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Breaking3: Performance Characteristics Of A Sub-three-hour Septuagenarian Marathoner

2019· article· en· W2954464108 on OpenAlexaboutno aff
Austin T. Robinson, Joseph C. Watso, Matthew C. Babcock, Michael J. Joyner, William B. Farquhar

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2019
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsnot available
Fundersnot available
KeywordsAeronauticsGeologyEngineering

Abstract

fetched live from OpenAlex

PURPOSE: In this case study we characterize the physiological profile of an elite 70-year old endurance runner who ran 2:55:18 at the Scotiabank Toronto Marathon on Oct 21, 2018, breaking his own American record for a 70-year old male by over two-minutes. METHODS: The athlete underwent a familiarization visit, health screening, and performance-testing. During the screening visit, a resting electrocardiogram and a fasted venous blood sample for biochemical analysis were obtained, and dual energy X-ray absorptiometry was performed to assess body composition. Performance testing consisted of graded treadmill running and indirect calorimetry for determination of maximum oxygen uptake (V̇O2Max), running economy testing (RE; 12-16 km/hr, 0% grade, 5 minutes each), and lactate threshold (LT; blood draws during running via venous catheter). RESULTS: Height was 176.5 cm, weight was 64.2 kg, and he exhibited exceptional cardiometabolic health for his age (body fat: 19.1%, blood pressure: 122/75 mmHg, blood glucose: 86 mg/dL, total cholesterol: 173 mg/dL, LDL: 84 mg/dL, HDL: 66 mg/dL, and triglycerides: 135 mg/dL). The only medication he reported taking was daily low-dose aspirin. His VO2Max was 46.9 mL/kg/min (max heart rate: 156, 104% age-predicted HRMax, RPE 19 out of 20). This VO2Max is exceptional for a 70-year old, but lower than what is expected for a performance-matched younger runner. He reached his LT at ~14 km/hr, which corresponded, to a VO2 of 44.0 mL/kg/min or 93.8% of his VO2Max, and a heart rate of 147, or 94% of HRMax. Near VO2Max levels of oxygen consumption were reached during the final stage of RE testing (16 km/hr, 46.0 mL/kg/min) and blood lactate also plateaued at 14.4 mmol/l. Running economy at the submaximal speeds was comparable to elite younger runners. CONCLUSION: Running a marathon in 2:55:18 requires a running speed of ~14.5 km/hr, a speed which is faster than this elite masters athlete’s laboratory-measured LT speed (14km/hr). Our data indicate that his ability to maintain a remarkably high percentage of his measured VO2Max (>90%) enable him to compete with performance-matched younger runners who have much higher VO2Max values.

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)0.000
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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.222
Teacher spread0.214 · 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 designCase report
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".

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Citations0
Published2019
Admission routes1
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