Skip to main content

Advertisement

Log in

Associations between physical activity and bone structure in older adults: does the use of self-reported versus objective assessments of physical activity influence the relationship?

  • Original Article
  • Published:
Osteoporosis International Aims and scope Submit manuscript

Abstract

Summary

Associations of current and previous physical activity (PA) with bone health are unclear. In postmenopausal women with low bone mineral density (BMD), current PA was positively associated with femoral neck BMD and microarchitecture. Past PA was positively associated with tibial microarchitecture. PA appears beneficial for bone health throughout the lifespan.

Introduction

To compare associations of current and past self-reported bone-specific physical activity, and current accelerometer-determined physical activity (PA), with bone structure (bone mineral density [BMD] and microarchitecture) in postmenopausal women with osteopenia or osteoporosis.

Methods

Fifty community-dwelling postmenopausal women (mean age 64.4 ± 7.7) with hip or spine BMD T-score < − 1.0 SD were recruited for an exercise intervention. At baseline, current, past and total Bone-specific Physical Questionnaire (BPAQ) scores were self-reported, and percentages of sedentary, light and moderate to vigorous PA (MVPA) were objectively determined by accelerometer measurements. Bone structure was assessed by lumbar spine and hip dual-energy X-ray absorptiometry (DXA), 3D modelling algorithms (3D-SHAPER) of hip DXA scans and distal tibial high-resolution peripheral quantitative computed tomography (HR-pQCT) scans.

Results

Current BPAQ scores and MVPA were significantly positively associated with femoral neck areal BMD (β = 0.315, p = 0.031 and β = 0.311, p = 0.042, respectively) following multivariable adjustments. MVPA was also positively associated with femoral cortical surface BMD (β = 0.333, p = 0.028) and mean cortical thickness (β = 0.374, p = 0.013). Past and total BPAQ scores demonstrated positive associations with tibial trabecular number (β = 0.391, p = 0.008 and β = 0.381, p = 0.010, respectively), and negative associations with trabecular separation (β = − 0.396, p = 0.006 and β = − 0.380, p = 0.009, respectively) and distribution (β = − 0.411, p = 0.004 and β = − 0.396, p = 0.006, respectively). Current BPAQ score was positively associated with tibial cortical periosteal perimeter (β = 0.278, p = 0.014).

Conclusion

BPAQ scores were most consistently associated with tibial bone parameters in older women, with past PA having lasting benefits for trabecular microarchitecture, and current PA positively associated with cortical bone.

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.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Watts JJ, Abimanyi-Ochom J, Sanders KM (2012) Osteoporosis costing all Australians: a new burden of disease analysis. Osteoporosis Australia

  2. Hamilton CJ, Swan VJD, Jamal SA (2010) The effects of exercise and physical activity participation on bone mass and geometry in postmenopausal women: a systematic review of pQCT studies. Osteoporos Int 21(1):11–23

    Article  CAS  Google Scholar 

  3. Wallace BA, Cumming RG (2000) Systematic review of randomized trials of the effect of exercise on bone mass in pre- and postmenopausal women. Calcif Tissue Int 67(1):10–18

    Article  CAS  Google Scholar 

  4. Hannam K, Deere KC, Hartley A, Al-Sari UA, Clark EM, Fraser WD, Tobias JH (2017) Habitual levels of higher, but not medium or low, impact physical activity are positively related to lower limb bone strength in older women: findings from a population-based study using accelerometers to classify impact magnitude. Osteoporos Int 28(10):2813–2822. https://doi.org/10.1007/s00198-016-3863-5

    Article  CAS  PubMed  Google Scholar 

  5. Johansson J, Nordstrom A, Nordstrom P (2015) Objectively measured physical activity is associated with parameters of bone in 70-year-old men and women. Bone 81:72–79. https://doi.org/10.1016/j.bone.2015.07.001

    Article  PubMed  Google Scholar 

  6. Weeks BK, Beck BR (2008) The BPAQ: a bone-specific physical activity assessment instrument. Osteoporos Int 19(11):1567–1577. https://doi.org/10.1007/s00198-008-0606-2

    Article  CAS  PubMed  Google Scholar 

  7. Dolan SH, Williams DP, Ainsworth BE, Shaw JM (2006) Development and reproducibility of the bone loading history questionnaire. Med Sci Sports Exerc 38(6):1121–1131

    Article  Google Scholar 

  8. Gába A, Kapuš O, Pelclová J, Riegerová J (2012) The relationship between accelerometer-determined physical activity (PA) and body composition and bone mineral density (BMD) in postmenopausal women. Arch Gerontol Geriatr 54(3):e315–e321

    Article  Google Scholar 

  9. Warden SJ, Fuchs RK, Castillo AB, Nelson IR, Turner CH (2007) Exercise when young provides lifelong benefits to bone structure and strength. J Bone Miner Res 22(2):251–259. https://doi.org/10.1359/jbmr.061107

    Article  PubMed  Google Scholar 

  10. Looker AC, Borrud LG, Hughes JP, Fan B, Shepherd JA, Melton LJ (2012) Lumbar spine and proximal femur bone mineral density, bone mineral content, and bone area: United States, 2005–2008. Vital Health Stat 11(251)

  11. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis: report of a WHO study group (1994). Geneva, World Health Organization

  12. Humbert L, Martelli Y, Fonollà R, Steghöfer M, Gregorio SD, Malouf J, Romera J, Barquero LMDR (2017) 3D-DXA: Assessing the femoral shape, the trabecular macrostructure and the cortex in 3D from DXA images. IEEE Trans Med Imaging 36(1):27–39

    Article  Google Scholar 

  13. Cheung AM, Adachi JD, Hanley DA, Kendler DL, Davison KS, Josse R, Brown JP, Ste-Marie L-G, Kremer R, Erlandson MC, Dian L, Burghardt AJ, Boyd SK (2013) High-resolution peripheral quantitative computed tomography for the assessment of bone strength and structure: a review by the Canadian Bone Strength Working Group. Curr Osteoporos Rep 11(2):136–146

    Article  Google Scholar 

  14. Vasikaran SD, Chubb SAP, Schneider H-G (2014) Towards optimising the provision of laboratory services for bone turnover markers. Pathology 46(4):267–273

    Article  CAS  Google Scholar 

  15. vd Ouweland JM, Beijers AM, Demacker PN, Daal H (2010) Measurement of 25-OH-vitamin D in human serum using liquid chromatography tandem-mass spectrometry with comparison to radioimmunoassay and automated immunoassay. J Chromatogr B Biomed Appl 878(15-16):1163–1168

    Article  Google Scholar 

  16. Freedson PS, Melanson E, Sirard J (1998) Calibration of the Computer Science and Applications, Inc accelerometer. Med Sci Sports Exerc 30(5):777–781

    Article  CAS  Google Scholar 

  17. Menai M, van Hees VT, Elbaz A, Kivimaki M, Singh-Manoux A, Sabia S (2017) Accelerometer assessed moderate-to-vigorous physical activity and successful ageing: results from the Whitehall II study. Sci Rep 7:45772

    Article  Google Scholar 

  18. Bonaretti S, Majumdar S, Lang TF, Khosla S, Burghardt AJ (2017) The comparability of HR-pQCT bone measurements is improved by scanning anatomically standardized regions. Osteoporos Int 28(7):2115–2128

    Article  CAS  Google Scholar 

  19. Shanbhogue VV, Hansen S, Halekoh U, Brixen K (2015) Use of relative vs fixed offset distance to define region of interest at the distal radius and tibia in high-resolution peripheral quantitative computed tomography. J Clin Densitom 18(2):217–225

    Article  Google Scholar 

  20. Rideout CA, McKay HA, Barr SI (2006) Self-reported lifetime physical activity and areal bone mineral density in healthy postmenopausal women: the importance of teenage activity. Calcif Tissue Int 79(4):214–222

    Article  CAS  Google Scholar 

  21. Evenson KR, Wilcox S, Pettinger M, Brunner R, King AC, McTiernan A (2002) Vigorous leisure activity through women’s adult life: the Women’s Health Initiative Observational Cohort Study. Am J Epidemiol 156(10):945–953

    Article  Google Scholar 

  22. Sallis JF, Saelens BE (2000) Assessment of physical activity by self-report: status, limitations, and future directions. Res Q Exerc Sport 71(Suppl 2):1–14. https://doi.org/10.1080/02701367.2000.11082780

    Article  PubMed  Google Scholar 

  23. van de Mortel FT (2008) Faking it: social desirability response bias in self-report research. Aust J Adv Nurs 25(4):40–48

    Google Scholar 

  24. Hannam K, Deere KC, Hartley A, Clark EM, Coulson J, Ireland A, Moss C, Edwards MH, Dennison E, Gaysin T, Cooper R, Wong A, McPhee JS, Cooper C, Kuh D, Tobias JH (2017) A novel accelerometer-based method to describe day-to-day exposure to potentially osteogenic vertical impacts in older adults: findings from a multi-cohort study. Osteoporos Int 28(3):1001–1011. https://doi.org/10.1007/s00198-016-3810-5

    Article  CAS  PubMed  Google Scholar 

  25. Bolam KA, Beck BR, Adlard KN, Skinner TL, Cormie P, Galvão DA, Spry N, Newton RU, Taaffe DR (2014) The relationship between BPAQ-derived physical activity and bone density of middle-aged and older men. Osteoporos Int 25(11):2663–2668

    Article  CAS  Google Scholar 

  26. Kim S, Baker BS, Sharma-Ghimire P, Bemben DA, Bemben MG (2018) Association between bone-specific physical activity scores and pQCT-derived measures of bone strength and geometry in healthy young and middle-aged premenopausal women. Arch Osteoporos 13:83

    Article  Google Scholar 

  27. Kim S, So WY, Kim J, Sung DJ (2016) Relationship between bone-specific physical activity scores and measures for body composition and bone mineral density in healthy young college women. PLoS One 11(9):e0162127

    Article  Google Scholar 

  28. Kindler JM, Ross HL, Laing EM, Modlesky CM, Pollock NK, Baile CA, Lewis RD (2015) Load-specific physical activity scores are related to tibia bone architecture. Int J Sport Nutr Exerc Metab 25(2):136–144. https://doi.org/10.1123/ijsnem.2013-0258

    Article  PubMed  Google Scholar 

  29. Lang TF (2011) The bone-muscle relationship in men and women. J Osteoporos 2011:702735

    Article  Google Scholar 

  30. Martyn-St James M, Carroll S (2009) A meta-analysis of impact exercise on postmenopausal bone loss: the case for mixed loading exercise programmes. Br J Sports Med 43(12):898–908. https://doi.org/10.1136/bjsm.2008.052704

    Article  CAS  PubMed  Google Scholar 

  31. Troy KL, Mancuso ME, Butler TA, Johnson JE (2018) Exercise early and often: effects of physical activity and exercise on women’s bone health. Int J Environ Res Public Health 15(5):878

    Article  Google Scholar 

  32. Harding AT, Beck BR (2017) Exercise, osteoporosis, and bone geometry. Sports 5(2):29

    Article  Google Scholar 

  33. Chen H, Zhou X, Fujita H, Onozuka M, Kubo K-Y (2013) Age-related changes in trabecular and cortical bone microstructure. Int J Endocrinol:2013

  34. Macdonald HM, Nishiyama KK, Kang J, Hanley DA, Boyd SK (2010) Age-related patterns of trabecular and cortical bone loss differ between sexes and skeletal sites: a population-based HR-pQCT study. J Bone Miner Res 26(1):50–62

    Article  Google Scholar 

  35. Gallacher SJ, Dixon T (2010) Impact of treatments for postmenopausal osteoporosis (bisphosphonates, parathyroid hormone, strontium ranelate, and denosumab) on bone quality: a systematic review. Calcif Tissue Int 87(6):469–484

    Article  CAS  Google Scholar 

  36. Nikander R, Sievänen H, Heinonen A, Daly RM, Uusi-Rasi K, Kannus P (2010) Targeted exercise against osteoporosis: a systematic review and meta-analysis for optimising bone strength throughout life. BMC Med 8:47

    Article  Google Scholar 

  37. Linden JCVD, Homminga J, Verhaar JAN, Weinans H (2009) Mechanical consequences of bone loss in cancellous bone. J Bone Miner Res 16(3)

  38. Szulc P, Seeman E, Duboeuf F, Sornay-Rendu E, Delmas PD (2009) Bone fragility: failure of periosteal apposition to compensate for increased endocortical resorption in postmenopausal women. J Bone Miner Res 21(12):1856–1863

    Article  Google Scholar 

  39. Whitmarsh T, Fritscher KD, Humbert L, Barquero LMDR, Roth T, Kammerlander C, Blauth M, Schubert R, Frangi AF (2011) A statistical model of shape and bone mineral density distribution of the proximal femur for fracture risk assessment, vol 6892. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. Springer, Berlin, Heidelberg

  40. Civitelli R, Armamento-Villareal R, Napoli N (2009) Bone turnover markers: understanding their value in clinical trials and clinical practice. Osteoporos Int 20(6):843–851

    Article  CAS  Google Scholar 

  41. Bendera R, Lange S (2001) Adjusting for multiple testing—when and how? J Clin Epidemiol 54(4):343–349

    Article  Google Scholar 

Download references

Funding

This study was funded by a Monash University Faculty of Medicine, Nursing and Health Sciences Strategic Grant (SGS16-0388) awarded to DS. DS is supported by a NHMRC RD Wright Biomedical Career Development Fellowship (GNT1123014).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to C.-A. Ng.

Ethics declarations

Conflict of interest

Carrie-Anne Ng, Lachlan McMillan, Belinda Beck, David Scott and Peter Ebeling declare that they have no conflict of interest. Ludovic Humbert is a stockholder and employee of Galgo Medical.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ng, CA., McMillan, L., Beck, B. et al. Associations between physical activity and bone structure in older adults: does the use of self-reported versus objective assessments of physical activity influence the relationship?. Osteoporos Int 31, 493–503 (2020). https://doi.org/10.1007/s00198-019-05208-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00198-019-05208-y

Keywords

Navigation