Evidence map›Paper›PMID 33508259›Full record

ArticleEnvironmental research2021

Lead exposure and indices of height and weight in Uruguayan urban school children, considering co-exposure to cadmium and arsenic, sex, iron status and dairy intake.

Carmen M Donangelo, Brendan T Kerr, Elena I Queirolo, Marie Vahter, Fabiana Peregalli, Nelly Mañay, Katarzyna Kordas

Open access · greenAbstract read
In one paragraph

Article in Environmental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 5 institutions in 3 countries.

Carmen M DonangeloEscuela de Nutrición, Universidad de La República, Montevideo, Uruguay.
Brendan T KerrDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA.
Elena I QueiroloDepartmento de Neurocognición, Centro de Investigación Mullin, Universidad Católica Del Uruguay, Montevideo, Uruguay.
Marie VahterDepartment of Environmental Medicine, Karolinska Institutet, Solna, Sweden.
Fabiana PeregalliDepartmento de Neurocognición, Centro de Investigación Mullin, Universidad Católica Del Uruguay, Montevideo, Uruguay.
Nelly MañayDepartmento de Toxicología, Facultad de Química, Universidad de La República, Montevideo, Uruguay.
Katarzyna KordasDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA. Electronic address: kkordas@buffalo.edu.
Universidad Católica del Uruguay · UYUniversidad de la República de Uruguay · UYKaleida Health · USKarolinska Institutet · SEUniversity at Buffalo, State University of New York · US

Funding

Low-level Exposure to Multiple Metals: Effects on Cognition and BehaviorR01ES023423 · NIEHS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI KORDAS, KATARZYNA · 2014 to 2018
$1.3M
Is Low-Level Arsenic Exposure Related to Neurobehavioral Deficits in ChildrenR21ES019949 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI KORDAS, KATARZYNA · 2012 to 2013
$358k
Nutritional and Heavy Metals: Effects on Child Learning and Behavior in UruguayR21ES016523 · NIEHS · PENNSYLVANIA STATE UNIVERSITY, THE · PI KORDAS, KATARZYNA · 2008 to 2009
$262k
NIEHS NIH HHS R01 ES023423NIEHS NIH HHS R21 ES016523NIEHS NIH HHS R21 ES019949
6 · The paper itself

Abstract

Child growth depends on complex factors including diet, nutritional status, socioeconomic, and sanitary conditions, and exposure to environmental chemicals. Lead exposure is known to impair growth in young children but effects in school-age children are less clear. The effects of co-exposure to low-level lead and other toxic metals on child growth are not well understood. We examined cross-sectional associations of blood lead (BLL) with growth indices (Z scores of body mass index for age, BAZ, and height for age, HAZ) in Uruguayan urban school children (n = 259; ~7 y). Potential differences in these associations in children with lower vs. higher urinary inorganic arsenic metabolites (U-As), urinary cadmium (U-Cd), sex (42% girls), iron deficiency (ID, 39% children), or intake of dairy foods below recommended levels were examined. BLL was measured using AAS, U-As using HPLC-HGICP-MS, and U-Cd using ICP-MS. Dietary information was obtained by two 24-h recalls completed by caregivers. Children's linear growth was within age and sex-appropriate reference values. Overweight (BAZ > 1 2 SD) was found in 20.1%, and obesity (BAZ > 2 SD) in 18.5%, of children. Ranges (5th, 95th percentile) of biomarker concentrations were: BLL, 0.8-7.8 μg/dL; U-Cd, 0.01-0.2 μg/L, and U-As, 4.0-27.3 μg/L. BLL was inversely associated with HAZ ([95% CI]: 0.10 [-0.17, -0.03]) in covariate-adjusted models. Although this association was slightly more pronounced in girls, children without ID, and children with lower U-As, there was little evidence of effect modification due to overlapping CIs in stratified models. BLLs were not associated with BAZ, except for a suggestion of a negative relationship in girls (-0.10 [-0.23, 0.02]) but not boys [0.001 [-0.11, 0.12]). Our findings indicate that exposure to low levels of lead was associated with lower HAZ in apparently normally growing urban school children. Larger future studies should help elucidate if these associations persist over time and across populations.

Indexed as

ArsenicCadmiumChildChild, PreschoolCross-Sectional StudiesDairy ProductsEnvironmental ExposureFemaleHumansIronLeadSchoolsArsenicCadmiumIronLeadChildGrowthMetalsSchoolUrban

Identifiers

PMID33508259
PMCPMC10916356
OpenAlexW3122508119

What OpenQuestion holds

Textmetadata
LicenceTDM
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.