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Record W2763840952 · doi:10.1080/24725838.2017.1373168

Muscular Exposures During Standardized Two-Handed Maximal Pushing and Pulling Tasks

2017· article· en· W2763840952 on OpenAlexaff
Amy Yin Man Chow, Nicholas J. La Delfa, Clark R. Dickerson

Bibliographic record

VenueIISE Transactions on Occupational Ergonomics and Human Factors · 2017
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsOntario Tech UniversityUniversity of Waterloo
Fundersnot available
KeywordsIsometric exerciseTrunkAnthropometryElectromyographyPhysical medicine and rehabilitationWork (physics)Task (project management)Physical therapyWaistMuscle strengthMedicinePsychologyEngineeringObesityInternal medicine

Abstract

fetched live from OpenAlex

OCCUPATIONAL APPLICATIONS We found markedly different muscular exposures and external hand force-generating muscle efficiencies when individuals produce maximal pushing and pulling forces in several experimental conditions (e.g., 100 cm versus 150 cm handle height, horizontal verss vertical grip orientation). For the same task characteristics, females produced higher levels of muscle activation and higher ratios of normalized muscle activity to force, which were likely the result of differing anthropometry between sexes. Females thus appear to be at higher risk for muscular overload during push/pull tasks. Pulling at waist height and pushing at shoulder height are recommended when possible, for similar task conditions to those studied. The high prevalence of pushing and pulling tasks in occupational settings enables use of these findings, in concert with traditional strength-based ergonomics assessments, to help protect both males and females from potential musculoskeletal overload.TECHNICAL ABSTRACT Rationale: Pushing and pulling tasks are highly prevalent across occupational settings. Despite increased availability of push and pull strength data, scarce information exists regarding specific muscle-based exposures when performing these tasks in common work configurations, and how these exposures differ between males and females. Purpose: We evaluated the influence of sex and several workplace factors on surface electromyography (EMG)-based exposure estimates during standardized, symmetric, two-handed maximal voluntary isometric push and pull tasks. Methods: Individual muscle and mean EMG activations (i.e., bilaterally and total), as well as weighted EMG to normalized force ratios (wEMG/nForce), were evaluated for seven bilateral shoulder and trunk muscles, in eight experimental conditions. Workplace factors manipulated were exertion direction (push and pull), handle height (100 cm and 150 cm) and handle orientation (vertical and horizontal). Results: For the muscles studied, pushing resulted in nearly twice (∼1.82×) the muscle activation than pulling. Across individual muscles, the largest difference between heights existed bilaterally for the pectoralis major, with pushing at 100 cm resulting in approximately twice the EMG amplitude. When pulling, only the right triceps activity differed between heights (i.e., 40% higher when exerting at 100 cm). Females produced higher normalized muscle activations (i.e., 23% higher across all muscles), and were generally less efficient than males, as indicted by a wEMG/nForce ratio approximately 26% higher than males across all tasks. The wEMG/nForce ratio was always higher when pulling at 150 cm compared to pulling at 100 cm, but handle height did not appear to influence wEMG/nForce when pushing. Conclusions: Females appear to be at a higher risk for muscular overload in the pushing and pulling tasks examined here. Adjusting the height of handles according to the task conditions can be a useful intervention to lower muscular demands.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.024
GPT teacher head0.307
Teacher spread0.282 · 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.

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

Citations7
Published2017
Admission routes1
Has abstractyes

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