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2015 | 07 | 2 |

Tytuł artykułu

Examining the correlates of out-of-school television viewing, computer use and overall time in sedentary behaviors among Finnish 11-year-old children

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Background: This study aimed to examine the associations between individual, social and environmental characteristics and out-of-school television viewing, computer use, and overall time spent in sedentary behaviors. Material/Methods: A sample of 11-year-old children (N = 155) in Finland wore an accelerometer (Actigraph GT3X) for seven days. Before the accelerometer-use, questionnaire assessments of television viewing, computer use, reported PA, bedtimes, wake-up times, perceived parental PA and PA encouragement and measurements of weight and height were obtained. Weather data were obtained for the 7 days of accelerometer use and parents reported their educational background. Associations between the studied correlates and average minutes of out-of-school television viewing, computer use, and overall time spent in sedentary behaviors were tested using multiple linear regression analyses. Results: Television viewing, computer use, and overall time in sedentary behaviors primarily had separate individual and social correlates. Only recorded and reported PA were associated with all the outcomes. Of the physical environmental correlates, colder after school temperatures and less hours of daylight were associated with increased overall time in sedentary behaviors. Conclusions: Preventive interventions and studies should take into account the separate correlates of television viewing, computer use, and overall time in sedentary behaviors.

Słowa kluczowe

Twórcy

autor
  • Samfundet Folkhalsan, Folkhalsan Research Center, Finland
autor
  • Samfundet Folkhalsan, Folkhalsan Research Center, Finland
autor
  • Samfundet Folkhalsan, Folkhalsan Research Center, Finland
  • Samfundet Folkhalsan, Folkhalsan Research Center, Finland
  • Department of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland
  • Department of General Practice and Primary Health Care, University of Helsinki, Finland
  • Vasa Central Hospital, Finland
  • Unit of General Practice, Helsinki University Central Hospital, Finland
  • Samfundet Folkhalsan, Folkhalsan Research Center, Finland
  • Department of Community Medicine, Faculty of Health Sciences, UIT The Arctic University of Norway, Tromso, Norway
  • Department of Research, Cancer Registry of Norway, Oslo, Norway
  • Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
autor
  • Samfundet Folkhalsan, Folkhalsan Research Center, Finland
  • Department of Public Health, Hjelt Institute, University of Helsinki, Helsinki, Finland

Bibliografia

  • [1] Dunstan DW, Barr EL, Healy GN, Salmon J, Shaw JE, Balkau B, et al. Television viewing time and mortality: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Circulation. 2010 Jan 26;121(3):384-391.
  • [2] Katzmarzyk PT, Church TS, Craig CL, Bouchard C. Sitting time and mortality from all causes, cardiovascular disease, and cancer. Med Sci Sports Exerc. 2009 May;41(5):998-1005.
  • [3] Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011 Sep 21;8:98-5868-8-98.
  • [4] Hancox RJ, Milne BJ, Poulton R. Association between child and adolescent television viewing and adult health: a longitudinal birth cohort study. Lancet. 2004 Jul 17-23;364(9430):257-262.
  • [5] Janz KF, Burns TL, Levy SM, Iowa Bone Development Study. Tracking of activity and sedentary behaviors in childhood: the Iowa Bone Development Study. Am J Prev Med. 2005 Oct;29(3):171-178.
  • [6] Owen N, Sugiyama T, Eakin EE, Gardiner PA, Tremblay MS, Sallis JF. Adults’ sedentary behavior determinants and interventions. Am J Prev Med. 2011 Aug;41(2):189-196.
  • [7] Sallis J, Owen N, Fisher E. Ecological models of health behavior. In: Glanz K, Rimer BK, Lewis FM, editors. Health behavior and health education: theory, research & practice. 4th ed. San Francisco, USA: Jossey--Bass; 2008. p. 465-486.
  • [8] Brodersen NH, Steptoe A, Williamson S, Wardle J. Sociodemographic, developmental, environmental, and psychological correlates of physical activity and sedentary behavior at age 11 to 12. Ann Behav Med. 2005 Feb;29(1):2-11.
  • [9] Ortlieb S, Schneider G, Koletzko S, Berdel D, von Berg A, Bauer CP, et al. Physical activity and its correlates in children: a cross-sectional study (the GINIplus & LISAplus studies). BMC Public Health. 2013 Apr 16;13:349-2458-13-349.
  • [10] van Sluijs EM, Page A, Ommundsen Y, Griffin SJ. Behavioural and social correlates of sedentary time in young people. Br J Sports Med. 2010 Aug;44(10):747-755.
  • [11] Biddle SJ, Gorely T, Marshall SJ. Is television viewing a suitable marker of sedentary behavior in young people? Ann Behav Med. 2009 Oct;38(2):147-153.
  • [12] Marshall S, Biddle S, Sallis J, McKenzie T, Conway T. Clustering of sedentary behaviors and physical activity among youth: a cross-national study. Pediatr Exerc Sci. 2002;14:401-417.
  • [13] Van Der Horst K, Paw MJ, Twisk JW, Van Mechelen W. A brief review on correlates of physical activity and sedentariness in youth. Med Sci Sports Exerc. 2007 Aug;39(8):1241-1250.
  • [14] Jago R, Baranowski T, Baranowski JC, Thompson D, Greaves KA. BMI from 3-6 y of age is predicted by TV viewing and physical activity, not diet. Int J Obes. (Lond) 2005 Jun;29(6):557-564.
  • [15] Sallis JF, Saelens BE. Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport. 2000 Jun;71(2 Suppl):S1-14.
  • [16] Shephard RJ. Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003 Jun;37(3):197-206; discussion 206.
  • [17] Cleland VJ, Schmidt MD, Salmon J, Dwyer T, Venn A. Correlates of pedometer-measured and self-reported physical activity among young Australian adults. J Sci Med Sport. 2011 Nov;14(6):496-503.
  • [18] Terwee CB, Bouwmeester W, van Elsland SL, de Vet HC, Dekker J. Instruments to assess physical activity in patients with osteoarthritis of the hip or knee: a systematic review of measure-ment properties. Osteoarthritis Cartilage. 2011 Jun;19(6):620-633.
  • [19] Janz KF. Physical activity in epidemiology: moving from questionnaire to objective measurement. Br J Sports Med. 2006 Mar;40(3):191-192.
  • [20] Sarkkola C, Simola S, Seppänen V, Roos E, Weiderpass E. Childhood growth environment and genetic factors as determinants of overweight and obesity – The Finnish health in teens study – FIN-HIT. Obesity Reviews. 2011;12(1):248.
  • [21] Hanggi JM, Phillips LR, Rowlands AV. Validation of the GT3X ActiGraph in children and comparison with the GT1M ActiGraph. J Sci Med Sport. 2013 Jan;16(1):40-44.
  • [22] Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008 Dec;26(14):1557-1565.
  • [23] Cole TJ, Lobstein T. Extended international (IOTF) body mass index cut-offs for thinness, overweight and obesity. Pediatric Obesity 2012;7:284-294.
  • [24] Leatherdale ST, Wong SL. Modifiable characteristics associated with sedentary behaviours among youth. Int J Pediatr Obes. 2008;3(2):93-101.
  • [25] Norman GJ, Schmid BA, Sallis JF, Calfas KJ, Patrick K. Psychosocial and environmental correlates of adolescent sedentary behaviors. Pediatrics. 2005 Oct;116(4):908-916.
  • [26] Eisenmann JC, Bartee RT, Wang MQ. Physical activity, TV viewing, and weight in U.S. youth: 1999 Youth Risk Behavior Survey. Obes Res. 2002 May;10(5):379-385.
  • [27] Sisson SB, Broyles ST, Baker BL, Katzmarzyk PT. Television, reading, and computer time: correlates of school-day leisure-time sedentary behavior and relationship with overweight in children in the U.S. J Phys Act Health. 2011 Sep;8 Suppl 2:S188-97.
  • [28] 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 Jul 30;88(4-5):597-604.
  • [29] Babey SH, Hastert TA, Wolstein J. Adolescent sedentary behaviors: correlates differ for television viewing and computer use. J Adolesc Health. 2013 Jan;52(1):70-76.
  • [30] Pate RR, Mitchell JA, Byun W, Dowda M. Sedentary behaviour in youth. Br J Sports Med. 2011 Sep;45(11):906-913.
  • [31] Epstein L, Roemmich J, Paluch R. Physical Activity as a Substitute for Sedentary Behavior in Youth. Ann Behav Med. 2005;29(3):200-209.
  • [32] Nuutinen T, Ray C, Roos E. Do computer use, TV viewing, and the presence of the media in the bedroom predict school-aged children’s sleep habits in a longitudinal study? BMC Public Health 2013 Jul 26;13:684- 2458-13-684.
  • [33] Edwardson C, Gorely T. Parental influences on different types and intensities of physical activity in youth: A systematic Review. Psychol Sport Exerc. 2010;11:522-535.
  • [34] Goodman A, Paskins J, Mackett R. Day length and weather effects on children’s physical activity and participation in play, sports, and active travel. J Phys Act Health 2012 Nov;9(8):1105-1116.
  • [35] Kolle E, Steene-Johannessen J, Andersen LB, Anderssen SA. Seasonal variation in objectively assessed physical activity among children and adolescents in Norway: a cross-sectional study. Int J Behav Nutr Phys Act. 2009 Jun 29;6:36-5868-6-36.
  • [36] Field A. Discovering statistics using SPSS. 3rd ed. London: Sage Publications; 2009.

Typ dokumentu

Bibliografia

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