson RE: Television watching, energy intake, and obesity in US children: results from the third National Health and Nutrition Examination Survey 1988-1994. Arch Pediatr Adolesc Med 2001, 155:360-365.
• [6]Danner FW: A national longitudinal study of the association between hours TV viewing and the trajectory of BMI growth among US children. J Pediatr Psycho 2008, 33:1100-1107.
• [7]Taylor RW, Murdoch L, Carter P, Gerrard DF, Williams SM, Taylor BJ: Longitudinal study of physical activity and inactivity in preschoolers: the FLAME Study. Med Sci Sports Exerc 2009, 41:96-102.
• [8]U.S. Department of Health and Human Services: The Surgeon General's Vision for a Healthy and Fit Nation. [http://www.surgeongeneral.gov/library/obesityvision/obesityvision2010.pdf] webcite
• [9]Malina RM: Tracking of physical activity across the lifespan. Res Digest 2001, 3:1-8.
• [10]Janz KF, Dawson JD, Mahoney LT: Tracking physical fitness and physical activity from childhood to adolescence: the Muscatine study. Med Sci Sports Exerc 2000, 32:1250-1257.
• [11]Kelly LA, Reilly JJ, Jackson DM, Montgomery C, Grant S, Paton JY: Tracking physical activity and sedentary behavior in young children. Pediatr Exerc Sci 2007, 19:51-60.
• [12]Pate RR, Baranowski T, Dowda M, Trost SG: Tracking of physical activity in young children. Med Sci Sports Exerc 1996, 28:92-96.
• [13]Baggett CD, Stevens J, McMurray RG, Evenson KR, Murray DM, Catellier DJ, He K: Tracking of physical activity and inactivity in middle school girls. Med Sci Sports Exerc 2008, 40:1916-1922.
• [14]Herman KM, Craig CL, Gauvin L, Katzmarzk PT: Tracking of obesity and physical activity from childhood to adulthood: the physical activity longitudinal study. Int J Pediatr Obes 2009, 4:281-288.
• [15]Kristensen PL, Moller NC, Korsholm L, Wedderkopp N, Andersen LB, Froberg K: Tracking of objectively measured physical activity from childhood to adolescence: The European youth heart study. Scand J Med Sci Sports 2008, 18:171-178.
• [16]McMurry RG, Harrell JS, Bangdiwala SI, Hu J: Tracking of physical activity and aerobic power from childhood through adolescence. Med Sci Sports Exerc 2003, 35:1914-1922.
• [17]Sallis JF, Berry CC, Broyles SL, McKenzie TL, Nader PR: Variability and tracking of physical activity over 2 yr in children. Med Sci Sports Exerc 1995, 27:1042-1049.
• [18]Biddle SJH, Pearson N, Ross GM, Braithwaite R: Tracking of sedentary behaviours of young people: a systematic review. Prev Med 2010, 51:354-51.
• [19]Marshall SJ, Ramirez E: Reducing sedentary behavior: A new paradigm in physical activity promotion. [http://ajl.sagepub.com/content/early/2011/02/10/1559827610395487] webcite
• [20]Hesketh K, Wake M, Graham M, Waters E: Stability of television viewing and electronic game/computer use in a prospective cohort study of Australian children: relationship with body mass index. Int J Behav Nutr Phys Act 2007, 4:60. BioMed Central Full Text
• [21]Janz KF, Burns TL, Levy SM: Tracking of activity and sedentary behaviors in childhood: The Iowa Bone Development Study. Am J Prev Med 2005, 29:171-178.
• [22]Janz KF, Levy SM, Burns TL, Torner JC, Willing MC, Warren JJ: Fatness, physical activity, and television viewing in children during the adiposity rebound period: the Iowa bone development study. Prev Med 2002, 35:563-571.
• [23]Janz KF, Burns TL, Torner JC, Levy SM, Paulos R, Willing MC, Warren JJ: Physical activity and bone measures in young children: The Iowa bone development study. Pediatrics 2001, 107:1387-1393.
• [24]Janz KF, Burns TL, Levy SM: Tracking of activity and sedentary behaviors in childhood: The Iowa bone development study. Am J Prev Med 2005, 29:171-178.
• [25]Escobar-Chaves SL, Markham CM, Addy RC, Greisinger A, Murray NG, Brehm B: The fun families study: intervention to reduce children's TV viewing. Obesity (Silver Spring) 2010, 18(Suppl 1):99-101.
• [26]Robinson TN: Reducing children's television viewing time to prevent obesity. JAMA 1999, 282:1561-7.
• [27]Salmon J, Timperio A, Telford A, Carver A, Crawford D: Association of family environment with children's television viewing and with low level of physical activity. Obes Res 2005, 13:1939-51.
• [28]Epstein LH, Paluch RA, Gordy CC, Dorn J: Decreasing sedentary behaviors in treating pediatric obesity. Arch Pediatr Adolesc Med 2000, 154:220-6.
• [29]Taveras EM, Sandora TJ, Shih MC, Ross-Degnan D, Goldmann DA, Gillman MW: The association of television and video viewing with fast food intake by preschool-age children. Obesity 2006, 14:2034-41.
• [30]Gortmaker SL, Peterson K, Wiecha J, Sobol AM, Dixit S, Fox MK, Laird N: Reducing obesity via a school-based interdisciplinary intervention among youth: Planet health. Arch Pediatr Adolesc Med 1999, 153:409-418.
• [31]Janz KF: Validation of the CSA accelerometer for assessing children's physical activity. Med Sci Sports Exerc 1994, 26:369-375.
• [32]Trost SG, Ward DS, Moorehead SM, Watson PD, Riner W, Burke JR: Validity of thecomputer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc 1998, 30:629-633.
• [33]Janz KF, Witt J, Mahoney LT: The stability of children's physical activity as measured by accelerometry and self-report. Med Sci Sports Exerc 1995, 27:1326-1332.
• [34]Treuth MS, Schmitz K, Catellier DJ, McMurray RG, Murray DM, Almeida MJ, Going S, Norman JE, Pate R: Defining accelerometer thresholds for activity intensities in adolescent girls. Med Sci Sports Exerc 2004, 36:1259-1266.
• [35]Going SB, Loham TG, Falls HB: Body Composition Assessment. [http:/ / www.cooperinstitute.org/ ourkidshealth/ fitnessgram/ documents/ FITNESSGRAM_ReferenceGuide.pdf] webciteIn Fitnessgram/Activitygram 2008 Reference Guides Edited by Welk GJ, Meredith MD.
• [36]Williams DP, Going SB, Lohman TG, Harsha DW, Srinivasan SR, Webber LS, Berenson GS: Body fatness and risk of elevated blood pressure, total cholesterol and serum lipoprotein ratios in children and adolescents. Am J Pub Hea 1992, 82:358-363.
• [37]Mirwald RL, Baxter-Jones AD, Bailey DA, Beunen GP: An assessment of maturity from anthropometric measurements. Med Sci Sports Exerc 2002, 34:689-694.
• [38]Landis JR, Koch GG: The measurement of observer agreement for categorical data. Biometrics 1977, 33:159-174.
• [39]American Academy of Pediatrics, Committee of Public Education: Children, adolescents, and television. Pediatrics 2001, 107:423-426.
• [40]Sturm R: Childhood obesity- what we can learn from existing data on societal trends, part 1. [http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1323315/] webcite
• [41]Centers for Disease Control and Prevention: Youth risk behavior surveillance: United States. MMWR 2009, 9:1-148.
• [42]Anderson DR, Field DE, Collins PA, Lorch P, Nathan JG: Estimates of young children's time with television: a methodological comparison of parent reports with time-lapse VG home observations. Child Dev 1985, 56:1345-1357.