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Record W4401237326 · doi:10.11836/jeom21366

Effects of hand-transmitted vibration on upper limbs of workers: A meta-analysis

2022· article· en· W4401237326 on OpenAlexaboutno aff
Yanxia Jia, M. L. Yan, Hanjun Zheng, Danying Zhang, Bin Xiao

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2022
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsnot available
Fundersnot available
KeywordsVibrationMeta-analysisStructural engineeringAcousticsPhysical medicine and rehabilitationMedicineMathematicsPhysicsEngineeringInternal medicine

Abstract

fetched live from OpenAlex

BackgroundHand arm vibration disease (HAVD) is one of the legal occupational diseases in China, and its pathogenesis is not clear. Operators exposed to electric vibration tools for a long time have an increased risk of HAVD.ObjectiveTo conduct a systematic evaluation of the effects of vibration operations on workers' upper limb nerves, blood vessels, and muscles.MethodsRelevant studies on the effects of hand-transmitted vibration on HAVD were searched and collected from the China Knowledge Infrastructure, Wanfang, and PubMed databases, and the literature was published from January 1974 to April 2021. The quality of cohort and case-control studies was assessed by the Newcastle-Ottawa Scale (NOS), and the quality of cross-sectional studies was by the evaluation criteria recommended by the Agency for Healthcare Quality and Research (AHRQ). Statistical analyses of outcome indicators (OR) in the included literature were performed using RevMan 5.4.1 software, effect sizes in the literature on vibration-induced white finger and neurosensory impairment were combined using a random-effect model, those that included carpal tunnel syndrome were combined using a fixed-effect model, and subgroup and publication bias analyses were also performed. To explore sources of study heterogeneity, meta-regression was performed using Stata 16.0 software, and sensitivity analyses were performed on the included literature.ResultsA total of 716 papers were retrieved from the databases, and 18 articles were retrieved by manual searching. A total of 34 papers were included after excluding those not meeting the criteria. Of the papers, 11004, 7270, and 1722 subjects related to vibration-induced white finger, neurosensory impairment, and carpal tunnel syndrome, respectively. The results of meta-analysis showed that compared with the control group, the combined ORs of hand-transmitted vibration exposure were 4.25 (95%CI: 2.72−6.65) for vibration-induced white finger, 4.03 (95%CI: 2.46−6.61) for neurosensory impairment, and 2.44 (95%CI: 1.61−3.71) for carpal tunnel syndrome. Heterogeneity was identified in the original studies related to vibration-induced white finger (I2=81%, P < 0.001) and neurosensory impairment (I2=90%, P < 0.001), except carpal tunnel syndrome (I2=23%, P < 0.001). The results of sensitivity analysis showed that the combined effect sizes (ORs) were stable and reliable. The results of meta-regression showed that the factors contributing to high heterogeneity of combined vibration-induced white finger and neurosensory impairment were time of publication (t=−2.10, P=0.049) and working age (t=−2.40, P=0.032), respectively.ConclusionHand-transmitted vibration is a risk factor for vibration-induced white finger, neurosensory impairment, and carpal tunnel syndrome in operators.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0030.004
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0200.000

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 head0.248
GPT teacher head0.554
Teacher spread0.306 · 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 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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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