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Record W4417326404 · doi:10.3390/nu17243902

Effects of Greek Yogurt Supplementation and Exercise on Markers of Bone Turnover and Inflammation in Older Adult Exercisers: An 8-Week Pilot Intervention Trial

2025· article· en· W4417326404 on OpenAlexafffund
Madison Bell, Pedro Henrique Narciso, Elizabeth Baker, Bareket Falk, Brian D. Roy, Andrea R. Josse, Panagiota Klentrou

Bibliographic record

VenueNutrients · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMuscle metabolism and nutrition
Canadian institutionsThompson Rivers UniversityYork UniversityMcMaster UniversityBrock University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPilot trialBone remodelingInflammationImmune systemPsychological interventionIntervention (counseling)Bone healthPhysical activityBone density

Abstract

fetched live from OpenAlex

Background/Objectives: This 8-week randomized pilot intervention trial examined the effects of Greek yogurt (GY) supplementation on markers of bone turnover and inflammation in older adult exercisers. Methods: A total of 48 participants aged 55+ completed this 8-week intervention: 33 exercisers randomized to exercisers receiving GY (GYEX, n = 18, 12 females) and exercisers without GY (NYEX, n = 15, 12 females), and a group of 15 age-matched, community-dwelling, non-exercisers also receiving GY (GYNE, n = 15, 10 females). Exercisers were enrolled in a moderate-intensity community-based exercise program. GYEX and GYNE supplemented their diet with two daily servings of 175 g of GY (17 g protein, 225 mg calcium per serving). Assessments at baseline and week 8 included dietary intake, body composition, and fasting blood samples for bone markers and pro-inflammatory cytokines. Results: Body mass increased modestly across groups (time effect, p = 0.033), with no changes in body fat. C-terminal telopeptide of type I collagen (bone resorption marker) increased 14% in GYEX (time × group interaction, p = 0.022). Osteoprotegerin (bone formation regulator) decreased overall by 4% (time effect, p = 0.002). Dickkopf-1 (bone formation inhibitor) increased by 13% (p = 0.008) in GYNE but not in exercisers (time × group interaction, p = 0.018). Interleukin 1β and interleukin 6 showed significant interactions (p = 0.043 and p = 0.023), where interleukin 1β increased by 80% (p = 0.007) and interleukin 6 decreased by 89% (p < 0.001) in GYNE, but remained stable in exercisers. Tumor necrosis factor alpha remained unchanged. Conclusions: Although the observed effects of GY on the assessed biomarkers were limited and should be interpreted cautiously due to pilot design and statistical constraints, they highlight the need for longer interventions to determine whether whole-food dairy proteins can meaningfully support skeletal and immune health in older adults.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.006
GPT teacher head0.255
Teacher spread0.249 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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