Evidence map›Paper›PMID 34682326›Full record

ArticleInternational journal of environmental research and public health2021

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

Abas Shkembi, Kowit Nambunmee, Siripond Jindaphong, Denisse Parra-Giordano, Karla Yohannessen, Pablo Ruiz-Rudolph, Richard L Neitzel, Aubrey Arain

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
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  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Abas ShkembiDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-5398-861X
Kowit NambunmeeUrban Safety Innovation Research Group (USIR), School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.ORCID 0000-0002-6629-7316
Siripond JindaphongUrban Safety Innovation Research Group (USIR), School of Health Science, Mae Fah Luang University, Chiang Rai 57100, Thailand.
Denisse Parra-GiordanoDepartamento de Enfermería, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile.ORCID 0000-0002-9439-2679
Karla YohannessenPrograma de Salud Ambiental, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile.ORCID 0000-0003-4248-0121
Pablo Ruiz-RudolphPrograma de Salud Ambiental, Instituto de Salud Poblacional, Facultad de Medicina, Universidad de Chile, Santiago 8380453, Chile.
Richard L NeitzelDepartment of Environmental Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA.
Aubrey ArainDepartment of Environmental Health and Safety, Oakland University, Rochester, MI 48309, USA.ORCID 0000-0002-7954-0135

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
NIEHS NIH HHS P30 ES017885
6 · The paper itself

Abstract

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 lbs. (6.2%), the use of screwdrivers (4.2%), the use of pliers/scissors (4.2%), repetitive arm motion (3.3%), and 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.

Indexed as

Electronic WasteOccupational ExposureChileHumansLeadRecyclingThailandLeadboosted regression treese-wasteleadmetalsoccupational health

Identifiers

PMID34682326
PMCPMC8535566

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.