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Record W2807295163 · doi:10.5539/gjhs.v10n7p43

Prevalence of Allergic Rhinitis and Individual Prevention Practices Among Textile Workers in Vietnam

2018· article· en· W2807295163 on OpenAlexvenueno aff
Thuc Minh Thi Vu, Maung Zaw, Long Giang Nguyen, Hung Quang Nguyen, Tung Thanh Truong, Ky Minh Le, Trong Nguyen Tuan, Binh Ngo, Phuong Hoang Nguyen, Tung Thanh Tran, Cuong Tat Nguyen, Bach Xuan Tran, Carl A. Latkin, Roger Ho, Cyrus S. H. Ho

Bibliographic record

VenueGlobal Journal of Health Science · 2018
Typearticle
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsnot available
Fundersnot available
KeywordsNoseMedicineTextileEnvironmental healthSurgeryGeography

Abstract

fetched live from OpenAlex

The object of this study is to estimate the pervalence of rhinitis symptoms amongst textile workers and individual prevention practices currently used by workers in textile factories in Vietnam. A cross-sectional study was conducted in two textile garment companies in the Nam Dinh province of Vietnam from May to October 2016. A total of 1082 workers in all stages of the textile production process participated in the study. Itchy nose and sneeze were the most common symptoms (with 46.9% and 46.9%, respectively, followed by itchy (33.2%) and runny nose (24.5%). Duration of cotton dust exposure per day were positively associated with face mask use (OR=1.90; 95% CI= 1.24 - 2.90) regular face mask use (OR=2.5; 95% CI=1.87 – 3.33) and nasal spray before working (OR=4.2; 95% CI=1.49-11.83). A high pervalence of allergic OR is observed amongst textile workers in Vietnam highlighting the need for preventive measures to reduce exposure to cotton dust.

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 score0.027
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.042
GPT teacher head0.385
Teacher spread0.343 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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