Skip to main content
Log in

Effects of Habitual Physical Activity and Fitness on Tibial Cortical Bone Mass, Structure and Mass Distribution in Pre-pubertal Boys and Girls: The Look Study

  • Original Research
  • Published:
Calcified Tissue International Aims and scope Submit manuscript

Abstract

Targeted weight-bearing activities during the pre-pubertal years can improve cortical bone mass, structure and distribution, but less is known about the influence of habitual physical activity (PA) and fitness. This study examined the effects of contrasting habitual PA and fitness levels on cortical bone density, geometry and mass distribution in pre-pubertal children. Boys (n = 241) and girls (n = 245) aged 7–9 years had a pQCT scan to measure tibial mid-shaft total, cortical and medullary area, cortical thickness, density, polar strength strain index (SSIpolar) and the mass/density distribution through the bone cortex (radial distribution divided into endo-, mid- and pericortical regions) and around the centre of mass (polar distribution). Four contrasting PA and fitness groups (inactive–unfit, inactive–fit, active–unfit, active–fit) were generated based on daily step counts (pedometer, 7-days) and fitness levels (20-m shuttle test and vertical jump) for boys and girls separately. Active-fit boys had 7.3–7.7 % greater cortical area and thickness compared to inactive–unfit boys (P < 0.05), which was largely due to a 6.4–7.8 % (P < 0.05) greater cortical mass in the posterior–lateral, medial and posterior–medial 66 % tibial regions. Cortical area was not significantly different across PA-fitness categories in girls, but active-fit girls had 6.1 % (P < 0.05) greater SSIpolar compared to inactive–fit girls, which was likely due to their 6.7 % (P < 0.05) greater total bone area. There was also a small region-specific cortical mass benefit in the posterior–medial 66 % tibia cortex in active-fit girls. Higher levels of habitual PA-fitness were associated with small regional-specific gains in 66 % tibial cortical bone mass in pre-pubertal children, particularly boys.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Daly RM (2007) The effect of exercise on bone mass and structural geometry during growth. Med Sport Sci 51:33–49

    Article  PubMed  Google Scholar 

  2. Hind K, Burrows M (2007) Weight-bearing exercise and bone mineral accrual in children adolescents: a review of controlled trials. Bone 40:14–27

    Article  CAS  PubMed  Google Scholar 

  3. Tan VPS, Macdonald HM, Kim S, Nettlefold L, Gabel L, Ashe MC, McKay HA (2014) Influence of physical activity on bone strength in children and adolescents: a systematic review and narrative synthesis. J Bone Miner Res 29:2161–2181

    Article  PubMed  Google Scholar 

  4. Bousson V, Bergot C, Meunier A, Barbot F, Parlier-Cuau C, Laval-Jeantet AM, Laredo JD (2000) CT of the middiaphyseal femur: cortical bone mineral density and relation to porosity. Radiology 217:179–187

    Article  CAS  PubMed  Google Scholar 

  5. Bousson V, Meunier A, Bergot C, Vicaut E, Rocha MA, Morais MH, Laval-Jeantet AM, Laredo JD (2001) Distribution of intracortical porosity in human midfemoral cortex by age and gender. J Bone Miner Res 16:1308–1317

    Article  CAS  PubMed  Google Scholar 

  6. Seeman E (2008) Structural basis of growth-related gain and age-related loss of bone strength. Rheumatology 47:2–8

    Article  Google Scholar 

  7. Zebaze RMD, Ghasem-Zadeh A, Bohte A, Iuliano-Burns S, Mirams M, Price RI, Mackie EJ, Seeman E (2010) Intracortical remodelling and porosity in the distal radius and post-mortem femurs of women: a cross-sectional study. Lancet 375:1729–1736

    Article  PubMed  Google Scholar 

  8. Rantalainen T, Weeks BK, Nogueira RC, Beck BR (2015) Effects of bone-specific physical activity, gender and maturity on tibial cross-sectional bone material distribution: a cross-sectional pQCT comparison of children and young adults aged 5–29 years. Bone 72:101–108

    Article  PubMed  Google Scholar 

  9. Janz K, Burns T, Levy S, Torner J, Willing MC, Beck T, Gilmore J, Marshall T (2004) Everyday activity predicts bone geometry in children: the Iowa bone development study. Med Sci Sports Exerc 36:1124–1131

    Article  PubMed  Google Scholar 

  10. Wang O, Suominen H, Nicholson P, Zou L, Alen M, Koistinen A, Cheng S (2005) Influence of physical activity and maturation status on bone mass and geometry in early pubertal girls. Scand J Med Sci Sports 15:100–106

    Article  CAS  PubMed  Google Scholar 

  11. Sardinha LB, Baptista F, Ekelund U (2008) Objectively measured physical activity and bone strength in 9-year-old boys and girls. Pediatrics 122:e728–e736

    Article  PubMed  Google Scholar 

  12. Farr JN, Blew RM, Lee VR, Lohman TG, Going SB (2011) Associations of physical activity duration, frequency, and load with volumetric BMD, geometry, and bone strength in young girls. Osteoporos Int 22:1419–1430

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Janz KF, Gilmore JME, Levy SM, Letuchy EM, Burns TL, Beck TJ (2007) Physical activity and femoral neck bone strength during childhood: the Iowa bone development study. Bone 41:216–222

    Article  PubMed  PubMed Central  Google Scholar 

  14. Macdonald HM, Cooper DML, McKay HA (2009) Anterior-posterior bending strength at the tibial shaft increases with physical activity in boys: evidence for non-uniform geometric adaptation. Osteoporos Int 20:61–70

    Article  CAS  PubMed  Google Scholar 

  15. Bailey CA, Kukuljan S, Daly RM (2010) Effects of lifetime loading history on cortical bone density and its distribution in middle-aged and older men. Bone 47:673–680

    Article  PubMed  Google Scholar 

  16. Telford RD, Basse SL, Budge MM et al (2009) The lifestyle of our kids (LOOK) project: outline of methods. J Sci Med Sport 12:156–163

    Article  PubMed  Google Scholar 

  17. Ducher G, Bass SL, Naughton GA, Eser P, Telford RD, Daly RM (2009) Overweight children have a greater proportion of fat mass relative to muscle mass in the upper limbs than in the lower limbs: implications for bone strength at the distal forearm. Am J Clin Nutr 90:1104–1111

    Article  CAS  PubMed  Google Scholar 

  18. Schoenau E, Neu CM, Rauch F, Manz F (2001) The development of bone strength at the proximal radius during childhood and adolescence. J Clin Endocr Metab 86:613–618

    Article  CAS  PubMed  Google Scholar 

  19. Ward KA, Mughal Z, Adams JE (2007) Tools for measuring bone in children and adolescents. current clinical practice: bone densitometry in growing patients: guidelines for clinical practice. Human Press Inc, Totowa, pp 15–40

    Google Scholar 

  20. Rantalainen T, Nikander R, Heinonen A, Daly RM, Sievanen H (2011) An open source approach for regional cortical bone mineral density analysis. J Musculoskelet Neuronal Interact 11:243–248

    CAS  PubMed  Google Scholar 

  21. Telford RD, Cunningham RB, Telford RM (2009) Day-dependent step-count patterns and their persistence over 3 years in 8-10-year-old children: the LOOK project. Ann Hum Biol 36:669–679

    Article  PubMed  Google Scholar 

  22. Beets MW, Patton MM, Edwards S (2005) The accuracy of pedometer steps and time during walking in children. Med Sci Sports Exerc 37:513–520

    Article  PubMed  Google Scholar 

  23. Tomkinson GR, Leger LA, Olds TS, Cazorla G (2003) Secular trends in the performance of children and adolescents (1980–2000): an analysis of 55 studies of the 20 m shuttle run test in 11 countries. Sports Med 33:285–300

    Article  PubMed  Google Scholar 

  24. Leger LA, Mercier D, Gadoury C, Lanmbert J (1988) The multistage 20 metre shuttle run test for aerobic fitness. J Sports Sci 6:93–101

    Article  CAS  PubMed  Google Scholar 

  25. Sayers S, Harackiewicz D, Harman E, Frykman P, Rosenstein M (1999) Cross-validation of three power equations. Med Sci Sports Exerc 31:572–577

    Article  CAS  PubMed  Google Scholar 

  26. Acero RM, Olmo MF, Sanchez JA (2011) Reliability of squat and countermovement jump tests in children 6 to 8 years of age. Pediatr Exerc Sci 23:151–160

    PubMed  Google Scholar 

  27. Tudor-Locke C, Hatano Y, Pangrazi RP, Kang M (2008) Revisiting “how many steps are enough?”. Med Sci Sports Exerc 40:S537–S543

    Article  PubMed  Google Scholar 

  28. McKay H, Liu D, Egeli D, Boyd S, Burrows M (2011) Physical activity positively predicts bone architecture and bone strength in adolescent males and females. Acta Paediatr 100:97–101

    Article  PubMed  Google Scholar 

  29. Moyer-Mileur L, Xie B, Ball S, Bainbridge C, Stadler D, Jee WS (2001) Predictors of bone mass by peripheral quantitative computed tomography in early adolescent girls. J Clin Densitom 4:313–323

    Article  CAS  PubMed  Google Scholar 

  30. Peterman MM, Hamel AJ, Cavanagh PR, Piazza SJ, Sharkey NA (2001) In vitro modeling of human tibial strains during exercise in micro-gravity. J Biomech 34:693–698

    Article  CAS  PubMed  Google Scholar 

  31. Bass SL, Saxon L, Daly RM, Turner CH, Robling AG, Seeman E, Stuckey S (2002) The effect of mechanical loading on the size and shape of bone in pre-, peri-, and postpubertal girls: a study in tennis players. J Bone Miner Res 17:2274–2280

    Article  CAS  PubMed  Google Scholar 

  32. Telford RM, Telford RD, Cochrane T, Cunningham RB, Olive LS, Davey R (2015) The influence of sport club participation on physical activity, fitness and body fat during childhood and adolescence: the LOOK longitudinal study. J Sci Med Sport. doi:10.1016/j.jsams.2015.04.008

    PubMed  Google Scholar 

  33. Ward KA, Roberts SA, Adams JE, Mughal MZ (2005) Bone geometry and density in the skeleton of pre-pubertal gymnasts and school children. Bone 36:1012–1018

    Article  CAS  PubMed  Google Scholar 

  34. Goldman HM, Thomas CDL, Clement JG, Bromage TG (2005) Relationships among microstructural properties of bone at the human midshaft femur. J Anat 206:127–139

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Basillais A, Bensamoun S, Chappard C, Brunet-Imbault Lemineur G, Ilharreborde B, Tho MC, Benhamou CL (2007) Three-dimensional characterization of cortical bone microstructure by microcomputed tomography: validation with ultrasonic and microscopic measurements. J Orthop Sci 12:141–148

    Article  PubMed  Google Scholar 

  36. Seeman E (2003) Reduced bone formation and increased bone resorption: rational targets for treatment of osteoporosis. Osteoporos Int 14:S2–S8

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This study was funded by the Commonwealth Education Trust (London, UK) and the Canberra Hospital Salaried Staff Specialists Private Practice Fund (Canberra).

Authors Contribution

Study design RMD, RDT and GD; Study Conduct: RMD, RDT, GD, BH, RMT; Data Analysis: RLD, RMD, RT; Data Interpretation: RLD, RMD, RT; Drafting Manuscript: RLD and RMD; Revising manuscript content and approving final version of the manuscript: all authors. RMD takes responsibility for the integrity of the data analysis.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Rachel L. Duckham.

Ethics declarations

Conflict of Interest

All authors declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

The study received ethical approval from the ACT Department of Education and Training, the Australian Institute of Sport Ethics Committee, the ACT Health Committee for Ethics in Human Research and the Deakin University Human Research Ethics Committee. Assent was obtained from each child and informed written consent was obtained from each parent or legal guardian prior to study participation.

Electronic Supplementary Material

Below is the link to the electronic supplementary material.

Supplementary Table 1

Correlations showing the relationship between PA and the various fitness measures with the bone traits in boys (a) and girls (b). Supplementary material 1 (DOCX 148 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Duckham, R.L., Rantalainen, T., Ducher, G. et al. Effects of Habitual Physical Activity and Fitness on Tibial Cortical Bone Mass, Structure and Mass Distribution in Pre-pubertal Boys and Girls: The Look Study. Calcif Tissue Int 99, 56–65 (2016). https://doi.org/10.1007/s00223-016-0128-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00223-016-0128-4

Keywords

Navigation