Predictors of non-response in a UK-wide cohort study of children's accelerometer-determined physical activity using postal methods

BMJ Open

Volumn 3, Issue 3, 2013, Pages

  Rich, Carly ^a   Cortina Borja, Mario ^a   Dezateux, Carol ^a   Geraci, Marco ^a   Sera, Francesco ^a   Calderwood, Lisa ^b   Joshi, Heather ^b   Griffiths, Lucy J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY OF LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETER; ARTICLE; BODY MASS; CHILD; CLINICAL PROTOCOL; COHORT ANALYSIS; DAILY LIFE ACTIVITY; ENVIRONMENTAL FACTOR; EXERCISE; FEMALE; HUMAN; INFANT; INTERVIEW; IRELAND; MAJOR CLINICAL STUDY; MALE; OBESITY; PHYSICAL ACTIVITY; PREDICTION; PRESCHOOL CHILD; PROSPECTIVE STUDY; RELIABILITY; SCHOOL CHILD; SMOKING; SOCIAL BEHAVIOR; UNITED KINGDOM;

EID: 84876108837     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2012-002290     Document Type: Article

References (44)

1. Riddoch CJ, Mattocks C, Deere K, et al. Objectivemeasurement of levels and patterns of physical activity. Arch Dis Child2007;92:963-9. (Pubitemid 350043967)
2. Taylor RW, Murdoch L, Carter P, et al. Longitudinal studyof physical activity and inactivity in preschoolers: the FLAME study. Med SciSports Exerc 2009;41:96-102.
3. Troiano RP, Berrigan D, Dodd KW, et al. Physical activityin the United States measured by accelerometer. Med Sci Sports Exerc2008;40:181-8.
4. Riddoch CJ, Bo AL, Wedderkopp N, et al. Physical activitylevels and patterns of 9- and 15-yr-old European children. Med Sci Sports Exerc2004;36:86-92. (Pubitemid 38090559)
5. Owen CG, Nightingale CM, Rudnicka AR, et al. Ethnic andgender differences in physical activity levels among 9-10-year-old children ofwhite European, South Asian and African-Caribbean origin: the Child HeartHealth Study in England (CHASE Study). Int J Epidemiol 2009;38:1082-93.
6. Pfeiffer KA, Dowda M, McIver KL, et al. Factors relatedto objectively measured physical activity in preschool children. Pediatr ExercSci 2009;21:196-208.
7. Timperio A, Crawford D, TelfordA, et al. Perceptions about the local neighborhood and walking and cyclingamong children. Prev Med 2004;38:39-47. (Pubitemid 37524051)
8. Vale S, Silva P, Santos R, et al. Compliance withphysical activity guidelines in preschool children. J Sports Sci2010;28:603-8.
9. Eiberg S, Hasselstrom H, Gronfeldt V, et al. Maximumoxygen uptake and objectively measured physical activity in Danish children6-7 years of age: the Copenhagen school child intervention study. Br J SportsMed 2005;39:725-30. (Pubitemid 41406585)
10. Purslow LR, Hill C, Saxton J, et al. Differences inphysical activity and sedentary time in relation to weight in 8-9 year oldchildren. Int J Behav Nutr Phys Act 2008;5:67.
11. Brockman R, Jago R, Fox KR. The contribution of activeplay to the physical activity of primary school children. Prev Med2010;51:144-7.
12. Stevens J, Suchindran C, Ring K, et al. Physicalactivity as a predictor of body composition in American Indian children. ObesRes 2004;12:1974-80.
13. Gidlow CJ, Cochrane T, Davey R, et al. In-school andout-of-school physical activity in primary and secondary school children. JSports Sci 2008;26:1411-19.
14. Trost SG, Pate RR, Freedson PS, et al. Using objectivephysical activity measures with youth: how many days of monitoring are needed?Med Sci Sports Exerc 2000;32:426-31. (Pubitemid 30108124)
15. Thompson AM, Campagna PD, Durant M, et al. Areoverweight students in Grades 3, 7, and 11 less physically active than theirhealthy weight counterparts? Int J Pediatr Obes 2009;4:28-35.
16. Page AS, Cooper AR, Griew P, et al. Independent mobilityin relation to weekday and weekend physical activity in children aged 10-11years: the PEACH Project. Int J Behav Nutr Phys Act 2009;6:2.
17. Van Sluijs EM, Skidmore PM, Mwanza K, et al. Physicalactivity and dietary behaviour in a population-based sample of British 10-yearold children: the SPEEDY study (Sport, Physical activity and Eating behaviour:environmental Determinants in Young people). BMC Public Health 2008;8:388.
18. Janz KF, Burns TL, Torner JC, et al. Physical activityand bone measures in young children: the Iowabone development study. Pediatrics 2001;107:1387-93. (Pubitemid 32525221)
19. Van Coevering P, Harnack L, Schmitz K, et al.Feasibility of using accelerometers to measure physical activity in youngadolescents. Med Sci Sports Exerc 2005;37:867-71. (Pubitemid 40628294)
20. Mattocks C, Ness A, Leary S, et al. Use ofaccelerometers in a large field-based study of children: protocols, designissues, and effects on precision. J Phys Act Health 2008;5(Suppl 1):S98-111.
21. Sirard JR, Slater ME. Compliance with wearing physicalactivity accelerometers in high school students. J Phys Act Health 2009;6(Suppl 1):S148-55.
22. Sirard JR, Kubik MY, Fulkerson JA, et al. Objectivelymeasured physical activity in urban alternative high school students. Med SciSports Exerc 2008;40:2088-95.
23. Smith K, Joshi H. The Millennium Cohort Study. PopulTrends 2002;107:30-4.
24. Plewis I. Millennium Cohort Study: technical report onsampling. Chapter 11 (Weighting to adjust for non-response bias); ed. IanPlewis. 4th edn. London: Institute of Education, 2007:1-78.
25. Fairweather SC, Reilly J, Stanley G, et al. Using theComputer Science and Applications (CSA) activity monitor in preschool children.Pediatr Exerc Sci 2010;22:408-20.
26. Janz KF. Validation of the CSA accelerometer forassessing childrenïs physical activity. Med Sci Sports Exerc 1994;26:369-75. (Pubitemid 24088803)
27. Trost SG, Way R, Okely AD. Predictive validity of threeActiGraph energy expenditure equations for children. Med Sci Sports Exerc2006;38:380-7. (Pubitemid 43271593)
28. Plasqui G, Westerterp KR. Physical activity assessmentwith accelerometers: an evaluation against doubly labeled water. Obesity(Silver Spring) 2007;15:2371-9. (Pubitemid 350034029)
29. Baquet G, Stratton G, Van PE, et al. Improving physicalactivity assessment in prepubertal children with high-frequency accelerometrymonitoring: a methodological issue. Prev Med 2007;44:143-7. (Pubitemid 46188651)
30. Geraci M. pawacc: Physical activity with accelerometers.R package version 1.00. 2012. http://r-forge.r-project.org/projects/pawacc/(accessed July 2012).
31. R Core Development Team. R: a language and environmentfor statistical computing website [Internet]. Vienna(Austria): R Foundation forStatistical Computing; [cited July 2012]. http://www. R-project.org/(accessedJuly 2012).
32. Rich C, Geraci M, Griffiths L, et al. Quality controlmethods in accelerometer data processing: identifying extreme counts. 2012.(under review)
33. Rich C, Geraci M, Griffiths L, et al. Quality controlmethods in accelerometer data processing: defining miniumum wear time. 2012.(under review)
34. Geraci M, Rich C, Sera F, et al. Technical report onaccelerometry data processing in the Millennium Cohort Study. London: Instituteof Child Health, University College London, 2012. http://discovery.ucl.ac.uk/1361699/(accessed July 2012).
35. Plewis I. Non-Response in a Birth Cohort Study: the caseof the Millennium Cohort Study. Int J Soc Res Methodol 2007;10:325-34.
36. Ketende SC. Millennium Cohort Study: technical report onresponse. 3rd edn. London: Institute of Education, University of London, 2010.
37. Noble M, Smith G, Penhale B. Measuring multipledeprivation at the small area level: the inidices of deprivation. London:Department of the Environment, Transport and the Regions, 2000.
38. Allison PD. Multiple regression: a primer. ThousandOaks, CA: Pine Forge Press, 1999.
39. Van Sluijs EM, Fearne VA, Mattocks C, et al. Thecontribution of active travel to childrenïs physical activity levels:cross-sectional results from the ALSPAC study. Prev Med 2009;48:519-24.
40. Wilkinson JD, Arheart KL, Lee DJ. Accuracy of parentalreporting of secondhand smoke exposure: the National Health and NutritionExamination Survey III. Nicotine Tob Res 2006;8:591-7. (Pubitemid 44263592)
41. Tate AR, Dezateux C, Cole TJ, et al. Factors affecting amotherïs recall of her babyïs birth weight. Int J Epidemiol 2005;34:688-95. (Pubitemid 40852589)
42. Walton S, Bedford H, Dezateux C. Use of personal childhealth records in the UK: findings from the millennium cohort study. BMJ2006;332:269-70. (Pubitemid 43235334)
43. Wen LM, Van der Ploeg HP, Kite J, et al. A validationstudy of assessing physical activity and sedentary behavior in children aged 3to 5 years. Pediatr Exerc Sci 2010;22:408-20.
44. Little RJA. Missing-data adjustments in large surveys. JBus Econ Stat 1988;6:287-96.