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Cited by 6Bone health and osteoporosis researchPhysical Activity and HealthSports Performance and Training

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

Association between long-term exercise with different osteogenic index, dietary patterns, body composition, biological factors, and bone mineral density in female elite masters athletes

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Abstract

This study evaluated the association between long-term exercise with different osteogenic index, dietary patterns, body composition, biological factors, and bone mineral density (BMD) in 199 female elite masters athletes endurance athletes (EA), speed-power athletes (SPA), and throwing athletes (TA). Bone parameters in the distal (dis) and proximal (prox) parts of the forearm were measured by densitometry. Body compositions were analyzed using bioelectrical impedance analysis. Biological factors and lifetime bone fracture status were rated via face-to-face interviews. Dietary patterns and usual dietary intake were assessed using a semiquantitative NHANES Food Frequency Questionnaire. In female elite masters athletes the main parameters affecting BMD dis were age at menopause (small effect: η² = 0.03), number of fractures (small effect: η² = 0.05), number of dairy products per day (small effect: η² = 0.05), type of dietary pattern (small effect: η² = 0.04) and sport competition, type by OI (small effect: η² = 0.03). BMD prox was affected by age at menarche (medium effect: η² = 0.096), age at menopause (large effect: η² = 0.12), past fractures (small effect: η² = 0.02), dairy product (large effect: η² = 0.13), type of dietary pattern (small effect: η² = 0.04) and sports competition (medium effect: η² = 0.06). In both groups of women, EA and SPA dietary pattern with high intake of fruit, vegetables, dairy products, whole grains, poultry, fish, nuts, and legumes had a greater mean BMD. In contrast, in the TA group dietary pattern with lactose-free, and gluten-free determined higher mean BMD. Late menarche determined higher mean BMD in all groups of women, especially in TA. Physical activity helps maintain bone mineralization during aging. The long-term effects of athletic training, especially exercises such as throwing, have been confirmed in these studies. It is therefore worth considering popularizing these exercises for healthy aging.

Overview

CoChat Summary

TL;DR

This cross-sectional study of 199 female elite masters athletes found that forearm bone mineral density and content differed by sport type, with throwing athletes showing higher bone parameters than endurance and speed-power athletes. Biological factors, dairy intake, dietary pattern, fractures, and sport category were associated with forearm BMD, with dietary pattern interactions differing between athlete groups.

Key findings

  • Throwing athletes (TA) had significantly greater bone parameters than endurance athletes (EA) and speed-power athletes (SPA): BMD distal was 0.371 ± 0.09 vs 0.302 ± 0.06 and 0.305 ± 0.07 g/cm²; BMD proximal was 0.746 ± 0.14 vs 0.685 ± 0.12 and 0.682 ± 0.11 g/cm².
  • In ANCOVA, BMD proximal was affected by age at menarche (medium effect: η² = 0.096), age at menopause (large effect: η² = 0.12), past fractures (small effect: η² = 0.02), dairy product intake (large effect: η² = 0.13), dietary pattern type (small effect: η² = 0.04), and sport competition type by osteogenic index (medium effect: η² = 0.06); BMD distal was affected by age at menopause (η² = 0.03), fractures (η² = 0.05), dairy products per day (η² = 0.05), dietary pattern (η² = 0.04), and sport competition (η² = 0.03).
  • In EA and SPA, dietary pattern no. 3 (high intake of fruit, vegetables, dairy products, whole grains, poultry, fish, nuts, and legumes) had greater mean BMD and BMC; in TA, dietary pattern no. 2 (lactose-free, gluten-free) determined higher mean BMD and BMC. Late menarche determined higher mean BMD in all groups, especially TA.
  • The desired proximal forearm BMD value (T-score −1.0 or above) occurred significantly more often in TA than in EA by 22.3% and SPA by 30.4%.

Methods

  • Cross-sectional study of 199 women aged 57.6 ± 11.2 years, elite masters athletes at the World Masters Athletics Indoor Championships (Torun 2023) and European Masters Athletics Championships Indoor (Torun 2024), divided into endurance athletes (EA), speed-power athletes (SPA), and throwing athletes (TA).
  • Forearm BMC, BMD, and T-score were measured by dual-energy X-ray absorptiometry at distal and proximal regions of interest; body composition was analyzed by bioelectrical impedance analysis; biological factors and lifetime fracture status were collected by face-to-face interviews; dietary intake and patterns were assessed using a semiquantitative NHANES Food Frequency Questionnaire and factor/cluster analysis into four dietary patterns.
  • Analyses included ANOVA with Bonferroni post hoc tests, chi-square tests, ANCOVA with age as a continuous variable, and two-way ANOVA; effect sizes were calculated as eta-squared (η²), with VIF, White, and Durbin-Watson tests also reported; statistical significance was set at α < 0.01 and α < 0.001.

Limitations

  • The paper states a relatively small number of female athletes studied after participating in sports competition, notes that BMD accounts for almost 70% of bone strength with bone quality accounting for the remaining 30%, and says the study’s homogeneity (Caucasian, European origin) limits applicability to broader populations; exclusion criteria may also restrict results to specific athlete groups.
  • Evident from the text: the cross-sectional design cannot establish causality, dietary and biological data relied on self-reported interviews/FFQ, and bone outcomes were measured only at the forearm rather than other skeletal sites.

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Integrity signals

Registry

Crossref · 10.1038/s41598-025-93891-9

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

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Figures

Fig. 1 Relationships of sport competition category and type of dietary pattern with BMD (mean dis and prox), Dietary pattern: no.1- traditional diet/normal diet; no.2- lactose-free, gluten-free; no. 3- high intake of fruit, vegetables, dairy products, whole grains, poultry, fish, nuts and legumes; no.4.- vegan, vegetarian; (results two-way ANOVA; F = 4.509; p = 0.0003; η2 = 0.13; vertical lines − 0.95 CI - confidence intervals)
Fig. 1 Relationships of sport competition category and type of dietary pattern with BMD (mean dis and prox), Dietary pattern: no.1- traditional diet/normal diet; no.2- lactose-free, gluten-free; no. 3- high intake of fruit, vegetables, dairy products, whole grains, poultry, fish, nuts and legumes; no.4.- vegan, vegetarian; (results two-way ANOVA; F = 4.509; p = 0.0003; η2 = 0.13; vertical lines − 0.95 CI - confidence intervals)CC BY-NC-ND · PubMed Central
Fig. 2 Relationships of sport competition category and type of dietary pattern with BMC (mean dis and prox), Dietary pattern: no.1- traditional diet/normal diet; no.2- lactose-free, gluten-free; no. 3- high intake of fruit, vegetables, dairy products, whole grains, poultry, fish, nuts and legumes; no.4.- vegan, vegetarian; (results two-way ANOVA; F = 2.590; p = 0.0196; η2 = 0.08; vertical lines − 0.95 CI - confidence intervals)
Fig. 2 Relationships of sport competition category and type of dietary pattern with BMC (mean dis and prox), Dietary pattern: no.1- traditional diet/normal diet; no.2- lactose-free, gluten-free; no. 3- high intake of fruit, vegetables, dairy products, whole grains, poultry, fish, nuts and legumes; no.4.- vegan, vegetarian; (results two-way ANOVA; F = 2.590; p = 0.0196; η2 = 0.08; vertical lines − 0.95 CI - confidence intervals)CC BY-NC-ND · PubMed Central
Fig. 3 Relationships of sport competition category and age at menarche category with BMD (mean dis and prox), (results two-way ANOVA; F = 2.4106; p = 0.0506; η2 = 0.05; vertical lines − 0.95 CI - confidence intervals).
Fig. 3 Relationships of sport competition category and age at menarche category with BMD (mean dis and prox), (results two-way ANOVA; F = 2.4106; p = 0.0506; η2 = 0.05; vertical lines − 0.95 CI - confidence intervals).CC BY-NC-ND · PubMed Central
Fig. 4 Relationships of sport competition category and age at menarche category with BMC (mean dis and prox), (results two-way ANOVA; F = 2.9805; p = 0.0204; η2 = 0.06; vertical lines − 0.95 CI - confidence intervals).
Fig. 4 Relationships of sport competition category and age at menarche category with BMC (mean dis and prox), (results two-way ANOVA; F = 2.9805; p = 0.0204; η2 = 0.06; vertical lines − 0.95 CI - confidence intervals).CC BY-NC-ND · PubMed Central

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Citations

Cites

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Research works printed but not linked: 2

  1. Kopiczko, A. Factors affecting bone mineral density in young athletes of different disciplines: a cross-sectional study. Arch. Budo Sci. Martial Art Extreme Sport 19, 75–84 (2023).
  2. Hall, J. G., Allanson, J. E., Gripp, K. W. & Slavotinek, A. M. Handbook of Physical Measurements (Oxford University Press, 2007).

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Metadata

Authors
Kopiczko, A., Bałdyka, J., Adamczyk, J. G., Nyrć, M., & Gryko, K.
Affiliations
Józef Piłsudski University of Physical Education in Warsaw (PL)
Corresponding author
Kopiczko, Anna
Venue
Scientific Reports
Published
2025-03-17
Volume
15
Issue
1
Pages
9167-9167
ISSN
2045-2322 (ISSN-L)
OpenAlex
W4408524584
Cited by
6
References
54
Citations by year
2026: 2 · 2025: 4
FWCI
4.22
Type
journal article
Language
en
Open access
Licence
Locations
  • Scientific Reports (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
  • Health Sciences › Medicine › Orthopedics and Sports Medicine › Sports Performance and Training
Keywords
bone mineral density, endurance athletes, throwing athletes, dietary habits, dairy consumption, age at menarche, age at menopause, bone fractures, body composition, forearm bones, healthy aging
MeSH terms
Adult, Body Composition, Diet, Female, Humans, Middle Aged, Osteogenesis, Exercise, Bone Density, Athletes

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CoChat. (2026). Citation check: Association between long-term exercise with different osteogenic index, dietary patterns, body composition, biological factors, and bone mineral density in female elite masters athletes. https://app.cochat.ai/papers/10.1038/s41598-025-93891-9
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Kopiczko, A., Bałdyka, J., Adamczyk, J. G., Nyrć, M., & Gryko, K. (2025). Association between long-term exercise with different osteogenic index, dietary patterns, body composition, biological factors, and bone mineral density in female elite masters athletes. Scientific Reports. https://doi.org/10.1038/s41598-025-93891-9

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