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Record W2968420140 · doi:10.1113/ep087956

Modelling the effects of age and sex on the resistive and viscoelastic components of the work of breathing during exercise

2019· article· en· W2968420140 on OpenAlexafffund
Yannick Molgat‐Seon, Paolo B. Dominelli, Jordan A. Guenette, A. William Sheel

Bibliographic record

VenueExperimental Physiology · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Obstructive Pulmonary Disease (COPD) Research
Canadian institutionsUniversity of WaterlooUniversity of WinnipegSt. Paul's HospitalUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchBritish Columbia Lung Association
KeywordsViscoelasticityResistive touchscreenAgeingVentilation (architecture)MedicineSex characteristicsPsychologyInternal medicinePhysiologyMaterials sciencePhysicsComposite materialThermodynamicsComputer science

Abstract

fetched live from OpenAlex

New Findings What is the central question of this study? What is the effect of age and sex on the resistive and viscoelastic components of work of breathing ( W b ) during exercise? What is the main finding and its importance? The resistive and viscoelastic components of W b were higher in older adults, regardless of sex. The resistive, but not viscoelastic, component of W b was higher in females than in males, regardless of age. These findings contribute to improving our understanding of the effects of ageing and sex on the mechanical ventilatory response to exercise. Abstract Healthy ageing and biological sex each affect the work of breathing ( W b ) for a given minute ventilation ( ). Age‐related structural changes to the respiratory system lead to an increase in both the resistive and viscoelastic components of W b ; however, it is unclear whether healthy ageing differentially alters the mechanics of breathing in males and females. We analysed data from 22 older (60–80 years, n = 12 females) and 22 younger (20–30 years, n = 11 females) males and females that underwent an incremental cycle exercise test to exhaustion. and W b were assessed at rest and throughout exercise. W b – data for each participant were fitted to a non‐linear equation (i.e. W b = a 3 + b 2 ) that partitions W b into resistive (i.e. a 3 ) and viscoelastic (i.e. b 2 ) components. We then modelled the effects of healthy ageing and biological sex on each component of W b . Overall, the model fit was excellent ( r 2 : 0.99 ± 0.01). There was a significant main effect of age and sex on the resistive component of W b (both P < 0.05), and a significant main effect of age ( P < 0.001), but not sex ( P = 0.309), on the viscoelastic component of W b . No significant interactions between age and sex on a 3 or b 2 were noted (both P > 0.05). Our findings indicate that during exercise: (i) the higher total W b in females relative to males is due to a higher resistive, but not viscoelastic, component of W b , and (ii) regardless of sex, the higher W b in older adults relative to younger adults is due to higher resistive and viscoelastic components of W b .

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.012
GPT teacher head0.261
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations22
Published2019
Admission routes2
Has abstractyes

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