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Record W4324137889 · doi:10.1136/oem-2023-epicoh.47

O-206 Determinants of e-waste workers’ intention to wear respiratory protective equipment at work in Hong Kong

2023· article· en· W4324137889 on OpenAlex
Gengze Liao, Feng Wang, Shaoyou Lu, Yanny Hoi Kuen Yu, Victoria H Arrandale, Alan Chan Hoi-shou, Lap Ah Tse

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAbstracts · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersBritish Columbia Centre for Disease ControlKarolinska InstitutetSahlgrenska UniversitetssjukhusetUniversità Degli Studi di Modena e Reggio EmilaAarhus UniversitetshospitalAarhus UniversitetGentofte HospitalDeutsche Gesetzliche UnfallversicherungBoston College
KeywordsCronbach's alphaConfirmatory factor analysisExploratory factor analysisEnvironmental healthBayesian multivariate linear regressionScale (ratio)Occupational safety and healthPsychologyStructural equation modelingMedicineRegression analysisClinical psychologyStatisticsPsychometricsGeographyMathematics

Abstract

fetched live from OpenAlex

a:2:{s:4:"lang";s:2:"en";s:7:"content";s:2085:"<h3>Introduction</h3> E-waste workers in Hong Kong are exposed to more chemicals because more e-waste needs to be handled locally. However, studies suggested that many e-waste workers are unwilling to wear respiratory protective equipment (RPE) for different reasons. This study aimed to identify the determinants of e-waste workers’ intention to wear RPE in Hong Kong. <h3>Material and Methods</h3> We recruited 109 e-waste workers from June 2021 to September 2022. A workplace RPE intention scale (WRPIEs) was developed based on validated Robertsen’s RPE behavior intention model and Hong Kong Occupational Safety Culture Index. The WRPIEs was consolidated by exploratory factor analysis and further enhanced by confirmatory factor analysis. Multivariate linear regression was used to test the association between the identified domain factors and the intention to use RPE at work. <h3>Results</h3> Most of the participants were aged over 40 years (76%), had middle school or below educational degrees (83%), wore RPE (94%) at work, and had increased time of wearing RPE after the Covid-19 pandemic (69%). Four domain factors (containing 17 manifest variables) were confirmed, including ‘subjective norms (SN)’, ‘supportive working conditions (SWC)’, ‘autonomy’, and ‘occupational safety and health’. The enhanced WRPIEs had good indices in internal consistency reliability (Cronbach’s α ranged: 0.78–0.94), good composite reliability (range: 0.79–0.95), and model fit (SRMR=0.05, RMSEA=0.03, CFI=0.99). Among the identified domain factors, SN (β=0.36) and SWC (β=0.30) significantly increased e-waste workers’ intention to wear RPE at the workplace. <h3>Conclusions</h3> This newly validated WRPIEs scale can help capture Chinese e-waste workers’ intention to wear RPE. Results from this study also suggested that various stakeholders could enhance SN and SWC to facilitate workers’ willingness to wear PPE. (Acknowledgements: GRF/RGC-165056653 &amp; VCDFIII-136366853. Ethics approval: CREC 2020.039; *shelly{at}cuhk.edu.hk) ";}

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.071
GPT teacher head0.330
Teacher spread0.260 · 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