Salmon J, Tremblay MS, Marshall SJ, Hume C. Health risks, correlates, and interventions to reduce sedentary behavior in young people. Am J Prev Med. 2011;41(2):197–206.
Article
PubMed
Google Scholar
Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, Chastin SFM, Altenburg TM, Chinapaw MJM, Participants STCP. Sedentary behavior research network (SBRN)-terminology consensus project process and outcome. Int J Behav Nutr Phys Act. 2017;14(1):75.
Article
PubMed
PubMed Central
Google Scholar
Wilmot EG, Edwardson CL, Achana FA, Davies MJ, Gorely T, Gray LJ, Khunti K, Yates T, Biddle SJ. Sedentary time in adults and the association with diabetes, cardiovascular disease and death: systematic review and meta-analysis. Diabetologia. 2012;55(11):2895–905.
Article
PubMed
CAS
Google Scholar
Biswas A, Oh PI, Faulkner GE, Bajaj RR, Silver MA, Mitchell MS, Alter DA. Sedentary time and its association with risk for disease incidence, mortality, and hospitalization in adults: a systematic review and meta-analysis. Ann Intern Med. 2015;162(2):123–32.
Article
PubMed
Google Scholar
Steele RM, van Sluijs EM, Cassidy A, Griffin SJ, Ekelund U. Targeting sedentary time or moderate- and vigorous-intensity activity: independent relations with adiposity in a population-based sample of 10-y-old British children. Am J Clin Nutr. 2009;90(5):1185–92.
Article
PubMed
CAS
Google Scholar
Clemes SA, Barber SE, Bingham DD, Ridgers ND, Fletcher E, Pearson N, Salmon J, Dunstan DW. Reducing children's classroom sitting time using sit-to-stand desks: findings from pilot studies in UK and Australian primary schools. J Public Health (Oxf). 2016;38(3):526–33.
Article
Google Scholar
Tremblay MS, LeBlanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, Goldfield G, Connor Gorber S. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. 2011;8:98.
Article
PubMed
PubMed Central
Google Scholar
Marshall SJ, Biddle SJ, Gorely T, Cameron N, Murdey I. Relationships between media use, body fatness and physical activity in children and youth: a meta-analysis. Int J Obes Relat Metab Disord. 2004;28(10):1238–46.
Article
PubMed
CAS
Google Scholar
Biddle SJ, Pearson N, Ross GM, Braithwaite R. Tracking of sedentary behaviours of young people: a systematic review. Prev Med. 2010;51(5):345–51.
Article
PubMed
Google Scholar
Whincup PH, Nightingale CM, Owen CG, Rudnicka AR, Gibb I, McKay CM, Donin AS, Sattar N, Alberti KG, Cook DG. Early emergence of ethnic differences in type 2 diabetes precursors in the UK: the child heart and health study in England (CHASE study). PLoS Med. 2010;7(4):e1000263.
Article
PubMed
PubMed Central
CAS
Google Scholar
van Grieken A, Ezendam NP, Paulis WD, van der Wouden JC, Raat H. Primary prevention of overweight in children and adolescents: a meta-analysis of the effectiveness of interventions aiming to decrease sedentary behaviour. Int J Behav Nutr Phys Act. 2012;9:61.
Article
PubMed
PubMed Central
Google Scholar
Abbott RA, Straker LM, Mathiassen SE. Patterning of children's sedentary time at and away from school. Obesity 2013;21(1):E131-E133.
Craig R, Mindell J, Hirani V. Health Survey for England 2008: Volume 1, Physical activity and fitness. The Health and Social Care Information Centre; 2009.
Pearson N, Haycraft E, P Johnston J, Atkin AJ. Sedentary behaviour across the primary-secondary school transition: a systematic review. Prev Med 2017;94(40-47.
Ginsburg H, Opper S. Piaget's theory of intellectual development third edition. Englewood Cliffs: Prentice-Hall, Inc; 1988.
Google Scholar
Blake JJ, Benden ME, Wendel ML. Using stand/sit workstations in classrooms: lessons learned from a pilot study in Texas. J Public Health Manag Pract. 2012;18(5):412–5.
Article
PubMed
Google Scholar
Hinckson EA, Aminian S, Ikeda E, Stewart T, Oliver M, Duncan S, Schofield G. Acceptability of standing workstations in elementary schools: a pilot study. Prev Med. 2013;56(1):82–5.
Article
PubMed
Google Scholar
Benden ME, Blake JJ, Wendel ML, Huber JC Jr. The impact of stand-biased desks in classrooms on calorie expenditure in children. Am J Public Health. 2011;101(8):1433–6.
Article
PubMed
PubMed Central
Google Scholar
Benden ME, Zhao H, Jeffrey CE, Wendel ML, Blake JJ. The evaluation of the impact of a stand-biased desk on energy expenditure and physical activity for elementary school students. Int J Environ Res Public Health. 2014;11(9):9361–75.
Article
PubMed
PubMed Central
Google Scholar
Lanningham-Foster L, Foster RC, McCrady SK, Manohar CU, Jensen TB, Mitre NG, Hill JO, Levine JA. Changing the school environment to increase physical activity in children. Obesity. 2008;16(8):1849–53.
Article
PubMed
PubMed Central
Google Scholar
Benden ME, Pickens A, Shipp E, Perry J, Schneider D. Evaluating a school based childhood obesity intervention for posture and comfort. Health. 2013;5(8A3):54–60.
Article
Google Scholar
Koskelo R, Vuorikari K, Hanninen O. Sitting and standing postures are corrected by adjustable furniture with lowered muscle tension in high-school students. Ergonomics. 2007;50(10):1643–56.
Article
PubMed
CAS
Google Scholar
Dornhecker M, Blake JJ, Benden ME, Zhao H, Wendel ML. The effect of stand-biased desks on academic engagement: an exploratory study. Int J Health Promot Educ. 2015;53(5):271–80.
Article
PubMed
PubMed Central
Google Scholar
Aminian S, Hinckson EA, Stewart T. Modifying the classroom environment to increase standing and reduce sitting. Building Research & Information. 2015;43(5):631–45.
Article
Google Scholar
Sherry AP, Pearson N, Clemes SA. The effects of standing desks within the school classroom: a systematic review. Prev Med Rep. 2016;3:338–47.
Article
PubMed
PubMed Central
Google Scholar
Hinckson E, Salmon J, Benden M, Clemes SA, Sudholz B, Barber SE, Aminian S, Ridgers ND. Standing classrooms: research and lessons learned from around the world. Sports Med. 2016;46(7):977–87.
Article
PubMed
Google Scholar
Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M. Developing and evaluating complex interventions: the new Medical Research Council guidance. Int J Nurs Stud. 2013;50(5):587–92.
Article
PubMed
Google Scholar
Wright J, Small N, Raynor P, Tuffnell D, Bhopal R, Cameron N, Fairley L, Lawlor DA, Parslow R, Petherick ES, et al. Cohort profile: the born in Bradford multi-ethnic family cohort study. Int J Epidemiol. 2013;42(4):978–91.
Article
PubMed
Google Scholar
National Statistics. National Child Measurement Programme, England, 2016/17 school year. NHS Digital: Health and Social Care Information Centre; 2017.
Google Scholar
Whincup PH, Gilg JA, Papacosta O, Seymour C, Miller GJ, Alberti KG, Cook DG. Early evidence of ethnic differences in cardiovascular risk: cross sectional comparison of British south Asian and white children. BMJ. 2002;324(7338):635.
Article
PubMed
PubMed Central
Google Scholar
Murray D. Design and analysis of group-randomized trials. Oxford: Oxford University Press; 1998.
Google Scholar
Julious SA. Sample size of 12 per group rule of thumb for a pilot study. Pharm Stat. 2005;4(4):287–91.
Article
Google Scholar
Sherry AP, Pearson N, Ridgers ND, Barber SE, Bingham DD, Nagy LC, Dunstan D, Clemes S: The effectiveness of sit-to-stand desks to reduce sitting time within a primary school classroom: an 8 month controlled trial. In the proceedings of the International Society of Behavioral Nutrition and Physical Activity (ISBNPA) Annual Meeting: 2017; Victoria, Canada.
Michie S, van Stralen MM, West R. The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci. 2011;6:42.
Article
PubMed
PubMed Central
Google Scholar
Michie S, Johnston M, Abraham C, Lawton R, Parker D, Walker A, Psychological Theory G. Making psychological theory useful for implementing evidence based practice: a consensus approach. Qual Saf Health Care. 2005;14(1):26–33.
Article
PubMed
PubMed Central
CAS
Google Scholar
Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013;46(1):81–95.
Article
PubMed
Google Scholar
Edwardson C, Winkler E, Bodicoat DH, Yates T, Davies M, Dunstan D, Healy GN. Considerations when using the activPAL monitor in field-based research with adult populations. J Sport Health Sci. 2017;6:162–78.
Article
Google Scholar
Kozey-Keadle S, Libertine A, Lyden K, Staudenmayer J, Freedson PS. Validation of wearable monitors for assessing sedentary behavior. Med Sci Sports Exerc. 2011;43(8):1561–7.
Article
PubMed
Google Scholar
Atkin AJ, Gorely T, Clemes SA, Yates T, Edwardson C, Brage S, Salmon J, Marshall SJ, Biddle SJ. Methods of measurement in epidemiology: sedentary behaviour. Int J Epidemiol. 2012;41(5):1460–71.
Article
PubMed
PubMed Central
Google Scholar
Aminian S, Hinckson EA. Examining the validity of the ActivPAL monitor in measuring posture and ambulatory movement in children. Int J Behav Nutr Phys Act. 2012;9:119.
Article
PubMed
PubMed Central
Google Scholar
Davies G, Reilly JJ, McGowan AJ, Dall PM, Granat MH, Validity PJY. Practical utility, and reliability of the activPAL in preschool children. Med Sci Sports Exerc. 2012;44(4):761–8.
Article
PubMed
Google Scholar
Winkler EA, Bodicoat DH, Healy GN, Bakrania K, Yates T, Owen N, Dunstan DW, Edwardson CL. Identifying adults' valid waking wear time by automated estimation in activPAL data collected with a 24 h wear protocol. Physiol Meas. 2016;37(10):1653–68.
Article
PubMed
Google Scholar
Dollman J, Okely AD, Hardy L, Timperio A, Salmon J, Hills APA. hitchhiker's guide to assessing young people's physical activity: deciding what method to use. J Sci Med Sport. 2009;12(5):518–25.
Article
PubMed
Google Scholar
Trost SG, Ward DS, Moorehead SM, Watson PD, Riner W, Burke JR. Validity of the computer science and applications (CSA) activity monitor in children. Med Sci Sports Exerc. 1998;30(4):629–33.
Article
PubMed
CAS
Google Scholar
Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008;26(14):1557–65.
Article
PubMed
Google Scholar
Trost SG, Loprinzi PD, Moore R, Pfeiffer KA. Comparison of accelerometer cut points for predicting activity intensity in youth. Med Sci Sports Exerc. 2011;43(7):1360–8.
Article
PubMed
Google Scholar
Cole TJ, Freeman JV, Preece MA. Body mass index reference curves for the UK, 1990. Arch Dis Child. 1995;73(1):25–9.
Article
PubMed
PubMed Central
CAS
Google Scholar
O'Brien E, Asmar R, Beilin L, Imai Y, Mallion JM, Mancia G, Mengden T, Myers M, Padfield P, Palatini P, et al. European Society of Hypertension recommendations for conventional, ambulatory and home blood pressure measurement. J Hypertens. 2003;21(5):821–48.
Article
PubMed
CAS
Google Scholar
Corsi PM. Human memory and the medial temporal region of the brain. Diss Abstr Int. 1973;34(2-B):891.
MacLeod CM. Half a century of research on the Stroop effect: an integrative review. Psychol Bull. 1991;109(2):163–203.
Article
PubMed
CAS
Google Scholar
Bakan P. Extraversion-introversion and improvement in an auditory vigilance task. Br J Psychol. 1959;50:325–32.
Article
PubMed
CAS
Google Scholar
Farrell Pagulayan K, Busch RM, Medina KL, Bartok JA, Krikorian R. Developmental normative data for the Corsi block-tapping task. J Clin Exp Neuropsychol. 2006;28(6):1043–52.
Article
PubMed
Google Scholar
Orsini A. Corsi's block-tapping test: standardization and concurrent validity with WISC-R for children aged 11 to 16. Percept Mot Skills. 1994;79(3 Pt 2):1547–54.
Article
PubMed
CAS
Google Scholar
Cooper SB, Bandelow S, Nute ML, Dring KJ, Stannard RL, Morris JG, Nevill ME. Sprint-based exercise and cognitive function in adolescents. Prev Med Rep. 2016;4:155–61.
Article
PubMed
PubMed Central
Google Scholar
Gualtieri CT, Johnson LG. Reliability and validity of a computerized neurocognitive test battery, CNS vital signs. Arch Clin Neuropsychol. 2006;21(7):623–43.
Article
PubMed
Google Scholar
Syvaoja HJ, Tammelin TH, Ahonen T, Kankaanpaa A, Kantomaa MT. The associations of objectively measured physical activity and sedentary time with cognitive functions in school-aged children. PLoS One. 2014;9(7):e103559.
Article
PubMed
PubMed Central
CAS
Google Scholar
Goodman R. The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry. 1997;38(5):581–6.
Article
PubMed
CAS
Google Scholar
Skinner EA, Marchand G, Furrer C, Kindermann T. Engagement and disaffection in the classroom: part of a larger motivational dynamic. J Educ Psychol. 2008;100(4):765–81.
Article
Google Scholar
Skinner EA, Kindermann T, Furrer C. A motivational perspective on engagement and disaffection. Educ Psychol Meas. 2009;69(3):493–525.
Article
Google Scholar
Varni JW, Seid M, Kurtin PS. PedsQL 4.0: reliability and validity of the pediatric quality of life inventory version 4.0 generic core scales in healthy and patient populations. Med Care. 2001;39(8):800–12.
Article
PubMed
CAS
Google Scholar
Wille N, Badia X, Bonsel G, Burstrom K, Cavrini G, Devlin N, Egmar AC, Greiner W, Gusi N, Herdman M, et al. Development of the EQ-5D-Y: a child-friendly version of the EQ-5D. Qual Life Res. 2010;19(6):875–86.
Article
PubMed
PubMed Central
Google Scholar
Ravens-Sieberer U, Wille N, Badia X, Bonsel G, Burstrom K, Cavrini G, Devlin N, Egmar AC, Gusi N, Herdman M, et al. Feasibility, reliability, and validity of the EQ-5D-Y: results from a multinational study. Qual Life Res. 2010;19(6):887–97.
Article
PubMed
PubMed Central
Google Scholar
Heckman JJ. The economics, technology, and neuroscience of human capability formation. Proc Natl Acad Sci U S A. 2007;104(33):13250–5.
Article
PubMed
PubMed Central
CAS
Google Scholar
Campbell MK, Piaggio G, Elbourne DR, Altman DG, Group C. Consort 2010 statement: extension to cluster randomised trials. BMJ. 2012;345:e5661.
Article
PubMed
Google Scholar
Lancaster GA, Dodd S, Williamson PR. Design and analysis of pilot studies: recommendations for good practice. J Eval Clin Pract. 2004;10(2):307–12.
Article
PubMed
Google Scholar
Arain M, Campbell MJ, Cooper CL, Lancaster GA. What is a pilot or feasibility study? A review of current practice and editorial policy. BMC Med Res Methodol. 2010;10:67.
Article
PubMed
PubMed Central
Google Scholar
Bland JM, Kerry SM. Statistics notes. Trials randomised in clusters. BMJ. 1997;315(7108):600.
Article
PubMed
PubMed Central
CAS
Google Scholar
Kerry SM, Bland JM. Analysis of a trial randomised in clusters. BMJ. 1998;316(7124):54.
Article
PubMed
PubMed Central
CAS
Google Scholar
Ritchie J, Spencer L. Qualitative data analysis for applied policy research. In: Bryman, Burgess, editors. Analysing Qualitative Data. London: Routledge; 1994. p. 173–94.
Chapter
Google Scholar
Gale NK, Heath G, Cameron E, Rashid S, Redwood S. Using the framework method for the analysis of qualitative data in multi-disciplinary health research. BMC Med Res Methodol. 2013;13:117.
Article
PubMed
PubMed Central
Google Scholar
May C et al. Normalization Process Theory On-line Users’ Manual and Toolkit. Available from http://www.normalizationprocess.org/. Accessed 11 Mar 2015.
Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics. 2011;128(Suppl 5):S213–56.
Article
PubMed Central
Google Scholar
Saunders TJ, Chaput JP, Tremblay MS. Sedentary behaviour as an emerging risk factor for cardiometabolic diseases in children and youth. Can J Diabetes. 2014;38(1):53–61.
Article
PubMed
Google Scholar
Hu FB, Li TY, Colditz GA, Willett WC, Manson JE. Television watching and other sedentary behaviors in relation to risk of obesity and type 2 diabetes mellitus in women. JAMA. 2003;289(14):1785–91.
Article
PubMed
Google Scholar
Annual Report of the Chief Medical Officer 2012. Our children deserve better: prevention pays. London: Crown Copyright; 2013.
Google Scholar
Department of Health. Childhood obesity: a plan for action. London: Crown Copyright; 2016.
Google Scholar
Salmon J, Arundell L, Hume C, Brown H, Hesketh K, Dunstan DW, Daly RM, Pearson N, Cerin E, Moodie M, et al. A cluster-randomized controlled trial to reduce sedentary behavior and promote physical activity and health of 8-9 year olds: the transform-us! study. BMC Public Health. 2011;11:759.
Article
PubMed
PubMed Central
Google Scholar