ArticleEnvironmental health : a global access science source2019
Time-varying associations between prenatal metal mixtures and rapid visual processing in children.
Article in Environmental health : a global access science source, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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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.
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Who cites it
29 citing papers in PubMed, 49 citations in OpenAlex.
- Time-Varying Exposure to Element Mixtures and Children's Cognition at 5 Years of Age: Findings from the New Hampshire Birth Cohort Study.Environmental health perspectives · 2026Article
- Sexual dimorphism in the programming effects of prenatal manganese multi-media biomarker on temporal cognition in school-aged children.Scientific reports · 2026Article
- Essential and non-essential metals in children's intellectual functioning: A multi-media biomarker approach from a Mexico City birth cohort.Environmental research · 2025Article
- Effects of Prenatal Essential and Toxic Metal Exposure on Children's Neurodevelopment: A Multi-Method Approach.Toxics · 2025Article
- Review
- Neurobehavioral effects of low dose exposure to chemical mixtures: a review.Archives of toxicology · 2025Review
- Partial-linear single-index Cox regression models with multiple time-dependent covariates.BMC medical research methodology · 2024Article
- Sex-specific associations of a ferroalloy metal mixture with motor function in Italian adolescents.Environmental epidemiology (Philadelphia, Pa.) · 2024Article
- Modeling Historic Arsenic Exposures and Spatial Risk for Bladder Cancer.Statistics in biosciences · 2024Article
- Identifying critical windows of prenatal phenol, paraben, and pesticide exposure and child neurodevelopment: Findings from a prospective cohort study.The Science of the total environment · 2024Article
- Prenatal exposure to metal mixtures and childhood temporal processing in the PROGRESS Birth Cohort Study: Modification by childhood obesity.The Science of the total environment · 2024Article
- Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024Article
- Mixtures of Metals and Micronutrients in Early Pregnancy and Cognition in Early and Mid-Childhood: Findings from the Project Viva Cohort.Environmental health perspectives · 2023Article
- The Association between Maternal Urinary Phthalate Concentrations and Blood Pressure in Pregnancy: A Systematic Review and Meta-Analysis.Metabolites · 2023Review
- Estimating perinatal critical windows of susceptibility to environmental mixtures via structured Bayesian regression tree pairs.Biometrics · 2023Article
- Topological network properties of resting-state functional connectivity patterns are associated with metal mixture exposure in adolescents.Frontiers in neuroscience · 2023Article
- Exposure to metal mixtures and neuropsychological functioning in middle childhood.Neurotoxicology · 2022Article
- Assessing How Social Exposures Are Integrated in Exposome Research: A Scoping Review.Environmental health perspectives · 2022Article
- Associations of maternal urinary arsenic concentrations during pregnancy with childhood cognitive abilities: The HOME study.International journal of hygiene and environmental health · 2022Article
- Using Metrics of a Mixture Effect and Nutrition from an Observational Study for Consideration towards Causal Inference.International journal of environmental research and public health · 2022Observational
Corrections and comments
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Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundHumans are exposed to mixtures of chemicals across their lifetimes, a concept sometimes called the "exposome." Mixtures likely have temporal "critical windows" of susceptibility like single agents and measuring them repeatedly might help to define such windows. Common approaches to evaluate the effects of chemical mixtures have focused on their effects at a single time point. Our goal is to expand upon these previous techniques and examine the time-varying critical windows for metal mixtures on subsequent neurobehavior in children.
methodsWe propose two methods, joint weighted quantile sum regression (JWQS) and meta-weighted quantile sum regression (MWQS), to estimate the effects of chemical mixtures measured across multiple time points, while providing data on their critical windows of exposure. We compare the performance of both methods using simulations. We also applied both techniques to assess second and third trimester metal mixture effects in predicting performance in the Rapid Visual Processing (RVP) task from the Cambridge Neuropsychological Test Automated Battery (CANTAB) assessed at 6-9 years in children who are part of the PROGRESS (Programming Research in Obesity, GRowth, Environment and Social Stressors) longitudinal cohort study. The metals, arsenic, cadmium (Cd), cesium, chromium, lead (Pb) and antimony (Sb) were selected based on their toxicological profile.
resultsIn simulations, JWQS and MWQS had over 80% accuracy in classifying exposures as either strongly or weakly contributing to an association. In real data, both JWQS and MWQS consistently found that Pb and Cd exposure jointly predicted longer latency in the RVP and that second trimester exposure better predicted the results than the third trimester. Additionally, both JWQS and MWQS highlighted the strong association Cd and Sb had with lower accuracy in the RVP and that third trimester exposure was a better predictor than second trimester exposure.
conclusionsOur results indicate that metal mixtures effects vary across time, have distinct critical windows and that both JWQS and MWQS can determine longitudinal mixture effects including the cumulative contribution of each exposure and critical windows of effect.
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Registered trials
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.