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Record W2623427597 · doi:10.25071/2564-4033.40191

Exposure to Video Display Terminals and Associated Neuromuscular Pain and Discomfort in Male and Female Undergraduate University Students

2015· article· en· W2623427597 on OpenAlexaffabout
Ghori Altaf, Wally J. Bartfay, Emma Bartfay, Otto A. Sánchez

Bibliographic record

VenueHealth Tomorrow Interdisciplinarity and Internationality · 2015
Typearticle
Languageen
FieldPsychology
TopicErgonomics and Musculoskeletal Disorders
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsPhysical therapyMedicineNeck painPsychological interventionPsychologyNursingAlternative medicine

Abstract

fetched live from OpenAlex

This paper explores the gender differences with respect to potential negative physical effects associated with prolonged Video Display Terminal (VDT) use. In this cross-sectional survey, we distributed self- reported health questionnaire along with the Nordic Musculoskeletal Questionnaire (NMQ) to 278 University of Ontario students (95 males and 183 females, aged between 17-32 years) in Oshawa, Ontario, Canada. Results showed that female students suffered more pain/discomfort in the neck/shoulder/hand and wrist (64.1%) in comparison to males (45.7%). Location of pain was also different in female students when compared to male students. This study provides preliminary evidence to suggest that female UOIT students experienced increased negative health effects on exposure to VDTs in comparison to male students. This study will help facilitate more targeted interventions towards millennials and assist them in reducing pain/discomfort they may experience when using devices with VDTs.

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)0.002
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 score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.031
GPT teacher head0.354
Teacher spread0.322 · 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

Citations2
Published2015
Admission routes2
Has abstractyes

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