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Record W6963232786 · doi:10.20381/ruor-29556

Iron and Vitamin D Status in Female Gee-Gees Varsity Athletes

2023· article· en· W6963232786 on OpenAlexaboutno aff

Bibliographic record

VenueuO Research (University of Ottawa) · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Ecology and Soil Science
Canadian institutionsnot available
Fundersnot available
KeywordsAthletesVitamin D and neurologyIron deficiencyAnemiaVitaminvitamin D deficiency

Abstract

fetched live from OpenAlex

The main objective of this study was to measure the nutritional status of iron and vitamin D in varsity female athletes from the University of Ottawa and the possible relationship with their dietary patterns (mixed diet or plant-based diet). Among 63 athletes interested in participating, 17 completed the study. Nutritional intakes were assessed during sports season using two 24-hour recalls with the self-administered dietary assessment tool (ASA24). A blood sample was taken to measure indicators of iron and vitamin D status. The results revealed that 5% of the athletes suffered from vitamin D deficiency and as much as 47% had suboptimal vitamin D levels. No athletes suffered from iron deficiency anemia (IDA), but 26% had iron deficiency (ID). The vitamin D intake for 94% of athletes was below the estimated average requirements (EAR) and the use of supplements helped athletes attain the EAR. In contrast, 94% of athletes were able to meet the EAR for iron and the use of supplements caused athletes to exceed upper limits (UL). Lastly, due to the small number of plant-based athletes recruited, it was not possible to establish any relationships with this dietary pattern.

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 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)0.001
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 score0.017
Threshold uncertainty score0.843

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.269
Teacher spread0.236 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

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