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Cited by 50Bone health and osteoporosis researchLower Extremity Biomechanics and PathologiesSports Performance and Training

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index; none of the 54 sources its claims cite is checked for support yet.

Hip and spine bone mineral density are greater in master sprinters, but not endurance runners compared with non-athletic controls

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Abstract

We examined bone density in older athletes and controls. Sprinters had greater hip and spine bone density than endurance athletes and controls, whereas values were similar in the latter two groups. These results could not be explained by differences in impact, muscle size or power between sprint and endurance athletes. PURPOSE: We examined the relationship between prolonged participation in regular sprint or endurance running and skeletal health at key clinical sites in older age, and the factors responsible for any associations which we observed. METHODS: We recruited 38 master sprint runners (28 males, 10 females, mean age 71 ± 7 years), 149 master endurance runners (111 males, 38 females, mean age 70 ± 6 years) and 59 non-athletic controls (29 males, 30 females, mean age 74 ± 5 years). Dual X-ray absorptiometry was used to assess hip and spine bone mineral density (BMD), body composition (lean and fat mass), whilst jump power was assessed with jumping mechanography. In athletes, vertical impacts were recorded over 7 days from a waist-worn accelerometer, and details of starting age, age-graded performance and training hours were recorded. RESULTS: In ANOVA models adjusted for sex, age, height, body composition, and jump power, sprinter hip BMD was 10 and 14% greater than that of endurance runners and controls respectively. Sprinter spine BMD was also greater than that of both endurance runners and controls. There were no differences in hip or spine BMD between endurance runners and controls. Stepwise regression showed only discipline (sprint/endurance), sex, and age as predictors of athlete spine BMD, whilst these variables and starting age were predictive of hip BMD. CONCLUSIONS: Regular running is associated with greater BMD at the fracture-prone hip and spine sites in master sprinters but not endurance runners. These benefits cannot be explained by indicators of mechanical loading measured in this study including vertical impacts, body composition or muscular output.

Overview

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TL;DR

Master sprinters had greater hip and spine bone mineral density (BMD) than endurance runners and non-athletic controls, whereas endurance runners showed no BMD advantage over controls. These differences persisted after adjustment for body composition and jump power and were not explained by measured vertical impacts.

Key findings

  • In ANOVA models adjusted for sex, age, height, body composition, and jump power, sprinter hip BMD was 10% and 14% greater than that of endurance runners and controls, respectively; sprinter spine BMD was also greater than both groups, while endurance runners and controls did not differ at hip or spine.
  • Stepwise regression identified discipline (sprint/endurance), sex, and age as predictors of athlete spine BMD; these variables plus starting age predicted athlete hip BMD.
  • Sprinters had greater lean mass and 10–30% greater relative and absolute power values than endurance runners and controls.
  • Endurance athletes recorded 2.2-fold and 3.0-fold higher low- and medium-impact counts than sprinters, but high-impact counts did not differ between the athlete groups.

Methods

  • Cross-sectional comparison of 38 master sprinters (28 males, 10 females; mean age 71 ± 7 years), 149 master endurance runners (111 males, 38 females; mean age 70 ± 6 years), and 59 non-athletic controls (29 males, 30 females; mean age 74 ± 5 years).
  • Dual X-ray absorptiometry measured hip and spine BMD and body composition; jumping mechanography assessed lower-limb muscle power; athletes wore a waist accelerometer for 7 days to record vertical impacts.
  • Analyses used ANOVA/ANCOVA models with sequential adjustment for age, height, sex, fat mass, lean mass, and absolute power, plus single-factor and stepwise linear regressions in athletes.

Limitations

  • The paper states the cross-sectional design limits causal inference and leaves possible uncontrolled confounding; it also notes little information on medications, nutrient intake including vitamin D, and hormones such as testosterone.
  • The authors state that a detailed training log was not taken and that accelerometer displacement during extreme high impacts could affect accuracy; accelerometers registered only vertical impacts, not horizontal components.
  • The paper notes muscle measures were obtained at a single time point late in life and may have underestimated life-course differences; evident from the text, controls were older than both athlete groups, and self-selection bias into sport is proposed as an alternative explanation.

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Integrity signals

Registry

Crossref · 10.1007/s11657-018-0486-9

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

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Figures

Fig. 1 Adjusted mean estimates separated by group in a series of ANOVA models (means ± SD) for a the hip and b the spine BMD adjustments: M1; adjusted for sex, height, and age, M2; M1 + fat mass, M3; M1 + lean mass, M4; M1+ fat mass + lean mass, M5; M4+ absolute power. Asterisks indicate significant difference from endurance *P < 0.05, *P < 0.01, ***P < 0.001. Crosses indicate significant difference from controls +P < 0.05, ++P < 0.01, +++P < 0.001
Fig. 1 Adjusted mean estimates separated by group in a series of ANOVA models (means ± SD) for a the hip and b the spine BMD adjustments: M1; adjusted for sex, height, and age, M2; M1 + fat mass, M3; M1 + lean mass, M4; M1+ fat mass + lean mass, M5; M4+ absolute power. Asterisks indicate significant difference from endurance *P < 0.05, *P < 0.01, ***P < 0.001. Crosses indicate significant difference from controls +P < 0.05, ++P < 0.01, +++P < 0.001CC BY · PubMed Central

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Citations

Cites

Research works printed but not linked: 1

  1. 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 · DOI · Paper page

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Metadata

Authors
Piasecki, J., McPhee, J. S., Hannam, K., Deere, K. C., Elhakeem, A., Piasecki, M., Degens, H., Tobias, J. H., & Ireland, A.
Affiliations
  • Nottingham Trent University (GB)
  • Manchester Metropolitan University (GB)
  • University of Bristol (GB)
  • University of Nottingham (GB)
Corresponding author
McPhee, J. S.
Venue
Archives of Osteoporosis
Published
2018-07-03
Volume
13
Issue
1
Pages
72-72
ISSN
  • 1862-3522 (ISSN-L)
  • 1862-3514
OpenAlex
W2809881194
Cited by
50
References
39
Citations by year
2025: 6 · 2024: 11 · 2023: 5 · 2022: 4 · 2021: 7 · 2020: 7 · 2019: 9
FWCI
6.13
Type
journal article
Language
en
Open access
Licence
  • cc-by
  • creativecommons.org/licenses/by/4.0 (tdm)
Locations
  • Archives of Osteoporosis (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Repository@Nottingham (University of Nottingham) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • Bristol Research (University of Bristol) (publishedVersion, cc-by)
  • Explore Bristol Research (publishedVersion, cc-by)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
  • e-space (Manchester Metropolitan University) (submittedVersion)
  • Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
  • Nottingham ePrints (University of Nottingham) (submittedVersion, cc-by)
Funders
Manchester Metropolitan University
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
bone mineral density, endurance runners, older athletes, hip bone density, spine bone density, jump power, body composition, sex differences, osteoporosis prevention, skeletal health
MeSH terms
Endurance Training, Aged, Analysis of Variance, Body Composition, Female, Humans, Male, Pelvic Bones, Physical Endurance, Running, Spine, Cohort Studies, Absorptiometry, Photon, Bone Density

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