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Record W2044146791 · doi:10.1139/h02-032

Physical Fitness in Young College Men and Women

2002· article· en· W2044146791 on OpenAlexaffabout
Angelo Tremblay, Luc Chiasson

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2002
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsWaistPercentilePhysical fitnessMedicineDemographyAerobic exerciseTest (biology)Physical therapyCardiovascular fitnessGerontologyCircumferenceFitness testObesityInternal medicineBiologyMathematics

Abstract

fetched live from OpenAlex

This study was designed to investigate fitness characteristics of college women and men (n = 427 and 423, respectively) aged 17-20 years whose values were compared to the data of the 1981 Canada Fitness Survey (CFS). Muscular fitness as revealed by the maximal number of arm extensions (push ups) was lower in subjects of this study compared to those tested in the 1981 CFS. On the other hand, body weight, waist circumference and the sum of five skinfolds were greater in subjects of the present study. These differences between the results of this study and those of the 1981 CFS were particularly pronounced in the upper percentile ranks. The classification of subjects on the basis of the number of grades completed during a step test revealed significant differences in subcutaneous adiposity between fitness subgroups. Reported participation in vigorous physical activities was also predictive of subcutaneous adiposity in men but to a lesser extent than the number of grades completed during a step test. When the number of grades and exercise participation were combined to detect between-group morphological differences, large differences in subcutaneous adiposity were observed in both men and women. This suggests that the effect of vigorous activity and aerobic fitness on adiposity may be much greater than what is generally perceived by health professionals and agencies.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.010
GPT teacher head0.223
Teacher spread0.212 · 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

Citations14
Published2002
Admission routes2
Has abstractyes

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