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Work Task Association with Lead Urine and Blood Concentrations in Informal Electronic Waste Recyclers in Thailand and Chile

Datos Bibliográficos

ID15465890
AutoresAbas Shkembi (0000-0002-5398-861X, University of Michigan), Kowit Nambunmee (0000-0002-6629-7316, Mae Fah Luang University), Siripond Jindaphong (Mae Fah Luang University), Denisse Parra-Giordano (0000-0002-9439-2679, University of Chile), Karla Yohannessen (0000-0003-4248-0121, Instituto de Salud Pública de Chile), Pablo Ruiz-Rudolph (0000-0001-7872-2546, Instituto de Salud Pública de Chile), Richard Neitzel (0000-0001-5500-2589, University of Michigan), Aubrey L Arain (0000-0002-7954-0135, Oakland University, autor de correspondencia)
Año2021
Volumen18
Número20
Páginas10580-10580
Fecha de publicación2021-10-09
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores de la revistaISSN: 1661-7827 • E-ISSN: 1660-4601
EditorialMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph182010580
PMID34682326
OpenAlexW3206616297
IdiomaEN
Referencias citadas4

The informal recycling of electronic waste ("e-waste") is a lucrative business for workers in low- and middle-income countries across the globe. Workers dismantle e-waste to recover valuable materials that can be sold for income. However, workers expose themselves and the surrounding environment to hazardous agents during the process, including toxic metals like lead (Pb). To assess which tools, tasks, and job characteristics result in higher concentrations of urine and blood lead levels among workers, ten random samples of 2 min video clips were analyzed per participant from video recordings of workers at e-waste recycling sites in Thailand and Chile to enumerate potential predictors of lead burden. Blood and urine samples were collected from participants to measure lead concentration. Boosted regression trees (BRTs) were run to determine the relative importance of video-derived work variables and demographics, and their relationship with the urine and blood concentrations. Of 45 variables considered, five job characteristics consisting of close-toed shoes (relative importance of 43.9%), the use of blunt striking instruments (14%), bending the back (5.7%), dismantling random parts (4.4%), and bending the neck (3.5%) were observed to be the most important predictors of urinary Pb levels. A further five job characteristics, including lifting objects 20 pounds (3.2%) were observed to be among the most important factors of blood Pb levels. Overall, our findings indicate ten job characteristics that may strongly influence Pb levels in e-waste recycling workers' urine and blood

Biology · Confidence interval · Electronic waste · Environmental health · Urine · Waste management · Work (physics · Engineering · Environmental Science · Healthcare and Environmental Waste Management · Heavy Metal Exposure and Toxicity · Medicine · Recycling and Waste Management Techniques · Internal Medicine · Toxicology

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  • Health Assessment of Electronic Waste Workers in Chile

    Open Access•Karla Yohannessen, Daniela Pinto-Galleguillos et al.•International Journal of…•2019

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