The effect of the UP4FUN pilot intervention on objectively measured sedentary time and physical activity in 10-12 year old children in Belgium: The ENERGY-project

BMC Public Health

Volumn 12, Issue 1, 2012, Pages

  Verloigne, Mate ^a   Bere, Elling ^b   Van Lippevelde, Wendy ^a   Maes, Lea ^a   Lien, Nanna ^c   Vik, Froydis N ^b   Brug, Johannes ^d   Cardon, Greet ^a   De Bourdeaudhuij, Ilse ^a  

^a GHENT UNIVERSITY   (Belgium)

^b UNIVERSITY OF AGDER   (Norway)

^c UNIVERSITY OF OSLO   (Norway)

^d VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Accelerometer; Children; Intervention; Physical activity; Randomized controlled trial; Sedentary behaviour

Indexed keywords

ACCELEROMETRY; ARTICLE; BELGIUM; CHILD; ENERGY METABOLISM; EXERCISE; FEMALE; HUMAN; MALE; METHODOLOGY; PHYSIOLOGY; PILOT STUDY; SEDENTARY LIFESTYLE;

ACCELEROMETRY; BELGIUM; CHILD; ENERGY METABOLISM; EXERCISE; FEMALE; HUMANS; MALE; PILOT PROJECTS; RESEARCH DESIGN; SEDENTARY LIFESTYLE;

EID: 84866272325     PISSN: None     EISSN: 14712458     Source Type: Journal    
DOI: 10.1186/1471-2458-12-805     Document Type: Article

References (28)

1. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Tremblay MS, Leblanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, Goldfield G, Gorber SC, Int J Behav Nutr Phys Act 2011 8 98 10.1186/1479-5868-8-98 21936895
2. Relationship between young peoples' sedentary behaviour and biomedical health indicators: a systematic review of prospective studies. Chinapaw MJM, Proper KI, Brug J, Van Mechelen W, Singh AS, Obes Rev 2011 12 621 e632 10.1111/j.1467-789X.2011.00865.x 21438990
3. Sedentary behaviour interventions in young people: a meta-analysis. Biddle SJH, OConnell S, Braithwaite RE, Br J Sports Med 2011 45 937 10.1136/bjsports-2011-090205 21807671
4. Intervening to reduce sedentary behaviors and childhood obesity among school-age youth: a systematic review of randomized trials. Leung MM, Agaronov A, Grytsenko K, Yeh M, J Obes 2012 in press
5. Reducing childrens television viewing to prevent obesity: a randomized controlled trial. Robinson TN, J Am Med Assoc 1999 282 1561 1567 10.1001/jama.282.16.1561 (Pubitemid 29504370)
6. Effects of the SMART classroom curriculum to reduce child and family screen time. Robinson TN, Borzekowski DLG, J Comm 2006 56 147 180
7. The Fun Families study: intervention to reduce childrens TV viewing. Escobar-Chaves SL, Markham CM, Addy RC, Greisinger A, Murray NG, Brehm B, Obes 2010 18 99 S101 10.1038/oby.2009.438
8. Is television viewing a suitable marker of sedentary behavior in young people? Biddle SJH, Gorely T, Marshall SJ, Ann Behav Med 2009 38 147 153 10.1007/s12160-009-9136-1 19809858
9. Effect of electronic time monitors on childrens television watching: Pilot trial of a home-based intervention. Ni Mhurchu C, Roberts V, Maddison R, Dorey E, Jiang Y, Jull A, Tin Tin S, Prev Med 2009 49 413 417 10.1016/j.ypmed.2009.09.003 19744507
10. Evidence-based development of school-based and family-involved prevention of overweight across Europe: the ENERGY-projects design and conceptual framework. Brug J, te Velde SJ, Chinapaw MJM, Bere E, De Bourdeaudhuij I, Moore H, Maes L, Jensen J, Manios Y, Lien N, Klepp KI, Lobstein T, Martens M, Salmon J, Singh AS, BMC Public Health 2010 10 276 10.1186/1471-2458-10-276 20500859
11. Systematic review of school-based interventions that focus on changing dietary intake and physical activity levels to prevent childhood obesity: an update to the obesity guidance produced by the National Institute for Health and Clinical Excellence. Brown T, Summerbell C, Obes Rev 2009 10 110 141 10.1111/j.1467-789X.2008.00515.x 18673306
12. Does parental involvement make a difference in school-based nutrition and physical activity interventions? A systematic review of randomized controlled trials. Van Lippevelde W, Verloigne M, De Bourdeaudhuij I, Brug J, Bjelland M, Lien N, Maes L, Int J Public Health in press
13. Should we be concerned about children spending extended periods of time in sedentary pursuits even among the highly active? Salmon J, Dunstan D, Owen N, Int J Pediatr Obes 2008 3 66 68 10.1080/17477160802169672 18465432 (Pubitemid 351935289)
14. Theory, evidence and Intervention Mapping to improve behavior nutrition and physical activity interventions. Brug J, Oenema A, Ferreira I, Int J Behav Nutr Phys Act 2005 2 2 10.1186/1479-5868-2-2 15807898 (Pubitemid 40617795)
15. Environmental influences on energy balance-related behaviors: a dual-process view. Kremers SPJ, de Bruijn GJ, Visscher TLS, van Mechelen W, de Vries NK, Brug J, Int J Behav Nutr Phys Act 2006 3 9 10.1186/1479-5868-3-9 16700907 (Pubitemid 43959944)
16. From theory to intervention: mapping theoretically derived behavioural determinants to behaviour change techniques. Michie S, Johnston M, Francis J, Hardeman W, Eccles M, Appl Psychol 2008 57 660 680 10.1111/j.1464-0597.2008. 00341.x
17. Objective measurement of physical activity and sedentary behaviour: review with new data. Reilly RR, Penpraze V, Hislop J, Davies G, Grant S, Paton JY, Arch Dis Child 2008 93 614 619 10.1136/adc.2007.133272 18305072 (Pubitemid 352030087)
18. Validation and comparison of ActiGraph activity monitors. Sasaki JE, John D, Freedson P, J Sci Med Sport 2011 14 411 416 10.1016/j.jsams.2011.04.003 21616714
19. The Actilife-5 User Manual, Prepared by ActiGraph R&D and Software Departments http://support.theactigraph.com/downloads/
20. MeterPlus version 4.2 software from Santech, Inc http://www. meterplussoftware.com
21. Use of accelerometers in a large field-based study of children: protocols, design issues, and effects on precision. Mattocks C, Ness A, Leary S, Tilling K, Blair SN, Shield J, Deere K, Saunders J, Kirkby J, Smith GD, Wells J, Wareham N, Reilly J, Riddoch C, J Phys Act Health 2008 5 98 S111 18364528
22. Defining accelerometer thresholds for activity intensities in adolescent girls. Treuth MS, Schmitz K, Catellier DJ, McMurray RG, Murray DM, Almeida MJ, Going S, Norman JE, Pate R, Med Sci Sports Exerc 2004 36 1259 1266 15235335 (Pubitemid 38879005)
23. Cohen J, Statistical power analysis for the behavioural sciences Erlbaum, Hillsdale: NJ 2 1988
24. Assessment of intensity, prevalence and duration of everyday activities in Swiss school children: a cross-sectional analysis of accelerometer and diary data. Bringolf-Isler B, Grize L, Mäder U, Ruch N, Sennhauser FH, Braun-Fahrländer C, Int J Behav Nutr Phys Act 2009 6 50 10.1186/1479-5868-6-50 19656362
25. The impact of rainfall and school break time policies on physical activity in 9-10 year old British children: a repeated measures study. Harrison F, Jones AP, Bentham G, van Sluijs EMF, Cassidy A, Griffin S, Int J Behav Nutr Phys Act 2011 8 47 10.1186/1479-5868-8-47 21609441
26. Prevention in the first place: schools a setting for action on physical inactivity. Naylor P-J, McKay HA, Br J Sports Med 2009 43 10 13 18971250
27. Effectiveness of interventions aimed at reducing screen time in children: a systematic review and meta-analysis of randomized controlled trials. Wahi G, Parkin PC, Beyene J, Uleryk EM, Birken CS, Arch Pediatr Adolesc Med 2011 165 979 986 10.1001/archpediatrics.2011.122 21727260
28. Stability and change in screen-based sedentary behaviours and associated factors among Norwegian children in the transition between childhood and adolescence. Gebremariam MK, Totland TH, Andersen LF, Bergh IH, Bjelland M, Grydeland M, Ommundsen Y, Lien N, BMC Public Health 2012 12 104 10.1186/1471-2458-12-104 22309715