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Record W7017894135

Can resistance training reach moderate exercise intensity in older adults and overweight adults?

2015· dissertation· en· W7017894135 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsOverweightResistance trainingIntensity (physics)Aerobic exerciseYoung adultExercise intensityPhysical activity
DOInot available

Abstract

fetched live from OpenAlex

Problem: Mostly attributed to lack of time, only about 15% of Canadian adults are currently reaching the Canadian Physical Activity Guidelines (CPAG). Recently, studies have suggested that any bout of aerobic exercise reaching moderate to vigorous intensity has the potential to improve health. Methods: Sixty adults (20 young non-overweight adults, 20 overweight adults, 20 older adults) already doing some resistance training (RT) were recruited. Participants performed eight RT exercises during three visits. The objective was to identify the proportion of time spent at moderate to vigorous intensity during RT sessions. Results: Overall, the participants were at moderate to vigorous intensity during 82% of the time. However, the older adult group compared to the young adult group spent lower proportion of time at moderate to vigorous intensity during RT sessions. Conclusion: Most Canadian adults can reach HR equivalent to those achieved during moderate to vigorous aerobic activity by doing RT.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.547
Threshold uncertainty score0.912

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.226
Teacher spread0.213 · 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
Published2015
Admission routes2
Has abstractyes

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