Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.


Physical activity and inactivity trajectories associated with body composition in pre-schoolers




Early childhood is characterised by rapid development and is a critical period for the establishment of activity behaviours. We aim to examine how physical activity (PA) and sedentary behaviour (SB) track during the first 5 years of life, and to investigate associations between trajectories and body composition at 5 years of age.


A total of 438 participants (50% male) wore an Actical accelerometer for 5 days at at least two of 1, 2, 3.5 and 5 years of age. Spearman correlation coefficients examined PA tracking from age 1 to 5 and trajectories of PA and SB were estimated using discrete mixture modelling. Regression models tested associations between both PA and SB trajectories and body composition measures.


Tracking coefficients for PA ranged from r = 0.31–0.51 across the ages, with similar tracking observed for sedentary behaviour (r = 0.21–0.39). Four distinct trajectory patterns were identified separately for PA and SB: consistently low, consistently high, increasing and decreasing. BMI and waist circumference were not significantly associated with PA trajectories, but those in the consistently high activity group had significantly lower % body fat (95% CI) at age 5 (14.3%; 13.5, 15.2) than those in the consistently low (16.8%; 15.6, 18.2) or increasing (15.7%; 14.7, 16.7) groups (P = 0.017). Sedentary behaviour trajectories were not associated with any of the anthropometric measures at age 5 (P > 0.05).


Physical activity and sedentary behaviour tracking is broadly similar from infancy to early childhood. Children with consistently higher levels of physical activity have reduced body fat at 5 years of age, although differences are relatively small.

Access options

Rent or Buy article

Get time limited or full article access on ReadCube.


All prices are NET prices.


  1. 1.

    World Health Organization. Fact Sheet: Obesity and overweight. In: WHO Media Centre, 2016.

  2. 2.

    Janssen I, LeBlanc AG. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth. Int J Behav Nutr Phys Act. 2010;7:40.

    Article  Google Scholar 

  3. 3.

    Timmons BW, Naylor P-J, Pfeiffer KA. Physical activity for preschool children—how much and how? Appl Physiol Nutr Metab. 2007;32(S2E):S122–S134.

    Article  Google Scholar 

  4. 4.

    Campbell KJ, Lioret S, McNaughton SA, Crawford DA, Salmon J, Ball K, et al. A parent-focused intervention to reduce infant obesity risk behaviors: a randomized trial. Pediatrics. 2013;131:652–60.

    Article  Google Scholar 

  5. 5.

    Hnatiuk J, Ridgers ND, Salmon J, Campbell K, McCallum Z, Hesketh K. Physical activity levels and patterns of 19-month-old children. Med Sci Sports Exerc. 2012;44:1715–20.

    Article  Google Scholar 

  6. 6.

    Wijtzes AI, Kooijman MN, Kiefte-de Jong JC, de Vries SI, Henrichs J, Jansen W, et al. Correlates of physical activity in 2-year-old toddlers: the generation R study. J Pediatr. 2013;163:791–9.

    Article  Google Scholar 

  7. 7.

    Hinkley T, Crawford D, Salmon J, Okely AD, Hesketh K. Preschool children and physical activity: a review of correlates. Am J Prev Med. 2008;34:435–41.

    Article  Google Scholar 

  8. 8.

    Oliver M, Schofield GM, Kolt GS. Physical activity in preschoolers. Sports Med. 2007;37:1045–70.

    Article  Google Scholar 

  9. 9.

    Pate RR, Pfeiffer KA, Trost SG, Ziegler P, Dowda M. Physical activity among children attending preschools. Pediatrics. 2004;114:1258–63.

    Article  Google Scholar 

  10. 10.

    Timmons BW, LeBlanc AG, Carson V, Connor Gorber S, Dillman C, Janssen I, et al. Systematic review of physical activity and health in the early years (aged 0–4 years). Appl Physiol Nutr Metab. 2012;37:773–92.

    Article  Google Scholar 

  11. 11.

    Tucker P. The physical activity levels of preschool-aged children:a systematic review. Early Child Res Q. 2008;23:547–58.

    Article  Google Scholar 

  12. 12.

    Masse L, Fuemmeler B, Anderson C, Matthews C, Trost S, Catellier D, et al. Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. Med Sci Sports Exerc. 2005;37(11 Suppl):S544–S554.

    Article  Google Scholar 

  13. 13.

    Malina RM. Tracking of physical activity and physical fitness across the lifespan. Res Q Exerc Sport. 1996;67(sup3):S-48–S-57.

    CAS  Article  Google Scholar 

  14. 14.

    Gabel L, Obeid J, Nguyen T, Proudfoot NA, Timmons BW. Short-term muscle power and speed in preschoolers exhibit stronger tracking than physical activity. Appl Physiol Nutr Metab. 2011;36:939–45.

    Article  Google Scholar 

  15. 15.

    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.

    Article  Google Scholar 

  16. 16.

    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.

    Article  Google Scholar 

  17. 17.

    Jackson DM, Reilly JJ, Kelly LA, Montgomery C, Grant S, Paton JY. Objectively measured physical activity in a representative sample of 3‐to 4‐year‐old children. Obesity. 2003;11:420–5.

    Article  Google Scholar 

  18. 18.

    Jones RA, Hinkley T, Okely AD, Salmon J. Tracking physical activity and sedentary behavior in childhood: a systematic review. Am J Prev Med. 2013;44:651–8.

    Article  Google Scholar 

  19. 19.

    Jiménez-Pavón D, Kelly J, Reilly JJ. Associations between objectively measured habitual physical activity and adiposity in children and adolescents: systematic review. Int J Pediatr Obes. 2010;5:3–18.

    Article  Google Scholar 

  20. 20.

    Belsky J. Experiencing the lifespan, 4th ed New York: Worth Publishers; 2009.

  21. 21.

    Moir C, Meredith-Jones K, Taylor BJ, Gray A, Heath A-L, Dale K, et al. Early intervention to encourage physical activity in infants and their families: an RCT. Med Sci Sports Exerc. 2016;48:2446–53.

    Article  Google Scholar 

  22. 22.

    Taylor RW, Heath A-LM, Galland BC, Cameron SL, Lawrence JA, Gray AR, et al. Three-year follow-up of a randomised controlled trial to reduce excessive weight gain in the first two years of life: protocol for the POI follow-up study. BMC Public Health. 2016;16:771. In press

    Article  Google Scholar 

  23. 23.

    Taylor BJ, Heath A-L, Galland BC, Gray AR, Lawrence JA, Sayers RM, et al. Prevention of overweight in infancy ( study: a randomised controlled trial of sleep, food and activity interventions for preventing overweight from birth. BMC Public Health. 2011;11:942.

    Article  Google Scholar 

  24. 24.

    Taylor BJ, Gray AR, Galland BC, Heath A-L, Lawrence JA, Sayers RM, et al. Targeting sleep, food, and activity in infants for obesity prevention: an RCT. Pediatrics. 2017;139:e20162037.

    Article  Google Scholar 

  25. 25.

    Fangupo LJ, Heath A-L, Williams SM, Somerville MR, Lawrence JA, Gray AR, et al. Impact of an early-life intervention on the nutrition behaviors of 2-year old children: a randomized controlled trial. Am J Clin Nutr. 2015;102:704–12.

    CAS  Article  Google Scholar 

  26. 26.

    Cameron SL, Heath A-LM, Gray AR, Churcher B, Davies RS, Newlands A, et al. Lactation consultant support from late pregnancy with an educational intervention at 4 months of age delays the introduction of complementary foods in a randomized controlled trial. J Nutr. 2015;145:1481–90.

    CAS  Article  Google Scholar 

  27. 27.

    de Onis M, Onyango AW, Van den Broeck J, Chumlea WC, Martorell R. Measurement and standardization protocols for anthropometry used in the construction of a new international growth reference. Food Nutr Bull. 2004;25(1 Suppl):S27–36.

    Article  Google Scholar 

  28. 28.

    Onis M. Relationship between physical growth and motor development in the WHO child growth standards. Acta Paediatr. 2006;95(S450):96–101.

    Google Scholar 

  29. 29.

    World Health Organization. WHO child growth standards based on length/height, weight and age. Acta Paediatr Suppl. 2006;450:76–85.

    Google Scholar 

  30. 30.

    Squires, J., & Bricker, D. (2009). Ages & stages questionnaires, (ASQ-3). A parent-completed child monitoring system. 3rd ed. baltimore: MD: Brookes.

  31. 31.

    Goulding A, Taylor RW, Jones IE, Lewis-Barned NJ, Williams SM. Body composition of 4- and 5-year-old New Zealand girls: a DXA study of initial adiposity and subsequent 4-year fat change. Int J Obes & Relat Metab Disord. 2003;27:410–5.

    CAS  Article  Google Scholar 

  32. 32.

    Pfeiffer KA, McIver KL, Dowda M, Almeida MJ, Pate RR. Validation and calibration of the Actical accelerometer in preschool children. Med Sci Sports Exerc. 2006;38:152–7.

    Article  Google Scholar 

  33. 33.

    Rich C, Geraci M, Griffiths L, Sera F, Dezateux C, Cortina-Borja M. Quality control methods in accelerometer data processing: defining minimum wear time. PLoS ONE. 2013;8:e67206.

    CAS  Article  Google Scholar 

  34. 34.

    Meredith-Jones K, Williams SM, Galland BC, Kennedy G, Taylor RW. 24 h accelerometry: Impact of sleep-screening methods on estimates of physical activity and sedentary time. J Sport Sci. 2016;34:679–85.

    Article  Google Scholar 

  35. 35.

    Esliger DW, Copeland JL, Barnes JD, Tremblay MS. Standardizing and optimizing the use of accelerometer data for free-living physical activity monitoring. J Phys Act Health. 2005;2:366–83.

    Article  Google Scholar 

  36. 36.

    Adolph AL, Puyau MR, Vohra FA, Nicklas TA, Zakeri IF, Butte NF. Validation of uniaxial and triaxial accelerometers for the assessment of physical activity in children. J Phys Act Health. 2012;9:944–53.

    Article  Google Scholar 

  37. 37.

    Janssen X, Cliff D, Reilly J, Hinkley T, Jones R, Batterham M, et al. Evaluation of Actical equations and thresholds to predict physical activity intensity in young children. J Sports Sci. 2015;33:498–506.

    Article  Google Scholar 

  38. 38.

    Jones BL, Nagin DS. A note on a stata plugin for estimating group-based trajectory models. Sociol Methods Res. 2013;42:608–13.

    Article  Google Scholar 

  39. 39.

    Edwards NM, Khoury PR, Kalkwarf HJ, Woo JG, Claytor RP, Daniels SR. Tracking of accelerometer-measured physical activity in early childhood. Pediatr Exerc Sci. 2013;25:487–501.

    Article  Google Scholar 

  40. 40.

    Bornstein DB, Beets MW, Byun W, McIver K. Accelerometer-derived physical activity levels of preschoolers: a meta-analysis. J Sci Med Sport. 2011;14:504–11.

    Article  Google Scholar 

  41. 41.

    De Craemer M, De Decker E, De Bourdeaudhuij I, Vereecken C, Deforche B, Manios Y, et al. Correlates of energy balance‐related behaviours in preschool children: a systematic review. Obes Rev. 2012;13(s1):13–28.

    Article  Google Scholar 

  42. 42.

    Janz KF, Burns TL, Levy SM. Tracking of activity and sedentary behaviors in childhood—The Iowa Bone Development Study. Am J Prev Med. 2005;29:171–8.

    Article  Google Scholar 

  43. 43.

    Taylor RW, Williams SM, Farmer VL, Taylor BJ. Changes in physical activity over time in young children: a longitudinal study using accelerometers. PLoS ONE. 2013;8:e81567.

    Article  Google Scholar 

  44. 44.

    Vale S, Silva P, Santos R, Soares-Miranda L, Mota J. Compliance with physical activity guidelines in preschool children. J Sports Sci. 2010;28:603–8.

    Article  Google Scholar 

  45. 45.

    McKee DP, Murtagh EM, Boreham C, Nevill AM, Murphy MH. Seasonal and annual variation in young children’s physical activity. Med Sci Sports Exerc. 2012;44:1318–24.

    Article  Google Scholar 

  46. 46.

    Pate RR, Baranowski T, Dowda M, Trost SG. Tracking of physical activity in young children. Med Sci Sports Exerc. 1996;28:92–96.

    CAS  Article  Google Scholar 

  47. 47.

    Williams HG, Pfeiffer KA, O’Neill JR, Dowda M, McIver KL, Brown WH, et al. Motor skill performance and physical activity in preschool children. Obes (Silver Spring). 2008;16:1421–6.

    Article  Google Scholar 

  48. 48.

    Hager ER, Gormley CE, Latta LW, Treuth MS, Caulfield LE, Black MM. Toddler physical activity study: laboratory and community studies to evaluate accelerometer validity and correlates. BMC Public Health. 2016;16:936.

    Article  Google Scholar 

  49. 49.

    Gardner DS, Hosking J, Metcalf BS, Jeffery AN, Voss LD, Wilkin TJ. Contribution of early weight gain to childhood overweight and metabolic health: a longitudinal study (EarlyBird 36). Pediatrics. 2009;123:e67–73.

    Article  Google Scholar 

  50. 50.

    Nader PR, O’Brien M, Houts R, Bradley R, Belsky J, Crosnoe R, et al. Identifying risk for obesity in early childhood. Pediatrics. 2006;118:e594–601.

    Article  Google Scholar 

Download references



Funding was provided from the Health Research Council of New Zealand.

Author information



Corresponding author

Correspondence to Kim Meredith-Jones.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Electronic supplementary material

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Meredith-Jones, K., Haszard, J., Moir, C. et al. Physical activity and inactivity trajectories associated with body composition in pre-schoolers. Int J Obes 42, 1621–1630 (2018).

Download citation

Further reading


Quick links