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Record W4404312406 · doi:10.1016/j.envint.2024.109076

Lower chlorinated PCBs accumulate in demolition workers while working on a contaminated worksite

2024· article· en· W4404312406 on OpenAlexaff
Stephanie C. Hammel, Vivi Schlünssen, Mike Dereviankin, Courtney D. Sandau, Karin Sørig ­Hougaard, Harald William Meyer, Pete Kines, Keld Alstrup Jensen, Marie Frederiksen

Bibliographic record

VenueEnvironment International · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsMount Royal University
FundersArbejdstilsynet
KeywordsDemolitionContaminationEnvironmental scienceWaste managementOccupational exposureEnvironmental healthEnvironmental chemistryEngineeringChemistryMedicineCivil engineeringBiology

Abstract

fetched live from OpenAlex

• Two-year biomonitoring study with demolition workers at a PCB-contaminated site. • 209 congeners in serum were compared to general demolition and office workers. • Demolition workers on PCB-site had elevated lower chlorinated PCBs after 1 year. • Age was a significant predictor of increases in serum PCBs. Several buildings in a Danish social housing estate exceeded indoor air guidance values for polychlorinated biphenyls (PCBs), leading to their demolition. Here, we conducted a biomonitoring study among the workers on-site (n = 24) to evaluate their exposure to all 209 PCBs across the two-year demolition. We compared their PCB serum concentrations and accumulation to those of demolition workers at other worksites (n = 21) and office workers (n = 17). Demolition workers were provided with personal protective equipment according to risk assessments for PCB-related work. Serum PCBs were measured from baseline and up to two annual follow-up visits using gas chromatography high-resolution mass spectrometry. Forty-six peaks representing 58 PCBs were detected in > 60 % of serum samples; eight congeners were found in every sample. PCB-153 was the most abundant congener (median = 22.1 ng/g lipid). After adjusting for age and smoking status, demolition workers after one year on the contaminated site experienced more than a four-fold increase in all lower chlorinated PCBs compared to office workers at baseline, with increases most prominent for tri- and tetra-CBs (10 β = 6.2 and 9.2, p < 0.01). Nine PCBs were significantly elevated from baseline to year 1 in only contaminated-site demolition workers, with the largest increase observed for PCB-66/80. For higher chlorinated PCBs, levels remained consistent or decreased slightly over the three samples from these workers. Those who worked in active demolition for at least 4 years at baseline experienced a 40 % increase (95 % CI: 10 %, 90 %) in the WHO-12 PCB sum. Age significantly predicted increases in PCBs, which tracked closely with logK ow values. Our study showed that despite safety measures, demolition workers who worked on a PCB-contaminated site experienced increased and accumulating internal exposure to lower chlorinated PCBs compared to general demolition and office workers. Consequently, workers’ safety should be carefully considered to reduce exposures among this high risk group.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.246
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), 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

Citations5
Published2024
Admission routes1
Has abstractyes

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