Sex-specific associations of a ferroalloy metal mixture with motor function in Italian adolescents.

Adolescents Metals Mixtures Motor function Neurodevelopment

Journal

Environmental epidemiology (Philadelphia, Pa.)
ISSN: 2474-7882
Titre abrégé: Environ Epidemiol
Pays: United States
ID NLM: 101719527

Informations de publication

Date de publication:
Aug 2024
Historique:
received: 28 11 2023
accepted: 11 06 2024
medline: 18 7 2024
pubmed: 18 7 2024
entrez: 18 7 2024
Statut: epublish

Résumé

Motor function is critical for children's health, yet remains an understudied neurodevelopmental domain. Exposure to metals has been linked with motor function, but no study has examined the joint effects of metal mixtures. We evaluated cross-sectional associations between a metal mixture and motor function among 569 adolescents (10-14 years old) living near the ferroalloy industry. Concentrations of blood lead, hair manganese, hair copper, and hair chromium were quantified using inductively coupled plasma mass spectrometry. Neuropsychologists administered multiple fine motor function assessments: pursuit aiming, finger tapping, visual reaction time (VRT), and subtests from the Luria Nebraska battery. We estimated associations between motor function and the metal mixture using quantile-based g-computation and multivariable linear regression, adjusting for child age, sex, and socioeconomic status. We explored sex-specific associations in stratified models. Associations between the metal mixture and motor function were mostly null but were modified by sex. We observed a beneficial association among females: a quartile increase in all metals in the mixture was associated with a 2.6% faster average response time on the VRT (95% confidence interval [CI] = -4.7%, -0.5%), driven by Cu and Cr. In contrast, this association was adverse among males ( Results suggest that males may be more susceptible to the adverse effects of metal exposure on motor function during adolescence than females. Future studies, particularly prospective study designs, are warranted to further understand the associations of metal mixtures with motor function.

Sections du résumé

Background UNASSIGNED
Motor function is critical for children's health, yet remains an understudied neurodevelopmental domain. Exposure to metals has been linked with motor function, but no study has examined the joint effects of metal mixtures.
Methods UNASSIGNED
We evaluated cross-sectional associations between a metal mixture and motor function among 569 adolescents (10-14 years old) living near the ferroalloy industry. Concentrations of blood lead, hair manganese, hair copper, and hair chromium were quantified using inductively coupled plasma mass spectrometry. Neuropsychologists administered multiple fine motor function assessments: pursuit aiming, finger tapping, visual reaction time (VRT), and subtests from the Luria Nebraska battery. We estimated associations between motor function and the metal mixture using quantile-based g-computation and multivariable linear regression, adjusting for child age, sex, and socioeconomic status. We explored sex-specific associations in stratified models.
Results UNASSIGNED
Associations between the metal mixture and motor function were mostly null but were modified by sex. We observed a beneficial association among females: a quartile increase in all metals in the mixture was associated with a 2.6% faster average response time on the VRT (95% confidence interval [CI] = -4.7%, -0.5%), driven by Cu and Cr. In contrast, this association was adverse among males (
Conclusions UNASSIGNED
Results suggest that males may be more susceptible to the adverse effects of metal exposure on motor function during adolescence than females. Future studies, particularly prospective study designs, are warranted to further understand the associations of metal mixtures with motor function.

Identifiants

pubmed: 39022189
doi: 10.1097/EE9.0000000000000321
pii: EE-D-23-00071
pmc: PMC11254121
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e321

Informations de copyright

Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no conflicts of interest with regard to the content of this report.

Auteurs

Alexa Friedman (A)

Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.

Samantha Schildroth (S)

Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.

Victoria Fruh (V)

Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.

Maxine H Krengel (MH)

Department of Neurology, Boston University Medical School, Boston, Massachusetts.

Yorghos Tripodis (Y)

Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.

Donatella Placidi (D)

Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.

Roberta F White (RF)

Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.
Department of Neurology, Boston University Medical School, Boston, Massachusetts.

Roberto G Lucchini (RG)

Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy.
Department of Environmental Health Sciences, School of Public Health, Florida International University, Miami, Florida.

Donald R Smith (DR)

Department of Microbiology and Environmental Toxicology, University of California, Santa Cruz, California.

Robert O Wright (RO)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Megan K Horton (MK)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York.

Birgit Claus Henn (B)

Department of Environmental Health, Boston University School of Public Health, Boston, Massachusetts.

Classifications MeSH