Exposure to a Mixture of Endocrine-Disrupting Chemicals and Metabolic Outcomes in Belgian Adolescents

Childhood exposure to endocrine-disrupting chemicals (EDCs), either alone or in mixtures, may affect metabolic outcomes, yet existing evidence remains inconclusive. In our study of 372 adolescents from the Flemish Environment and Health Study (FLEHS IV, 2017–2018), we measured 40 known and suspected EDCs and assessed metabolic outcomes, including body mass index z -score (zBMI), abdominal obesity (AO), total cholesterol (TC), and triglycerides (TG). We applied Bayesian kernel machine regression (BKMR) and Bayesian penalized horseshoe regression for variable selection and then built multivariat... Mehr ...

Verfasser: Anran Cai
Sylvie Remy
Virissa Lenters
Bianca Cox
Greet Schoeters
Adrian Covaci
Roel Vermeulen
Lützen Portengen
Dokumenttyp: Text
Erscheinungsdatum: 2023
Schlagwörter: Physiology / Ecology / Sociology / Biological Sciences not elsewhere classified / Chemical Sciences not elsewhere classified / measured 40 known / elevated lipid levels / assessed metabolic outcomes / metabolic outcomes / z </ / variable selection / suspected edcs / selected edcs / prior studies / monoethyl phthalate / monobenzyl phthalate / flemish environment / flehs iv / findings support / disrupting chemicals / certain chemicals / butyl phthalate / >- score / 372 adolescents
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-27094566
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.1021/acs.est.3c07607.s001

Childhood exposure to endocrine-disrupting chemicals (EDCs), either alone or in mixtures, may affect metabolic outcomes, yet existing evidence remains inconclusive. In our study of 372 adolescents from the Flemish Environment and Health Study (FLEHS IV, 2017–2018), we measured 40 known and suspected EDCs and assessed metabolic outcomes, including body mass index z -score (zBMI), abdominal obesity (AO), total cholesterol (TC), and triglycerides (TG). We applied Bayesian kernel machine regression (BKMR) and Bayesian penalized horseshoe regression for variable selection and then built multivariate generalized propensity score (mvGPS) models to provide an overview of the effects of selected EDCs on metabolic outcomes. As a result, BKMR and horseshoe together identified five EDCs associated with zBMI, three with AO, three with TC, and five with TG. Through mvGPS analysis, monoiso-butyl phthalate (MIBP), polychlorinated biphenyl (PCB-170), and hexachlorobenzene (HCB) each showed an inverse association with zBMI, as did PCB-170 with AO. Copper (Cu) was associated with higher TC and TG, except in boys where it was linked to lower TG. Additionally, monoethyl phthalate (MEP) and monobenzyl phthalate (MBzP) were associated with higher TG. To conclude, our findings support the association between certain chemicals (Cu, MEP, and MBzP) and elevated lipid levels, aligning with prior studies. Further investigation is needed for sex-specific effects.