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Record W6884305070 · doi:10.1007/s11332-025-01472-0

The effect of asymmetric lifting tasks on hemidiaphragm movement: a cross-sectional study

2025· article· en· W6884305070 on OpenAlexaff

Bibliographic record

VenueSport Sciences for Health · 2025
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsCanadian Chiropractic Association
Fundersnot available
KeywordsExpirationExcursionHuman physiologyLung volumesWeight liftingTidal volumeBody positionBody weight

Abstract

fetched live from OpenAlex

Abstract Purpose The aim of this study was to determine whether lifting a weight with the left or right hand has a different effect on the right hemidiaphragm. Methods This study investigated the motion of the right hemidiaphragm during asymmetric lifting tasks using M-mode ultrasonography. Forty healthy adults (30 women and 10 men, aged 27.6 ± 5.4 years) performed tidal breathing and loaded breathing, with the latter involving lifting a weight with either the left or right hand. Results Using one-way ANOVAs, significant differences were observed for the right hemidiaphragmatic position when holding the weight with the contralateral (left) hand for inspiration ( p = .004) and total excursion ( p < 0.001), but not for expiration (p = 0.872) compared to tidal breathing. When tidal breathing positions were compared to holding the weight with the ipsilateral (right) hand, significant differences were observed for all three measures: inspiration ( p = 0.005), expiration ( p < 0.001), and total excursion ( p = 0.023). Comparison of the right hemidiaphragmatic position during contralateral and ipsilateral holds showed significant differences in expiration ( p < 0.001) and total excursion ( p < .001), but not for inspiration (p = 0.997). Conclusion The right hemidiaphragm showed different responses during one-handed weight lifting on the ipsilateral side compared to the contralateral side. Specifically, under ipsilateral loading, the expiratory position of the right hemidiaphragm was observed to be more caudal.

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)0.006
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 score0.011
Threshold uncertainty score0.592

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.020
GPT teacher head0.414
Teacher spread0.394 · 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
Published2025
Admission routes1
Has abstractyes

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