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Record W4410221585 · doi:10.1016/j.cdnut.2025.107459

Dietary Protein Intake and Its Associations With Bone Properties Using Peripheral Quantitative Computed Tomography and Dual-Energy X-Ray Absorptiometry in Endurance-Trained Individuals

2025· article· en· W4410221585 on OpenAlex
Silar Gardy, Ali Ibrahim Sevınç, Jennifer Levee, Julia-Rose Linardatos, Andrea R. Josse, Tyler A. Churchward‐Venne, Jenna C. Gibbs

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Developments in Nutrition · 2025
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsMcGill University Health CentreYork UniversityUniversity of WaterlooMcGill University
FundersFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of CanadaFonds de recherche du QuébecRéseau de Recherche en Santé Buccodentaire et Osseuse
KeywordsQuantitative computed tomographyDual energyComputed tomographyDual-energy X-ray absorptiometryMedicinePeripheralTomographyNuclear medicineX-rayBone densityRadiologyBone mineralInternal medicinePhysicsOsteoporosisOptics

Abstract

fetched live from OpenAlex

Background Endurance athletes are at greater risk of compromised bone health due to elevated nutritional demands and high-volume training. Optimal nutritional intake is fundamental to support athlete bone health, and dietary protein is an essential nutrient for the maintenance of bone and muscle tissue. Studies of associations between dietary protein intake and advanced imaging-based measures of bone and muscle health in endurance athletes are limited. Objective To examine the relationships between dietary protein intake and volumetric bone mineral density (vBMD), estimated bone strength (SSI p and BSI), areal BMD (aBMD), and muscle density, cross-sectional area (CSA), and strength in male and female endurance-trained individuals. Methods Fifty healthy young endurance-trained adults completed one-time measures. Peripheral quantitative computed tomography (pQCT) scans assessed tibial trabecular and cortical vBMD, BSI, SSI p , and calf muscle density and CSA. Dual-energy X-ray absorptiometry scans measured aBMD at the lumbar spine (LS) and proximal femur. Dietary protein intake (g·kg BM·day −1 ) was calculated from three-day 24-hour dietary recalls. Results Bivariate analyses found no correlations between total dietary protein intake and pQCT-derived bone and muscle measures. However, protein intake from animal products was correlated with SSI p at the 38% (r = 0.39, p = 0.008) and 66% site (r = 0.44, p = 0.002), cortical vBMD (r = -0.34, p = 0.02) at the 66% site, and muscle CSA (r = 0.57, p <.001). Adjusted regression analyses revealed that higher total dietary protein intake was associated with higher LS aBMD (β = 0.398, p = 0.009). Conclusion Our findings suggest that there are no relationships between total dietary protein intake and pQCT measures in endurance-trained individuals. However, positive relationships were found with protein intake from animal products and tibial SSI p and muscle CSA. Additionally, our results suggest total protein intake explains a small variance in LS aBMD. A future analysis would benefit from stratifying associations by sex.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.342
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it