Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 22

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Greater maintenance of bone mineral content in male than female athletes and in sprinting and jumping than endurance athletes: a longitudinal study of bone strength in elite masters athletes

Ireland, Alex, Mittag, Uwe, Degens, Hans, Felsenberg, Dieter, Ferretti, José L., Heinonen, Ari, Koltai, Erika, Korhonen, Marko T., McPhee, Jamie S., Mekjavic, Igor, Piasecki, Jessica, Pisot, Rado, Radak, Zsolt, Simunic, Bostjan, Suominen, Harri, Wilks, Désirée C., Winwood, Keith, Rittweger, Jörn·2020·Archives of Osteoporosis
DOI 10.1007/s11657-020-00757-w
Open this paper in CoChat — free account

Abstract

Summary: We investigated longitudinal changes in tibia bone strength in master power (jumping and sprinting) and endurance (distance) athletes of both sexes. Bone mass but not cross-sectional moment of inertia was better maintained in power than endurance athletes over time, particularly in men and independent of changes in performance. Objective: Assessment of effects of sex and athletic discipline (lower limb power events, e.g. sprint running and jumping versus endurance running events) on longitudinal changes in bone strength in masters athletes. Methods: We examined tibia and fibula bone properties at distal (4% distal-proximal tibia length) and proximal (66% length) sites using peripheral quantitative computed tomography (pQCT) in seventy-one track and field masters athletes (30 male, 41 female, age at baseline 57.0 ± 12.2 years) in a longitudinal cohort study that included at least two testing sessions over a mean period of 4.2 ± 3.1 years. Effects of time, as well as time × sex and time × discipline interactions on bone parameters and calf muscle cross-sectional area (CSA), were examined. Results: Effects of time were sex and discipline-dependent, even following adjustment for enrolment age, sex and changes in muscle CSA and athletic performance. Male sex and participation in power events was associated with better maintenance of tibia bone mineral content (BMC, an indicator of bone compressive strength) at 4% and 66% sites. In contrast, there was no strong evidence of sex or discipline effects on cross-sectional moment of inertia (CSMI, an indicator of bone bending and torsional strength—P > 0.3 for interactions). Similar sex and discipline-specific changes were also observed in the fibula. Conclusions: Results suggest that male athletes and those participating in lower limb power-based rather than endurance-based disciplines have better maintenance of bone compressive but not bending and torsional strength.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s11657-020-00757-w

Cites

5 of 5 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

1 more claim about this paper

Create a free account to see every claim other papers make about this one.

See all claims — free account

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 5 references

Research works printed but not linked: 41

  1. Schuit SC, van der Klift M, Weel AE, de Laet CE, Burger H, Seeman E, Hofman A, Uitterlinden AG, van Leeuwen JP, Pols HA (2004) Fracture incidence and association with bone mineral density in elderly men and women: the Rotterdam Study. Bone 34:195–202 · DOI · Paper page
  2. Caspersen CJ, Pereira MA, Curran KM (2000) Changes in physical activity patterns in the United States, by sex and cross-sectional age. Med Sci Sports Exerc 32:1601–1609 · DOI · Paper page
  3. Hannam K, Deere KC, Hartley A et al (2016) 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 28:1001–1011 · DOI
  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 28:2813–2822 · DOI · Paper page
  5. Johansson J, Nordström A, Nordström P (2015) Objectively measured physical activity is associated with parameters of bone in 70-year-old men and women. Bone 81:72–79 · DOI · Paper page
  6. Velez NF, Zhang A, Stone B, Perera S, Miller M, Greenspan SL (2008) The effect of moderate impact exercise on skeletal integrity in master athletes. Osteoporos Int 19:1457–1464 · DOI · Paper page
  7. Nowak A, Straburzynska-Lupa A, Kusy K, Zielinski J, Felsenberg D, Rittweger J, Karolkiewicz J, Straburzynska-Migaj E, Pilaczynska-Szczesniak L (2010) Bone mineral density and bone turnover in male masters athletes aged 40-64. Aging Male 13:133–141 · DOI · Paper page
  8. Gast U, Belavy DL, Armbrecht G, Kusy K, Lexy H, Rawer R, Rittweger J, Winwood K, Zielinski J, Felsenberg D (2013) Bone density and neuromuscular function in older competitive athletes depend on running distance. Osteoporos Int 24:2033–2042 · DOI · Paper page
  9. Ireland A, Degens H, Ganse B, Maden-Wilkinson TM, Wilks D, Rittweger J (2015) Greater tibial bone strength in male tennis players than controls in the absence of greater muscle output. J Orthop Transl 3:142–151
  10. Wilks DC, Winwood K, Gilliver SF, Kwiet A, Chatfield M, Michaelis I, Sun LW, Ferretti JL, Sargeant AJ, Felsenberg D, Rittweger J (2009) Bone mass and geometry of the tibia and the radius of master sprinters, middle and long distance runners, race-walkers and sedentary control participants: a pQCT study. Bone 45:91–97 · DOI · Paper page
  11. Wilks DC, Winwood K, Gilliver SF, Kwiet A, Sun LW, Gutwasser C, Ferretti JL, Sargeant AJ, Felsenberg D, Rittweger J (2009) Age-dependency in bone mass and geometry: a pQCT study on male and female master sprinters, middle and long distance runners, race-walkers and sedentary people. J Musculoskelet Neuronal Interact 9:236–246
  12. Ireland A, Maden-Wilkinson T, Ganse B, Degens H, Rittweger J (2014) Effects of age and starting age upon side asymmetry in the arms of veteran tennis players: a cross-sectional study. Osteoporos Int 25:1389–1400 · DOI · Paper page
  13. Rittweger J, Frost HM, Schiessl H, Ohshima H, Alkner B, Tesch P, Felsenberg D (2005) Muscle atrophy and bone loss after 90 days’ bed rest and the effects of flywheel resistive exercise and pamidronate: results from the LTBR study. Bone 36:1019–1029 · DOI · Paper page
  14. Recker R, Lappe J, Davies K, Heaney R (2000) Characterization of perimenopausal bone loss: a prospective study. J Bone Miner Res 15:1965–1973 · DOI · Paper page
  15. Lauretani F, Bandinelli S, Griswold ME, Maggio M, Semba R, Guralnik JM, Ferrucci L (2008) Longitudinal changes in BMD and bone geometry in a population-based study. J Bone Miner Res 23:400–408 · DOI · Paper page
  16. Hawkins SA, Schroeder ET, Dreyer HC, Underwood S, Wiswell RA (2003) Five-year maintenance of bone mineral density in women master runners. Med Sci Sports Exerc 35:137–144 · DOI · Paper page
  17. Wiswell RA, Hawkins SA, Dreyer HC, Jaque SV (2002) Maintenance of BMD in older male runners is independent of changes in training volume or VO(2)peak. J Gerontol A Biol Sci Med Sci 57:M203–M208 · DOI · Paper page
  18. Lauretani F, Russo CR, Bandinelli S, Bartali B, Cavazzini C, Di Iorio A, Corsi AM, Rantanen T, Guralnik JM, Ferrucci L (2003) Age-associated changes in skeletal muscles and their effect on mobility: an operational diagnosis of sarcopenia. J Appl Physiol (1985) 95:1851–1860 · DOI · Paper page
  19. Jarvinen TL, Kannus P, Sievanen H (2003) Estrogen and bone--a reproductive and locomotive perspective. J Bone Miner Res 18:1921–1931 · DOI
  20. Schiessl H, Frost HM, Jee WS (1998) Estrogen and bone-muscle strength and mass relationships. Bone 22:1–6 · DOI · Paper page
  21. Saxon LK, Turner CH (2006) Low-dose estrogen treatment suppresses periosteal bone formation in response to mechanical loading. Bone 39:1261–1267 · DOI
  22. Rittweger J, Goosey-Tolfrey VL, Cointry G, Ferretti JL (2010) Structural analysis of the human tibia in men with spinal cord injury by tomographic (pQCT) serial scans. Bone 47:511–518 · DOI
  23. Ackerman KE, Nazem T, Chapko D, Russell M, Mendes N, Taylor AP, Bouxsein ML, Misra M (2011) Bone microarchitecture is impaired in adolescent amenorrheic athletes compared with eumenorrheic athletes and nonathletic controls. J Clin Endocrinol Metab 96:3123–3133 · DOI
  24. Meakin LB, Delisser PJ, Galea GL, Lanyon LE, Price JS (2015) Disuse rescues the age-impaired adaptive response to external loading in mice. Osteoporos Int 26:2703–2708 · DOI · Paper page
  25. Rittweger J, di Prampero PE, Maffulli N, Narici MV (2009) Sprint and endurance power and ageing: an analysis of master athletic world records. Proc Biol Sci 276:683–689
  26. Rosenbloom C, Bahns M (2006) What can we learn about diet and physical activity from master athletes? Holist Nurs Pract 20:161–166 quiz 167-168 · DOI
  27. Michaelis I, Kwiet A, Gast U, Boshof A, Antvorskov T, Jung T, Rittweger J, Felsenberg D (2008) Decline of specific peak jumping power with age in master runners. J Musculoskelet Neuronal Interact 8:64–70
  28. Korhonen MT, Heinonen A, Siekkinen J, Isolehto J, Alén M, Kiviranta I, Suominen H (2012) Bone density, structure and strength, and their determinants in aging sprint athletes. Med Sci Sports Exerc 44:2340–2349 · DOI · Paper page
  29. Hardcastle SA, Gregson CL, Rittweger J, Crabtree N, Ward K, Tobias JH (2014) Jump power and force have distinct associations with cortical bone parameters: findings from a population enriched by individuals with high bone mass. J Clin Endocrinol Metab 99:266–275 · DOI · Paper page
  30. Rantalainen T, Duckham RL, Suominen H, Heinonen A, Alén M, Korhonen MT (2014) Tibial and fibular mid-shaft bone traits in young and older sprinters and non-athletic men. Calcif Tissue Int 95:132–140 · DOI
  31. Rittweger J, Ireland A, Lüscher S, Nocciolino LM, Pilot N, Pisani L, Cointry GR, Ferretti JL, Capozza RF (2018) Fibula: the forgotten bone-may it provide some insight on a wider scope for bone mechanostat control? Curr Osteoporos Rep 16:775–778 · DOI
  32. Lüscher SH, Nocciolino LM, Pilot N, Pisani L, Ireland A, Rittweger J, Ferretti JL, Cointry GR, Capozza RF (2019) Differences in the cortical structure of the whole fibula and tibia between long-distance runners and untrained controls. Toward a wider conception of the biomechanical regulation of cortical bone structure. Front Endocrinol (Lausanne) 10:833 · DOI
  33. Riggs BL, Melton LJ, Robb RA, Camp JJ, Atkinson EJ, McDaniel L, Amin S, Rouleau PA, Khosla S (2008) A population-based assessment of rates of bone loss at multiple skeletal sites: evidence for substantial trabecular bone loss in young adult women and men. J Bone Miner Res 23:205–214 · DOI · Paper page
  34. Rauch F (2012) The dynamics of bone structure development during pubertal growth. J Musculoskelet Neuronal Interact 12:1–6
  35. Fuchs RK, Bauer JJ, Snow CM (2001) Jumping improves hip and lumbar spine bone mass in prepubescent children: a randomized controlled trial. J Bone Miner Res 16:148–156 · DOI · Paper page
  36. Kramer A, Gollhofer A, Armbrecht G, Felsenberg D, Gruber M (2017) How to prevent the detrimental effects of two months of bed-rest on muscle, bone and cardiovascular system: an RCT. Sci Rep 7:13177 · DOI
  37. Suominen TH, Korhonen MT, Alén M, Heinonen A, Mero A, Törmäkangas T, Suominen H (2017) Effects of a 20-week high-intensity strength and sprint training program on tibial bone structure and strength in middle-aged and older male sprint athletes: a randomized controlled trial. Osteoporos Int 28:2663–2673 · DOI · Paper page
  38. Ireland A, Korhonen M, Heinonen A, Suominen H, Baur C, Stevens S, Degens H, Rittweger J (2011) Side-to-side differences in bone strength in master jumpers and sprinters. J Musculoskelet Neuronal Interact 11:298–305
  39. Fiatarone MA, O'Neill EF, Ryan ND, Clements KM, Solares GR, Nelson ME, Roberts SB, Kehayias JJ, Lipsitz LA, Evans WJ (1994) Exercise training and nutritional supplementation for physical frailty in very elderly people. N Engl J Med 330:1769–1775 · DOI · Paper page
  40. Buchheit M, Laursen PB (2013) High-intensity interval training, solutions to the programming puzzle. Part II: anaerobic energy, neuromuscular load and practical applications. Sports Med 43:927–954 · DOI · Paper page
  41. Buchheit M, Laursen PB (2013) High-intensity interval training, solutions to the programming puzzle: part I: cardiopulmonary emphasis. Sports Med 43:313–338 · DOI · Paper page

Cited by

Metadata

Authors
Ireland, A., Mittag, U., Degens, H., Felsenberg, D., Ferretti, J. L., Heinonen, A., Koltai, E., Korhonen, M. T., McPhee, J. S., Mekjavic, I., Piasecki, J., Pisot, R., Radak, Z., Simunic, B., Suominen, H., Wilks, D. C., Winwood, K., & Rittweger, J.
Venue
Archives of Osteoporosis
Publisher
Springer Science and Business Media LLC
Published
2020-06-10
Volume
15
Issue
1
ISSN
  • 1862-3522
  • 1862-3514
DOI
10.1007/s11657-020-00757-w
Cited by
22
References
5
Language
en
Licence
Funders
Manchester Metropolitan University

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.